Satyananda Kashyap

50 papers B 1C 1Misc 1Journal 22Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops - LDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings LDTM/MMMI/ML4MHD/ML-CDS@MICCAI Anna Schroder, Xiang Li, Tanveer F. Syeda-Mahmood, Neil P. Oxtoby, Alexandra L. Young, Alessa Hering, Tejas Sudharshan Mathai, Pritam Mukherjee, Sven Kuckertz, Tiantian He, Isaac Llorente-Saguer, Andreas Maier, Satyananda Kashyap, Hayit Greenspan, Anant Madabhushi
2025	—	`conf`	Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations. UniReps Satyananda Kashyap, Niharika S. D'Souza, Luyao Shi, Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2025	J	`jnl`	StructText: A Synthetic Table-to-Text Approach for Benchmark Generation with Multi-Dimensional Evaluation. CoRR Satyananda Kashyap, Sola Shirai, Nandana Mihindukulasooriya, Horst Samulowitz
2024	J	`jnl`	Basis scaling and double pruning for efficient inference in network-based transfer learning. Pattern Recognit. Lett. Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
2024	—	`conf`	Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound. MLMI@MICCAI (1) Yiming Chen, Niharika Shimona D'Souza, Akshith Mandepally, Patrick Henninger, Satyananda Kashyap, Neerav Karani, Neel Dey, Marcos Zachary, Raed Rizq, Paul Chouinard, Polina Golland, Tanveer F. Syeda-Mahmood
2024	J	`jnl`	Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound. CoRR Yiming Chen, Niharika Shimona D'Souza, Akshith Mandepally, Patrick Henninger, Satyananda Kashyap, Neerav Karani, Neel Dey, Marcos Zachary, Raed Rizq, Paul Chouinard, Polina Golland, Tanveer F. Syeda-Mahmood
2024	J	`jnl`	Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations. CoRR Satyananda Kashyap, Niharika Shimona D'Souza, Luyao Shi, Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2023	—	`conf`	Discussion and recommendations from the 2023 "Gaze Meets ML" workshop breakout session. Gaze Meets ML 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
2023	—	`conf`	Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study. AMAI@MICCAI 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 F. Syeda-Mahmood
2023	J	`jnl`	Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 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 A. 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 F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. 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
2023	—	`ed.`	Gaze Meets Machine Learning Workshop, 16 December 2023, New Orleans, Louisiana, USA. Gaze Meets ML Amarachi Madu Blessing, Joy T. Wu, Danca Zario, Elizabeth A. Krupinski, Satyananda Kashyap, Alexandros Karargyris
2022	—	`conf`	A new deep neural segmentation network for cerebral aneurysms in 2D digital subtraction angiography. Image-Guided Procedures Satyananda Kashyap, Hakan Bulu, Ashutosh Jadhav, Ronak Dholakia, Amon Y. Liu, Hussain Rangwala, William R. Patterson, Mehdi Moradi
2022	—	`conf`	Preface. Gaze Meets ML Ismini Lourentzou, Joy T. Wu, Satyananda Kashyap, Alexandros Karargyris, Leo Anthony Celi, Ban Kawas, Sachin S. Talathi
2022	—	`ed.`	Proceedings of The 1st Gaze Meets ML workshop, in conjunction with the Annual Conference on Neural Information Processing Systems, 03 December 2022, New Orleans, USA Gaze Meets ML Ismini Lourentzou, Joy T. Wu, Satyananda Kashyap, Alexandros Karargyris, Leo Anthony Celi, Ban Kawas, Sachin S. Talathi
2022	Misc	`conf`	Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. AMIA Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Tanveer F. Syeda-Mahmood, Hussain Rangwala, Mehdi Moradi
2022	J	`jnl`	Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. CoRR Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Amon Y. Liu, Tanveer F. Syeda-Mahmood, William R. Patterson, Hussain Rangwala, Mehdi Moradi
2021	J	`jnl`	Basis Scaling and Double Pruning for Efficient Transfer Learning. CoRR Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
2021	—	`conf`	Channel Scaling: A Scale-And-Select Approach For Transfer Learning. ISBI Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
2021	J	`jnl`	Channel Scaling: A Scale-and-Select Approach for Transfer Learning. CoRR Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
2021	—	`conf`	Chest ImaGenome Dataset for Clinical Reasoning. NeurIPS Datasets and Benchmarks 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
2021	J	`jnl`	Chest ImaGenome Dataset for Clinical Reasoning. CoRR 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
2021	J	`jnl`	MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. CoRR 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
2021	—	`conf`	Self-training with improved regularization for sample-efficient chest x-ray classification. Computer-Aided Diagnosis Deepta Rajan, Jayaraman J. Thiagarajan, Alexandros Karargyris, Satyananda Kashyap
2020	—	`conf`	Chest X-Ray Report Generation Through Fine-Grained Label Learning. MICCAI (2) 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
2020	J	`jnl`	Chest X-ray Report Generation through Fine-Grained Label Learning. CoRR 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
2020	J	`jnl`	Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development. CoRR 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
2020	—	`conf`	Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets. MLMI@MICCAI Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi
2020	J	`jnl`	Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets. CoRR Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi
2020	—	`conf`	Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. ISBI Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020	J	`jnl`	Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning. CoRR Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020	J	`jnl`	Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification. CoRR Deepta Rajan, Jayaraman J. Thiagarajan, Alexandros Karargyris, Satyananda Kashyap
2020	—	`conf`	Towards Visual Dialog for Radiology. BioNLP 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
2019	J	`jnl`	Age prediction using a large chest X-ray dataset. CoRR Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2019	—	`conf`	Age prediction using a large chest x-ray dataset. Computer-Aided Diagnosis Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer Fathima Syeda-Mahmood
2019	—	`conf`	Artificial intelligence for point of care radiograph quality assessment. Computer-Aided Diagnosis Satyananda Kashyap, Mehdi Moradi, Alexandros Karargyris, Joy T. Wu, Michael Morris, Babak Saboury, Eliot L. Siegel, Tanveer F. Syeda-Mahmood
2019	J	`jnl`	Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative. CoRR Satyananda Kashyap, Ipek Oguz, Honghai Zhang, Milan Sonka
2019	—	`conf`	Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays. ISBI 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
2019	J	`jnl`	Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays. CoRR 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
2019	C	`conf`	Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation. ICMLA Jayaraman J. Thiagarajan, Satyananda Kashyap, Alexandros Karargyris
2019	J	`jnl`	Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation. CoRR Jayaraman J. Thiagarajan, Satyananda Kashyap, Alexandros Karargyris
2019	J	`jnl`	Just-Enough Interaction Approach to Knee MRI Segmentation: Data from the Osteoarthritis Initiative. CoRR Satyananda Kashyap, Honghai Zhang, Milan Sonka
2019	J	`jnl`	Learning-Based Cost Functions for 3D and 4D Multi-Surface Multi-Object Segmentation of Knee MRI: Data from the Osteoarthritis Initiative. CoRR Satyananda Kashyap, Honghai Zhang, Karan Rao, Milan Sonka
2019	—	`conf`	Visual Dialog for Radiology: Data Curation and FirstSteps. ViGIL@NeurIPS 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
2018	J	`jnl`	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 Satyananda Kashyap, Honghai Zhang, Karan Rao, Milan Sonka
2017	B	`conf`	Machine learning in a graph framework for subcortical segmentation. Image Processing Zhihui Guo, Satyananda Kashyap, Milan Sonka, Ipek Oguz
2016	—	`conf`	Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative. MICCAI (2) Satyananda Kashyap, Ipek Oguz, Honghai Zhang, Milan Sonka
2016	—	`conf`	Globally Optimal Label Fusion with Shape Priors. MICCAI (2) Ipek Oguz, Satyananda Kashyap, Hongzhi Wang, Paul A. Yushkevich, Milan Sonka
2016	—	`conf`	Statistical shape analysis of automatically segmented femur bones: Data from the osteoarthritis initiative. ISBI Satyananda Kashyap, Ipek Oguz, Milan Sonka
2013	—	`conf`	Automated analysis of cartilage morphology. ISBI Satyananda Kashyap, Yin Yin, Milan Sonka
2010	—	`conf`	A fast & accurate non-iterative algorithm for regularized non-Cartesian MRI. ISBI Satyananda Kashyap, Mathews Jacob