| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2155 | 2018 |
| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 1354 | 2023 |
| The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 4128, 2022 | 1080 | 2022 |
| Modeling the distribution of normal data in pre-trained deep features for anomaly detection O Rippel, P Mertens, D Merhof 2020 25th International Conference on Pattern Recognition (ICPR), 6726-6733, 2021 | 306 | 2021 |
| Diffusion models in medical imaging: A comprehensive survey A Kazerouni, EK Aghdam, M Heidari, R Azad, M Fayyaz, I Hacihaliloglu, ... Medical Image Analysis, 102846, 2023 | 304 | 2023 |
| Hiformer: Hierarchical multi-scale representations using transformers for medical image segmentation M Heidari, A Kazerouni, M Soltany, R Azad, EK Aghdam, J Cohen-Adad, ... Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 290 | 2023 |
| Intraoperative visualization of the pyramidal tract by diffusion-tensor-imaging-based fiber tracking C Nimsky, O Ganslandt, D Merhof, AG Sorensen, R Fahlbusch Neuroimage 30 (4), 1219-1229, 2006 | 286 | 2006 |
| Medical image segmentation review: The success of u-net R Azad, EK Aghdam, A Rauland, Y Jia, AH Avval, A Bozorgpour, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 275 | 2024 |
| Radiomic versus convolutional neural networks analysis for classification of contrast-enhancing lesions at multiparametric breast MRI D Truhn, S Schrading, C Haarburger, H Schneider, D Merhof, C Kuhl Radiology 290 (2), 290-297, 2019 | 244 | 2019 |
| Evaluation of a human neurite growth assay as specific screen for developmental neurotoxicants AK Krug, NV Balmer, F Matt, F Schönenberger, D Merhof, M Leist Archives of toxicology 87, 2215-2231, 2013 | 186 | 2013 |
| Diffusion models for medical image analysis: A comprehensive survey A Kazerouni, EK Aghdam, M Heidari, R Azad, M Fayyaz, I Hacihaliloglu, ... arXiv preprint arXiv:2211.07804, 2022 | 151 | 2022 |
| Deep learning–based segmentation and quantification in experimental kidney histopathology N Bouteldja, BM Klinkhammer, RD Bülow, P Droste, SW Otten, ... Journal of the American Society of Nephrology 32 (1), 52-68, 2021 | 146 | 2021 |
| Advances in medical image analysis with vision transformers: a comprehensive review R Azad, A Kazerouni, M Heidari, EK Aghdam, A Molaei, Y Jia, A Jose, ... Medical Image Analysis 91, 103000, 2024 | 142 | 2024 |
| Transdeeplab: Convolution-free transformer-based deeplab v3+ for medical image segmentation R Azad, M Heidari, M Shariatnia, EK Aghdam, S Karimijafarbigloo, E Adeli, ... International Workshop on PRedictive Intelligence In MEdicine, 91-102, 2022 | 138 | 2022 |
| Fiber tractography based on diffusion tensor imaging compared with high-angular-resolution diffusion imaging with compressed sensing: initial experience D Kuhnt, MHA Bauer, J Egger, M Richter, T Kapur, J Sommer, D Merhof, ... Neurosurgery 72, A165-A175, 2013 | 123 | 2013 |
| Discrimination of cell cycle phases in PCNA-immunolabeled cells F Schönenberger, A Deutzmann, E Ferrando-May, D Merhof BMC bioinformatics 16, 1-10, 2015 | 122 | 2015 |
| Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms CMW Tax, F Grussu, E Kaden, L Ning, U Rudrapatna, CJ Evans, ... NeuroImage 195, 285-299, 2019 | 118 | 2019 |
| Dae-former: Dual attention-guided efficient transformer for medical image segmentation R Azad, R Arimond, EK Aghdam, A Kazerouni, D Merhof MICCAI Workshop on Predictive Intelligence in Medicine (PRIME), 2023 | 113 | 2023 |
| Radiomics feature reproducibility under inter-rater variability in segmentations of CT images C Haarburger, G Müller-Franzes, L Weninger, C Kuhl, D Truhn, D Merhof Scientific reports 10 (1), 12688, 2020 | 106 | 2020 |
| Segmentation of brain tumors and patient survival prediction: Methods for the brats 2018 challenge L Weninger, O Rippel, S Koppers, D Merhof Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 105 | 2019 |
