| GANs for medical image analysis S Kazeminia, C Baur, A Kuijper, B Van Ginneken, N Navab, S Albarqouni, ... Artificial intelligence in medicine 109, 101938, 2020 | 693 | 2020 |
| CATARACTS: Challenge on automatic tool annotation for cataRACT surgery H Al Hajj, M Lamard, PH Conze, S Roychowdhury, X Hu, G Maršalkaitė, ... Medical image analysis 52, 24-41, 2019 | 169 | 2019 |
| Knee menisci segmentation using convolutional neural networks: data from the osteoarthritis initiative A Tack, A Mukhopadhyay, S Zachow Osteoarthritis and cartilage 26 (5), 680-688, 2018 | 144 | 2018 |
| Statistical shape modeling of the left ventricle: myocardial infarct classification challenge A Suinesiaputra, P Ablin, X Alba, M Alessandrini, J Allen, W Bai, S Cimen, ... IEEE journal of biomedical and health informatics 22 (2), 503-515, 2017 | 106 | 2017 |
| Generative adversarial networks: a primer for radiologists JM Wolterink, A Mukhopadhyay, T Leiner, TJ Vogl, AM Bucher, I Išgum Radiographics 41 (3), 840-857, 2021 | 94 | 2021 |
| Tool and phase recognition using contextual CNN features M Sahu, A Mukhopadhyay, A Szengel, S Zachow arXiv preprint arXiv:1610.08854, 2016 | 72 | 2016 |
| A survey on shape-constraint deep learning for medical image segmentation S Bohlender, I Oksuz, A Mukhopadhyay IEEE Reviews in Biomedical Engineering 16, 225-240, 2021 | 71 | 2021 |
| Addressing multi-label imbalance problem of surgical tool detection using CNN M Sahu, A Mukhopadhyay, A Szengel, S Zachow International journal of computer assisted radiology and surgery 12 (6 …, 2017 | 71 | 2017 |
| M3d-CAM: A PyTorch library to generate 3D attention maps for medical deep learning K Gotkowski, C Gonzalez, A Bucher, A Mukhopadhyay Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on …, 2021 | 66 | 2021 |
| Toward an automatic preoperative pipeline for image-guided temporal bone surgery J Fauser, I Stenin, M Bauer, WH Hsu, J Kristin, T Klenzner, J Schipper, ... International journal of computer assisted radiology and surgery 14 (6), 967-976, 2019 | 60 | 2019 |
| Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation C González, K Gotkowski, M Fuchs, A Bucher, A Dadras, R Fischbach, ... Medical image analysis 82, 102596, 2022 | 59 | 2022 |
| Lifelong nnu-net: a framework for standardized medical continual learning C González, A Ranem, D Pinto dos Santos, A Othman, A Mukhopadhyay Scientific Reports 13 (1), 9381, 2023 | 55 | 2023 |
| An efficient Riemannian statistical shape model using differential coordinates: With application to the classification of data from the Osteoarthritis Initiative C von Tycowicz, F Ambellan, A Mukhopadhyay, S Zachow Medical image analysis 43, 1-9, 2018 | 52 | 2018 |
| GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows S Pati, SP Thakur, İE Hamamcı, U Baid, B Baheti, M Bhalerao, O Güley, ... Communications Engineering 2 (1), 23, 2023 | 51 | 2023 |
| Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and validation study Y Tolkach, LM Wolgast, A Damanakis, A Pryalukhin, S Schallenberg, ... The Lancet Digital Health 5 (5), e265-e275, 2023 | 50 | 2023 |
| Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation M Sahu, R Strömsdörfer, A Mukhopadhyay, S Zachow International conference on medical image computing and computer-assisted …, 2020 | 49 | 2020 |
| The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge X Li, G Luo, K Wang, H Wang, J Liu, X Liang, J Jiang, Z Song, C Zheng, ... arXiv preprint arXiv:2301.03281, 2023 | 48 | 2023 |
| i3PosNet: instrument pose estimation from X-ray in temporal bone surgery D Kügler, J Sehring, A Stefanov, I Stenin, J Kristin, T Klenzner, J Schipper, ... International journal of computer assisted radiology and surgery 15 (7 …, 2020 | 43 | 2020 |
| Detecting when pre-trained nnu-net models fail silently for covid-19 lung lesion segmentation C Gonzalez, K Gotkowski, A Bucher, R Fischbach, I Kaltenborn, ... International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 41 | 2021 |
| What is wrong with continual learning in medical image segmentation? C Gonzalez, N Lemke, A Ranem, G Sakas, A Mukhopadhyay Proceedings of the International Workshop on Personalized Incremental …, 2025 | 37 | 2025 |
Camila GonzálezStanford UniversityVerified email at stanford.edu
