| 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 | 225 | 2020 |
| 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 | 85 | 2018 |
| 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 | 65 | 2019 |
| 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 | 52 | 2017 |
| Tool and phase recognition using contextual CNN features M Sahu, A Mukhopadhyay, A Szengel, S Zachow arXiv preprint arXiv:1610.08854, 2016 | 43 | 2016 |
| 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 | 38 | 2017 |
| 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 | 25 | 2018 |
| 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 | 24 | 2019 |
| Habitat-Net: Segmentation of habitat images using deep learning JF Abrams, A Vashishtha, ST Wong, A Nguyen, A Mohamed, S Wieser, ... Ecological informatics 51, 121-128, 2019 | 22 | 2019 |
| Unsupervised myocardial segmentation for cardiac BOLD I Oksuz, A Mukhopadhyay, R Dharmakumar, SA Tsaftaris IEEE transactions on medical imaging 36 (11), 2228-2238, 2017 | 20 | 2017 |
| Planning nonlinear access paths for temporal bone surgery J Fauser, G Sakas, A Mukhopadhyay International journal of computer assisted radiology and surgery 13 (5), 637-646, 2018 | 18 | 2018 |
| Total variation random forest: Fully automatic mri segmentation in congenital heart diseases A Mukhopadhyay Reconstruction, segmentation, and analysis of medical images, 165-171, 2016 | 17 | 2016 |
| 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 | 16 | 2020 |
| 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 | 14* | 2020 |
| Morphological analysis of the left ventricular endocardial surface and its clinical implications A Mukhopadhyay, Z Qian, SM Bhandarkar, T Liu, S Rinehart, S Voros International conference on medical image computing and computer-assisted …, 2012 | 11 | 2012 |
| 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 | 10 | 2021 |
| Unsupervised myocardial segmentation for cardiac MRI A Mukhopadhyay, I Oksuz, M Bevilacqua, R Dharmakumar, SA Tsaftaris International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 10 | 2015 |
| Non-rigid shape correspondence and description using geodesic field estimate distribution AT New, A Mukhopadhyay, HR Arabnia, SM Bhandarkar ACM SIGGRAPH 2012 Posters, 1-1, 2012 | 10 | 2012 |
| M3d-CAM K Gotkowski, C Gonzalez, A Bucher, A Mukhopadhyay Bildverarbeitung für die Medizin 2021, 217-222, 2021 | 9* | 2021 |
| Morphological analysis of the left ventricular endocardial surface using a bag-of-features descriptor A Mukhopadhyay, Z Qian, SM Bhandarkar, T Liu, S Voros, S Rinehart IEEE journal of biomedical and health informatics 19 (4), 1483-1493, 2014 | 9 | 2014 |
Stefan ZachowZuse Institute Berlin (ZIB)Verified email at zib.de
