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ORCIDAggelos K. Katsaggelos
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- affiliation: Northwestern University, Illinois, USA
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2020 – today
- 2024
[j250]Santiago López-Tapia, Xijun Wang
, Aggelos K. Katsaggelos:
Video Variational Deep Atmospheric Turbulence Correction. IEEE Access 12: 127368-127379 (2024)- [j249]Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos:
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. Artif. Intell. 331: 104115 (2024) - [j248]Georgios Petmezas, Vasileios E. Papageorgiou, Vassilios Vassilikos, Efstathios Pagourelias, George Tsaklidis, Aggelos K. Katsaggelos, Nicos Maglaveras:
Recent advancements and applications of deep learning in heart failure: Α systematic review. Comput. Biol. Medicine 176: 108557 (2024) - [j247]Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Christopher Felicelli, Jeffery Goldstein, Brian Vadasz, Rafael Molina, Aggelos K. Katsaggelos:
Learning from crowds for automated histopathological image segmentation. Comput. Medical Imaging Graph. 112: 102327 (2024) - [j246]Shuowen Yang, Fernando Pérez-Bueno, Francisco M. Castro-Macías, Rafael Molina, Aggelos K. Katsaggelos:
BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolution. Digit. Signal Process. 145: 104318 (2024) - [j245]Yunan Wu, Bruno Miguel Machado Rocha, Evangelos Kaimakamis, Grigorios-Aris Cheimariotis, Georgios Petmezas, Evangelos Chatzis, Vassilis Kilintzis, Leandros Stefanopoulos, Diogo Pessoa, Alda Marques, Paulo Carvalho, Rui Pedro Paiva, Serafeim Kotoulas, Militsa Bitzani, Aggelos K. Katsaggelos, Nicos Maglaveras:
A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters. Expert Syst. Appl. 235: 121089 (2024) - [j244]Jose Pérez-Cano, Yunan Wu, Arne Schmidt, Miguel López-Pérez, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos:
An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection. Expert Syst. Appl. 240: 122296 (2024) - [j243]Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Rafael Molina, Aggelos K. Katsaggelos:
Focused active learning for histopathological image classification. Medical Image Anal. 95: 103162 (2024) - [j242]Srutarshi Banerjee, Miesher Rodrigues, Manuel Ballester, Alexander Hans Vija, Aggelos K. Katsaggelos:
Identifying Defects without a priori Knowledge in a Room-Temperature Semiconductor Detector Using Physics Inspired Machine Learning Model. Sensors 24(1): 92 (2024) - [j241]Zixiao Yu, Xinyi Wu, Haohong Wang, Aggelos K. Katsaggelos, Jian Ren:
Automated Adaptive Cinematography for User Interaction in Open World. IEEE Trans. Multim. 26: 6178-6190 (2024) - [j240]Srutarshi Banerjee, Henry H. Chopp, Jianping Zhang, Zihao W. Wang, Peng Kang, Oliver Cossairt, Aggelos K. Katsaggelos:
A Joint Intensity-Neuromorphic Event Imaging System With Bandwidth-Limited Communication Channel. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7216-7230 (2024) - [c408]Xijun Wang, Adam Szymanski, Yuki Hamada, Aggelos K. Katsaggelos:
Avian Activity Classification Using Recurrent Networks to Fuse Videos with Metadata on Imbalanced Datasets. ICCAI 2024: 260-265 - [c407]Francisco M. Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant Prior. ISBI 2024: 1-5 - [c406]Ugur Demir, Debesh Jha, Zheyuan Zhang, Elif Keles, Bradley D. Allen, Aggelos K. Katsaggelos, Ulas Bagci:
Explainable Transformer Prototypes for Medical Diagnoses. ISBI 2024: 1-5 - [c405]Hui Lin, Charilaos Apostolidis, Aggelos K. Katsaggelos:
Brighteye: Glaucoma Screening with Color Fundus Photographs Based on Vision Transformer. ISBI 2024: 1-4 - [i58]Xijun Wang, Santiago López-Tapia, Aggelos K. Katsaggelos:
Real-World Atmospheric Turbulence Correction via Domain Adaptation. CoRR abs/2402.07371 (2024) - [i57]Ugur Demir, Debesh Jha, Zheyuan Zhang, Elif Keles, Bradley D. Allen, Aggelos K. Katsaggelos, Ulas Bagci:
Explainable Transformer Prototypes for Medical Diagnoses. CoRR abs/2403.06961 (2024) - [i56]Xijun Wang, Santiago López-Tapia, Alice Lucas, Xinyi Wu, Rafael Molina, Aggelos K. Katsaggelos:
A General Method to Incorporate Spatial Information into Loss Functions for GAN-based Super-resolution Models. CoRR abs/2403.10589 (2024) - [i55]Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos:
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. CoRR abs/2403.14829 (2024) - [i54]Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Aggelos K. Katsaggelos, Rafael Molina:
Focused Active Learning for Histopathological Image Classification. CoRR abs/2404.04663 (2024) - [i53]Yi Li, Yunan Wu, Aggelos K. Katsaggelos:
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches. CoRR abs/2404.15552 (2024) - [i52]Hui Lin, Charilaos Apostolidis, Aggelos K. Katsaggelos:
Brighteye: Glaucoma Screening with Color Fundus Photographs based on Vision Transformer. CoRR abs/2405.00857 (2024) - [i51]Zhihao Huang, Santiago Lopez Tapia, Aggelos K. Katsaggelos:
VDPI: Video Deblurring with Pseudo-inverse Modeling. CoRR abs/2409.00777 (2024) - 2023
- [j239]Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos:
Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification. IEEE Access 11: 6922-6934 (2023) - [j238]Santiago López-Tapia, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Learning Moore-Penrose based residuals for robust non-blind image deconvolution. Digit. Signal Process. 142: 104193 (2023) - [j237]Zixiao Yu, Haohong Wang, Aggelos K. Katsaggelos, Jian Ren:
A Novel Automatic Content Generation and Optimization Framework. IEEE Internet Things J. 10(14): 12338-12351 (2023) - [j236]Pablo Ruiz, Pablo Morales-Álvarez, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos:
Probabilistic fusion of crowds and experts for the search of gravitational waves. Knowl. Based Syst. 261: 110183 (2023) - [j235]Sidi Lu, Xin Yuan, Aggelos K. Katsaggelos, Weisong Shi:
Reinforcement Learning for Adaptive Video Compressive Sensing. ACM Trans. Intell. Syst. Technol. 14(5): 81:1-81:21 (2023) - [c404]Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos:
Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students. AIME 2023: 245-249 - [c403]Soroush Shahi, Sougata Sen, Mahdi Pedram, Rawan Alharbi, Yang Gao, Aggelos K. Katsaggelos, Josiah D. Hester, Nabil Alshurafa:
Detecting Eating and Social Presence with All Day Wearable RGB-T. CHASE 2023: 68-79 - [c402]Aniket Dashpute, Vishwanath Saragadam, Emma Alexander, Florian Willomitzer, Aggelos K. Katsaggelos, Ashok Veeraraghavan, Oliver Cossairt:
Thermal Spread Functions (TSF): Physics-Guided Material Classification. CVPR 2023: 1641-1650 - [c401]Jennifer J. Sun, Lili Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John C. Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona:
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CVPR 2023: 9001-9010 - [c400]Hui Lin, Santiago Lopez Tapia, Florian Schiffers, Yunan Wu, Huili Yang, Nikolay Iakovlev, Bradley D. Allen, Ryan Avery, Daniel C. Lee, Daniel Kim, Aggelos K. Katsaggelos:
Usformer: A Light Neural Network for Left Atrium Segmentation of 3D LGE MRI. EUSIPCO 2023: 995-999 - [c399]Shuowen Yang, Fernando Pérez-Bueno, Francisco M. Castro-Macías, Rafael Molina, Aggelos K. Katsaggelos:
Deep Bayesian Blind Color Deconvolution of Histological Images. ICIP 2023: 710-714 - [c398]Santiago López-Tapia, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Deep Robust Image Restoration Using the Moore-Penrose Blur Inverse. ICIP 2023: 775-779 - [c397]Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt:
Spiking GLOM: Bio-Inspired Architecture for Next-Generation Object Recognition. ICIP 2023: 950-954 - [c396]Santiago López-Tapia, Xijun Wang, Aggelos K. Katsaggelos:
Variational Deep Atmospheric Turbulence Correction for Video. ICIP 2023: 3568-3572 - [c395]Shamal Lalvani, Aggelos K. Katsaggelos:
Control of a Water Tank System with Value Function Approximation. AIAI (1) 2023: 36-44 - [c394]Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos:
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. MICCAI (5) 2023: 327-337 - [c393]Jiaqi Guo, Emanuel A. Azcona, Santiago Lopez Tapia, Aggelos K. Katsaggelos:
Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes. MIDL 2023: 888-904 - [c392]Xijun Wang, Santiago López-Tapia, Aggelos K. Katsaggelos:
Atmospheric Turbulence Correction via Variational Deep Diffusion. MIPR 2023: 1-4 - [c391]Zixiao Yu, Xinyi Wu, Haohong Wang, Aggelos K. Katsaggelos, Jian Ren:
Adaptive Auto-Cinematography in Open Worlds. MIPR 2023: 1-6 - [i50]Yunan Wu, Amil Dravid, Ramsey Michael Wehbe, Aggelos K. Katsaggelos:
DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels. CoRR abs/2301.08798 (2023) - [i49]Xinyi Wu, Haohong Wang, Aggelos K. Katsaggelos:
The secret of immersion: actor driven camera movement generation for auto-cinematography. CoRR abs/2303.17041 (2023) - [i48]Aniket Dashpute, Vishwanath Saragadam, Emma Alexander, Florian Willomitzer, Aggelos K. Katsaggelos, Ashok Veeraraghavan, Oliver Cossairt:
Thermal Spread Functions (TSF): Physics-guided Material Classification. CoRR abs/2304.00696 (2023) - [i47]Xijun Wang, Aggelos K. Katsaggelos:
Video-Specific Query-Key Attention Modeling for Weakly-Supervised Temporal Action Localization. CoRR abs/2305.04186 (2023) - [i46]Xijun Wang, Santiago López-Tapia, Aggelos K. Katsaggelos:
Atmospheric Turbulence Correction via Variational Deep Diffusion. CoRR abs/2305.05077 (2023) - [i45]Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos:
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. CoRR abs/2307.09457 (2023) - [i44]Hui Lin, Tom Liu, Aggelos K. Katsaggelos, Adrienne S. Kline:
StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography. CoRR abs/2310.14961 (2023) - [i43]Tom Liu, Hui Lin, Aggelos K. Katsaggelos, Adrienne S. Kline:
YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation. CoRR abs/2310.15898 (2023) - [i42]Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt:
Event-based Shape from Polarization with Spiking Neural Networks. CoRR abs/2312.16071 (2023) - 2022
- [j234]Fernando Pérez-Bueno, Juan G. Serra, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification. Comput. Medical Imaging Graph. 97: 102048 (2022) - [j233]Miguel López-Pérez, Arne Schmidt, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos:
Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection. Comput. Methods Programs Biomed. 219: 106783 (2022) - [j232]Rawan Alharbi, Soroush Shahi, Stefany Cruz, Lingfeng Li, Sougata Sen, Mahdi Pedram, Christopher Romano, Josiah D. Hester, Aggelos K. Katsaggelos, Nabil Alshurafa:
SmokeMon: Unobtrusive Extraction of Smoking Topography Using Wearable Energy-Efficient Thermal. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 155:1-155:25 (2022) - [j231]Xin Yuan, David J. Brady, Jinli Suo, Henry Arguello, Miguel Rodrigues, Aggelos K. Katsaggelos:
Editorial: Introduction to the Special Issue on Deep Learning for High-Dimensional Sensing. IEEE J. Sel. Top. Signal Process. 16(4): 603-607 (2022) - [j230]Pablo Morales-Álvarez, Pablo Ruiz, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos:
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1534-1551 (2022) - [j229]Peiqi Duan, Zihao W. Wang, Boxin Shi, Oliver Cossairt, Tie-Jun Huang, Aggelos K. Katsaggelos:
Guided Event Filtering: Synergy Between Intensity Images and Neuromorphic Events for High Performance Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8261-8275 (2022) - [j228]Georgios Petmezas, Grigorios-Aris Cheimariotis, Leandros Stefanopoulos, Bruno Miguel Machado Rocha, Rui Pedro Paiva, Aggelos K. Katsaggelos, Nicos Maglaveras:
Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function. Sensors 22(3): 1232 (2022) - [j227]Hasan Asy'ari Arief, Peter James Thomas, Kevin Constable, Aggelos K. Katsaggelos:
Towards Building a Distributed Virtual Flow Meter via Compressed Continual Learning. Sensors 22(24): 9878 (2022) - [j226]Qiqin Dai, Fengqiang Li, Oliver Cossairt, Aggelos K. Katsaggelos:
Adaptive Illumination Based Depth Sensing Using Deep Superpixel and Soft Sampling Approximation. IEEE Trans. Computational Imaging 8: 224-235 (2022) - [c390]Amil Dravid, Aggelos K. Katsaggelos:
Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract). AAAI 2022: 12939-12940 - [c389]Amil Dravid, Florian Schiffers, Boqing Gong, Aggelos K. Katsaggelos:
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space. CVPR Workshops 2022: 2935-2944 - [c388]Yi Li, Yunan Wu, Aggelos K. Katsaggelos:
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches. CVPR Workshops 2022: 6837-6846 - [c387]Amil Dravid, Florian Schiffers, Yunan Wu, Oliver Cossairt, Aggelos K. Katsaggelos:
Investigating the Potential of Auxiliary-Classifier Gans for Image Classification in Low Data Regimes. ICASSP 2022: 3318-3322 - [c386]Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt:
Event - Driven Tactile Learning with Location Spiking Neurons. IJCNN 2022: 1-9 - [c385]Yunan Wu, Pierre Besson, Emanuel A. Azcona, S. Kathleen Bandt, Todd B. Parrish, Aggelos K. Katsaggelos:
Reconstruction of Resting State FMRI Using LSTM Variational Auto-Encoder on Subcortical Surface to Detect Epilepsy. ISBI 2022: 1-5 - [c384]Soroush Shahi, Rawan Alharbi, Yang Gao, Sougata Sen, Aggelos K. Katsaggelos, Josiah D. Hester, Nabil Alshurafa:
Impacts of Image Obfuscation on Fine-grained Activity Recognition in Egocentric Video. PerCom Workshops 2022: 341-346 - [c383]Amit Adate, Soroush Shahi, Rawan Alharbi, Sougata Sen, Yang Gao, Aggelos K. Katsaggelos, Nabil Alshurafa:
Detecting Screen Presence with Activity-Oriented RGB Camera in Egocentric Videos. PerCom Workshops 2022: 403-408 - [i41]Amil Dravid, Florian Schiffers, Yunan Wu, Oliver Cossairt, Aggelos K. Katsaggelos:
Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes. CoRR abs/2201.09120 (2022) - [i40]Emanuel A. Azcona, Byoung-Woo Kim, Nicole L. Vike, Sumra Bari, Shamal Lalvani, Leandros Stefanopoulos, Sean Woodward, Martin Block, Aggelos K. Katsaggelos, Hans C. Breiter:
Discrete, recurrent, and scalable patterns in human judgement underlie affective picture ratings. CoRR abs/2203.06448 (2022) - [i39]Amil Dravid, Florian Schiffers, Boqing Gong, Aggelos K. Katsaggelos:
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space. CoRR abs/2204.05376 (2022) - [i38]Semih Barutcu, Doga Gürsoy, Aggelos K. Katsaggelos:
Compressive Ptychography using Deep Image and Generative Priors. CoRR abs/2205.02397 (2022) - [i37]Henry Chopp, Alicia McGeachy, Matthias Alfeld, Oliver Cossairt, Marc Walton, Aggelos K. Katsaggelos:
Denoising Fast X-Ray Fluorescence Raster Scans of Paintings. CoRR abs/2206.01740 (2022) - [i36]Bingjie Xu, Yunan Wu, Pengxiao Hao, Marc Vermeulen, Alicia McGeachy, Kate Smith, Katherine Eremin, Georgina Rayner, Giovanni Verri, Florian Willomitzer, Matthias Alfeld, Jack Tumblin, Aggelos K. Katsaggelos, Marc Walton:
Can Deep Learning Assist Automatic Identification of Layered Pigments From XRF Data? CoRR abs/2207.12651 (2022) - [i35]Semih Barutcu, Aggelos K. Katsaggelos, Doga Gürsoy:
A Deep Generative Approach to Oversampling in Ptychography. CoRR abs/2207.14392 (2022) - [i34]Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt:
Event-Driven Tactile Learning with Location Spiking Neurons. CoRR abs/2209.01080 (2022) - [i33]Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt:
Event-Driven Tactile Learning with Various Location Spiking Neurons. CoRR abs/2210.04277 (2022) - [i32]Jennifer J. Sun, Pierre Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John C. Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona:
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CoRR abs/2212.07401 (2022) - 2021
- [j225]Santiago López-Tapia, Pablo Ruiz, Mitchell Smith, Jeffrey Matthews, Bradley Zercher, Liliana Sydorenko, Neelanshi Varia, Yuanzhe Jin, Minzi Wang, Jennifer B. Dunn, Aggelos K. Katsaggelos:
Machine learning with high-resolution aerial imagery and data fusion to improve and automate the detection of wetlands. Int. J. Appl. Earth Obs. Geoinformation 105: 102581 (2021) - [j224]Georgios Petmezas, Kostas Haris, Leandros Stefanopoulos, Vassilis Kilintzis, Andreas Tzavelis, John A. Rogers, Aggelos K. Katsaggelos, Nicos Maglaveras:
Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets. Biomed. Signal Process. Control. 63: 102194 (2021) - [j223]Pierre Besson, Todd B. Parrish, Aggelos K. Katsaggelos, S. Kathleen Bandt:
Geometric deep learning on brain shape predicts sex and age. Comput. Medical Imaging Graph. 91: 101939 (2021) - [j222]Fernando Pérez-Bueno, Miguel Vega, María Á. Sales, José Aneiros-Fernández, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos:
Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference. Comput. Methods Programs Biomed. 211: 106453 (2021) - [j221]Santiago López-Tapia, Rafael Molina, Aggelos K. Katsaggelos:
Deep learning approaches to inverse problems in imaging: Past, present and future. Digit. Signal Process. 119: 103285 (2021) - [j220]Xin Yuan, David J. Brady, Aggelos K. Katsaggelos:
Snapshot Compressive Imaging: Theory, Algorithms, and Applications. IEEE Signal Process. Mag. 38(2): 65-88 (2021) - [c382]Merlin A. Nau, Florian Schiffers, Yunhao Li, Bingjie Xu, Andreas K. Maier, Jack Tumblin, Marc Walton, Aggelos K. Katsaggelos, Florian Willomitzer, Oliver Cossairt:
Skinscan: 3D Dermatologic Diagnosis and Documentation with Commodity Devices. ACSCC 2021: 873-875 - [c381]Peng Kang, Hao Hu, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt:
Human Vision-Like Robust Object Recognition. ICIP 2021: 709-713 - [c380]Srutarshi Banerjee, Zihao W. Wang, Henry H. Chopp, Oliver Cossairt, Aggelos K. Katsaggelos:
Lossy Event Compression Based On Image-Derived Quad Trees And Poisson Disk Sampling. ICIP 2021: 2154-2158 - [c379]Merlin A. Nau, Florian Schiffers, Yunhao Li, Bingjie Xu, Andreas K. Maier, Jack Tumblin, Marc Walton, Aggelos K. Katsaggelos, Florian Willomitzer, Oliver Cossairt:
Skinscan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation. ICIP 2021: 2918-2922 - [c378]Prasan A. Shedligeri, Florian Schiffers, Semih Barutcu, Pablo Ruiz, Aggelos K. Katsaggelos, Oliver Cossairt:
Improving Acquisition Speed of X-Ray Ptychography Through Spatial Undersampling and Regularization. ICIP 2021: 2968-2972 - [c377]Lionel Fiske, Aggelos K. Katsaggelos, Maurice C. G. Aalders, Matthias Alfeld, Marc Walton, Oliver Cossairt:
A Data Fusion Method For The Delayering Of X-Ray Fluorescence Images Of Painted Works Of Art. ICIP 2021: 3458-3462 - [c376]Yunan Wu, Arne Schmidt, Enrique Hernández-Sánchez, Rafael Molina, Aggelos K. Katsaggelos:
Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection. MICCAI (2) 2021: 582-591 - [i31]Merlin A. Nau, Florian Schiffers, Yunhao Li, Bingjie Xu, Andreas Maier, Jack Tumblin, Marc Walton, Aggelos K. Katsaggelos, Florian Willomitzer, Oliver Cossairt:
SkinScan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation. CoRR abs/2102.00508 (2021) - [i30]Xin Yuan, David J. Brady, Aggelos K. Katsaggelos:
Snapshot Compressive Imaging: Principle, Implementation, Theory, Algorithms and Applications. CoRR abs/2103.04421 (2021) - [i29]Qiqin Dai, Fengqiang Li, Oliver Cossairt, Aggelos K. Katsaggelos:
Adaptive Illumination based Depth Sensing using Deep Learning. CoRR abs/2103.12297 (2021) - [i28]Henry H. Chopp, Srutarshi Banerjee, Oliver Cossairt, Aggelos K. Katsaggelos:
Removing Blocking Artifacts in Video Streams Using Event Cameras. CoRR abs/2105.05973 (2021) - [i27]Sidi Lu, Xin Yuan, Aggelos K. Katsaggelos, Weisong Shi:
Reinforcement Learning for Adaptive Video Compressive Sensing. CoRR abs/2105.08205 (2021) - [i26]Amil Dravid, Aggelos K. Katsaggelos:
Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks. CoRR abs/2111.00116 (2021) - 2020
- [j219]Corey Brian Jackson, Carsten S. Østerlund, Kevin Crowston, Mahboobeh Harandi, Sarah Allen, Sara Bahaadini, Scotty Coughlin, Vicky Kalogera, Aggelos K. Katsaggelos, Shane L. Larson, Neda Rohani, Joshua R. Smith, Laura Trouille, Michael Zevin:
Teaching citizen scientists to categorize glitches using machine learning guided training. Comput. Hum. Behav. 105: 106198 (2020) - [j218]Michael Iliadis, Leonidas Spinoulas, Aggelos K. Katsaggelos:
DeepBinaryMask: Learning a binary mask for video compressive sensing. Digit. Signal Process. 96 (2020) - [j217]Fernando Pérez-Bueno, Miguel López-Pérez, Miguel Vega, Javier Mateos, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos:
A TV-based image processing framework for blind color deconvolution and classification of histological images. Digit. Signal Process. 101: 102727 (2020) - [j216]Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos:
A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models. Digit. Signal Process. 104: 102801 (2020) - [j215]Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors. Sensors 20(18): 5308 (2020) - [j214]Arun Sankisa, Arjun Punjabi, Aggelos K. Katsaggelos:
Temporal capsule networks for video motion estimation and error concealment. Signal Image Video Process. 14(7): 1369-1377 (2020) - [j213]Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos:
Variational Bayesian Blind Color Deconvolution of Histopathological Images. IEEE Trans. Image Process. 29: 2026-2036 (2020) - [j212]Kevin Crowston, Shane L. Larson, Neda Rohani, Joshua R. Smith, Laura Trouille, Michael Zevin, Carsten S. Østerlund, Tae Kyoung Lee, Corey Brian Jackson, Mahboobeh Harandi, Sarah Allen, Sara Bahaadini, Scott Coughlin, Aggelos K. Katsaggelos:
Knowledge Tracing to Model Learning in Online Citizen Science Projects. IEEE Trans. Learn. Technol. 13(1): 123-134 (2020) - [j211]Qiqin Dai, Henry Chopp, Emeline Pouyet, Oliver Cossairt, Marc Walton, Aggelos K. Katsaggelos:
Adaptive Image Sampling Using Deep Learning and Its Application on X-Ray Fluorescence Image Reconstruction. IEEE Trans. Multim. 22(10): 2564-2578 (2020) - [c375]Florian Schiffers, Lionel Fiske, Pablo Ruiz, Aggelos K. Katsaggelos, Oliver Cossairt:
Imaging through Scattering Media with a Learning Based Prior. Computational Imaging 2020 - [c374]Zihao W. Wang, Peiqi Duan, Oliver Cossairt, Aggelos K. Katsaggelos, Tiejun Huang, Boxin Shi:
Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging. CVPR 2020: 1606-1616 - [c373]Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos:
Gated Recurrent Networks for Video Super Resolution. EUSIPCO 2020: 700-704 - [c372]Fernando Pérez-Bueno, Miguel Vega, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos:
Fully Automatic Blind Color Deconvolution of Histological Images Using Super Gaussians. EUSIPCO 2020: 1254-1258 - [c371]