| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge M Bakas, Spyridon and Reyes, Mauricio and Jakab, Andras and Bauer, Stefan ... Benchmark, 2018 | 1879* | 2018 |
| A conditional adversarial network for semantic segmentation of brain tumor M Rezaei, K Harmuth, W Gierke, T Kellermeier, M Fischer, H Yang, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 171 | 2018 |
| Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain … A Crimi, S Bakas, H Kuijf, F Keyvan, M Reyes, T van Walsum Springer - Benchmark, 2019 | 75* | 2019 |
| Recurrent generative adversarial network for learning imbalanced medical image semantic segmentation M Rezaei, H Yang, C Meinel Journal of Multimedia Tools and Applications, 1-20, 2019 | 70 | 2019 |
| Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC … A Crimi, S Bakas, H Kuijf, B Menze, M Reyes Benchmark, 2018 | 59 | 2018 |
| Deep Neural Network with l2-norm Unit for Brain Lesions Detection M Rezaei, H Yang, C Meinel International Conference on Neural Information Processing 2017, 2017 | 41 | 2017 |
| Whole heart and great vessel segmentation with context-aware of generative adversarial networks M Rezaei, H Yang, C Meinel Bildverarbeitung für die Medizin 2018: Algorithmen-Systeme-Anwendungen …, 2018 | 35 | 2018 |
| voxel-GAN: adversarial framework for learning imbalanced brain tumor segmentation M Rezaei, H Yang, C Meinel Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 34 | 2019 |
| Texture classification approach based on combination of random threshold vector technique and co-occurrence matrixes M Rezaei, M Saberi, SF Ershad Proceedings of 2011 International Conference on Computer Science and Network …, 2011 | 32 | 2011 |
| Conditional Generative Adversarial Refinement Networks for Unbalanced Medical Image Semantic Segmentation M Rezaei, H Yang, K Harmuth, C Meinel 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1836-1845, 2019 | 29 | 2019 |
| Conditional generative refinement adversarial networks for unbalanced medical image semantic segmentation M Rezaei, H Yang, C Meinel WACV 2018, 2018 | 28 | 2018 |
| Instance tumor segmentation using multitask convolutional neural network M Rezaei, H Yang, C Meinel 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 27 | 2018 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 25 | 2022 |
| Generative multi-adversarial network for striking the right balance in abdominal image segmentation M Rezaei, J Näppi, C Lippert, C Meinel, Y Hiroyuki International journal of computer assisted radiology and surgery, 10, 2020 | 21 | 2020 |
| Exploitation of the polymeric immunoglobulin receptor for antibody targeting to renal cyst lumens in polycystic kidney disease EE Olsan, T Matsushita, M Rezaei, T Weimbs Journal of Biological Chemistry 290 (25), 15679-15686, 2015 | 21 | 2015 |
| FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation M Ozgur Turkoglu, A Becker, HA Gündüz, M Rezaei, B Bischl, ... NeurIPS 2022, 2022 | 20* | 2022 |
| Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis M Rezaei, T Uemura, J Näppi, H Yoshida, C Lippert, C Meinel Medical Imaging 2020: Computer-Aided Diagnosis 11314, 82-89, 2020 | 19 | 2020 |
| Generative Adversarial Framework for Learning Multiple Clinical Tasks M Rezaei, H Yang, C Meinel 2018 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2019 | 16 | 2019 |
| Multi-task generative adversarial network for handling imbalanced clinical data M Rezaei, H Yang, C Meinel NeurIPS 2018 ML4Health workshop, 2018 | 13 | 2018 |
| Brain abnormality detection by deep convolutional neural network M Rezaei, H Yang, C Meinel International Conference on Neural Information Processing 2017, 2017 | 10 | 2017 |
christoph meinelHasso Plattner Institute / German University of Digital ScienceVerified email at hpi.de
