Satyananda Kashyap
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Machine learning in a graph framework for subcortical segmentation
Z Guo, S Kashyap, M Sonka, I Oguz
Proceedings of SPIE--the International Society for Optical Engineering 10133, 2017
Non-iterative regularized reconstruction algorithm for non-Cartesian MRI: NIRVANA
S Kashyap, Z Yang, M Jacob
Magnetic resonance imaging 29 (2), 222-229, 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
Highly modular multi-platform development environment for automated segmentation and just enough interaction
H Zhang, S Kashyap, A Wahle, M Sonka
MICCAI IMIC workshop, 2016
Automated analysis of cartilage morphology
S Kashyap, Y Yin, M Sonka
2013 IEEE 10th International Symposium on Biomedical Imaging, 1300-1303, 2013
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