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ORCIDDorit Merhof
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- affiliation: Universität Regensburg, Germany
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2020 – today
- 2025
[j38]Till Nicke
, Raphael Schäfer, Henning Höfener, Friedrich Feuerhake, Dorit Merhof, Fabian Kiessling, Johannes Lotz:
Tissue concepts: Supervised foundation models in computational pathology. Comput. Biol. Medicine 186: 109621 (2025)- [j37]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof:
MedScale-Former: Self-guided multiscale transformer for medical image segmentation. Medical Image Anal. 103: 103554 (2025) - [c191]Boqiang Huang, Wissem Benjeddou, Nadine S. Schaadt, Johannes Lotz, Friedrich Feuerhake, Dorit Merhof:
Preservation of Image Content in Stain-to-stain Translation for Digital Pathology. Bildverarbeitung für die Medizin 2025: 119-128 - [c190]Sanaz Karimijafarbigloo, Sina Ghorbani Kolahi, Reza Azad, Ulas Bagci, Dorit Merhof:
Frequency-Domain Refinement of Vision Transformers for Robust Medical Image Segmentation Under Degradation. WACV 2025: 9176-9185 - [i68]Moein Heidari, Afshin Bozorgpour, AmirHossein Zarif-Fakharnia, Dorit Merhof, Ilker Hacihaliloglu:
Echo-E3Net: Efficient Endo-Epi Spatio-Temporal Network for Ejection Fraction Estimation. CoRR abs/2503.17543 (2025) - [i67]Pratibha Kumari, Afshin Bozorgpour, Daniel Reisenbüchler, Edgar Jost, Martina Crysandt, Christian Matek, Dorit Merhof:
Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning. CoRR abs/2503.19819 (2025) - 2024
- [j36]Reza Azad, Amirhossein Kazerouni, Moein Heidari, Ehsan Khodapanah Aghdam, Amirali Molaei, Yiwei Jia, Abin Jose, Rijo Roy, Dorit Merhof:
Advances in medical image analysis with vision Transformers: A comprehensive review. Medical Image Anal. 91: 103000 (2024) - [j35]Raphael Schäfer, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, Volkmar Schulz, Johannes Lotz, Fabian Kiessling:
Overcoming data scarcity in biomedical imaging with a foundational multi-task model. Nat. Comput. Sci. 4(7): 495-509 (2024) - [j34]Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Paul Cohen, Ehsan Adeli, Dorit Merhof:
Medical Image Segmentation Review: The Success of U-Net. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10076-10095 (2024) - [c189]Afshin Bozorgpour, Bobby Azad, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
HCA-NET: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling. ISBI 2024: 1-5 - [c188]Boqiang Huang, Jiayu Ying, Ruizhi Lyu, Nadine S. Schaadt, Barbara Mara Klinkhammer, Peter Boor, Johannes Lotz, Friedrich Feuerhake, Dorit Merhof:
Utnetpara: A Hybrid CNN-Transformer Architecture with Multi-Scale Fusion for Whole-Slide Image Segmentation. ISBI 2024: 1-5 - [c187]Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
Leveraging Unlabeled Data for 3D Medical Image Segmentation Through Self-Supervised Contrastive Learning. ISBI 2024: 1-5 - [c186]Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
Fusenet: Self-Supervised Dual-Path Network For Medical Image Segmentation. ISBI 2024: 1-5 - [c185]Pratibha Kumari, Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof:
Continual Domain Incremental Learning for Privacy-Aware Digital Pathology. MICCAI (12) 2024: 34-44 - [c184]Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof:
Self-Supervised Contrastive Learning for Consistent Few-Shot Image Representations. PRIME@MICCAI 2024: 173-184 - [c183]Yousef Sadegheih, Dorit Merhof:
Segmentation of Brain Metastases in MRI: A Two-Stage Deep Learning Approach with Modality Impact Study. PRIME@MICCAI 2024: 196-206 - [c182]Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof:
Unsupervised Latent Stain Adaptation for Computational Pathology. MICCAI (11) 2024: 755-765 - [c181]Sanaz Jarimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof:
Reducing Uncertainty in 3D Medical Image Segmentation under Limited Annotations through Contrastive Learning. MIDL 2024: 694-707 - [c180]Long Chen, Dorit Merhof:
Learning Instance-Discriminative Pixel Embeddings Using Pixel Triplets. MLMI@MICCAI (1) 2024: 290-299 - [c179]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 - [c178]Reza Azad, Leon Niggemeier, Michael Hüttemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof:
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation. WACV 2024: 1276-1286 - [c177]Amirhossein Kazerouni, Reza Azad, Alireza Hosseini, Dorit Merhof, Ulas Bagci:
INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings. WACV 2024: 1287-1296 - [i66]Moein Heidari, Reza Azad, Sina Ghorbani Kolahi, René Arimond, Leon Niggemeier, Alaa Sulaiman, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Ilker Hacihaliloglu, Dorit Merhof:
Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights. CoRR abs/2403.19882 (2024) - [i65]Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof:
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image Segmentation. CoRR abs/2404.05102 (2024) - [i64]Moein Heidari, Sina Ghorbani Kolahi, Sanaz Karimijafarbigloo, Bobby Azad, Afshin Bozorgpour, Soheila Hatami, Reza Azad, Ali Diba, Ulas Bagci, Dorit Merhof, Ilker Hacihaliloglu:
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis. CoRR abs/2406.03430 (2024) - [i63]Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof:
Unsupervised Latent Stain Adaption for Digital Pathology. CoRR abs/2406.19081 (2024) - [i62]Dennis Hein, Afshin Bozorgpour, Dorit Merhof, Ge Wang:
Physics-Inspired Generative Models in Medical Imaging: A Review. CoRR abs/2407.10856 (2024) - [i61]Sina Ghorbani Kolahi, Seyed Kamal Chaharsooghi, Toktam Khatibi, Afshin Bozorgpour, Reza Azad, Moein Heidari, Ilker Hacihaliloglu, Dorit Merhof:
MSA2Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation. CoRR abs/2407.21640 (2024) - [i60]Till Nicke, Raphael Schäfer, Henning Höfener, Friedrich Feuerhake, Dorit Merhof, Fabian Kiessling, Johannes Lotz:
Tissue Concepts: supervised foundation models in computational pathology. CoRR abs/2409.03519 (2024) - [i59]Pratibha Kumari, Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof:
Continual Domain Incremental Learning for Privacy-aware Digital Pathology. CoRR abs/2409.06455 (2024) - [i58]Moein Heidari, Reza Rezaeian, Reza Azad, Dorit Merhof, Hamid Soltanian-Zadeh, Ilker Hacihaliloglu:
Single-Layer Learnable Activation for Implicit Neural Representation (SL2A-INR). CoRR abs/2409.10836 (2024) - [i57]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? CoRR abs/2411.03670 (2024) - 2023
- [j33]Anubha Gupta, Shiv Gehlot, Shubham Goswami, Sachin Motwani, Ritu Gupta, Álvaro García-Faura, Dejan Stepec, Tomaz Martincic, Reza Azad, Dorit Merhof, Afshin Bozorgpour, Babak Azad, Alaa Sulaiman, Deepanshu Pandey, Pradyumna Gupta, Sumit Bhattacharya, Aman Sinha, Rohit Agarwal, Xinyun Qiu, Yucheng Zhang, Ming Fan, Yoonbeom Park, Dae-Hong Lee, Joon Sik Park, KwangYeol Lee, Jaehyung Ye:
SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images. Medical Image Anal. 83: 102677 (2023) - [j32]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [j31]Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof:
Diffusion models in medical imaging: A comprehensive survey. Medical Image Anal. 88: 102846 (2023) - [c176]Yuli Wu, Ivan Karetic, Johannes Stegmaier, Peter Walter, Dorit Merhof:
A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation. EMBC 2023: 1-4 - [c175]Amirali Molaei, Amirhossein Aminimehr, Armin Tavakoli, Amirhossein Kazerouni, Bobby Azad, Reza Azad, Dorit Merhof:
Implicit Neural Representation in Medical Imaging: A Comparative Survey. ICCV (Workshops) 2023: 2373-2383 - [c174]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci, Dorit Merhof:
Self-supervised Semantic Segmentation: Consistency over Transformation. ICCV (Workshops) 2023: 2646-2655 - [c173]Long Chen, Yuli Wu, Johannes Stegmaier, Dorit Merhof:
SortedAP: Rethinking evaluation metrics for instance segmentation. ICCV (Workshops) 2023: 3925-3931 - [c172]Ehsan Khodapanah Aghdam, Reza Azad, Maral Zarvani, Dorit Merhof:
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation. ISBI 2023: 1-5 - [c171]Amelie Rauland, Dorit Merhof:
Using Synthetic Training Data in Neural Networks for the Estimation of Fiber Orientation Distribution Functions from Single Shell Data. ISBI 2023: 1-5 - [c170]Reza Azad, René Arimond, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Dorit Merhof:
DAE-Former: Dual Attention-Guided Efficient Transformer for Medical Image Segmentation. PRIME@MICCAI 2023: 83-95 - [c169]Afshin Bozorgpour, Yousef Sadegheih, Amirhossein Kazerouni, Reza Azad, Dorit Merhof:
DermoSegDiff: A Boundary-Aware Segmentation Diffusion Model for Skin Lesion Delineation. PRIME@MICCAI 2023: 146-158 - [c168]Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof:
Self-supervised Few-Shot Learning for Semantic Segmentation: An Annotation-Free Approach. PRIME@MICCAI 2023: 159-171 - [c167]Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof:
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. MICCAI (3) 2023: 736-746 - [c166]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof:
MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation. MIDL 2023: 680-694 - [c165]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Saeed Ebadollahi, Dorit Merhof:
MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation. MIDL 2023: 1144-1162 - [c164]Reza Azad, Amirhossein Kazerouni, Alaa Sulaiman, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Abin Jose, Dorit Merhof:
Unlocking Fine-Grained Details with Wavelet-Based High-Frequency Enhancement in Transformers. MLMI@MICCAI (1) 2023: 207-216 - [c163]Moein Heidari, Amirhossein Kazerouni, Milad Soltany Kadarvish, Reza Azad, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof:
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation. WACV 2023: 6191-6201 - [i56]Reza Azad, Amirhossein Kazerouni, Moein Heidari, Ehsan Khodapanah Aghdam, Amirali Molaei, Yiwei Jia, Abin Jose, Rijo Roy, Dorit Merhof:
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review. CoRR abs/2301.03505 (2023) - [i55]Reza Azad, Yiwei Jia, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof:
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach. CoRR abs/2301.10847 (2023) - [i54]Yuli Wu, Ivan Karetic, Johannes Stegmaier, Peter Walter, Dorit Merhof:
A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation. CoRR abs/2302.03570 (2023) - [i53]Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof:
Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach. CoRR abs/2307.14446 (2023) - [i52]Amirali Molaei, Amirhossein Aminimehr, Armin Tavakoli, Amirhossein Kazerouni, Bobby Azad, Reza Azad, Dorit Merhof:
Implicit Neural Representation in Medical Imaging: A Comparative Survey. CoRR abs/2307.16142 (2023) - [i51]Afshin Bozorgpour, Yousef Sadegheih, Amirhossein Kazerouni, Reza Azad, Dorit Merhof:
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation. CoRR abs/2308.02959 (2023) - [i50]Reza Azad, Amirhossein Kazerouni, Alaa Sulaiman, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Abin Jose, Dorit Merhof:
Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers. CoRR abs/2308.13442 (2023) - [i49]Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof:
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. CoRR abs/2309.00108 (2023) - [i48]Reza Azad, Leon Niggemeier, Michael Huttemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof:
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation. CoRR abs/2309.00121 (2023) - [i47]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci, Dorit Merhof:
Self-supervised Semantic Segmentation: Consistency over Transformation. CoRR abs/2309.00143 (2023) - [i46]Long Chen, Yuli Wu, Johannes Stegmaier, Dorit Merhof:
SortedAP: Rethinking evaluation metrics for instance segmentation. CoRR abs/2309.04887 (2023) - [i45]Long Chen, Weiwen Zhang, Yuli Wu, Martin Strauch, Dorit Merhof:
Semi-supervised Instance Segmentation with a Learned Shape Prior. CoRR abs/2309.04888 (2023) - [i44]Bobby Azad, Reza Azad, Sania Eskandari, Afshin Bozorgpour, Amirhossein Kazerouni, Islem Rekik, Dorit Merhof:
Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision. CoRR abs/2310.18689 (2023) - [i43]Amirhossein Kazerouni, Reza Azad, Alireza Hosseini, Dorit Merhof, Ulas Bagci:
INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings. CoRR abs/2310.18846 (2023) - [i42]Raphael Schäfer, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, Volkmar Schulz, Johannes Lotz, Fabian Kiessling:
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model. CoRR abs/2311.09847 (2023) - [i41]Afshin Bozorgpour, Bobby Azad, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
HCA-Net: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling. CoRR abs/2311.12486 (2023) - [i40]Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning. CoRR abs/2311.12617 (2023) - [i39]Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation. CoRR abs/2311.13069 (2023) - [i38]Reza Azad, Moein Heidari, Kadir Yilmaz, Michael Hüttemann, Sanaz Karimijafarbigloo, Yuli Wu, Anke Schmeink, Dorit Merhof:
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook. CoRR abs/2312.05391 (2023) - [i37]Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Reza Azad, Dorit Merhof:
Continual Learning in Medical Imaging Analysis: A Comprehensive Review of Recent Advancements and Future Prospects. CoRR abs/2312.17004 (2023) - 2022
- [j30]Reza Azad, Mohammad T. Al-Antary, Moein Heidari, Dorit Merhof:
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model. IEEE Access 10: 108205-108215 (2022) - [j29]Felix Duong, Michael Gadermayr, Dorit Merhof, Christiane Kuhl, Philipp Bruners, Sven H. Loosen, Christoph Roderburg, Daniel Truhn, Maximilian F. Schulze-Hagen:
Automated major psoas muscle volumetry in computed tomography using machine learning algorithms. Int. J. Comput. Assist. Radiol. Surg. 17(2): 355-361 (2022) - [j28]Oliver Rippel, Corinna Zwinge, Dorit Merhof:
Increasing the Generalization of Supervised Fabric Anomaly Detection Methods to Unseen Fabrics. Sensors 22(13): 4750 (2022) - [c162]Leon Weninger, Jarek Ecke, Chuh-Hyoun Na, Kerstin Jütten, Dorit Merhof:
Diffusion MRI Specific Pretraining by Self-supervision on an Auxiliary Dataset. Bildverarbeitung für die Medizin 2022: 147-152 - [c161]Marcin Kopaczka, Lisa Ernst, Mareike Schulz, René Tolba, Dorit Merhof:
Computation of Traveled Distance of Pigs in an Open Field with Fully Convolutional Neural Networks. Bildverarbeitung für die Medizin 2022: 229-234 - [c160]Yuli Wu, Peter Walter, Dorit Merhof:
Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography. Bildverarbeitung für die Medizin 2022: 327-332 - [c159]Long Chen, Yuli Wu, Dorit Merhof:
Instance Segmentation of Dense and Overlapping Objects via Layering. BMVC 2022: 400 - [c158]Leon Weninger, Sandro Romanzetti, Julia Ebert, Kathrin Reetz, Dorit Merhof:
Harmonization of Diffusion MRI Data Obtained with Multiple Head Coils Using Hybrid CNNs. ECCV Workshops (7) 2022: 385-396 - [c157]Long Chen, Martin Strauch, Matthias Daub, Hans-Georg Luigs, Marcus Jansen, Dorit Merhof:
Learning to Segment Fine Structures Under Image-Level Supervision With an Application to Nematode Segmentation*. EMBC 2022: 2128-2131 - [c156]Oliver Rippel, Nikolaj Schönfelder, Khosrow Rahimi, Juliana Kurniadi, Andreas Herrmann, Dorit Merhof:
Panoptic Segmentation of Animal Fibers. I2MTC 2022: 1-6 - [c155]Philipp Gräbel, Julian Thull, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Automatic Embedding Interventions for the Classification of Hematopoietic Cells. ICPR 2022: 5104-5110 - [c154]Philipp Gräbel, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Ordinal Classification and Regression Techniques for Distinguishing Neutrophilic Cell Maturity Stages in Human Bone Marrow. ICPRAI (2) 2022: 186-195 - [c153]Oliver Rippel, Arnav Chavan, Chucai Lei, Dorit Merhof:
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations. IMPROVE 2022: 45-56 - [c152]Philipp Gräbel, Julian Thull, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Analysis of automatically generated embedding guides for cell classification. IPTA 2022: 1-6 - [c151]Philipp Gräbel, Julian Thull, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Spatial Maturity Regression for the Classification of Hematopoietic Cells. IPTA 2022: 1-6 - [c150]Justus Schock, Yu-Chia Lan, Daniel Truhn, Marcin Kopaczka, Stefan Conrad, Sven Nebelung, Dorit Merhof:
Monoplanar CT Reconstruction with GANs. IPTA 2022: 1-6 - [c149]Leon Weninger, Mushawar Ahmad, Dorit Merhof:
From Supervised to Unsupervised Harmonization of Diffusion Mri Acquisitions. ISBI 2022: 1-5 - [c148]Reza Azad, Moein Heidari, Julien Cohen-Adad, Ehsan Adeli, Dorit Merhof:
Intervertebral Disc Labeling with Learning Shape Information, a Look once Approach. PRIME@MICCAI 2022: 49-59 - [c147]Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli, Dorit Merhof:
TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation. PRIME@MICCAI 2022: 91-102 - [c146]Reza Azad, Moein Heidari, Yuli Wu, Dorit Merhof:
Contextual Attention Network: Transformer Meets U-Net. MLMI@MICCAI 2022: 377-386 - [c145]Reza Azad, Nika Khosravi, Dorit Merhof:
SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities. MIDL 2022: 48-62 - [c144]Oliver Rippel, Sergen Gülçelik, Khosrow Rahimi, Juliana Kurniadi, Andreas Herrmann, Dorit Merhof:
Animal Fiber Identification under the Open Set Condition. VISIGRAPP (5: VISAPP) 2022: 36-47 - [i36]Reza Azad, Moein Heidari, Yuli Wu, Dorit Merhof:
Contextual Attention Network: Transformer Meets U-Net. CoRR abs/2203.01932 (2022) - [i35]Reza Azad, Nika Khosravi, Mohammad Dehghanmanshadi, Julien Cohen-Adad, Dorit Merhof:
Medical Image Segmentation on MRI Images with Missing Modalities: A Review. CoRR abs/2203.06217 (2022) - [i34]Reza Azad, Moein Heidari, Julien Cohen-Adad, Ehsan Adeli, Dorit Merhof:
Intervertebral Disc Labeling With Learning Shape Information, A Look Once Approach. CoRR abs/2204.02943 (2022) - [i33]Reza Azad, Nika Khosravi, Dorit Merhof:
SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities. CoRR abs/2204.02961 (2022) - [i32]Moein Heidari, Amirhossein Kazerouni, Milad Soltany Kadarvish, Reza Azad, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof:
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation. CoRR abs/2207.08518 (2022) - [i31]Reza Azad, Mohammad T. Al-Antary, Moein Heidari, Dorit Merhof:
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model. CoRR abs/2207.13415 (2022) - [i30]Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli, Dorit Merhof:
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation. CoRR abs/2208.00713 (2022) - [i29]Long Chen, Yuli Wu, Dorit Merhof:
Instance Segmentation of Dense and Overlapping Objects via Layering. CoRR abs/2210.03551 (2022) - [i28]Ehsan Khodapanah Aghdam, Reza Azad, Maral Zarvani, Dorit Merhof:
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation. CoRR abs/2210.16898 (2022) - [i27]Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof:
Diffusion Models for Medical Image Analysis: A Comprehensive Survey. CoRR abs/2211.07804 (2022) - [i26]Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Paul Cohen, Ehsan Adeli, Dorit Merhof:
Medical Image Segmentation Review: The success of U-Net. CoRR abs/2211.14830 (2022) - [i25]Reza Azad, René Arimond, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Dorit Merhof:
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation. CoRR abs/2212.13504 (2022) - 2021
- [j27]Oliver Rippel, Patrick Mertens, Eike König, Dorit Merhof:
Gaussian Anomaly Detection by Modeling the Distribution of Normal Data in Pretrained Deep Features. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [c143]Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Rotation Invariance for Unsupervised Cell Representation Learning - Analysis of The Impact of Enforcing Rotation Invariance or Equivariance on Representation for Cell Classification. Bildverarbeitung für die Medizin 2021: 42-47 - [c142]Philipp Gräbel, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Reduction of Stain Variability in Bone Marrow Microscopy Images - Influence of Augmentation and Normalization Methods on Detection and Classification of Hematopoietic Cells. Bildverarbeitung für die Medizin 2021: 141-146 - [c141]Leon Weninger, Maxim Drobjazko, Chuh-Hyoun Na, Kerstin Jütten, Dorit Merhof:
Autoencoder-based Quality Assessment for Synthetic Diffusion-MRI Data. Bildverarbeitung für die Medizin 2021: 338-343 - [c140]Leon Weninger, Andre Gilerson, Dorit Merhof:
Improving Localization of Brain Tumors through 3D GAN Inpainting. EMBC 2021: 2651-2654 - [c139]Oliver Rippel, Peter Haumering, Johannes Brauers, Dorit Merhof:
Anomaly Detection for the Automated Visual Inspection of PET Preform Closures. ETFA 2021: 1-7 - [c138]Oliver Rippel, Dorit Merhof:
Leveraging pre-trained Segmentation Networks for Anomaly Segmentation. ETFA 2021: 1-4 - [c137]Oliver Rippel, Niclas Bilitewski, Khosrow Rahimi, Juliana Kurniadi, Andreas Herrmann, Dorit Merhof:
Identifying Pristine and Processed Animal Fibers using Machine Learning. I2MTC 2021: 1-6 - [c136]Philipp Gräbel, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Guided Representation Learning for the Classification of Hematopoietic Cells. ICCVW 2021: 545-551 - [c135]Reza Azad, Afshin Bozorgpour, Maryam Asadi-Aghbolaghi, Dorit Merhof, Sergio Escalera:
Deep Frequency Re-calibration U-Net for Medical Image Segmentation. ICCVW 2021: 3267-3276 - [c134]Oliver Rippel, Maximilian Müller, Andreas Münkel, Thomas Gries, Dorit Merhof:
Estimating the Probability Density Function of New Fabrics for Fabric Anomaly Detection. ICPRAM 2021: 463-470 - [c133]Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Surrounding Cell Suppression For Unsupervised Representation Learning In Hematological Cell Classification. ISBI 2021: 526-530 - [c132]Michael Gadermayr, Maximilian Ernst Tschuchnig, Laxmi Gupta, Nils Krämer, Daniel Truhn, Dorit Merhof, Burkhard Gess:
An Asymmetric Cycle-Consistency Loss For Dealing With Many-To-One Mappings In Image Translation: A Study On Thigh Mr Scans. ISBI 2021: 1182-1186 - [i24]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - [i23]Oliver Rippel, Arnav Chavan, Chucai Lei, Dorit Merhof:
Transfer Learning Gaussian Anomaly Detection by Fine-Tuning Representations. CoRR abs/2108.04116 (2021) - [i22]Long Chen, Matthias Daub, Hans-Georg Luigs, Marcus Jansen, Martin Strauch, Dorit Merhof:
High-throughput Phenotyping of Nematode Cysts. CoRR abs/2110.07057 (2021) - [i21]Yuli Wu, Peter Walter, Dorit Merhof:
Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography. CoRR abs/2112.04499 (2021) - [i20]Nassim Bouteldja, Barbara Mara Klinkhammer, Tarek Schlaich, Peter Boor, Dorit Merhof:
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning. CoRR abs/2112.08837 (2021) - 2020
- [j26]Tarek Stiebel, Dorit Merhof:
Brightness Invariant Deep Spectral Super-Resolution. Sensors 20(20): 5789 (2020) - [c131]Marcin Kopaczka, Richard Lindenpütz, Daniel Truhn, Maximilian Schulze-Hagen, Dorit Merhof:
Fully Automated Segmentation of the Psoas Major Muscle in Clinical CT Scans. Bildverarbeitung für die Medizin 2020: 55-60 - [c130]Marcin Kopaczka, Tobias Jacob, Lisa Ernst, Mareike Schulz, René Tolba, Dorit Merhof:
Robust Open Field Rodent Tracking Using a Fully Convolutional Network and a Softargmax Distance Loss. Bildverarbeitung für die Medizin 2020: 242-247 - [c129]Daniel Bug, Felix Bartsch, Nadine Sarah Schaadt, Mathias Wien, Friedrich Feuerhake, Julia Schüler, Eva Oswald, Dorit Merhof:
Scalable HEVC for Histological Whole-Slide Image Compression. Bildverarbeitung für die Medizin 2020: 315-321 - [c128]Daniel Bug, Gregor Nickel, Anne Grote, Friedrich Feuerhake, Eva Oswald, Julia Schüler, Dorit Merhof:
Image Quilting for Histological Image Synthesis. Bildverarbeitung für die Medizin 2020: 322-327 - [c127]Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham D. Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu Zhu, Junhui Hou, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan sabarinathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi:
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image. CVPR Workshops 2020: 1806-1822 - [c126]Yuli Wu, Long Chen, Dorit Merhof:
Improving Pixel Embedding Learning Through Intermediate Distance Regression Supervision for Instance Segmentation. ECCV Workshops (6) 2020: 213-227 - [c125]Dieter Geller, Tarek Stiebel, Oliver Rippel, Jonas Osburg, Volker Lutz, Thomas Gries, Dorit Merhof:
Accurate Stitch Position Identification of Sewn Threads in Textiles. ETFA 2020: 505-512 - [c124]Oliver Rippel, Maximilian Müller, Dorit Merhof:
GAN-based Defect Synthesis for Anomaly Detection in Fabrics. ETFA 2020: 534-540 - [c123]Oliver Rippel, Maximilian Schnabel, Georg-Philipp Paar, Thomas Gries, Dorit Merhof:
Automated Segmentation of Profiled Fibers in cross-sectional Micrographs for Quality Control. I2MTC 2020: 1-6 - [c122]Oliver Rippel, Patrick Mertens, Dorit Merhof:
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection. ICPR 2020: 6726-6733 - [c121]Tarek Stiebel, Dorit Merhof:
Linear Spectral Estimate Refinement for Spectral Reconstruction from RGB. CIC 2020: 258-263 - [c120]Marcin Kopaczka, Justus Schock, Paul Kruse, Dorit Merhof:
Efficient Deep Face Alignment with Explicit Statistical Shape Models in Convolutional Neural Networks. IPTA 2020: 1-6 - [c119]Philipp Gräbel, Gregor Nickel, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Systematic Analysis And Automated Search Of Hyper-Parameters For Cell Classifier Training. ISBI Workshops 2020: 1-4 - [c118]Philipp Gräbel, Özcan Özkan, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Circular Anchors for the Detection of Hematopoietic Cells Using Retinanet. ISBI 2020: 249-253 - [c117]Long Chen, Martin Strauch, Matthias Daub, Xiaochen Jiang, Marcus Jansen, Hans-Georg Luigs, Susanne Schultz-Kuhlmann, Stefan Krüssel, Dorit Merhof:
A CNN Framework Based on Line Annotations for Detecting Nematodes in Microscopic Images. ISBI 2020: 508-512 - [c116]Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Gustav Mueller-Franzes, Leon Weninger, Dorit Merhof:
Radiomic Feature Stability Analysis Based on Probabilistic Segmentations. ISBI 2020: 1188-1192 - [c115]Tarek Stiebel, Dorit Merhof:
Deep Optimal Filter Responses for Multi-Spectral Imaging. LIM 2020: 134-138 - [c114]Justus Schock, Marcin Kopaczka, Benjamin Agthe, Jie Huang, Paul Kruse, Daniel Truhn, Stefan Conrad, Gerald Antoch, Christiane Kuhl, Sven Nebelung, Dorit Merhof:
A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data from the Osteoarthritis Initiative. ShapeMI@MICCAI 2020: 85-94 - [c113]Long Chen, Weiwen Zhang, Yuli Wu, Martin Strauch, Dorit Merhof:
Semi-supervised Instance Segmentation with a Learned Shape Prior. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 94-102 - [c112]Tarek Stiebel, Philipp Seltsam, Dorit Merhof:
Enhancing Deep Spectral Super-resolution from RGB Images by Enforcing the Metameric Constraint. VISIGRAPP (4: VISAPP) 2020: 57-66 - [i19]Long Chen, Martin Strauch, Matthias Daub, Xiaochen Jiang, Marcus Jansen, Hans-Georg Luigs, Susanne Schultz-Kuhlmann, Stefan Krüssel, Dorit Merhof:
A CNN Framenwork Based on Line Annotations for Detecting Nematodes in Microscopic Images. CoRR abs/2004.09795 (2020) - [i18]Long Chen, Martin Strauch, Dorit Merhof:
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints. CoRR abs/2004.09821 (2020) - [i17]Long Chen, Dorit Merhof:
MixNet: Multi-modality Mix Network for Brain Segmentation. CoRR abs/2004.09832 (2020) - [i16]Michael Gadermayr, Maximilian Ernst Tschuchnig, Dorit Merhof, Nils Krämer, Daniel Truhn, Burkhard Gess:
An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans. CoRR abs/2004.11001 (2020) - [i15]Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham D. Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu Zhu, Junhui Hou, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan sabarinathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi:
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image. CoRR abs/2005.03412 (2020) - [i14]Oliver Rippel, Leon Weninger, Dorit Merhof:
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018. CoRR abs/2005.09978 (2020) - [i13]Oliver Rippel, Patrick Mertens, Dorit Merhof:
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection. CoRR abs/2005.14140 (2020) - [i12]Yuli Wu, Long Chen, Dorit Merhof:
Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation. CoRR abs/2007.06660 (2020)
2010 – 2019
- 2019
- [j25]Michael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
CNN cascades for segmenting sparse objects in gigapixel whole slide images. Comput. Medical Imaging Graph. 71: 40-48 (2019) - [j24]Leon Weninger, Christoph Haarburger, Dorit Merhof:
Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status. Frontiers Comput. Neurosci. 13: 73 (2019) - [j23]Christoph Haarburger, Justus Schock, Michael Baumgartner, Oliver Rippel, Dorit Merhof:
Delira: A High-Level Framework for Deep Learning in Medical Image Analysis. J. Open Source Softw. 4(38): 1488 (2019) - [j22]Chantal M. W. Tax, Francesco Grussu, Enrico Kaden, Lipeng Ning, S. Umesh Rudrapatna, C. John Evans, Samuel St-Jean, Alexander Leemans, Simon Koppers, Dorit Merhof, Aurobrata Ghosh, Ryutaro Tanno, Daniel C. Alexander, Stefano Zappalà, Cyril Charron, Slawomir Kusmia, David E. J. Linden, Derek K. Jones, Jelle Veraart:
Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms. NeuroImage 195: 285-299 (2019) - [j21]Marcin Kopaczka, Lukas Breuer, Justus Schock, Dorit Merhof:
A Modular System for Detection, Tracking and Analysis of Human Faces in Thermal Infrared Recordings. Sensors 19(19): 4135 (2019) - [j20]Marcin Kopaczka, Raphael Kolk, Justus Schock, Felix Burkhard, Dorit Merhof:
A Thermal Infrared Face Database With Facial Landmarks and Emotion Labels. IEEE Trans. Instrum. Meas. 68(5): 1389-1401 (2019) - [j19]Michael Gadermayr, Laxmi Gupta, Vitus Appel, Peter Boor, Barbara Mara Klinkhammer, Dorit Merhof:
Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology. IEEE Trans. Medical Imaging 38(10): 2293-2302 (2019) - [c111]Martin Strauch, Karl Krüger, Latha Mukunda, Alja Lüdke, C. Giovanni Galizia, Dorit Merhof:
Interpolating Maps between Neural Response Spaces for Chemosensing with Fruit Fly Antenna Sensors. BIBE 2019: 718-725 - [c110]Oliver Rippel, Daniel Truhn, Johannes Thüring, Christoph Haarburger, Christiane K. Kuhl, Dorit Merhof:
Prediction of Liver Function Based on DCE-CT. Bildverarbeitung für die Medizin 2019: 8-13 - [c109]Nassim Bouteldja, Dorit Merhof, Jan Ehrhardt, Mattias P. Heinrich:
Deep Multi-Modal Encoder-Decoder Networks for Shape Constrained Segmentation and Joint Representation Learning. Bildverarbeitung für die Medizin 2019: 23-28 - [c108]Simon Koppers, Edouard Coussoux, Sandro Romanzetti, Kathrin Reetz, Dorit Merhof:
Sodium Image Denoising Based on a Convolutional Denoising Autoencoder. Bildverarbeitung für die Medizin 2019: 98-103 - [c107]Leon Weninger, Qianyu Liu, Dorit Merhof:
Multi-task Learning for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2019: 327-337 - [c106]Marcin Kopaczka, Daniel Tillmann, Lisa Ernst, Justus Schock, René Tolba, Dorit Merhof:
Assessment of Laboratory Mouse Activity in Video Recordings Using Deep Learning Methods. EMBC 2019: 3673-3676 - [c105]Long Chen, Martin Strauch, Matthias Daub, Marcus Jansen, Hans-Georg Luigs, Dorit Merhof:
Instance Segmentation of Nematode Cysts in Microscopic Images of Soil Samples. EMBC 2019: 5932-5936 - [c104]Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof:
Image-Based Survival Prediction for Lung Cancer Patients Using CNNS. ISBI 2019: 1197-1201 - [c103]Long Chen, Martin Strauch, Dorit Merhof:
Instance Segmentation of Biomedical Images with an Object-Aware Embedding Learned with Local Constraints. MICCAI (1) 2019: 451-459 - [c102]Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof:
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. MICCAI (4) 2019: 495-503 - [c101]Daniel Bug, Dennis Eschweiler, Qianyu Liu, Justus Schock, Leon Weninger, Friedrich Feuerhake, Julia Schüler, Johannes Stegmaier, Dorit Merhof:
Combined Learning for Similar Tasks with Domain-Switching Networks. MICCAI (5) 2019: 565-572 - [c100]Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr:
GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy. MICCAI (1) 2019: 631-639 - [c99]Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations. MIDL 2019: 175-184 - [c98]Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr:
Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology. MIDL 2019: 215-224 - [c97]Christoph Haarburger, Nicolas Horst, Daniel Truhn, Mirjam Broeckmann, Simone Schrading, Christiane Kuhl, Dorit Merhof:
Multiparametric Magnetic Resonance Image Synthesis using Generative Adversarial Networks. VCBM 2019: 11-15 - [c96]Leon Weninger, Imke Krauhausen, Dorit Merhof:
Semantic Segmentation of Brain Tumors in MRI Data Without any Labels. VCBM 2019: 45-49 - [i11]Marcin Kopaczka, Justus Schock, Dorit Merhof:
Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters. CoRR abs/1902.03459 (2019) - [i10]Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof:
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. CoRR abs/1906.06058 (2019) - [i9]Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Leon Weninger, Dorit Merhof:
Radiomic Feature Stability Analysis based on Probabilistic Segmentations. CoRR abs/1910.05693 (2019) - 2018
- [j18]Michael Gadermayr, Georg Wimmer, Hubert Kogler, Andreas Vécsei, Dorit Merhof, Andreas Uhl:
Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis. Comput. Biol. Medicine 102: 221-226 (2018) - [j17]Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Häfner, Toru Tamaki, Shigeto Yoshida, Shinji Tanaka, Dorit Merhof, Andreas Uhl:
Training of polyp staging systems using mixed imaging modalities. Comput. Biol. Medicine 102: 251-259 (2018) - [j16]Sascha E. A. Muenzing, Martin Strauch, James W. Truman, Katja Bühler, Andreas S. Thum, Dorit Merhof:
larvalign: Aligning Gene Expression Patterns from the Larval Brain of Drosophila melanogaster. Neuroinformatics 16(1): 65-80 (2018) - [c95]Martin Strauch, Latha Mukunda, Alja Lüdke, C. Giovanni Galizia, Dorit Merhof:
Recovering a Chemotopic Feature Space from a Group of Fruit Fly Antenna Chemosensors. BIBE 2018: 163-169 - [c94]Marcin Kopaczka, Thomas Jantos, Dorit Merhof:
Towards Analysis of Mental Stress Using Thermal Infrared Tomography. Bildverarbeitung für die Medizin 2018: 157-162 - [c93]Christoph Haarburger, Peter Langenberg, Daniel Truhn, Hannah Schneider, Johannes Thüring, Simone Schrading, Christiane K. Kuhl, Dorit Merhof:
Transfer Learning for Breast Cancer Malignancy Classification based on Dynamic Contrast-Enhanced MR Images. Bildverarbeitung für die Medizin 2018: 216-221 - [c92]Tarek Stiebel, Simon Koppers, Philipp Seltsam, Dorit Merhof:
Reconstructing Spectral Images From RGB-Images Using a Convolutional Neural Network. CVPR Workshops 2018: 948-953 - [c91]Tarek Stiebel, Marcel Bosling, Aljoscha Steffens, Thomas Pretz, Dorit Merhof:
An Inspection System for Multi-Label Polymer Classification. ETFA 2018: 623-630 - [c90]Tarek Stiebel, Dieter Geller, Dorit Merhof:
Correction of Thread Position Mismatch in High Precision CNC Sewing. ETFA 2018: 1189-1192 - [c89]Marcin Kopaczka, Raphael Kolk, Dorit Merhof:
A fully annotated thermal face database and its application for thermal facial expression recognition. I2MTC 2018: 1-6 - [c88]Leon Weninger, Marcin Kopaczka, Dorit Merhof:
Defect detection in plain weave fabrics by yarn tracking and fully convolutional networks. I2MTC 2018: 1-6 - [c87]Marcin Kopaczka, Philipp Gräbel, Dorit Merhof:
Robust Statistics for Feature-based Active Appearance Models. ICETE (1) 2018: 587-592 - [c86]Michael Gadermayr, Dennis Eschweiler, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability. ICISP 2018: 461-469 - [c85]Marcin Kopaczka, Marco Saggiomo, Moritz Güttler, Thomas Gries, Dorit Merhof:
Fully Automatic Faulty Weft Thread Detection using a Camera System and Feature-based Pattern Recognition. ICPRAM 2018: 124-132 - [c84]Marcin Kopaczka, Marco Saggiomo, Moritz Güttler, Kevin Kielholz, Dorit Merhof:
Detection and Classification of Faulty Weft Threads Using Both Feature-Based and Deep Convolutional Machine Learning Methods. ICPRAM (Revised Selected Papers) 2018: 141-163 - [c83]Tarek Stiebel, Dorit Merhof:
A Robust Algorithm for Computing Boundary Points of the Metamer Mismatch Body. CIC 2018: 134-139 - [c82]Christoph Haarburger, Johannes Ruther, Daniel Truhn, Simone Schrading, Daniel Bug, Christiane K. Kuhl, Dorit Merhof:
Abbreviated breast biopsy procedure by registration of craniocaudal and mediolateral breast MR images. ISBI 2018: 826-830 - [c81]Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr:
Stain independent segmentation of whole slide images: A case study in renal histology. ISBI 2018: 1360-1364 - [c80]Marcin Kopaczka, Justus Schock, Jan Nestler, Kevin Kielholz, Dorit Merhof:
A combined modular system for face detection, head pose estimation, face tracking and emotion recognition in thermal infrared images. IST 2018: 1-6 - [c79]Leon Weninger, Oliver Rippel, Simon Koppers, Dorit Merhof:
Segmentation of Brain Tumors and Patient Survival Prediction: Methods for the BraTS 2018 Challenge. BrainLes@MICCAI (2) 2018: 3-12 - [c78]Philipp Gräbel, Martina Crysandt, Reinhild Herwartz, Melanie Hoffmann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Evaluating Out-of-the-Box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow. COMPAY/OMIA@MICCAI 2018: 78-85 - [c77]Michael Gadermayr, Vitus Appel, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images. MICCAI (2) 2018: 165-173 - [c76]Long Chen, Dorit Merhof:
MixNet: Multi-modality Mix Network for Brain Segmentation. BrainLes@MICCAI (1) 2018: 367-377 - [c75]Martin Strauch, Volker Hartenstein, Ingrid V. Andrade, Albert Cardona, Dorit Merhof:
Annotated Dendrograms for Neurons From the Larval Fruit Fly Brain. VCBM@MICCAI 2018: 57-66 - [c74]Marcin Kopaczka, Lisa Ernst, Justus Schock, Arne Schneuing, Alexander Guth, René Tolba, Dorit Merhof:
Introducing CNN-Based Mouse Grim Scale Analysis for Fully Automated Image-Based Assessment of Distress in Laboratory Mice. VCBM@MICCAI 2018: 101-106 - [i8]Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations. CoRR abs/1805.10059 (2018) - [i7]Simon Koppers, Dorit Merhof:
DELIMIT PyTorch - An extension for Deep Learning in Diffusion Imaging. CoRR abs/1808.01517 (2018) - [i6]Simon Koppers, Luke Bloy, Jeffrey I. Berman, Chantal M. W. Tax, J. Christopher Edgar, Dorit Merhof:
Spherical Harmonic Residual Network for Diffusion Signal Harmonization. CoRR abs/1808.01595 (2018) - [i5]Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof:
Image-based Survival Analysis for Lung Cancer Patients using CNNs. CoRR abs/1808.09679 (2018) - 2017
- [j15]Jakob Unger, Mike Mansour, Marcin Kopaczka, Nina Gronloh, Marc Spehr, Dorit Merhof:
An unsupervised learning approach for tracking mice in an enclosed area. BMC Bioinform. 18(1): 272:1-272:14 (2017) - [j14]Michael Gadermayr, Dennis Eschweiler, Abiramjee Jeevanesan, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
Segmenting renal whole slide images virtually without training data. Comput. Biol. Medicine 90: 88-97 (2017) - [c73]Marcin Kopaczka, Jan Nestler, Dorit Merhof:
Face Detection in Thermal Infrared Images: A Comparison of Algorithm- and Machine-Learning-Based Approaches. ACIVS 2017: 518-529 - [c72]Daniel Bug, Anne Grote, Julia Schüler, Friedrich Feuerhake, Dorit Merhof:
Analyzing Immunohistochemically Stained Whole-Slide Images of Ovarian Carcinoma. Bildverarbeitung für die Medizin 2017: 173-178 - [c71]Simon Koppers, Christoph Haarburger, J. Christopher Edgar, Dorit Merhof:
Reliable Estimation of the Number of Compartments in Diffusion MRI. Bildverarbeitung für die Medizin 2017: 203-208 - [c70]Sascha E. A. Muenzing, Andreas S. Thum, Katja Bühler, Dorit Merhof:
Evaluation of Multi-Channel Image Registration in Microscopy. Bildverarbeitung für die Medizin 2017: 299-304 - [c69]Michael Gadermayr, Sean Steven Cooper, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney. GCPR 2017: 3-13 - [c68]Joschka zur Jacobsmühlen, Stefan Kleszczynski, Gerd Witt, Dorit Merhof:
Compound quality assessment in laser beam melting processes using layer images. I2MTC 2017: 1-6 - [c67]Tarek Stiebel, Dorit Merhof:
The Importance of Smoothness Constraints on Spectral Object Reflectances when Modeling Metamer Mismatching. ICCV Workshops 2017: 2985-2992 - [c66]Marcin Kopaczka, Özcan Özkan, Dorit Merhof:
Face Tracking and Respiratory Signal Analysis for the Detection of Sleep Apnea in Thermal Infrared Videos with Head Movement. ICIAP Workshops 2017: 163-170 - [c65]Michael Gadermayr, Georg Wimmer, Andreas Uhl, Hubert Kogler, Andreas Vécsei, Dorit Merhof:
Fully-Automated CNN-Based Computer Aided Celiac Disease Diagnosis. ICIAP (2) 2017: 467-478 - [c64]Dominic Siedhoff, Martin Strauch, Victoria Shpacovitch, Dorit Merhof:
Unsupervised data analysis for virus detection with a surface plasmon resonance sensor. IPTA 2017: 1-6 - [c63]Daniel Bug, Steffen Schneider, Anne Grote, Eva Oswald, Friedrich Feuerhake, Julia Schüler, Dorit Merhof:
Context-Based Normalization of Histological Stains Using Deep Convolutional Features. DLMIA/ML-CDS@MICCAI 2017: 135-142 - [i4]Michael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
CNN Cascades for Segmenting Whole Slide Images of the Kidney. CoRR abs/1708.00251 (2017) - [i3]Daniel Bug, Steffen Schneider, Anne Grote, Eva Oswald, Friedrich Feuerhake, Julia Schüler, Dorit Merhof:
Context-based Normalization of Histological Stains using Deep Convolutional Features. CoRR abs/1708.04099 (2017) - 2016
- [c62]Simon Koppers, Christoph Hebisch, Dorit Merhof:
Feature Selection Framework for White Matter Fiber Clustering Based on Normalized Cuts. Bildverarbeitung für die Medizin 2016: 110-115 - [c61]Christian Hintze, Johannes Junggeburth, Bernhard Hill, Dorit Merhof:
Biometrische Messung der Pupillenreaktion. Bildverarbeitung für die Medizin 2016: 158-163 - [c60]Dennis Eschweiler, Jakob Unger, Kraisorn Chaisaowong, Mugdha Sawant, Reinhard Windoffer, Rudolf E. Leube, Dorit Merhof:
Detection and Quantification of Cytoskeletal Granules. Bildverarbeitung für die Medizin 2016: 260-265 - [c59]Marcin Kopaczka, Hanry Ham, Kristina Simonis, Raphael Kolk, Dorit Merhof:
Automated enhancement and detection of stripe defects in large circular weft knitted fabrics. ETFA 2016: 1-4 - [c58]Peter Faltin, Thomas Kraus, Marcin Kopaczka, Dorit Merhof:
Flattening of the Lung Surface with Temporal Consistency for the Follow-Up Assessment of Pleural Mesothelioma. VISIGRAPP (2: IVAPP) 2016: 235-245 - [c57]Matthias Breier, Patrick Küsters, Anna König, Wei Li, Marcel Bosling, Thomas Pretz, Dorit Merhof:
Rectification for fronto-parallel camera movement in 3D reconstruction of printed circuit boards. I2MTC 2016: 1-6 - [c56]Michael Gadermayr, Martin Strauch, Barbara Mara Klinkhammer, Sonja Djudjaj, Peter Boor, Dorit Merhof:
Domain Adaptive Classification for Compensating Variability in Histopathological Whole Slide Images. ICIAR 2016: 616-622 - [c55]Wei Li, Wenting Huang, Matthias Breier, Dorit Merhof:
Have we underestimated the power of image undistortion? ICIP 2016: 2946-2950 - [c54]Wei Li, Chen Jiang, Matthias Breier, Dorit Merhof:
Localizing components on printed circuit boards using 2D information. ICIT 2016: 769-774 - [c53]Joschka zur Jacobsmühlen, Jan Achterhold, Stefan Kleszczynski, Gerd Witt, Dorit Merhof:
Robust calibration marker detection in powder bed images from laser beam melting processes. ICIT 2016: 910-915 - [c52]Matthias Breier, Constantin Haas, Wei Li, Dorit Merhof:
Color filter arrays revisited - Evaluation of Bayer pattern interpolation for industrial applications. INDIN 2016: 52-57 - [c51]Michael Gadermayr, Hubert Kogler, Maximilian Karla, Andreas Vécsei, Andreas Uhl, Dorit Merhof:
Incorporating human knowledge in automated celiac disease diagnosis. IPTA 2016: 1-6 - [c50]Marcin Kopaczka, Carlo Hensel, Dorit Merhof:
An automated method for realistic face simulation and facial landmark annotation and its application to active appearance models. IPTA 2016: 1-6 - [c49]Martin Strauch, Markus Rothermel, Matt Wachowiak, Dorit Merhof:
Smoothness-constrained convex cone analysis for signal extraction from calcium imaging movies. ISBI 2016: 612-616 - [c48]Daniel Bug, Julia Schüler, Friedrich Feuerhake, Dorit Merhof:
Multi-class single-label classification of histopathological whole-slide images. ISBI 2016: 1392-1396 - [c47]Kraisorn Chaisaowong, Mingze Jiang, Peter Faltin, Dorit Merhof, Christian Eisenhawer, Monika Gube, Thomas Kraus:
Automated anatomical description of pleural thickening towards improvement of its computer-assisted diagnosis. Computer-Aided Diagnosis 2016: 978530 - [c46]Michael Gadermayr, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection. MLMI@MICCAI 2016: 18-26 - [c45]Simon Koppers, Dorit Merhof:
Direct Estimation of Fiber Orientations Using Deep Learning in Diffusion Imaging. MLMI@MICCAI 2016: 53-60 - [c44]Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Häfner, Dorit Merhof, Andreas Uhl:
Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps. CARE@MICCAI 2016: 59-71 - [c43]Dennis Eschweiler, Michael Gadermayr, Jakob Unger, Markus Nippold, Björn Falkenburger, Dorit Merhof:
A Feasibility Study on Automated Protein Aggregate Characterization Utilizing a Hybrid Classification Model. VCBM/MedViz 2016: 105-109 - [c42]Marcin Kopaczka, Kemal Acar, Dorit Merhof:
Robust Facial Landmark Detection and Face Tracking in Thermal Infrared Images using Active Appearance Models. VISIGRAPP (4: VISAPP) 2016: 150-158 - [p1]Andreas Graumann, Mirco Richter, Christopher Nimsky, Dorit Merhof:
Exploring Crossing Fibers of the Brain's White Matter Using Directional Regions of Interest. Visualization in Medicine and Life Sciences III 2016: 179-194 - [i2]Wei Li, Matthias Breier, Dorit Merhof:
Recycle deep features for better object detection. CoRR abs/1607.05066 (2016) - 2015
- [j13]Felix Schönenberger, Anja Deutzmann, Elisa Ferrando-May, Dorit Merhof:
Discrimination of cell cycle phases in PCNA-immunolabeled cells. BMC Bioinform. 16: 180:1-180:10 (2015) - [j12]Dorian Schneider, Dorit Merhof:
Blind weave detection for woven fabrics. Pattern Anal. Appl. 18(3): 725-737 (2015) - [j11]Minmin Shen, Chen Li, Wei Huang, Paul Szyszka, Kimiaki Shirahama, Marcin Grzegorzek, Dorit Merhof, Oliver Deussen:
Interactive tracking of insect posture. Pattern Recognit. 48(11): 3560-3571 (2015) - [j10]Dorian Schneider, Yves-Simon Gloy, Dorit Merhof:
Vision-Based On-Loom Measurement of Yarn Densities in Woven Fabrics. IEEE Trans. Instrum. Meas. 64(4): 1063-1074 (2015) - [c41]Daniel Bug, Friedrich Feuerhake, Dorit Merhof:
Foreground Extraction for Histopathological Whole Slide Imaging. Bildverarbeitung für die Medizin 2015: 419-424 - [c40]Simon Koppers, Thomas Schultz, Dorit Merhof:
Spherical Ridgelets for Multi-Diffusion Tensor Refinement. Bildverarbeitung für die Medizin 2015: 437-442 - [c39]Wei Li, Matthias Breier, Dorit Merhof:
Skew correction and line extraction in binarized printed text images. ICIP 2015: 472-476 - [c38]Matthias Breier, Philipp Moller, Wei Li, Marcel Bosling, Thomas Pretz, Dorit Merhof:
Accurate laser triangulation using a perpendicular camera setup to assess the height profile of PCBs. ICIT 2015: 1613-1618 - [c37]Joschka zur Jacobsmühlen, Stefan Kleszczynski, Gerd Witt, Dorit Merhof:
Detection of elevated regions in surface images from laser beam melting processes. IECON 2015: 1270-1275 - 2014
- [j9]Dorian Schneider, Timm Holtermann, Dorit Merhof:
A traverse inspection system for high precision visual on-loom fabric defect detection. Mach. Vis. Appl. 25(6): 1585-1599 (2014) - [c36]David Friedrich, Christoph Haarburger, Adrián Luna Cobos, Dietrich Meyer-Ebrecht, Alfred Böcking, Dorit Merhof:
Segmentierung von Zellkernen für Hochdurchsatz-DNA-Bildzytomerie. Bildverarbeitung für die Medizin 2014: 216-221 - [c35]Peter Faltin, Phan-Anh Nguyen, Kraisorn Chaisaowong, Thomas Kraus, Dorit Merhof:
Interactive 3D Segmentation of Pleural Thickenings Simultaniously at Different Points of Time Using Graph Cut. Bildverarbeitung für die Medizin 2014: 378-383 - [c34]Joschka zur Jacobsmühlen, Stefan Kleszczynski, Gerd Witt, Dorit Merhof:
Robustness analysis of imaging system for inspection of laser beam melting systems. ETFA 2014: 1-4 - [c33]Dorian Schneider, Dorit Merhof:
High precision on-loom yarn density measurement in woven fabrics. I2MTC 2014: 130-134 - [c32]Minmin Shen, Wei Huang, Paul Szyszka, C. Giovanni Galizia, Dorit Merhof:
Interactive Framework for Insect Tracking with Active Learning. ICPR 2014: 2733-2738 - [c31]Matthias Breier, Wei Li, Marcel Bosling, Thomas Pretz, Dorit Merhof:
Rotation estimation for printed circuit board recycling. IECON 2014: 3468-3474 - [c30]Wei Li, Stefan Neullens, Matthias Breier, Marcel Bosling, Thomas Pretz, Dorit Merhof:
Text recognition for information retrieval in images of printed circuit boards. IECON 2014: 3487-3493 - [c29]Wei Li, Simon J. Sonntag, Michael Becker, Nikolaus Marx, Ulrich Steinseifer, Dorit Merhof:
Efficient numerical reconstruction of color Doppler images of mitral regurgitation in vitro. ISBI 2014: 1059-1062 - [c28]Peter Faltin, Kraisorn Chaisaowong, Thomas Kraus, Dorit Merhof:
Consistent follow-up segmentation of pleural thickenings. ISBI 2014: 1368-1372 - [c27]David Friedrich, Dietrich Meyer-Ebrecht, Alfred Böcking, Dorit Merhof:
Detection of felt tip markers on microscope slides. Digital Pathology 2014: 904105 - [c26]Peter Faltin, Kraisorn Chaisaowong, Thomas Kraus, Dorit Merhof:
Extracting and Visualizing Uncertainties in Segmentations from 3D Medical Data. VCBM 2014: 31-39 - 2013
- [j8]Martin Strauch, Clemens Müthing, Marc P. Broeg, Paul Szyszka, Daniel Münch, Thomas Laudes, Oliver Deussen, Cosmas Galizia, Dorit Merhof:
The looks of an odour - Visualising neural odour response patterns in real time. BMC Bioinform. 14(S-19): S6 (2013) - [c25]Mirco Richter, Dorit Merhof:
Optimized Cortical Subdivision for Classification of Alzheimer's Disease With Cortical Thickness. Bildverarbeitung für die Medizin 2013: 33-38 - [c24]Minmin Shen, Bastian Zimmer, Marcel Leist, Dorit Merhof:
Automated Image Processing to Quantify Cell Migration. Bildverarbeitung für die Medizin 2013: 152-157 - [c23]Minmin Shen, Paul Szyszka, C. Giovanni Galizia, Dorit Merhof:
Automatic framework for tracking honeybee's antennae and mouthparts from low framerate video. ICIP 2013: 4112-4116 - 2012
- [j7]Hendrik Strobelt, Enrico Bertini, Joachim Braun, Oliver Deussen, Ulrich Groth, Thomas U. Mayer, Dorit Merhof:
HiTSEE KNIME: a visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform. BMC Bioinform. 13(S-8): S4 (2012) - [c22]Martin Strauch, Marc P. Broeg, Clemens Müthing, Paul Szyszka, Oliver Deussen, C. Giovanni Galizia, Dorit Merhof:
INCIDE the brain of a bee: Visualising honeybee brain activity in real time by semantic segmentation. BioVis 2012: 17-24 - [c21]Diana Röttger, Daniela Dudai, Dorit Merhof, Stefan Müller:
Visualization and Evaluation of Intra-Bundle Diffusion Characteristics. GI-Jahrestagung 2012: 1125-1135 - [c20]Dorit Merhof, Diana Röttger, Christopher Nimsky:
Diffusionsbildgebung -Trends und aktuelle Entwicklungen. GI-Jahrestagung 2012: 1136-1145 - [c19]Mirco Richter, Courtney A. Bishop, Juergen Dukart, Elisabeth Stühler, Karsten Mueller, Matthias L. Schroeter, Dorit Merhof:
Skeleton-based gyri sulci separation for improved assessment of cortical thickness. ISBI 2012: 1144-1147 - [c18]Diana Röttger, Daniela Dudai, Dorit Merhof, Stefan Müller:
Bundle Visualization Strategies for HARDI Characteristics. ISVC (1) 2012: 326-335 - [c17]Diana Röttger, Daniela Dudai, Dorit Merhof, Stefan Müller:
ISMI: a classification index for high angular resolution diffusion imaging. Image Processing 2012: 83144E - [c16]Diana Röttger, Dorit Merhof, Stefan Müller:
The BundleExplorer: A Focus and Context Rendering Framework for Complex Fiber Distributions. VCBM 2012: 1-8 - [c15]Kai Bürger, Roland Fraedrich, Dorit Merhof, Rüdiger Westermann:
Instant visitation maps for interactive visualization of uncertain particle trajectories. Visualization and Data Analysis 2012: 82940P - 2011
- [j6]Courtney A. Bishop, Mark Jenkinson, Jesper L. R. Andersson, Jérôme Declerck, Dorit Merhof:
Novel Fast Marching for Automated Segmentation of the Hippocampus (FMASH): Method and validation on clinical data. NeuroImage 55(3): 1009-1019 (2011) - [c14]Philipp Landgraf, Dorit Merhof, Mirco Richter:
Anisotropy of HARDI Diffusion Profiles Based on the L2-Norm. Bildverarbeitung für die Medizin 2011: 239-243 - [c13]Dorit Merhof, Michael Buchfelder, Christopher Nimsky:
Evaluation of Local Filter Approaches for Diffusion Tensor-Based Fiber Tracking. Bildverarbeitung für die Medizin 2011: 354-358 - [c12]Enrico Bertini, Hendrik Strobelt, Joachim Braun, Oliver Deussen, Ulrich Groth, Thomas U. Mayer, Dorit Merhof:
HiTSEE: A visualization tool for hit selection and analysis in high-throughput screening experiments. BioVis 2011: 95-102 - [i1]Thorsten Riess, Christian Dietz, Martin Tomas, Elisa Ferrando-May, Dorit Merhof:
Automated Image Processing for the Analysis of DNA Repair Dynamics. CoRR abs/1101.3391 (2011) - 2010
- [c11]Dorit Merhof, Günther Greiner, Michael Buchfelder, Christopher Nimsky:
Fiber Selection from Diffusion Tensor Data based on Boolean Operators. Bildverarbeitung für die Medizin 2010: 147-151 - [c10]Courtney A. Bishop, Mark Jenkinson, Jérôme Declerck, Dorit Merhof:
Evaluation of Hippocampal Segmentation Methods for Healthy and Pathological Subjects. VCBM 2010: 17-24
2000 – 2009
- 2007
- [b1]Dorit Merhof:
Reconstruction and visualization of neuronal pathways from diffusion tensor data. University of Erlangen, Germany, Arbeitsberichte des Department Informatik / Friedrich-Alexander-Universität Erlangen-Nürnberg 40. 2007, 6, 2007, pp. I-XIV, 1-184 - [j5]Dorit Merhof, Roberto Grosso, Udo Tremel, Günther Greiner:
Anisotropic quadrilateral mesh generation: An indirect approach. Adv. Eng. Softw. 38(11-12): 860-867 (2007) - [j4]Dorit Merhof, Grzegorz Soza, Andreas Stadlbauer, Günther Greiner, Christopher Nimsky:
Correction of susceptibility artifacts in diffusion tensor data using non-linear registration. Medical Image Anal. 11(6): 588-603 (2007) - [c9]Dorit Merhof, Martin Meister, Ezgi Bingöl, Peter Hastreiter, Christopher Nimsky, Günther Greiner:
Generation of Hulls Encompassing Neuronal Pathways Based on Tetrahedralization and 3D Alpha Shapes. Bildverarbeitung für die Medizin 2007: 308-312 - 2006
- [j3]Christopher Nimsky, Oliver Ganslandt, Frank Enders, Dorit Merhof, Thilo Hammen, Michael Buchfelder:
Visualization Strategies for Major White Matter Tracts for Intraoperative Use. Int. J. Comput. Assist. Radiol. Surg. 1(1): 13-22 (2006) - [j2]Christopher Nimsky, Oliver Ganslandt, Dorit Merhof, A. Gregory Sorensen, Rudolf Fahlbusch:
Intraoperative visualization of the pyramidal tract by diffusion-tensor-imaging-based fiber tracking. NeuroImage 30(4): 1219-1229 (2006) - [j1]Dorit Merhof, Markus Sonntag, Frank Enders, Christopher Nimsky, Peter Hastreiter, Günther Greiner:
Hybrid Visualization for White Matter Tracts using Triangle Strips and Point Sprites. IEEE Trans. Vis. Comput. Graph. 12(5): 1181-1188 (2006) - [c8]Dorit Merhof, Markus Sonntag, Frank Enders, Christopher Nimsky, Peter Hastreiter, Günther Greiner:
Streamline Visualization of Diffusion Tensor Data Based on Triangle Strips. Bildverarbeitung für die Medizin 2006: 271-275 - [c7]Dorit Merhof, Mirco Richter, Frank Enders, Peter Hastreiter, Oliver Ganslandt, Michael Buchfelder, Christopher Nimsky, Günther Greiner:
Fast and Accurate Connectivity Analysis Between Functional Regions Based on DT-MRI. MICCAI (2) 2006: 225-233 - 2005
- [c6]Frank Enders, Dorit Merhof, Peter Hastreiter, Marc Stamminger, Christopher Nimsky:
Enhanced Visualization of Diffusion Tensor Data for Neurosurgery. Bildverarbeitung für die Medizin 2005: 272-276 - [c5]Peter Hastreiter, Dorit Merhof, Frank Enders, Rudolf Fahlbusch, Christopher Nimsky, Marc Stamminger:
Rekonstruktion und Visualisierung neuronaler Bahnen. GI Jahrestagung (2) 2005: 678 - [c4]Dorit Merhof, Peter Hastreiter, Christopher Nimsky, Rudolf Fahlbusch, G. Greiner:
Directional volume growing for the extraction of white matter tracts from diffusion tensor data. Image-Guided Procedures 2005 - [c3]Dorit Merhof, Frank Enders, Fernando Vega, Peter Hastreiter, Christopher Nimsky, Marc Stamminger:
Integrated Visualization of Diffusion Tensor Fiber Tracts and Anatomical Data. SimVis 2005: 153-164 - [c2]Frank Enders, Natascha Sauber, Dorit Merhof, Peter Hastreiter, Christopher Nimsky, Marc Stamminger:
Visualization of White Matter Tracts with Wrapped Streamlines. IEEE Visualization 2005: 51-58 - 2004
- [c1]Dorit Merhof, Peter Hastreiter, Grzegorz Soza, Christopher Nimsky:
Non-linear Integration of DTI-based Fiber Tracts into Standard 3D MR Data. VMV 2004: 371-378
Coauthor Index
[j37] [c190] [j36] [j34] [c189] [c187] [c186] [c184] [c181] [c179] [c178] [c177] [i66] [i65] [i64] [i61] [i58] [i57] [j33] [j31] [c175] [c174] [c172] [c170] [c169] [c168] [c167] [c166] [c165] [c164] [c163] [i56] [i55] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i44] [i43] [i41] [i40] [i39] [i38] [i37] [j30] [c148] [c147] [c146] [c145] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i28] [i27] [i26] [i25] [c135]
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