| Comparison of chest radiograph interpretations by artificial intelligence algorithm vs radiology residents JT Wu, KCL Wong, Y Gur, N Ansari, A Karargyris, A Sharma, M Morris, ... JAMA network open 3 (10), e2022779-e2022779, 2020 | 122 | 2020 |
| Creation and validation of a chest X-ray dataset with eye-tracking and report dictation for AI development A Karargyris, S Kashyap, I Lourentzou, JT Wu, A Sharma, M Tong, ... Scientific data 8 (1), 92, 2021 | 89 | 2021 |
| Chest x-ray report generation through fine-grained label learning T Syeda-Mahmood, KCL Wong, Y Gur, JT Wu, A Jadhav, S Kashyap, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 55 | 2020 |
| Chest imagenome dataset for clinical reasoning JT Wu, NN Agu, I Lourentzou, A Sharma, JA Paguio, JS Yao, EC Dee, ... arXiv preprint arXiv:2108.00316, 2021 | 49 | 2021 |
| Federated benchmarking of medical artificial intelligence with MedPerf A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ... Nature machine intelligence 5 (7), 799-810, 2023 | 47 | 2023 |
| Learning-based cost functions for 3-D and 4-D multi-surface multi-object segmentation of knee MRI: data from the osteoarthritis initiative S Kashyap, H Zhang, K Rao, M Sonka IEEE transactions on medical imaging 37 (5), 1103-1113, 2017 | 44 | 2017 |
| Age prediction using a large chest x-ray dataset A Karargyris, S Kashyap, JT Wu, A Sharma, M Moradi, T Syeda-Mahmood Medical imaging 2019: computer-aided diagnosis 10950, 468-476, 2019 | 42 | 2019 |
| Convolutional autoencoder based model HistoCAE for segmentation of viable tumor regions in liver whole-slide images M Roy, J Kong, S Kashyap, VP Pastore, F Wang, KCL Wong, V Mukherjee Scientific Reports 11 (1), 139, 2021 | 40 | 2021 |
| Towards visual dialog for radiology O Kovaleva, C Shivade, S Kashyap, K Kanjaria, J Wu, D Ballah, A Coy, ... Proceedings of the 19th SIGBioMed workshop on biomedical language processing …, 2020 | 31 | 2020 |
| Automated segmentation of knee MRI using hierarchical classifiers and just enough interaction based learning: data from osteoarthritis initiative S Kashyap, I Oguz, H Zhang, M Sonka International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 31 | 2016 |
| Medperf: open benchmarking platform for medical artificial intelligence using federated evaluation A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, S Bala, ... arXiv preprint arXiv:2110.01406, 2021 | 21 | 2021 |
| LOGISMOS-JEI: Segmentation using optimal graph search and just-enough interaction H Zhang, K Lee, Z Chen, S Kashyap, M Sonka Handbook of Medical Image Computing and Computer Assisted Intervention, 249-272, 2020 | 20 | 2020 |
| Looking in the right place for anomalies: Explainable Ai through automatic location learning S Kashyap, A Karargyris, J Wu, Y Gur, A Sharma, KCL Wong, M Moradi, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1125-1129, 2020 | 17 | 2020 |
| Self-training with improved regularization for sample-efficient chest x-ray classification D Rajan, JJ Thiagarajan, A Karargyris, S Kashyap Medical Imaging 2021: Computer-Aided Diagnosis 11597, 418-425, 2021 | 13 | 2021 |
| Artificial intelligence for point of care radiograph quality assessment S Kashyap, M Moradi, A Karargyris, JT Wu, M Morris, B Saboury, E Siegel, ... Medical Imaging 2019: Computer-Aided Diagnosis 10950, 893-899, 2019 | 13 | 2019 |
| Chest imagenome dataset (version 1.0. 0) JT Wu, NN Agu, I Lourentzou, A Sharma, JA Paguio, JS Yao, EC Dee, ... PhysioNet 5 (18), 2-3, 2021 | 12 | 2021 |
| Globally optimal label fusion with shape priors I Oguz, S Kashyap, H Wang, P Yushkevich, M Sonka Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 9 | 2016 |
| Non-iterative regularized reconstruction algorithm for non-Cartesian MRI: NIRVANA S Kashyap, Z Yang, M Jacob Magnetic resonance imaging 29 (2), 222-229, 2011 | 9 | 2011 |
| Learning invariant feature representation to improve generalization across chest x-ray datasets S Ghimire, S Kashyap, JT Wu, A Karargyris, M Moradi Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | 8 | 2020 |
| Distill-to-label: weakly supervised instance labeling using knowledge distillation JJ Thiagarajan, S Kashyap, A Karargyris 2019 18th IEEE International Conference on Machine Learning and Applications …, 2019 | 8 | 2019 |
Mehdi MoradiMcMaster UniversityVerified email at mcmaster.ca
