Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Satyananda Kashyap

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation


Oct 08, 2021
Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Srini Bala, Daniel J. Beutel, Victor Bittorf, Akshay Chaudhari, Alexander Chowdhury, Cody Coleman, Bala Desinghu, Gregory Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G Anthony Reina, Pablo Ribalta, Jacob Rosenthal, Abhishek Singh, Jayaraman J. Thiagarajan, Anna Wuest, Maria Xenochristou, Daguang Xu, Poonam Yadav, Michael Rosenthal, Massimo Loda, Jason M. Johnson, Peter Mattson


  Access Paper or Ask Questions

Basis Scaling and Double Pruning for Efficient Transfer Learning


Aug 06, 2021
Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi


  Access Paper or Ask Questions

Chest ImaGenome Dataset for Clinical Reasoning


Jul 31, 2021
Joy T. Wu, Nkechinyere N. Agu, Ismini Lourentzou, Arjun Sharma, Joseph A. Paguio, Jasper S. Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo A. Celi, Mehdi Moradi

* Dataset available on PhysioNet (https://doi.org/10.13026/wv01-y230

  Access Paper or Ask Questions

Channel Scaling: A Scale-and-Select Approach for Transfer Learning


Mar 22, 2021
Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi

* This paper was accepted by the IEEE International Symposium on Biomedical Imaging (ISBI) 2021 

  Access Paper or Ask Questions

Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development


Oct 08, 2020
Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana Mukherjee, Elizabeth A Krupinski, Mehdi Moradi


  Access Paper or Ask Questions

Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Tool Development


Sep 15, 2020
Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana Mukherjee, Elizabeth A Krupinski, Mehdi Moradi


  Access Paper or Ask Questions

Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets


Aug 04, 2020
Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi

* Accepted to Machine Learning in Medical Imaging (MLMI 2020), in conjunction with MICCAI 2020, Oct. 4, 2020 

  Access Paper or Ask Questions

Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning


Aug 02, 2020
Satyananda Kashyap, Alexandros Karargyris, Joy Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer Syeda-Mahmood

* 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) 
* 5 pages, Paper presented as a poster at the International Symposium on Biomedical Imaging, 2020, Paper Number 655 

  Access Paper or Ask Questions

Chest X-ray Report Generation through Fine-Grained Label Learning


Jul 27, 2020
Tanveer Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest Boyko, Mehdi Moradi

* 11 pages, 5 figures, to appear in MICCAI 2020 Conference 

  Access Paper or Ask Questions

Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification


May 03, 2020
Deepta Rajan, Jayaraman J. Thiagarajan, Alexandros Karargyris, Satyananda Kashyap


  Access Paper or Ask Questions

Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation


Jul 26, 2019
Jayaraman J. Thiagarajan, Satyananda Kashyap, Alexandros Karagyris


  Access Paper or Ask Questions

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays


Jun 21, 2019
Tanveer Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, Karthik Sheshadri, Weiting Wang, Ken C. L. Wong, Joy T. Wu

* This paper was accepted by the IEEE International Symposium on Biomedical Imaging (ISBI) 2019 

  Access Paper or Ask Questions

Just-Enough Interaction Approach to Knee MRI Segmentation: Data from the Osteoarthritis Initiative


Mar 10, 2019
Satyananda Kashyap, Honghai Zhang, Milan Sonka

* Proceedings of the 3rd International Workshop on Interactive Medical Image Computing (IMIC), Held in Conjunction with MICCAI, 2016 

  Access Paper or Ask Questions

Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative


Mar 10, 2019
Satyananda Kashyap, Ipek Oguz, Honghai Zhang, Milan Sonka

* Med Image Comput Comput Assist Interv. 2016 Oct;9901:344-351. doi: 10.1007/978-3-319-46723-8_40. Epub 2016 Oct 2 
* KEYWORDS: Graph based segmentation; Just enough interaction; LOGISMOS; Neighborhood approximation forests; Osteoarthritis; Random forest classifier; knee MRI PMID: 28626842 PMCID: PMC5471813 

  Access Paper or Ask Questions

Learning-Based Cost Functions for 3D and 4D Multi-Surface Multi-Object Segmentation of Knee MRI: Data from the Osteoarthritis Initiative


Mar 10, 2019
Satyananda Kashyap, Honghai Zhang, Karan Rao, Milan Sonka

* Published in: IEEE Transactions on Medical Imaging ( Volume: 37 , Issue: 5 , May 2018 ) 
* IEEE Transactions in Medical Imaging, 11 pages 

  Access Paper or Ask Questions

Age prediction using a large chest X-ray dataset


Mar 09, 2019
Alexandros Karargyris, Satyananda Kashyap, Joy T Wu, Arjun Sharma, Mehdi Moradi, Tanveer Syeda-Mahmood

* Presented at SPIE Medical Imaging Conference, San Diego, 2019 

  Access Paper or Ask Questions