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ORCIDCarola-Bibiane Schönlieb
Carola-Bibiane Schoenlieb – Carola Schönlieb – Carola B. Schönlieb
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- affiliation: University of Cambridge, UK
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2020 – today
- 2025
[j95]Xiaodan Xing, Chunling Tang, Siofra Murdoch, Giorgos Papanastasiou, Yunzhe Guo, Xianglu Xiao, Jan Oscar Cross-Zamirski, Carola-Bibiane Schönlieb, Kristina Xiao Liang, Zhangming Niu, Evandro Fei Fang, Yinhai Wang, Guang Yang:
Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion. Neurocomputing 612: 128715 (2025)- [j94]Jiahao Huang
, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba. Medical Image Anal. 99: 103334 (2025) - 2024
- [j93]Xiaodan Xing, Siofra Murdoch, Chunling Tang, Giorgos Papanastasiou, Jan Oscar Cross-Zamirski, Yunzhe Guo, Xianglu Xiao, Carola-Bibiane Schönlieb, Yinhai Wang, Guang Yang:
Can generative AI replace immunofluorescent staining processes? A comparison study of synthetically generated cellpainting images from brightfield. Comput. Biol. Medicine 182: 109102 (2024) - [j92]Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen:
Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction. Comput. Medical Imaging Graph. 116: 102420 (2024) - [j91]Simone Saitta, Marcello Carioni, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Alberto Redaelli:
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI. Comput. Methods Programs Biomed. 246: 108057 (2024) - [j90]Antonin Chambolle, Claire Delplancke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Junqi Tang:
Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step Sizes. J. Math. Imaging Vis. 66(3): 294-313 (2024) - [j89]Michael Roberts, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb:
The curious case of the test set AUROC. Nat. Mac. Intell. 6(4): 373-376 (2024) - [j88]Michael Roberts, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb:
Publisher Correction: The curious case of the test set AUROC. Nat. Mac. Intell. 6(4): 494 (2024) - [j87]Fan Zhang, Daniel Kreuter, Yichen Chen, Sören Dittmer, Samuel Tull, Tolou Shadbahr, Martijn Schut, Folkert W. Asselbergs, Sujoy Kar, Suthesh Sivapalaratnam, Sophie Williams, Mickey Koh, Yvonne Henskens, Bart de Wit, Umberto D'alessandro, Bubacarr Bah, Ousman Secka, Parashkev Nachev, Rajeev Gupta, Sara Trompeter, Nancy Boeckx, Christine van Laer, Gordon A. Awandare, Kwabena Sarpong, Lucas Amenga-Etego, Mathie Leers, Mirelle Huijskens, Samuel McDermott, Willem H. Ouwehand, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts:
Recent methodological advances in federated learning for healthcare. Patterns 5(6): 101006 (2024) - [j86]Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis:
A linear transportation Lp distance for pattern recognition. Pattern Recognit. 147: 110080 (2024) - [j85]Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb:
Provably Convergent Plug-and-Play Quasi-Newton Methods. SIAM J. Imaging Sci. 17(2): 785-819 (2024) - [j84]Ziruo Cai, Junqi Tang, Subhadip Mukherjee, Jinglai Li, Carola-Bibiane Schönlieb, Xiaoqun Zhang:
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems. SIAM J. Imaging Sci. 17(2): 820-860 (2024) - [j83]Matthias J. Ehrhardt, Lorenz Kuger, Carola-Bibiane Schönlieb:
Proximal Langevin Sampling with Inexact Proximal Mapping. SIAM J. Imaging Sci. 17(3): 1729-1760 (2024) - [j82]Derek Driggs, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Junqi Tang:
Practical Acceleration of the Condat-Vũ Algorithm. SIAM J. Imaging Sci. 17(4): 2076-2109 (2024) - [j81]Sergio Calvo-Ordoñez, Chun-Wun Cheng, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
The Missing U for Efficient Diffusion Models. Trans. Mach. Learn. Res. 2024 (2024) - [j80]Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Continuous U-Net: Faster, Greater and Noiseless. Trans. Mach. Learn. Res. 2024 (2024) - [j79]Zhongying Deng, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j78]Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb:
Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration. Trans. Mach. Learn. Res. 2024 (2024) - [j77]Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5306-5318 (2024) - [c62]Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb:
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. AISTATS 2024: 1792-1800 - [c61]Moshe Eliasof, Davide Murari, Ferdia Sherry, Carola-Bibiane Schönlieb:
Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach. ECAI 2024: 1607-1614 - [c60]Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola B. Schönlieb:
Data-Driven Convex Regularizers for Inverse Problems. ICASSP 2024: 13386-13390 - [c59]Andrey Bryutkin, Jiahao Huang, Zhongying Deng, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations. ICML 2024 - [c58]Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb:
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation. ICML 2024 - [c57]Jan Stanczuk, Georgios Batzolis, Teo Deveney, Carola-Bibiane Schönlieb:
Diffusion Models Encode the Intrinsic Dimension of Data Manifolds. ICML 2024 - [c56]Pengze Li, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Optimised Propainter for Video Diminished Reality Inpainting. ISBI 2024: 1-5 - [c55]Lipei Zhang, Yanqi Cheng, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation. MICCAI (12) 2024: 3-13 - [c54]Ruodan Yan, Carola-Bibiane Schönlieb, Chao Li:
Spatiotemporal Graph Neural Network Modelling Perfusion MRI. MICCAI (2) 2024: 411-421 - [i187]Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb:
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. CoRR abs/2401.11074 (2024) - [i186]Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb:
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation. CoRR abs/2402.01052 (2024) - [i185]Andrey Bryutkin, Jiahao Huang, Zhongying Deng, Guang Yang, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero:
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations. CoRR abs/2402.03541 (2024) - [i184]Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation. CoRR abs/2402.18451 (2024) - [i183]Lipei Zhang, Yanqi Cheng, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation. CoRR abs/2403.09136 (2024) - [i182]Angelica I. Avilés-Rivero, Chun-Wun Cheng, Zhongying Deng, Zoe Kourtzi, Carola-Bibiane Schönlieb:
Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis. CoRR abs/2403.12719 (2024) - [i181]Hong Ye Tan, Ziruo Cai, Marcelo Pereyra, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb:
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation. CoRR abs/2404.05445 (2024) - [i180]Moshe Eliasof, Beatrice Bevilacqua, Carola-Bibiane Schönlieb, Haggai Maron:
GRANOLA: Adaptive Normalization for Graph Neural Networks. CoRR abs/2404.13344 (2024) - [i179]Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb:
Tackling Graph Oversquashing by Global and Local Non-Dissipativity. CoRR abs/2405.01009 (2024) - [i178]Christina Runkel, Ander Biguri, Carola-Bibiane Schönlieb:
Continuous Learned Primal Dual. CoRR abs/2405.02478 (2024) - [i177]Xiaodan Xing, Fadong Shi, Jiahao Huang, Yinzhe Wu, Yang Nan, Sheng Zhang, Yingying Fang, Mike Roberts, Carola-Bibiane Schönlieb, Javier Del Ser, Guang Yang:
When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI. CoRR abs/2405.09597 (2024) - [i176]Jiahao Huang, Liutao Yang, Fanwen Wang, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba. CoRR abs/2405.17659 (2024) - [i175]Fan Zhang, Carlos Esteve-Yagüe, Sören Dittmer, Carola-Bibiane Schönlieb, Michael Roberts:
FedMAP: Unlocking Potential in Personalized Federated Learning through Bi-Level MAP Optimization. CoRR abs/2405.19000 (2024) - [i174]Anna Breger, Ander Biguri, Malena Sabaté Landman, Ian Selby, Nicole Amberg, Elisabeth Brunner, Janek Gröhl, Sepideh Hatamikia, Clemens Karner, Lipeng Ning, Sören Dittmer, Michael Roberts, AIX-COVNET Collaboration, Carola-Bibiane Schönlieb:
A study of why we need to reassess full reference image quality assessment with medical images. CoRR abs/2405.19097 (2024) - [i173]Anna Breger, Clemens Karner, Ian Selby, Janek Gröhl, Sören Dittmer, Edward Lilley, Judith Babar, Jake Beckford, Timothy J. Sadler, Shahab Shahipasand, Arthikkaa Thavakumar, Michael Roberts, Carola-Bibiane Schönlieb:
A study on the adequacy of common IQA measures for medical images. CoRR abs/2405.19224 (2024) - [i172]Pengze Li, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Optimised ProPainter for Video Diminished Reality Inpainting. CoRR abs/2406.02287 (2024) - [i171]Chaoyan Huang, Zhongming Wu, Yanqi Cheng, Tieyong Zeng, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems. CoRR abs/2406.02458 (2024) - [i170]Ruodan Yan, Carola-Bibiane Schönlieb, Chao Li:
Spatiotemporal Graph Neural Network Modelling Perfusion MRI. CoRR abs/2406.06434 (2024) - [i169]Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof:
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function. CoRR abs/2407.02013 (2024) - [i168]James Rowbottom, Georg Maierhofer, Teo Deveney, Katharina Schratz, Pietro Liò, Carola-Bibiane Schönlieb, Chris J. Budd:
G-Adaptive mesh refinement - leveraging graph neural networks and differentiable finite element solvers. CoRR abs/2407.04516 (2024) - [i167]Juheon Lee, Xiaohao Cai, Carola-Bibiane Schönlieb, Simon Masnou:
Neural varifolds: an aggregate representation for quantifying the geometry of point clouds. CoRR abs/2407.04844 (2024) - [i166]Yi Zhang, Chun-Wun Cheng, Ke Yu, Zhihai He, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning. CoRR abs/2407.08672 (2024) - [i165]Jakob Träuble, Lucy V. Hiscox, Curtis L. Johnson, Carola-Bibiane Schönlieb, Gabriele Kaminski Schierle, Angelica I. Avilés-Rivero:
Contrastive Learning with Dynamic Localized Repulsion for Brain Age Prediction on 3D Stiffness Maps. CoRR abs/2408.00527 (2024) - [i164]Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb:
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds. CoRR abs/2408.06996 (2024) - [i163]Maximilian B. Kiss, Ander Biguri, Carola-Bibiane Schönlieb, Kees Joost Batenburg, Felix Lucka:
Learned denoising with simulated and experimental low-dose CT data. CoRR abs/2408.08115 (2024) - [i162]Simon Deltadahl, Julian D. Gilbey, Christine van Laer, Nancy Boeckx, Mathie Leers, Tanya Freeman, Laura Aiken, Timothy Farren, Matthew Smith, Mohamad Zeina, BloodCounts Consortium, Concetta Piazzese, Joseph Taylor, Nicholas S. Gleadall, Carola-Bibiane Schönlieb, Suthesh Sivapalaratnam, Michael Roberts, Parashkev Nachev:
Deep Generative Classification of Blood Cell Morphology. CoRR abs/2408.08982 (2024) - [i161]Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schönlieb, Eldad Haber:
Learning Regularization for Graph Inverse Problems. CoRR abs/2408.10436 (2024) - [i160]Tobias Wolf, Derek Driggs, Kostas Papafitsoros, Elena Resmerita, Carola-Bibiane Schönlieb:
Nested Bregman Iterations for Decomposition Problems. CoRR abs/2409.01097 (2024) - [i159]Liutao Yang, Jiahao Huang, Yingying Fang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction. CoRR abs/2409.01544 (2024) - [i158]Stathis Megas, Daniel G. Chen, Krzysztof Polanski, Moshe Eliasof, Carola-Bibiane Schönlieb, Sarah A. Teichmann:
Celcomen: spatial causal disentanglement for single-cell and tissue perturbation modeling. CoRR abs/2409.05804 (2024) - 2023
- [j76]Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation. J. Digit. Imaging 36(2): 739-752 (2023) - [j75]Kexin Jin, Jonas Latz, Chenguang Liu, Carola-Bibiane Schönlieb:
A Continuous-time Stochastic Gradient Descent Method for Continuous Data. J. Mach. Learn. Res. 24: 274:1-274:48 (2023) - [j74]Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, Ian Selby, Anna Breger, Matthew Thorpe, Jonathan R. Weir-McCall, Effrossyni Gkrania-Klotsas, Anna Korhonen, Emily R. Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Jan Stanczuk, Jing Tang, Judith Babar, Lorena Escudero Sanchez, Philip Teare, Mishal Patel, Marcel Wassin, Markus Holzer, Nicholas Walton, Pietro Lió, Tolou Shadbahr, Evis Sala, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb:
Navigating the development challenges in creating complex data systems. Nat. Mac. Intell. 5(7): 681-686 (2023) - [j73]Jeremy Budd, Yves van Gennip, Jonas Latz, Simone Parisotto, Carola-Bibiane Schönlieb:
Joint Reconstruction-Segmentation on Graphs. SIAM J. Imaging Sci. 16(2): 911-947 (2023) - [j72]Willem Diepeveen, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb:
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds. SIAM J. Imaging Sci. 16(3): 1440-1490 (2023) - [j71]Elena Celledoni, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry:
Dynamical Systems-Based Neural Networks. SIAM J. Sci. Comput. 45(3): 3071-3094 (2023) - [j70]Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb:
Data-Driven Mirror Descent with Input-Convex Neural Networks. SIAM J. Math. Data Sci. 5(2): 558-587 (2023) - [j69]Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella:
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning. IEEE Signal Process. Mag. 40(1): 134-147 (2023) - [j68]Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb:
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications. IEEE Signal Process. Mag. 40(1): 164-182 (2023) - [j67]Huazhu Fu, Yitian Zhao, Pew-Thian Yap, Carola-Bibiane Schönlieb, Alejandro F. Frangi:
Guest Editorial Special Issue on Geometric Deep Learning in Medical Imaging. IEEE Trans. Medical Imaging 42(2): 332-335 (2023) - [j66]Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li:
Multi-Modal Learning for Predicting the Genotype of Glioma. IEEE Trans. Medical Imaging 42(11): 3167-3178 (2023) - [j65]Lei Zhu, Xiaoqiang Wang, Ping Li, Xin Yang, Qing Zhang, Weiming Wang, Carola-Bibiane Schönlieb, C. L. Philip Chen:
S $^3$ Net: Self-Supervised Self-Ensembling Network for Semi-Supervised RGB-D Salient Object Detection. IEEE Trans. Multim. 25: 676-689 (2023) - [c53]Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
SCOTCH and SODA: A Transformer Video Shadow Detection Framework. CVPR 2023: 10449-10458 - [c52]Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Andreas Hauptmann, Carola-Bibiane Schönlieb:
Robust Data-Driven Accelerated Mirror Descent. ICASSP 2023: 1-5 - [c51]Jan Oscar Cross-Zamirski, Praveen Anand, Guy B. Williams, Elizabeth Mouchet, Yinhai Wang, Carola-Bibiane Schönlieb:
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels. ICCV (Workshops) 2023: 3802-3811 - [c50]Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang:
ViGU: Vision GNN U-Net for fast MRI. ISBI 2023: 1-5 - [c49]Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Lipei Zhang, Jianguo Zhang, Stephen J. Price, Carola-Bibiane Schönlieb:
Expectation-Maximization Regularised Deep Learning for Tumour Segmentation. ISBI 2023: 1-5 - [c48]Yiran Wei, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li:
Predicting Conversion of Mild Cognitive Impairment to Alzheimer's Disease by Modelling Healthy Ageing Trajectories. ISBI 2023: 1-5 - [c47]Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang:
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? MICCAI (10) 2023: 3-12 - [c46]Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen:
G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping. CMMCA@MICCAI 2023: 21-30 - [c45]Yijun Yang, Huazhu Fu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Lei Zhu:
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. MICCAI (6) 2023: 95-105 - [c44]Christina Runkel, Michael Möller, Carola-Bibiane Schönlieb, Christian Etmann:
Learning Posterior Distributions in Underdetermined Inverse Problems. SSVM 2023: 187-209 - [c43]Yanqi Cheng, Lihao Liu, Shujun Wang, Yueming Jin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness. TML4H 2023: 177-189 - [i157]Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Continuous U-Net: Faster, Greater and Noiseless. CoRR abs/2302.00626 (2023) - [i156]Tamara G. Grossmann, Urszula Julia Komorowska, Jonas Latz, Carola-Bibiane Schönlieb:
Can Physics-Informed Neural Networks beat the Finite Element Method? CoRR abs/2302.04107 (2023) - [i155]Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang:
ViGU: Vision GNN U-Net for Fast MRI. CoRR abs/2302.10273 (2023) - [i154]Simone Saitta, Marcello Carioni, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Alberto Redaelli:
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI. CoRR abs/2302.12835 (2023) - [i153]Tamara G. Grossmann, Carola-Bibiane Schönlieb, Orietta Da Rold:
Hidden Knowledge: Mathematical Methods for the Extraction of the Fingerprint of Medieval Paper from Digital Images. CoRR abs/2303.03794 (2023) - [i152]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i151]Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb:
Provably Convergent Plug-and-Play Quasi-Newton Methods. CoRR abs/2303.07271 (2023) - [i150]Jing Zou, Noémie Debroux, Lihao Liu, Jing Qin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation. CoRR abs/2303.08113 (2023) - [i149]Jan Oscar Cross-Zamirski, Praveen Anand, Guy B. Williams, Elizabeth Mouchet, Yinhai Wang, Carola-Bibiane Schönlieb:
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels. CoRR abs/2303.08863 (2023) - [i148]Shujun Wang, Angelica I. Avilés-Rivero, Zoe Kourtzi, Carola-Bibiane Schönlieb:
HGIB: Prognosis for Alzheimer's Disease via Hypergraph Information Bottleneck. CoRR abs/2303.10390 (2023) - [i147]Yijun Yang, Huazhu Fu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Lei Zhu:
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. CoRR abs/2303.10610 (2023) - [i146]Jiahao Huang, Pedro F. Ferreira, Lichao Wang, Yinzhe Wu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Ramyah Rajakulasingam, Ranil De Silva, Dudley J. Pennell, Sonia Nielles-Vallespin, Guang Yang:
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study. CoRR abs/2304.00996 (2023) - [i145]Ziruo Cai, Junqi Tang, Subhadip Mukherjee, Jinglai Li, Carola-Bibiane Schönlieb, Xiaoqun Zhang:
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems. CoRR abs/2304.08342 (2023) - [i144]Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb:
Variational Diffusion Auto-encoder: Deep Latent Variable Model with Unconditional Diffusion Prior. CoRR abs/2304.12141 (2023) - [i143]Daniel Kreuter, Samuel Tull, Julian D. Gilbey, Jacobus Preller, BloodCounts Consortium, John A. D. Aston, James H. F. Rudd, Suthesh Sivapalaratnam, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts:
Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data. CoRR abs/2306.09177 (2023) - [i142]Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang:
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? CoRR abs/2306.14350 (2023) - [i141]Ferdia Sherry, Elena Celledoni, Matthias J. Ehrhardt, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb:
Designing Stable Neural Networks using Convex Analysis and ODEs. CoRR abs/2306.17332 (2023) - [i140]Matthias J. Ehrhardt, Lorenz Kuger, Carola-Bibiane Schönlieb:
Proximal Langevin Sampling With Inexact Proximal Mapping. CoRR abs/2306.17737 (2023) - [i139]Chaoyu Liu, Zhonghua Qiao, Chao Li, Carola-Bibiane Schönlieb:
Inverse Evolution Layers: Physics-informed Regularizers for Deep Neural Networks. CoRR abs/2307.07344 (2023) - [i138]Andreas Hauptmann, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Ferdia Sherry:
Convergent regularization in inverse problems and linear plug-and-play denoisers. CoRR abs/2307.09441 (2023) - [i137]Sören Dittmer, Michael Roberts, Jacobus Preller, AIX-COVNET Collaboration, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb:
Reinterpreting survival analysis in the universal approximator age. CoRR abs/2307.13579 (2023) - [i136]Yijun Yang, Shujun Wang, Lihao Liu, Sarah Hickman, Fiona J. Gilbert, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening. CoRR abs/2308.01057 (2023) - [i135]Willem Diepeveen, Carlos Esteve-Yagüe, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb:
Riemannian geometry for efficient analysis of protein dynamics data. CoRR abs/2308.07818 (2023) - [i134]B. A. Schreiber, J. Denholm, F. Jaeckle, M. J. Arends, Kim M. Branson, Carola-Bibiane Schönlieb, E. J. Soilleux:
Bang and the Artefacts are Gone! Rapid Artefact Removal and Tissue Segmentation in Haematoxylin and Eosin Stained Biopsies. CoRR abs/2308.13304 (2023) - [i133]Fan Zhang, Daniel Kreuter, Yichen Chen, Sören Dittmer, Samuel Tull, Tolou Shadbahr, BloodCounts Collaboration, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts:
Recent Methodological Advances in Federated Learning for Healthcare. CoRR abs/2310.02874 (2023) - [i132]Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb:
Provably Convergent Data-Driven Convex-Nonconvex Regularization. CoRR abs/2310.05812 (2023) - [i131]Sergio Calvo-Ordoñez, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Beyond U: Making Diffusion Models Faster & Lighter. CoRR abs/2310.20092 (2023) - [i130]Moshe Eliasof, Davide Murari, Ferdia Sherry, Carola-Bibiane Schönlieb:
Contractive Systems Improve Graph Neural Networks Against Adversarial Attacks. CoRR abs/2311.06942 (2023) - [i129]Lihao Liu, Yanqi Cheng, Dongdong Chen, Jing He, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Traffic Video Object Detection using Motion Prior. CoRR abs/2311.10092 (2023) - [i128]Zhenda Shen, Yanqi Cheng, Raymond H. Chan, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations. CoRR abs/2311.13610 (2023) - [i127]Yanqi Cheng, Lipei Zhang, Zhenda Shen, Shujun Wang, Lequan Yu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Single-Shot Plug-and-Play Methods for Inverse Problems. CoRR abs/2311.13682 (2023) - [i126]Teo Deveney, Jan Stanczuk, Lisa Maria Kreusser, Chris J. Budd, Carola-Bibiane Schönlieb:
Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation. CoRR abs/2311.15996 (2023) - [i125]Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero:
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. CoRR abs/2311.18839 (2023) - [i124]Michael Roberts, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb:
The curious case of the test set AUROC. CoRR abs/2312.16188 (2023) - 2022
- [j64]Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation. Comput. Medical Imaging Graph. 95: 102026 (2022) - [j63]Erlend Skaldehaug Riis, Matthias J. Ehrhardt, G. R. W. Quispel, Carola-Bibiane Schönlieb:
A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation. Found. Comput. Math. 22(5): 1351-1394 (2022) - [j62]Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. Inf. Fusion 82: 99-122 (2022) - [j61]Bogdan Toader, Jérôme Boulanger, Yury Korolev, Martin O. Lenz, James Manton, Carola-Bibiane Schönlieb, Leila Muresan:
Image Reconstruction in Light-Sheet Microscopy: Spatially Varying Deconvolution and Mixed Noise. J. Math. Imaging Vis. 64(9): 968-992 (2022) - [j60]Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Hua Huang, Carola-Bibiane Schönlieb:
TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems. J. Mach. Learn. Res. 23: 16:1-16:48 (2022) - [j59]Derek Driggs, Jingwei Liang, Carola-Bibiane Schönlieb:
On Biased Stochastic Gradient Estimation. J. Mach. Learn. Res. 23: 24:1-24:43 (2022) - [j58]Tao Wei, Angelica I. Avilés-Rivero, Shuo Wang, Yuan Huang, Fiona J. Gilbert, Carola-Bibiane Schönlieb, Chang Wen Chen:
Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations. Medical Image Anal. 82: 102618 (2022) - [j57]Derek Driggs, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb:
Accelerating variance-reduced stochastic gradient methods. Math. Program. 191(2): 671-715 (2022) - [j56]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 4(4): 413 (2022) - [j55]Rihuan Ke, Carola-Bibiane Schönlieb:
Unsupervised Image Restoration Using Partially Linear Denoisers. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5796-5812 (2022) - [j54]Yutong Chen, Carola-Bibiane Schönlieb, Pietro Liò, Tim Leiner, Pier Luigi Dragotti, Ge Wang, Daniel Rueckert, David N. Firmin, Guang Yang:
AI-Based Reconstruction for Fast MRI - A Systematic Review and Meta-Analysis. Proc. IEEE 110(2): 224-245 (2022) - [j53]Angelica I. Avilés-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis:
GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays. Pattern Recognit. 122: 108274 (2022) - [j52]Jingwei Liang, Tao Luo, Carola-Bibiane Schönlieb:
Improving "Fast Iterative Shrinkage-Thresholding Algorithm": Faster, Smarter, and Greedier. SIAM J. Sci. Comput. 44(3): 1069- (2022) - [j51]Madeleine S. Kotzagiannidis, Carola-Bibiane Schönlieb:
Semi-Supervised Superpixel-Based Multi-Feature Graph Learning for Hyperspectral Image Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j50]Rihuan Ke, Angelica I. Avilés-Rivero, Saurabh Pandey, Saikumar Reddy, Carola-Bibiane Schönlieb:
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. IEEE Trans. Image Process. 31: 1805-1815 (2022) - [c42]Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li:
Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading. BMVC 2022: 1071 - [c41]Shuai Wang, Lei Zhu, Huazhu Fu, Jing Qin, Carola-Bibiane Schönlieb, Wei Feng, Song Wang:
Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior. ECCV (19) 2022: 565-582 - [c40]Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schönlieb:
Stylegan-Induced Data-Driven Regularization for Inverse Problems. ICASSP 2022: 3788-3792 - [c39]Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price:
Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma. ISBI 2022: 1-4 - [c38]Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation. ISBI 2022: 1-5 - [c37]Jiayuan Zhu, Shujun Wang, Jinzheng He, Carola-Bibiane Schönlieb, Lequan Yu:
Multi-task Learning-Driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification. CMMCA@MICCAI 2022: 110-120 - [c36]Angelica I. Avilés-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb:
Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. MICCAI (3) 2022: 717-727 - [c35]Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. MIUA 2022: 130-138 - [c34]Hankui Peng, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation. WACV 2022: 72-81 - [c33]Lihao Liu, Zhening Huang, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration. WBIR 2022: 190-193 - [e1]Guang Yang, Angelica I. Avilés-Rivero, Michael Roberts, Carola-Bibiane Schönlieb:
Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27-29, 2022, Proceedings. Lecture Notes in Computer Science 13413, Springer 2022, ISBN 978-3-031-12052-7 [contents] - [d7]Simone Parisotto, Alessandro Launaro, Ninetta Leone, Carola-Bibiane Schönlieb:
ROCOPOT (ROman COmmonware POTtery) Dataset. Version 2.0. Zenodo, 2022 [all versions]
- [i123]Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price:
Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma. CoRR abs/2201.05530 (2022) - [i122]Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions. CoRR abs/2201.06505 (2022) - [i121]Irene Fonseca, Lisa Maria Kreusser, Carola-Bibiane Schönlieb, Matthew Thorpe:
Γ-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation. CoRR abs/2202.04965 (2022) - [i120]Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. CoRR abs/2203.00157 (2022) - [i119]Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li:
Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading. CoRR abs/2203.04013 (2022) - [i118]Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li:
Predicting conversion of mild cognitive impairment to Alzheimer's disease. CoRR abs/2203.04725 (2022) - [i117]Lihao Liu, Zhening Huang, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation. CoRR abs/2203.05684 (2022) - [i116]Simone Parisotto, Ninetta Leone, Carola-Bibiane Schönlieb, Alessandro Launaro:
Unsupervised Clustering of Roman Potsherds via Variational Autoencoders. CoRR abs/2203.07437 (2022) - [i115]Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li:
Multi-modal learning for predicting the genotype of glioma. CoRR abs/2203.10852 (2022) - [i114]Angelica I. Avilés-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb:
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. CoRR abs/2204.02399 (2022) - [i113]Tamara G. Grossmann, Sören Dittmer, Yury Korolev, Carola-Bibiane Schönlieb:
Unsupervised Learning of the Total Variation Flow. CoRR abs/2206.04406 (2022) - [i112]Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb:
Learned reconstruction with convergence guarantees. CoRR abs/2206.05431 (2022) - [i111]Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian D. Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramón Viñas Torné, Evis Sala, Pietro Lió, Mishal Patel, AIX-COVNET Collaboration, James H. F. Rudd, Tuomas Mirtti, Antti Rannikko, John A. D. Aston, Jing Tang, Carola-Bibiane Schönlieb:
Classification of datasets with imputed missing values: does imputation quality matter? CoRR abs/2206.08478 (2022) - [i110]Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann:
Non-Uniform Diffusion Models. CoRR abs/2207.09786 (2022) - [i109]Junqi Tang, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb:
Stochastic Primal-Dual Three Operator Splitting with Arbitrary Sampling and Preconditioning. CoRR abs/2208.01631 (2022) - [i108]Jeremy Budd, Yves van Gennip, Jonas Latz, Simone Parisotto, Carola-Bibiane Schönlieb:
Joint reconstruction-segmentation on graphs. CoRR abs/2208.05834 (2022) - [i107]Junqi Tang, Subhadip Mukherjee, Carola-Bibiane Schönlieb:
Accelerating Deep Unrolling Networks via Dimensionality Reduction. CoRR abs/2208.14784 (2022) - [i106]Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella:
Imaging with Equivariant Deep Learning. CoRR abs/2209.01725 (2022) - [i105]Jan Oscar Cross-Zamirski, Guy B. Williams, Elizabeth Mouchet, Carola-Bibiane Schönlieb, Riku Turkki, Yinhai Wang:
Self-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels. CoRR abs/2209.07819 (2022) - [i104]Yanqi Cheng, Lihao Liu, Shujun Wang, Yueming Jin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness. CoRR abs/2209.08647 (2022) - [i103]Elena Celledoni, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry:
Dynamical systems' based neural networks. CoRR abs/2210.02373 (2022) - [i102]Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, AIX-COVNET Collaboration, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb:
Navigating the challenges in creating complex data systems: a development philosophy. CoRR abs/2210.13191 (2022) - [i101]Yakov Vaisbourd, Rustum Choksi, Ariel Goodwin, Tim Hoheisel, Carola-Bibiane Schönlieb:
Maximum Entropy on the Mean and the Cramér Rate Function in Statistical Estimation and Inverse Problems: Properties, Models, and Algorithms. CoRR abs/2211.05205 (2022) - [i100]Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
SCOTCH and SODA: A Transformer Video Shadow Detection Framework. CoRR abs/2211.06885 (2022) - [i99]Zhongying Deng, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning. CoRR abs/2211.09593 (2022) - [i98]Zhongying Deng, Yanqi Chen, Lihao Liu, Shujun Wang, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation. CoRR abs/2211.09620 (2022) - [i97]Malena Sabate Landman, Ander Biguri, Sepideh Hatamikia, Richard P. Boardman, John A. D. Aston, Carola-Bibiane Schönlieb:
On Krylov Methods for Large Scale CBCT Reconstruction. CoRR abs/2211.14212 (2022) - [i96]Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb:
Your diffusion model secretly knows the dimension of the data manifold. CoRR abs/2212.12611 (2022) - 2021
- [j49]Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy. Comput. Biol. Medicine 137: 104815 (2021) - [j48]Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek:
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. Comput. Methods Programs Biomed. 208: 106261 (2021) - [j47]Jiulong Liu, Angelica I. Avilés-Rivero, Hui Ji, Carola-Bibiane Schönlieb:
Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction. Medical Image Anal. 68: 101930 (2021) - [j46]Angelica I. Avilés-Rivero, Noémie Debroux, Guy B. Williams, Martin J. Graves, Carola-Bibiane Schönlieb:
Compressed sensing plus motion (CS + M): A new perspective for improving undersampled MR image reconstruction. Medical Image Anal. 68: 101933 (2021) - [j45]Veronica Corona, Angelica I. Avilés-Rivero, Noémie Debroux, Carole Le Guyader, Carola-Bibiane Schönlieb:
Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution. Medical Image Anal. 68: 101941 (2021) - [j44]Michael Roberts, Derek Driggs, Matthew Thorpe, Julian D. Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, Effrossyni Gkrania-Klotsas, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb:
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. Nat. Mach. Intell. 3(3): 199-217 (2021) - [j43]Jia Wu, Chao Li, Michael Gensheimer, Sukhmani Padda, Fumi Kato, Hiroki Shirato, Yiran Wei, Carola-Bibiane Schönlieb, Stephen John Price, David A. Jaffray, John V. Heymach, Joel W. Neal, Billy W. Loo, Heather Wakelee, Maximilian Diehn, Ruijiang Li:
Radiological tumour classification across imaging modality and histology. Nat. Mach. Intell. 3(9): 787-798 (2021) - [j42]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 3(12): 1081-1089 (2021) - [j41]Jianchao Zhang, Angelica I. Avilés-Rivero, Daniel Heydecker, Xiaosheng Zhuang, Raymond H. Chan, Carola-Bibiane Schönlieb:
Dynamic spectral residual superpixels. Pattern Recognit. 112: 107705 (2021) - [j40]Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon R. Arridge:
On Learned Operator Correction in Inverse Problems. SIAM J. Imaging Sci. 14(1): 92-127 (2021) - [j39]Martin Benning, Marta M. Betcke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb:
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework. SIAM J. Imaging Sci. 14(2): 814-843 (2021) - [j38]Derek Driggs, Junqi Tang, Jingwei Liang, Mike E. Davies, Carola-Bibiane Schönlieb:
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization. SIAM J. Imaging Sci. 14(4): 1932-1970 (2021) - [j37]Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schütz, Carola-Bibiane Schönlieb:
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks. IEEE Trans. Image Process. 30: 3555-3567 (2021) - [c32]Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen:
Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma. BrainLes@MICCAI (1) 2021: 124-139 - [c31]Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price:
Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks. BrainLes@MICCAI (1) 2021: 140-150 - [c30]Chao Li, Yiran Wei, Xi Chen, Carola-Bibiane Schönlieb:
BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification. DGM4MICCAI/DALI@MICCAI 2021: 103-111 - [c29]Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb:
End-to-end reconstruction meets data-driven regularization for inverse problems. NeurIPS 2021: 21413-21425 - [c28]Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb:
Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems. SSVM 2021: 540-552 - [d6]Simone Parisotto, Alessandro Launaro, Ninetta Leone, Carola-Bibiane Schönlieb:
ROCOPOT (ROman COmmonware POTtery) Dataset. Version 1.0. Zenodo, 2021 [all versions] - [d5]Simone Parisotto, Stella Panayotova, Suzanne Reynolds, Carola-Bibiane Schönlieb:
INLUMINA (INpainting of ilLUminated MINiatures App) Dataset. Zenodo, 2021 - [i95]Tao Wei, Angelica I. Avilés-Rivero, Shuo Wang, Yuan Huang, Fiona J. Gilbert, Carola-Bibiane Schönlieb, Chang Wen Chen:
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations. CoRR abs/2101.07945 (2021) - [i94]Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb:
Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma. CoRR abs/2101.08757 (2021) - [i93]Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation. CoRR abs/2102.04525 (2021) - [i92]Christina Runkel, Christian Etmann, Michael Möller, Carola-Bibiane Schönlieb:
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization. CoRR abs/2102.06496 (2021) - [i91]Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry:
Equivariant neural networks for inverse problems. CoRR abs/2102.11504 (2021) - [i90]Jan Stanczuk, Christian Etmann, Lisa Maria Kreusser, Carola-Bibiane Schönlieb:
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance). CoRR abs/2103.01678 (2021) - [i89]Maria L. Hänel, Carola-Bibiane Schönlieb:
Efficient Global Optimization of Non-differentiable, Symmetric Objectives for Multi Camera Placement. CoRR abs/2103.11210 (2021) - [i88]Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb:
Adversarially learned iterative reconstruction for imaging inverse problems. CoRR abs/2103.16151 (2021) - [i87]Madeleine Kotzagiannidis, Carola-Bibiane Schönlieb:
Semi-supervised Superpixel-based Multi-Feature Graph Learning for Hyperspectral Image Data. CoRR abs/2104.13268 (2021) - [i86]Julian D. Gilbey, Carola-Bibiane Schönlieb:
An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images. CoRR abs/2105.04515 (2021) - [i85]Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy. CoRR abs/2105.07467 (2021) - [i84]Georgios Batzolis, Marcello Carioni, Christian Etmann, Soroosh Afyouni, Zoe Kourtzi, Carola-Bibiane Schönlieb:
CAFLOW: Conditional Autoregressive Flows. CoRR abs/2106.02531 (2021) - [i83]Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb:
End-to-end reconstruction meets data-driven regularization for inverse problems. CoRR abs/2106.03538 (2021) - [i82]Hankui Peng, Angelica I. Avilés-Rivero, Carola-Bibiane Schoenlieb:
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation. CoRR abs/2106.03755 (2021) - [i81]Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification. CoRR abs/2106.04527 (2021) - [i80]Bogdan Toader, Jérôme Boulanger, Yury Korolev, Martin O. Lenz, James Manton, Carola-Bibiane Schönlieb, Leila Muresan:
Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise. CoRR abs/2108.03642 (2021) - [i79]Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen:
Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma. CoRR abs/2108.09423 (2021) - [i78]Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price:
Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks. CoRR abs/2109.01854 (2021) - [i77]Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schönlieb:
StyleGAN-induced data-driven regularization for inverse problems. CoRR abs/2110.03814 (2021) - [i76]Subhadip Mukherjee, Carola-Bibiane Schönlieb, Martin Burger:
Learning convex regularizers satisfying the variational source condition for inverse problems. CoRR abs/2110.12520 (2021) - [i75]Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation. CoRR abs/2111.00528 (2021) - [i74]Michael Yeung, Guang Yang, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation. CoRR abs/2111.00533 (2021) - [i73]Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Focal Attention Networks: optimising attention for biomedical image segmentation. CoRR abs/2111.00534 (2021) - [i72]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia:
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. CoRR abs/2111.09461 (2021) - [i71]Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann:
Conditional Image Generation with Score-Based Diffusion Models. CoRR abs/2111.13606 (2021) - [i70]Kexin Jin, Jonas Latz, Chenguang Liu, Carola-Bibiane Schönlieb:
A Continuous-time Stochastic Gradient Descent Method for Continuous Data. CoRR abs/2112.03754 (2021) - [i69]Yutong Chen, Carola-Bibiane Schönlieb, Pietro Liò, Tim Leiner, Pier Luigi Dragotti, Gerald Wang, Daniel Rueckert, David N. Firmin, Guang Yang:
AI-based Reconstruction for Fast MRI - A Systematic Review and Meta-analysis. CoRR abs/2112.12744 (2021) - 2020
- [j36]L. Robert Hocking, Thomas Holding, Carola-Bibiane Schönlieb:
Analysis of Artifacts in Shell-Based Image Inpainting: Why They Occur and How to Eliminate Them. Found. Comput. Math. 20(6): 1549-1651 (2020) - [j35]Martin Benning, Erlend Skaldehaug Riis, Carola-Bibiane Schönlieb:
Bregman Itoh-Abe Methods for Sparse Optimisation. J. Math. Imaging Vis. 62(6-7): 842-857 (2020) - [j34]Noémie Debroux, John A. D. Aston, Fabien Bonardi, Alistair Forbes, Carole Le Guyader, Marina Romanchikova, Carola-Bibiane Schönlieb:
A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis. SIAM J. Imaging Sci. 13(1): 351-380 (2020) - [j33]Simone Parisotto, Simon Masnou, Carola-Bibiane Schönlieb:
Higher-Order Total Directional Variation: Analysis. SIAM J. Imaging Sci. 13(1): 474-496 (2020) - [j32]Simone Parisotto, Jan Lellmann, Simon Masnou, Carola-Bibiane Schönlieb:
Higher-Order Total Directional Variation: Imaging Applications. SIAM J. Imaging Sci. 13(4): 2063-2104 (2020) - [j31]Jonathan Williams, Carola-Bibiane Schönlieb, Tom Swinfield, Juheon Lee, Xiaohao Cai, Lan Qie, David A. Coomes:
3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm. IEEE Trans. Geosci. Remote. Sens. 58(2): 754-776 (2020) - [j30]Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(6): 4180-4193 (2020) - [j29]Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb:
Variational Osmosis for Non-Linear Image Fusion. IEEE Trans. Image Process. 29: 5507-5516 (2020) - [j28]Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy B. Williams, Carola-Bibiane Schönlieb, Matthias Joachim Ehrhardt:
Learning the Sampling Pattern for MRI. IEEE Trans. Medical Imaging 39(12): 4310-4321 (2020) - [c27]Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb:
Learning to Segment Microscopy Images with Lazy Labels. ECCV Workshops (1) 2020: 411-428 - [c26]Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, Hua Huang:
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. ICML 2020: 10158-10169 - [c25]Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb:
iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems. MLSP 2020: 1-6 - [c24]Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola B. Schönlieb:
Deeply Learned Spectral Total Variation Decomposition. NeurIPS 2020 - [d4]Julian D. Gilbey, Carola-Bibiane Schönlieb:
Low resolution scanned text dataset for optical character recognition. Zenodo, 2020 - [d3]Julian D. Gilbey, Carola-Bibiane Schönlieb:
Trained tesseract networks for low-resolution optical character recognition. Zenodo, 2020 - [d2]Simone Parisotto, Carola-Bibiane Schönlieb:
MATLAB/Python Codes for the Image Inpainting Problem. Zenodo, 2020 - [i68]Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification. CoRR abs/2001.05317 (2020) - [i67]Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, Hua Huang:
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. CoRR abs/2002.09611 (2020) - [i66]Timothée Schmoderer, Angelica I. Avilés-Rivero, Veronica Corona, Noémie Debroux, Carola B. Schönlieb:
Learning Optical Flow for Fast MRI Reconstruction. CoRR abs/2004.10464 (2020) - [i65]Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb:
iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling. CoRR abs/2005.05220 (2020) - [i64]Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon R. Arridge:
On Learned Operator Correction. CoRR abs/2005.07069 (2020) - [i63]Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek:
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. CoRR abs/2005.07545 (2020) - [i62]Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schütz, Carola-Bibiane Schönlieb:
Multi-task deep learning for image segmentation using recursive approximation tasks. CoRR abs/2005.13053 (2020) - [i61]Leon Bungert, Martin Burger, Yury Korolev, Carola-Bibiane Schoenlieb:
Variational regularisation for inverse problems with imperfect forward operators and general noise models. CoRR abs/2005.14131 (2020) - [i60]Simone Parisotto, Alessandro Launaro, Ninetta Leone, Carola-Bibiane Schönlieb:
Unsupervised clustering of Roman pottery profiles from their SSAE representation. CoRR abs/2006.03156 (2020) - [i59]Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Robert I. McLachlan, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry:
Structure preserving deep learning. CoRR abs/2006.03364 (2020) - [i58]Jonathan Williams, Carola-Bibiane Schönlieb, Tom Swinfield, Bambang Irawan, Eva Achmad, Muhammad Zudhi, Habibi, Elva Gemita, David A. Coomes:
SLIC-UAV: A Method for monitoring recovery in tropical restoration projects through identification of signature species using UAVs. CoRR abs/2006.06624 (2020) - [i57]Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola-Bibiane Schönlieb:
Deeply Learned Spectral Total Variation Decomposition. CoRR abs/2006.10004 (2020) - [i56]Sören Dittmer, Carola-Bibiane Schönlieb, Peter Maass:
Ground Truth Free Denoising by Optimal Transport. CoRR abs/2007.01575 (2020) - [i55]Ninetta Leone, Simone Parisotto, Kasia Targonska-Hadzibabic, Spike Bucklow, Alessandro Launaro, Suzanne Reynolds, Carola-Bibiane Schönlieb:
Art Speaks Maths, Maths Speaks Art. CoRR abs/2007.08886 (2020) - [i54]Andreas Hauptmann, Ozan Öktem, Carola Schönlieb:
Image reconstruction in dynamic inverse problems with temporal models. CoRR abs/2007.10238 (2020) - [i53]Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb:
Learned convex regularizers for inverse problems. CoRR abs/2008.02839 (2020) - [i52]Robert Tovey, Duncan N. Johnstone, Sean M. Collins, William R. B. Lionheart, Paul A. Midgley, Martin Benning, Carola-Bibiane Schönlieb:
Scanning electron diffraction tomography of strain. CoRR abs/2008.03281 (2020) - [i51]Rihuan Ke, Carola-Bibiane Schönlieb:
Unsupervised Image Restoration Using Partially Linear Denoisers. CoRR abs/2008.06164 (2020) - [i50]Michael Roberts, Derek Driggs, Matthew Thorpe, Julian D. Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb:
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review. CoRR abs/2008.06388 (2020) - [i49]Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis:
A Linear Transportation Lp Distance for Pattern Recognition. CoRR abs/2009.11262 (2020) - [i48]Angelica I. Avilés-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis:
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays. CoRR abs/2010.00378 (2020) - [i47]Veronica Corona, Yehuda Dar, Carola-Bibiane Schönlieb:
Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding. CoRR abs/2010.04065 (2020) - [i46]Lihao Liu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Contrastive Registration for Unsupervised Medical Image Segmentation. CoRR abs/2011.08894 (2020) - [i45]Rihuan Ke, Angelica I. Avilés-Rivero, Saurabh Pandey, Saikumar Reddy, Carola-Bibiane Schönlieb:
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. CoRR abs/2012.00827 (2020) - [i44]Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Hua Huang, Carola-Bibiane Schönlieb:
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems. CoRR abs/2012.05703 (2020)
2010 – 2019
- 2019
- [j27]Simon R. Arridge, Peter Maass, Ozan Öktem, Carola-Bibiane Schönlieb:
Solving inverse problems using data-driven models. Acta Numer. 28: 1-174 (2019) - [j26]Tom Swinfield, Jeremy A. Lindsell, Jonathan V. Williams, Rhett D. Harrison, Agustiono, Habibi, Elva Gemita, Carola B. Schönlieb, David A. Coomes:
Accurate Measurement of Tropical Forest Canopy Heights and Aboveground Carbon Using Structure From Motion. Remote. Sens. 11(8): 928 (2019) - [j25]José A. Carrillo, Bertram Düring, Lisa Maria Kreusser, Carola-Bibiane Schönlieb:
Stability Analysis of Line Patterns of an Anisotropic Interaction Model. SIAM J. Appl. Dyn. Syst. 18(4): 1798-1845 (2019) - [j24]Xiaohao Cai, Raymond H. Chan, Carola-Bibiane Schönlieb, Gabriele Steidl, Tieyong Zeng:
Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation. SIAM J. Sci. Comput. 41(6): B1310-B1340 (2019) - [j23]Daniel Heydecker, Georg Maierhofer, Angelica I. Avilés-Rivero, Qingnan Fan, Dongdong Chen, Carola-Bibiane Schönlieb, Sabine Süsstrunk:
Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal. IEEE Trans. Image Process. 28(12): 6185-6197 (2019) - [c23]Ruoteng Li, Robby T. Tan, Loong Fah Cheong, Angelica I. Avilés-Rivero, Qingnan Fan, Carola Schönlieb:
RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect. ICCV 2019: 7303-7312 - [c22]Christian Etmann, Sebastian Lunz, Peter Maass, Carola Schönlieb:
On the Connection Between Adversarial Robustness and Saliency Map Interpretability. ICML 2019: 1823-1832 - [c21]Philip Sellars, Angelica I. Avilés-Rivero, Nicolas Papadakis, David Coomes, Anita Faul, Carola-Bibiane Schönlieb:
Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. IGARSS 2019: 592-595 - [c20]Pan Liu, Chao Li, Carola-Bibiane Schönlieb:
GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions. MICCAI (3) 2019: 110-117 - [c19]Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb:
GraphX $$^\mathbf{\small NET } -$$ -Chest X-Ray Classification Under Extreme Minimal Supervision. MICCAI (6) 2019: 504-512 - [c18]Carola-Bibiane Schönlieb:
Deep learning for inverse imaging problems: some recent approaches (Conference Presentation). Medical Imaging: Image Processing 2019: 109490R - [c17]Veronica Corona, Angelica I. Avilés-Rivero, Noémie Debroux, Martin J. Graves, Carole Le Guyader, Carola-Bibiane Schönlieb, Guy B. Williams:
Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration. SSVM 2019: 263-274 - [c16]Martin Burger, Yury Korolev, Carola-Bibiane Schönlieb, Christiane Stollenwerk:
A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions. SSVM 2019: 485-497 - [c15]Simone Parisotto, Carola-Bibiane Schönlieb:
Total Directional Variation for Video Denoising. SSVM 2019: 522-534 - [d1]Lukas F. Lang, Nilankur Dutta, Elena Scarpa, Bénédicte Sanson, Carola-Bibiane Schönlieb, Jocelyn Étienne:
Microscopy image sequences and annotated kymographs of laser ablation experiments in Drosophila embryos. Zenodo, 2019 - [i43]Philip Sellars, Angelica I. Avilés-Rivero, Nicolas Papadakis, David Coomes, Anita Faul, Carola-Bibiane Schönlieb:
Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. CoRR abs/1901.04240 (2019) - [i42]Martin Burger, Yury Korolev, Carola-Bibiane Schönlieb, Christiane Stollenwerk:
A total variation based regularizer promoting piecewise-Lipschitz reconstructions. CoRR abs/1903.05079 (2019) - [i41]Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification. CoRR abs/1903.06548 (2019) - [i40]Jonathan V. Williams, Carola-Bibiane Schönlieb, Tom Swinfield, Juheon Lee, Xiaohao Cai, Lan Qie, David A. Coomes:
Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC). CoRR abs/1903.08481 (2019) - [i39]Martin Benning, Elena Celledoni, Matthias J. Ehrhardt, Brynjulf Owren, Carola-Bibiane Schönlieb:
Deep learning as optimal control problems: models and numerical methods. CoRR abs/1904.05657 (2019) - [i38]Christian Etmann, Sebastian Lunz, Peter Maass, Carola-Bibiane Schönlieb:
On the Connection Between Adversarial Robustness and Saliency Map Interpretability. CoRR abs/1905.04172 (2019) - [i37]Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Samar M. Alsaleh, Robby T. Tan, Carola-Bibiane Schönlieb:
Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian. CoRR abs/1906.08635 (2019) - [i36]Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy B. Williams, Carola-Bibiane Schönlieb, Matthias J. Ehrhardt:
Learning the Sampling Pattern for MRI. CoRR abs/1906.08754 (2019) - [i35]Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb:
A multi-task U-net for segmentation with lazy labels. CoRR abs/1906.12177 (2019) - [i34]Noémie Debroux, John A. D. Aston, Fabien Bonardi, Alistair Forbes, Carole Le Guyader, Marina Romanchikova, Carola Schönlieb:
A Variational Model Dedicated to Joint Segmentation, Registration and Atlas Generation for Shape Analysis. CoRR abs/1907.01840 (2019) - [i33]Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb:
GraphXNET-Chest X-Ray Classification Under Extreme Minimal Supervision. CoRR abs/1907.10085 (2019) - [i32]Veronica Corona, Martin Benning, Lynn F. Gladden, Andi Reci, Andrew J. Sederman, Carola-Bibiane Schoenlieb:
Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data. CoRR abs/1908.05285 (2019) - [i31]Veronica Corona, Angelica I. Avilés-Rivero, Noémie Debroux, Carole Le Guyader, Carola-Bibiane Schönlieb:
Variational Multi-Task MRI Reconstruction: Joint Reconstruction, Registration and Super-Resolution. CoRR abs/1908.05911 (2019) - [i30]Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis:
PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds. CoRR abs/1909.10221 (2019) - [i29]Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb:
Variational Osmosis for Non-linear Image Fusion. CoRR abs/1910.02012 (2019) - [i28]Jianchao Zhang, Angelica I. Avilés-Rivero, Daniel Heydecker, Xiosheng Zhuang, Raymond H. Chan, Carola-Bibiane Schönlieb:
Dynamic Spectral Residual Superpixels. CoRR abs/1910.04794 (2019) - [i27]Martin Burger, Yury Korolev, Simone Parisotto, Carola-Bibiane Schönlieb:
Total Variation Regularisation with Spatially Variable Lipschitz Constraints. CoRR abs/1912.02768 (2019) - [i26]Qingnan Fan, Yingda Yin, Dongdong Chen, Yujie Wang, Angelica I. Avilés-Rivero, Ruoteng Li, Carola-Bibiane Schönlieb, Dani Lischinski, Baoquan Chen:
Deep Reflection Prior. CoRR abs/1912.03623 (2019) - [i25]Jiulong Liu, Angelica I. Avilés-Rivero, Hui Ji, Carola-Bibiane Schönlieb:
Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction. CoRR abs/1912.07648 (2019) - [i24]José A. Carrillo, Bertram Düring, Lisa Maria Kreusser, Carola-Bibiane Schönlieb:
Equilibria of an anisotropic nonlocal interaction equation: Analysis and numerics. CoRR abs/1912.09337 (2019) - 2018
- [j22]Martin Burger, Hendrik Dirks, Carola-Bibiane Schönlieb:
A Variational Model for Joint Motion Estimation and Image Reconstruction. SIAM J. Imaging Sci. 11(1): 94-128 (2018) - [j21]Torbjørn Ringholm, Jasmina Lazic, Carola-Bibiane Schönlieb:
Variational Image Regularization with Euler's Elastica Using a Discrete Gradient Scheme. SIAM J. Imaging Sci. 11(4): 2665-2691 (2018) - [j20]Antonin Chambolle, Matthias J. Ehrhardt, Peter Richtárik, Carola-Bibiane Schönlieb:
Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications. SIAM J. Optim. 28(4): 2783-2808 (2018) - [c14]Jingwei Liang, Carola-Bibiane Schönlieb:
Faster FISTA. EUSIPCO 2018: 1-9 - [c13]Georg Maierhofer, Daniel Heydecker, Angelica I. Avilés-Rivero, Samar M. Alsaleh, Carola-Bibiane Schönlieb:
Peekaboo-Where are the Objects? Structure Adjusting Superpixels. ICIP 2018: 3693-3697 - [c12]Clarice Poon, Jingwei Liang, Carola-Bibiane Schoenlieb:
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration. ICML 2018: 4121-4129 - [c11]Sebastian Lunz, Carola Schönlieb, Ozan Öktem:
Adversarial Regularizers in Inverse Problems. NeurIPS 2018: 8516-8525 - [i23]Georg Maierhofer, Daniel Heydecker, Angelica I. Avilés-Rivero, Samar M. Alsaleh, Carola-Bibiane Schönlieb:
Peekaboo - Where are the Objects? Structure Adjusting Superpixels. CoRR abs/1802.02796 (2018) - [i22]Luca Calatroni, Marie d'Autume, Rob Hocking, Stella Panayotova, Simone Parisotto, Paola Ricciardi, Carola-Bibiane Schönlieb:
Unveiling the invisible - mathematical methods for restoring and interpreting illuminated manuscripts. CoRR abs/1803.07187 (2018) - [i21]Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb:
Adversarial Regularizers in Inverse Problems. CoRR abs/1805.11572 (2018) - [i20]Daniel Heydecker, Georg Maierhofer, Angelica I. Avilés-Rivero, Qingnan Fan, Carola-Bibiane Schönlieb, Sabine Süsstrunk:
Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal. CoRR abs/1805.11589 (2018) - [i19]Xiaohao Cai, Raymond H. Chan, Carola-Bibiane Schönlieb, Gabriele Steidl, Tieyong Zeng:
Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation. CoRR abs/1807.10194 (2018) - [i18]Veronica Corona, Jan Lellmann, Peter J. Nestor, Carola-Bibiane Schoenlieb, Julio Acosta-Cabronero:
A multi-contrast MRI approach to thalamus segmentation. CoRR abs/1807.10757 (2018) - [i17]Matthias J. Ehrhardt, Pawel Markiewicz, Carola-Bibiane Schönlieb:
Faster PET Reconstruction with Non-Smooth Priors by Randomization and Preconditioning. CoRR abs/1808.07150 (2018) - [i16]Jonas Adler, Sebastian Lunz, Olivier Verdier, Carola-Bibiane Schönlieb, Ozan Öktem:
Task adapted reconstruction for inverse problems. CoRR abs/1809.00948 (2018) - [i15]Angelica I. Avilés-Rivero, Guy B. Williams, Martin J. Graves, Carola-Bibiane Schoenlieb:
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction. CoRR abs/1810.10828 (2018) - 2017
- [j19]Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen:
Bilevel Parameter Learning for Higher-Order Total Variation Regularisation Models. J. Math. Imaging Vis. 57(1): 1-25 (2017) - [j18]Luca Calatroni, Yves van Gennip, Carola-Bibiane Schönlieb, Hannah M. Rowland, Arjuna Flenner:
Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images. J. Math. Imaging Vis. 57(2): 269-291 (2017) - [j17]Luca Calatroni, Juan Carlos de los Reyes, Carola-Bibiane Schönlieb:
Infimal Convolution of Data Discrepancies for Mixed Noise Removal. SIAM J. Imaging Sci. 10(3): 1196-1233 (2017) - [j16]L. Robert Hocking, Russell MacKenzie, Carola-Bibiane Schönlieb:
Guidefill: GPU Accelerated, Artist Guided Geometric Inpainting for 3D Conversion of Film. SIAM J. Imaging Sci. 10(4): 2049-2090 (2017) - [j15]Ping Zhong, Zhiqiang Gong, Shutao Li, Carola-Bibiane Schönlieb:
Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(6): 3516-3530 (2017) - [c10]Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb:
Nonlinear Spectral Image Fusion. SSVM 2017: 41-53 - [c9]Martin Benning, Guy Gilboa, Joana Sarah Grah, Carola-Bibiane Schönlieb:
Learning Filter Functions in Regularisers by Minimising Quotients. SSVM 2017: 511-523 - [i14]Juheon Lee, David Coomes, Carola-Bibiane Schönlieb, Xiaohao Cai, Jan Lellmann, Michele Dalponte, Yadvinder Malhi, Nathalie Butt, Mike Morecroft:
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery. CoRR abs/1701.06715 (2017) - [i13]Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb:
Nonlinear Spectral Image Fusion. CoRR abs/1703.08001 (2017) - [i12]Antonin Chambolle, Matthias J. Ehrhardt, Peter Richtárik, Carola-Bibiane Schönlieb:
Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications. CoRR abs/1706.04957 (2017) - [i11]L. Robert Hocking, Thomas Holding, Carola-Bibiane Schönlieb:
Numerical analysis of shell-based geometric image inpainting algorithms and their semi-implicit extension. CoRR abs/1707.09713 (2017) - [i10]Leon Bungert, David A. Coomes, Matthias J. Ehrhardt, Jennifer Rasch, Rafael Reisenhofer, Carola-Bibiane Schönlieb:
Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation. CoRR abs/1710.05705 (2017) - 2016
- [b1]Carola-Bibiane Schönlieb:
Partial Differential Equation Methods for Image Inpainting. Cambridge monographs on applied and computational mathematics 29, Cambridge University Press 2016, ISBN 978-1-10-700100-8, pp. 1-254 - [j14]Martin Burger, Konstantinos Papafitsoros, Evangelos Papoutsellis, Carola-Bibiane Schönlieb:
Infimal Convolution Regularisation Functionals of BV and Lp Spaces - Part I: The Finite p Case. J. Math. Imaging Vis. 55(3): 343-369 (2016) - [j13]Juheon Lee, Xiaohao Cai, Jan Lellmann, Michele Dalponte, Yadvinder Malhi, Nathalie Butt, Mike Morecroft, Carola-Bibiane Schönlieb, David A. Coomes:
Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(6): 2554-2567 (2016) - [c8]Ping Zhong, Zhiqiang Gong, Carola-Bibiane Schönlieb:
A DBN-crf for spectral-spatial classification of hyperspectral data. ICPR 2016: 1219-1224 - [i9]Luca Calatroni, Yves van Gennip, Carola-Bibiane Schönlieb, Hannah M. Rowland, Arjuna Flenner:
Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images. CoRR abs/1602.08574 (2016) - [i8]Martin Burger, Hendrik Dirks, Carola-Bibiane Schönlieb:
A Variational Model for Joint Motion Estimation and Image Reconstruction. CoRR abs/1607.03255 (2016) - [i7]L. Robert Hocking, Russell MacKenzie, Carola-Bibiane Schönlieb:
Guidefill: GPU Accelerated, Artist Guided Geometric Inpainting for 3D Conversion. CoRR abs/1611.05319 (2016) - 2015
- [j12]Jan Lellmann, Konstantinos Papafitsoros, Carola Schönlieb, Daniel Spector:
Analysis and Application of a Nonlocal Hessian. SIAM J. Imaging Sci. 8(4): 2161-2202 (2015) - [j11]Juheon Lee, Xiaohao Cai, Carola-Bibiane Schönlieb, David Coomes:
Nonparametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Wooded Landscapes. IEEE Trans. Geosci. Remote. Sens. 53(11): 6073-6084 (2015) - [j10]Michael Möller, Martin Benning, Carola Schönlieb, Daniel Cremers:
Variational Depth From Focus Reconstruction. IEEE Trans. Image Process. 24(12): 5369-5378 (2015) - [c7]Martin Benning, Florian Knoll, Carola-Bibiane Schönlieb, Tuomo Valkonen:
Preconditioned ADMM with Nonlinear Operator Constraint. System Modelling and Optimization 2015: 117-126 - [c6]Martin Burger, Konstantinos Papafitsoros, Evangelos Papoutsellis, Carola-Bibiane Schönlieb:
Infimal Convolution Regularisation Functionals of BV and Lp Spaces. The Case p=∞. System Modelling and Optimization 2015: 169-179 - [c5]Juheon Lee, Xiaohao Cai, Carola-Bibiane Schönlieb, David Coomes:
Mapping individual trees from airborne multi-sensor imagery. IGARSS 2015: 5411-5414 - [i6]Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen:
The structure of optimal parameters for image restoration problems. CoRR abs/1505.01953 (2015) - [i5]Luca Calatroni, Cao Chung, Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen:
Bilevel approaches for learning of variational imaging models. CoRR abs/1505.02120 (2015) - [i4]Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen:
Bilevel parameter learning for higher-order total variation regularisation models. CoRR abs/1508.07243 (2015) - 2014
- [j9]Konstantinos Papafitsoros, Carola-Bibiane Schönlieb:
A Combined First and Second Order Variational Approach for Image Reconstruction. J. Math. Imaging Vis. 48(2): 308-338 (2014) - [j8]Jan Lellmann, Dirk A. Lorenz, Carola-Bibiane Schönlieb, Tuomo Valkonen:
Imaging with Kantorovich-Rubinstein Discrepancy. SIAM J. Imaging Sci. 7(4): 2833-2859 (2014) - [i3]Jan Lellmann, Dirk A. Lorenz, Carola Schönlieb, Tuomo Valkonen:
Imaging with Kantorovich-Rubinstein discrepancy. CoRR abs/1407.0221 (2014) - [i2]Michael Möller, Martin Benning, Carola-Bibiane Schönlieb, Daniel Cremers:
Variational Depth from Focus Reconstruction. CoRR abs/1408.0173 (2014) - [i1]Juheon Lee, Xiaohao Cai, Carola-Bibiane Schönlieb, David Coomes:
Non-parametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Forests. CoRR abs/1410.0226 (2014) - 2013
- [j7]Konstantinos Papafitsoros, Carola-Bibiane Schönlieb, Bati Sengul:
Combined First and Second Order Total Variation Inpainting using Split Bregman. Image Process. Line 3: 112-136 (2013) - [j6]Andreas Langer, Stanley J. Osher, Carola-Bibiane Schönlieb:
Bregmanized Domain Decomposition for Image Restoration. J. Sci. Comput. 54(2-3): 549-576 (2013) - [c4]Martin Benning, Luca Calatroni, Bertram Düring, Carola-Bibiane Schönlieb:
A Primal-Dual Approach for a Total Variation Wasserstein Flow. GSI 2013: 413-421 - [c3]Luca Calatroni, Juan Carlos de los Reyes, Carola-Bibiane Schönlieb:
Dynamic Sampling Schemes for Optimal Noise Learning Under Multiple Nonsmooth Constraints. System Modelling and Optimization 2013: 85-95 - [c2]Jan Lellmann, Jean-Michel Morel, Carola-Bibiane Schönlieb:
Anisotropic Third-Order Regularization for Sparse Digital Elevation Models. SSVM 2013: 161-173 - 2012
- [j5]Carsten Gottschlich, Carola-Bibiane Schönlieb:
Oriented diffusion filtering for enhancing low-quality fingerprint images. IET Biom. 1(2): 105-113 (2012) - [j4]Massimo Fornasier, Yunho Kim, Andreas Langer, Carola-Bibiane Schönlieb:
Wavelet Decomposition Method for L2//TV-Image Deblurring. SIAM J. Imaging Sci. 5(3): 857-885 (2012) - 2010
- [j3]Massimo Fornasier, Andreas Langer, Carola-Bibiane Schönlieb:
A convergent overlapping domain decomposition method for total variation minimization. Numerische Mathematik 116(4): 645-685 (2010)
2000 – 2009
- 2009
- [j2]Martin Burger, Lin He, Carola-Bibiane Schönlieb:
Cahn--Hilliard Inpainting and a Generalization for Grayvalue Images. SIAM J. Imaging Sci. 2(4): 1129-1167 (2009) - [j1]Massimo Fornasier, Carola-Bibiane Schönlieb:
Subspace Correction Methods for Total Variation and 1-Minimization. SIAM J. Numer. Anal. 47(5): 3397-3428 (2009) - 2004
- [c1]Carola Schönlieb, Kung Chieh Wang:
Line Segmentation and Analysis with Special Interest to the Duct of a Line. ICVGIP 2004: 550-555
Coauthor Index
[j94] [j81] [j80] [j79] [j77] [c59] [c56] [c55] [i184] [i183] [i182] [i176] [i172] [i171] [i166] [i165] [i159] [c53] [c50] [c47] [c45] [c43] [i157] [i155] [i152] [i150] [i148] [i147] [i146] [i142] [i136] [i131] [i129] [i128] [i127] [j60] [j58] [j53] [j50] [c36] [c35] [c34] [c33] [e1] [i120] [i117] [i114] [i104] [i100] [i99] [i98] [j47] [j46] [j45] [j44] [j41] [i95] [i82] [i81] [j30] [c26] [i68] [i67] [i66] [i50] [i48] [i46] [i45] [i44] [j23] [c23] [c21] [c19] [c17] [i43] [i41] [i37] [i33] [i31] [i28] [i26] [i25] [c13] [i23] [i20] [i15]
David Coomes
aka: David A. Coomes
aka: David A. Coomes
Matthias J. Ehrhardt
aka: Matthias Joachim Ehrhardt
aka: Matthias Joachim Ehrhardt
Pietro Liò
aka: Pietro Lió
aka: Pietro Lió
Stephen J. Price
aka: Stephen John Price
aka: Stephen John Price
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