Satyananda Kashyap

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 40

Top Topics

Transfer Learning

Digital X Ray Images

Intravascular Ultrasound

Efficient Inference

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
Basis scaling and double pruning for efficient inference in network-based transfer learning. Pattern Recognit. Lett. 177 (2024)
Satyananda Kashyap, Neerav Karani, Alexander Shang, Niharika Shimona D'Souza, Neel Dey, Lay Jain, Ray Wang, Hatice Akakin, Qian Li, Wenguang Li, Corydon Carlson, Polina Golland, Tanveer Syeda-Mahmood
Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study. AMAI@MICCAI (2023)
Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5 (7) (2023)
Alexandros Karargyris, Shuaib Ahmed, Ryan Anthony J. de Belen, Bonny Banerjee, Timur Ibrayev, Satyananda Kashyap, Elizabeth A. Krupinski, Chenyi Kuang, Paul Madu, Amarachi Madu, Silvia Makowski, Athul Mathew, Tim Rolff, Bert Shi, Joy T. Wu, Danca Zario
Discussion and recommendations from the 2023 "Gaze Meets ML" workshop breakout session. Gaze Meets ML (2023)
Satyananda Kashyap, Hakan Bulu, Ashutosh Jadhav, Ronak Dholakia, Amon Y. Liu, Hussain Rangwala, William R. Patterson, Mehdi Moradi
A new deep neural segmentation network for cerebral aneurysms in 2D digital subtraction angiography. Medical Imaging: Image-Guided Procedures (2022)
Ismini Lourentzou, Joy T. Wu, Satyananda Kashyap, Alexandros Karargyris, Leo Anthony Celi, Ban Kawas, Sachin S. Talathi
Preface. Gaze Meets ML (2022)
Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Tanveer F. Syeda-Mahmood, Hussain Rangwala, Mehdi Moradi
Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. AMIA (2022)
Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Amon Y. Liu, Tanveer F. Syeda-Mahmood, William R. Patterson, Hussain Rangwala, Mehdi Moradi
Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. CoRR (2022)
Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
Channel Scaling: A Scale-And-Select Approach For Transfer Learning. ISBI (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
Chest ImaGenome Dataset for Clinical Reasoning. CoRR (2021)
Deepta Rajan, Jayaraman J. Thiagarajan, Alexandros Karargyris, Satyananda Kashyap
Self-training with improved regularization for sample-efficient chest x-ray classification. Medical Imaging: Computer-Aided Diagnosis (2021)
Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
Channel Scaling: A Scale-and-Select Approach for Transfer Learning. CoRR (2021)
Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
Basis Scaling and Double Pruning for Efficient Transfer Learning. CoRR (2021)
Joy T. Wu, Nkechinyere Agu, Ismini Lourentzou, Arjun Sharma, Joseph Alexander Paguio, Jasper Seth Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo Anthony Celi, Mehdi Moradi
Chest ImaGenome Dataset for Clinical Reasoning. NeurIPS Datasets and Benchmarks (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 F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas D. 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
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. CoRR (2021)
Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. ISBI (2020)
Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning. CoRR (2020)
Deepta Rajan, Jayaraman J. Thiagarajan, Alexandros Karargyris, Satyananda Kashyap
Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification. CoRR (2020)
Tanveer F. 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 B. Boyko, Mehdi Moradi
Chest X-ray Report Generation through Fine-Grained Label Learning. CoRR (2020)
Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets. CoRR (2020)
Tanveer F. 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 B. Boyko, Mehdi Moradi
Chest X-Ray Report Generation Through Fine-Grained Label Learning. MICCAI (2) (2020)
Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy T. Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana V. Mukherjee, Elizabeth A. Krupinski, Mehdi Moradi
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development. CoRR (2020)
Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi
Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets. MLMI@MICCAI (2020)
Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Joy T. Wu, Deddeh Ballah, Adam Coy, Alexandros Karargyris, Yufan Guo, David James Beymer, Anna Rumshisky, Vandana V. Mukherjee
Towards Visual Dialog for Radiology. BioNLP (2020)
Satyananda Kashyap, Ipek Oguz, Honghai Zhang, Milan Sonka
Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative. CoRR (2019)
Satyananda Kashyap, Honghai Zhang, Karan Rao, Milan Sonka
Learning-Based Cost Functions for 3D and 4D Multi-Surface Multi-Object Segmentation of Knee MRI: Data from the Osteoarthritis Initiative. CoRR (2019)
Tanveer F. 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
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays. CoRR (2019)
Jayaraman J. Thiagarajan, Satyananda Kashyap, Alexandros Karargyris
Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation. CoRR (2019)
Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer Fathima Syeda-Mahmood
Age prediction using a large chest x-ray dataset. Medical Imaging: Computer-Aided Diagnosis (2019)
Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, K. Seshadhri, Weiting Wang, Ken C. L. Wong, Joy T. Wu
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays. ISBI (2019)
Satyananda Kashyap, Mehdi Moradi, Alexandros Karargyris, Joy T. Wu, Michael Morris, Babak Saboury, Eliot L. Siegel, Tanveer F. Syeda-Mahmood
Artificial intelligence for point of care radiograph quality assessment. Medical Imaging: Computer-Aided Diagnosis (2019)
Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Adam Coy, Deddeh Ballah, Yufan Guo, Joy T. Wu, Alexandros Karargyris, David Beymer, Anna Rumshisky, Vandana V. Mukherjee
Visual Dialog for Radiology: Data Curation and FirstSteps. ViGIL@NeurIPS (2019)
Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Age prediction using a large chest X-ray dataset. CoRR (2019)
Satyananda Kashyap, Honghai Zhang, Milan Sonka
Just-Enough Interaction Approach to Knee MRI Segmentation: Data from the Osteoarthritis Initiative. CoRR (2019)
Jayaraman J. Thiagarajan, Satyananda Kashyap, Alexandros Karargyris
Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation. ICMLA (2019)
Satyananda Kashyap, Honghai Zhang, Karan Rao, Milan Sonka
Learning-Based Cost Functions for 3-D and 4-D Multi-Surface Multi-Object Segmentation of Knee MRI: Data From the Osteoarthritis Initiative. IEEE Trans. Medical Imaging 37 (5) (2018)
Zhihui Guo, Satyananda Kashyap, Milan Sonka, Ipek Oguz
Machine learning in a graph framework for subcortical segmentation. Medical Imaging: Image Processing (2017)
Satyananda Kashyap, Ipek Oguz, Milan Sonka
Statistical shape analysis of automatically segmented femur bones: Data from the osteoarthritis initiative. ISBI (2016)
Ipek Oguz, Satyananda Kashyap, Hongzhi Wang, Paul A. Yushkevich, Milan Sonka
Globally Optimal Label Fusion with Shape Priors. MICCAI (2) (2016)
Satyananda Kashyap, Ipek Oguz, Honghai Zhang, Milan Sonka
Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative. MICCAI (2) (2016)
Satyananda Kashyap, Yin Yin, Milan Sonka
Automated analysis of cartilage morphology. ISBI (2013)
Satyananda Kashyap, Mathews Jacob
A fast & accurate non-iterative algorithm for regularized non-Cartesian MRI. ISBI (2010)