| 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 | 199 | 2017 |
| Prostate MRI Segmentation Using Learned Semantic Knowledge And Graph Cuts D Mahapatra IEEE Transactions on Biomedical Engineering 61 (3), 756-764, 2014 | 92 | 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 | 90 | 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 | 82 | 2013 |
| Analyzing Training Information From Random Forests For Improved Image Segmentation D Mahapatra Transactions on Image Processing 23 (4), 1504-1512, 2014 | 78 | 2014 |
| 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 | 70 | 2018 |
| 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 | 70 | 2015 |
| Motion saliency outweighs other low-level features while watching videos D Mahapatra, S Winkler, SC Yen Human Vision and Electronic Imaging XIII 6806, 68060P, 2008 | 65 | 2008 |
| 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 | 61 | 2019 |
| Boosting convolutional filters with entropy sampling for optic cup and disc image segmentation from fundus images JG Zilly, JM Buhmann, D Mahapatra International workshop on machine learning in medical imaging, 136-143, 2015 | 60 | 2015 |
| Image super resolution using generative adversarial networks and local saliency maps for retinal image analysis D Mahapatra, B Bozorgtabar, S Hewavitharanage, R Garnavi International conference on medical image computing and computer-assisted …, 2017 | 59 | 2017 |
| 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 | 58 | 2018 |
| Cardiac image segmentation from cine cardiac MRI using graph cuts and shape priors D Mahapatra Journal of digital imaging 26 (4), 721-730, 2013 | 57 | 2013 |
| Skull Stripping of Neonatal Brain MRI: Using Prior Shape Information with Graph Cuts D Mahapatra Journal of digital imaging: the official journal of the Society for Computer …, 2012 | 56 | 2012 |
| Joint registration and segmentation of dynamic cardiac perfusion images using MRFs D Mahapatra, Y Sun International Conference on Medical Image Computing and Computer-Assisted …, 2010 | 54 | 2010 |
| Automatic Cardiac RV Segmentation Using Semantic Information With Graph Cuts D Mahapatra, JM Buhmann Biomedical Imaging: From Nano to Macro, 2013. ISBI 2013. 12th IEEE …, 2013 | 51 | 2013 |
| Coherency Based Spatio-Temporal Saliency Detection For Video Object Segmentation D Mahapatra, S Gilani, M Saini IEEE, 2014 | 50 | 2014 |
| A supervised learning based approach to detect crohn’s disease in abdominal mr volumes D Mahapatra, P Schueffler, JAW Tielbeek, JM Buhmann, FM Vos International MICCAI Workshop on Computational and Clinical Challenges in …, 2012 | 48 | 2012 |
| Nonrigid registration of dynamic renal MR images using a saliency based MRF model D Mahapatra, Y Sun International Conference on Medical Image Computing and Computer-Assisted …, 2008 | 48 | 2008 |
| Computational Modeling for Assessment of IBD: to be or not to be? FM Vos, JAW Tielbeek, RE Naziroglu, Z Li, P Schueffler, D Mahapatra, ... EMBC, 3974-3977, 2012 | 47 | 2012 |
Joachim M. BuhmannETH ZurichVerified email at inf.ethz.ch
