| 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 | 71 | 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 | 49 | 2021 |
| 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 | 34 | 2017 |
| 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 | 31 | 2020 |
| 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 | 31 | 2019 |
| 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 Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 28 | 2016 |
| 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), 1-10, 2021 | 21 | 2021 |
| 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 | 15 | 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 | 12 | 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 | 10 | 2020 |
| 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 | 10 | 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 |
| 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 | 8 | 2020 |
| Machine learning in a graph framework for subcortical segmentation Z Guo, S Kashyap, M Sonka, I Oguz Medical Imaging 2017: Image Processing 10133, 122-128, 2017 | 8 | 2017 |
| Automated analysis of cartilage morphology S Kashyap, Y Yin, M Sonka 2013 IEEE 10th International Symposium on Biomedical Imaging, 1300-1303, 2013 | 8 | 2013 |
| 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 | 7 | 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 | 7 | 2019 |
| Highly modular multi-platform development environment for automated segmentation and just enough interaction H Zhang, S Kashyap, A Wahle, M Sonka Interactive Medical Image Computing: 3th International Workshop, IMIC, 2016 | 7 | 2016 |
| 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 | 6 | 2020 |
| LOGISMOS: A family of graph-based optimal image segmentation methods I Oguz, H Bogunović, S Kashyap, MD Abrāmoff, X Wu, M Sonka Medical Image Recognition, Segmentation and Parsing, 179-208, 2016 | 6 | 2016 |
Mehdi MoradiMcMaster UniversityVerified email at mcmaster.ca
