| Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation J Zilly, JM Buhmann, D Mahapatra Computerized Medical Imaging and Graphics 55, 28-41, 2017 | 425 | 2017 |
| Image super-resolution using progressive generative adversarial networks for medical image analysis D Mahapatra, B Bozorgtabar, R Garnavi Computerized Medical Imaging and Graphics 71, 30-39, 2019 | 311 | 2019 |
| Efficient active learning for image classification and segmentation using a sample selection and conditional generative adversarial network D Mahapatra, B Bozorgtabar, JP Thiran, M Reyes International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 206 | 2018 |
| Deformable medical image registration using generative adversarial networks D Mahapatra, B Antony, S Sedai, R Garnavi 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 204 | 2018 |
| MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge R Verma, N Kumar, A Patil, NC Kurian, S Rane, S Graham, QD Vu, ... IEEE Transactions on Medical Imaging 40 (12), 3413-3423, 2021 | 168 | 2021 |
| Prostate MRI Segmentation Using Learned Semantic Knowledge And Graph Cuts D Mahapatra IEEE Transactions on Biomedical Engineering 61 (3), 756-764, 2014 | 129 | 2014 |
| Medical Image Computing and Computer Assisted Intervention− MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III M Descoteaux, L Maier-Hein, A Franz, P Jannin, DL Collins, S Duchesne Springer, 2017 | 127 | 2017 |
| Image super resolution using generative adversarial networks and local saliency maps for retinal image analysis D Mahapatra, B Bozorgtabar, S Hewavitharanage, R Garnavi Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 118 | 2017 |
| Analyzing Training Information From Random Forests For Improved Image Segmentation D Mahapatra Transactions on Image Processing 23 (4), 1504-1512, 2014 | 114 | 2014 |
| Image registration based on autocorrelation of local structure Z Li, D Mahapatra, JAW Tielbeek, J Stoker, LJ van Vliet, FM Vos IEEE transactions on medical imaging 35 (1), 63-75, 2015 | 110 | 2015 |
| Improving medical images classification with label noise using dual-uncertainty estimation L Ju, X Wang, L Wang, D Mahapatra, X Zhao, Q Zhou, T Liu, Z Ge IEEE transactions on medical imaging 41 (6), 1533-1546, 2022 | 107 | 2022 |
| Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV AF Frangi, JA Schnabel, C Davatzikos, C Alberola-López, G Fichtinger Springer, 2018 | 105 | 2018 |
| Boosting convolutional filters with entropy sampling for optic cup and disc image segmentation from fundus images JG Zilly, JM Buhmann, D Mahapatra Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015 …, 2015 | 104 | 2015 |
| Integrating segmentation information for improved MRF-based elastic image registration D Mahapatra, Y Sun IEEE Transactions on Image Processing 21 (1), 170-183, 2011 | 104 | 2011 |
| Automatic Detection and Segmentation of Crohn's Disease Tissues from Abdominal MRI D Mahapatra, PJ Schüffler, JAW Tielbeek, JC Makanyanga, J Stoker, ... IEEE Transactions on Medical Imaging 32 (12), 2332-2348, 2013 | 101 | 2013 |
| Semi-supervised segmentation of optic cup in retinal fundus images using variational autoencoder S Sedai, D Mahapatra, S Hewavitharanage, S Maetschke, R Garnavi International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 91 | 2017 |
| Semi-supervised learning and graph cuts for consensus based medical image segmentation D Mahapatra Pattern recognition 63, 700-709, 2017 | 86 | 2017 |
| Multimodal multi-head convolutional attention with various kernel sizes for medical image super-resolution MI Georgescu, RT Ionescu, AI Miron, O Savencu, NC Ristea, N Verga, ... Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 82 | 2023 |
| The Role of generative adversarial network in medical image analysis: An in-depth survey M AlAmir, M AlGhamdi ACM Computing Surveys 55 (5), 1-36, 2022 | 80 | 2022 |
| Cardiac image segmentation from cine cardiac MRI using graph cuts and shape priors D Mahapatra Journal of digital imaging 26, 721-730, 2013 | 79 | 2013 |
Joachim M. BuhmannETH ZurichVerifisert e-postadresse på inf.ethz.ch