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ORCIDDorit Merhof
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- affiliation: Universität Regensburg, Germany
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2020 – today
- 2024
[j35]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)- [j34]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) - [c181]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 - [c180]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 - [c179]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 - [c178]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 - [c177]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 - [c176]Amirhossein Kazerouni, Reza Azad, Alireza Hosseini, Dorit Merhof, Ulas Bagci:
INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings. WACV 2024: 1287-1296 - [i62]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) - [i61]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) - [i60]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) - [i59]Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof:
Unsupervised Latent Stain Adaption for Digital Pathology. CoRR abs/2406.19081 (2024) - [i58]Dennis Hein, Afshin Bozorgpour, Dorit Merhof, Ge Wang:
Physics-Inspired Generative Models in Medical Imaging: A Review. CoRR abs/2407.10856 (2024) - [i57]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) - 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) - [c175]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 - [c174]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 - [c173]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci, Dorit Merhof:
Self-supervised Semantic Segmentation: Consistency over Transformation. ICCV (Workshops) 2023: 2646-2655 - [c172]Long Chen, Yuli Wu, Johannes Stegmaier, Dorit Merhof:
SortedAP: Rethinking evaluation metrics for instance segmentation. ICCV (Workshops) 2023: 3925-3931 - [c171]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 - [c170]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 - [c169]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 - [c168]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 - [c167]Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof:
Self-supervised Few-Shot Learning for Semantic Segmentation: An Annotation-Free Approach. PRIME@MICCAI 2023: 159-171 - [c166]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 - [c165]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof:
MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation. MIDL 2023: 680-694 - [c164]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Saeed Ebadollahi, Dorit Merhof:
MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation. MIDL 2023: 1144-1162 - [c163]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 - [c162]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) - [c161]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 - [c160]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 - [c159]Yuli Wu, Peter Walter, Dorit Merhof:
Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography. Bildverarbeitung für die Medizin 2022: 327-332 - [c158]Long Chen, Yuli Wu, Dorit Merhof:
Instance Segmentation of Dense and Overlapping Objects via Layering. BMVC 2022: 400 - [c157]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 - [c156]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 - [c155]Oliver Rippel, Nikolaj Schönfelder, Khosrow Rahimi, Juliana Kurniadi, Andreas Herrmann, Dorit Merhof:
Panoptic Segmentation of Animal Fibers. I2MTC 2022: 1-6 - [c154]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 - [c153]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 - [c152]Oliver Rippel, Arnav Chavan, Chucai Lei, Dorit Merhof:
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations. IMPROVE 2022: 45-56 - [c151]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 - [c150]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 - [c149]Justus Schock, Yu-Chia Lan, Daniel Truhn, Marcin Kopaczka, Stefan Conrad, Sven Nebelung, Dorit Merhof:
Monoplanar CT Reconstruction with GANs. IPTA 2022: 1-6 - [c148]Leon Weninger, Mushawar Ahmad, Dorit Merhof:
From Supervised to Unsupervised Harmonization of Diffusion Mri Acquisitions. ISBI 2022: 1-5 - [c147]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 - [c146]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 - [c145]Reza Azad, Moein Heidari, Yuli Wu, Dorit Merhof:
Contextual Attention Network: Transformer Meets U-Net. MLMI@MICCAI 2022: 377-386 - [c144]Reza Azad, Nika Khosravi, Dorit Merhof:
SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities. MIDL 2022: 48-62 - [c143]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) - [c142]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 - [c141]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 - [c140]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 - [c139]Leon Weninger, Andre Gilerson, Dorit Merhof:
Improving Localization of Brain Tumors through 3D GAN Inpainting. EMBC 2021: 2651-2654 - [c138]Oliver Rippel, Peter Haumering, Johannes Brauers, Dorit Merhof:
Anomaly Detection for the Automated Visual Inspection of PET Preform Closures. ETFA 2021: 1-7 - [c137]Oliver Rippel, Dorit Merhof:
Leveraging pre-trained Segmentation Networks for Anomaly Segmentation. ETFA 2021: 1-4 - [c136]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 - [c135]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 - [c134]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 - [c133]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 - [c132]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 - [c131]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) - [c130]