| 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 | 335 | 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 | 173 | 2019 |
| 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 | 152 | 2018 |
| 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 Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 142 | 2018 |
| Survey on segmentation and classification approaches of optic cup and optic disc for diagnosis of glaucoma N Thakur, M Juneja Biomedical Signal Processing and Control 42, 162-189, 2018 | 119 | 2018 |
| Prostate MRI Segmentation Using Learned Semantic Knowledge And Graph Cuts D Mahapatra IEEE Transactions on Biomedical Engineering 61 (3), 756-764, 2014 | 114 | 2014 |
| Integrating segmentation information for improved MRF-based elastic image registration D Mahapatra, Y Sun IEEE Transactions on Image Processing 21 (1), 170-183, 2011 | 101 | 2011 |
| Analyzing Training Information From Random Forests For Improved Image Segmentation D Mahapatra Transactions on Image Processing 23 (4), 1504-1512, 2014 | 97 | 2014 |
| 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 | 95 | 2017 |
| 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 | 95 | 2013 |
| 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 | 93 | 2015 |
| Medical image registration using deep neural networks: a comprehensive review HR Boveiri, R Khayami, R Javidan, A Mehdizadeh Computers & Electrical Engineering 87, 106767, 2020 | 92 | 2020 |
| State-relabeling adversarial active learning B Zhang, L Li, S Yang, S Wang, ZJ Zha, Q Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 92 | 2020 |
| 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 | 87 | 2015 |
| Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III N Navab, J Hornegger, WM Wells, A Frangi Springer, 2015 | 85 | 2015 |
| Diabetic retinopathy techniques in retinal images: A review N Salamat, MMS Missen, A Rashid Artificial intelligence in medicine 97, 168-188, 2019 | 81 | 2019 |
| Unsupervised multi-modal image registration via geometry preserving image-to-image translation M Arar, Y Ginger, D Danon, AH Bermano, D Cohen-Or Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 78 | 2020 |
| Motion saliency outweighs other low-level features while watching videos D Mahapatra, S Winkler, SC Yen Human Vision and Electronic Imaging XIII 6806, 246-255, 2008 | 75 | 2008 |
| Query2label: A simple transformer way to multi-label classification S Liu, L Zhang, X Yang, H Su, J Zhu arXiv preprint arXiv:2107.10834, 2021 | 72 | 2021 |
| Cardiac image segmentation from cine cardiac MRI using graph cuts and shape priors D Mahapatra Journal of digital imaging 26, 721-730, 2013 | 72 | 2013 |
Joachim M. BuhmannETH ZurichVerified email at inf.ethz.ch
