Basis scaling and double pruning for efficient inference in network-based transfer learning - Ken C. L. Wong; Satyananda Kashyap; Mehdi Moradi (Pattern Recognit. Lett., 2024)

Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound - 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 (Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part I, 2024)

Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound - 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 (CoRR, 2024)

Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations - Satyananda Kashyap; Niharika Shimona D'Souza; Luyao Shi; Ken C. L. Wong; Hongzhi Wang; Tanveer F. Syeda-Mahmood (CoRR, 2024)

Federated benchmarking of medical artificial intelligence with MedPerf - 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; et al. (Nat. Mac. Intell., 2023)

Discussion and recommendations from the 2023 "Gaze Meets ML" workshop breakout session - 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; et al. (Gaze Meets Machine Learning Workshop, 16 December 2023, New Orleans, Louisiana, USA, 2023)

Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study - 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; et al. (Applications of Medical Artificial Intelligence - Second International Workshop, AMAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, 2023)

Gaze Meets Machine Learning Workshop, 16 December 2023, New Orleans, Louisiana, USA - Amarachi Madu Blessing; Joy T. Wu; Danca Zario; Elizabeth A. Krupinski; Satyananda Kashyap; Alexandros Karargyris (PMLR, 2023)

Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms - Ashutosh Jadhav; Satyananda Kashyap; Hakan Bulu; Ronak Dholakia; Tanveer F. Syeda-Mahmood; Hussain Rangwala; Mehdi Moradi (AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022, 2022)

Preface - Ismini Lourentzou; Joy T. Wu; Satyananda Kashyap; Alexandros Karargyris; Leo Anthony Celi; Ban Kawas; Sachin S. Talathi (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, 2022)

A new deep neural segmentation network for cerebral aneurysms in 2D digital subtraction angiography - Satyananda Kashyap; Hakan Bulu; Ashutosh Jadhav; Ronak Dholakia; Amon Y. Liu; Hussain Rangwala; William R. Patterson; Mehdi Moradi (Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022, 2022)

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 - Ismini Lourentzou; Joy T. Wu; Satyananda Kashyap; Alexandros Karargyris; Leo Anthony Celi; Ban Kawas; Sachin S. Talathi (PMLR, 2022)

Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms - Ashutosh Jadhav; Satyananda Kashyap; Hakan Bulu; Ronak Dholakia; Amon Y. Liu; Tanveer F. Syeda-Mahmood; William R. Patterson; Hussain Rangwala; Mehdi Moradi (CoRR, 2022)

Channel Scaling: A Scale-And-Select Approach For Transfer Learning - Ken C. L. Wong; Satyananda Kashyap; Mehdi Moradi (18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021, 2021)

Self-training with improved regularization for sample-efficient chest x-ray classification - Deepta Rajan; Jayaraman J. Thiagarajan; Alexandros Karargyris; Satyananda Kashyap (Medical Imaging 2021: Computer-Aided Diagnosis, Online, February 15-20, 2021, 2021)

Chest ImaGenome Dataset for Clinical Reasoning - 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 (Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual, 2021)

Channel Scaling: A Scale-and-Select Approach for Transfer Learning - Ken C. L. Wong; Satyananda Kashyap; Mehdi Moradi (CoRR, 2021)

Chest ImaGenome Dataset for Clinical Reasoning - 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 (CoRR, 2021)

Basis Scaling and Double Pruning for Efficient Transfer Learning - Ken C. L. Wong; Satyananda Kashyap; Mehdi Moradi (CoRR, 2021)

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation - 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; et al. (CoRR, 2021)

Towards Visual Dialog for Radiology - 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 (Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, BioNLP 2020, Online, July 9, 2020, 2020)

Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning - Satyananda Kashyap; Alexandros Karargyris; Joy T. Wu; Yaniv Gur; Arjun Sharma; Ken C. L. Wong; Mehdi Moradi; Tanveer F. Syeda-Mahmood (17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020, 2020)

Chest X-Ray Report Generation Through Fine-Grained Label Learning - 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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part II, 2020)

Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets - Sandesh Ghimire; Satyananda Kashyap; Joy T. Wu; Alexandros Karargyris; Mehdi Moradi (Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings, 2020)

Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification - Deepta Rajan; Jayaraman J. Thiagarajan; Alexandros Karargyris; Satyananda Kashyap (CoRR, 2020)

Chest X-ray Report Generation through Fine-Grained Label Learning - 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 (CoRR, 2020)

Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning - Satyananda Kashyap; Alexandros Karargyris; Joy T. Wu; Yaniv Gur; Arjun Sharma; Ken C. L. Wong; Mehdi Moradi; Tanveer F. Syeda-Mahmood (CoRR, 2020)

Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets - Sandesh Ghimire; Satyananda Kashyap; Joy T. Wu; Alexandros Karargyris; Mehdi Moradi (CoRR, 2020)

Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development - 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 (CoRR, 2020)

Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation - Jayaraman J. Thiagarajan; Satyananda Kashyap; Alexandros Karargyris (18th IEEE International Conference On Machine Learning And Applications, ICMLA 2019, Boca Raton, FL, USA, December 16-19, 2019, 2019)

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays - 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 (16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019, 2019)

Age prediction using a large chest x-ray dataset - Alexandros Karargyris; Satyananda Kashyap; Joy T. Wu; Arjun Sharma; Mehdi Moradi; Tanveer Fathima Syeda-Mahmood (Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, California, United States, 16-21 February 2019, 2019)

Artificial intelligence for point of care radiograph quality assessment - Satyananda Kashyap; Mehdi Moradi; Alexandros Karargyris; Joy T. Wu; Michael Morris; Babak Saboury; Eliot L. Siegel; Tanveer F. Syeda-Mahmood (Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, California, United States, 16-21 February 2019, 2019)

Visual Dialog for Radiology: Data Curation and FirstSteps - 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 (Visually Grounded Interaction and Language (ViGIL), NeurIPS 2019 Workshop, Vancouver, Canada, December 13, 2019, 2019)

Learning-Based Cost Functions for 3D and 4D Multi-Surface Multi-Object Segmentation of Knee MRI: Data from the Osteoarthritis Initiative - Satyananda Kashyap; Honghai Zhang; Karan Rao; Milan Sonka (CoRR, 2019)

Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative - Satyananda Kashyap; Ipek Oguz; Honghai Zhang; Milan Sonka (CoRR, 2019)

Just-Enough Interaction Approach to Knee MRI Segmentation: Data from the Osteoarthritis Initiative - Satyananda Kashyap; Honghai Zhang; Milan Sonka (CoRR, 2019)

Age prediction using a large chest X-ray dataset - Alexandros Karargyris; Satyananda Kashyap; Joy T. Wu; Arjun Sharma; Mehdi Moradi; Tanveer F. Syeda-Mahmood (CoRR, 2019)

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays - 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 (CoRR, 2019)

Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation - Jayaraman J. Thiagarajan; Satyananda Kashyap; Alexandros Karargyris (CoRR, 2019)

Learning-Based Cost Functions for 3-D and 4-D Multi-Surface Multi-Object Segmentation of Knee MRI: Data From the Osteoarthritis Initiative - Satyananda Kashyap; Honghai Zhang; Karan Rao; Milan Sonka (IEEE Trans. Medical Imaging, 2018)

Machine learning in a graph framework for subcortical segmentation - Zhihui Guo; Satyananda Kashyap; Milan Sonka; Ipek Oguz (Medical Imaging 2017: Image Processing, Orlando, Florida, United States, 11-16 February 2017, 2017)

Statistical shape analysis of automatically segmented femur bones: Data from the osteoarthritis initiative - Satyananda Kashyap; Ipek Oguz; Milan Sonka (13th IEEE International Symposium on Biomedical Imaging, ISBI 2016, Prague, Czech Republic, April 13-16, 2016, 2016)

Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative - Satyananda Kashyap; Ipek Oguz; Honghai Zhang; Milan Sonka (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II, 2016)

Globally Optimal Label Fusion with Shape Priors - Ipek Oguz; Satyananda Kashyap; Hongzhi Wang; Paul A. Yushkevich; Milan Sonka (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II, 2016)

Automated analysis of cartilage morphology - Satyananda Kashyap; Yin Yin; Milan Sonka (10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, 7-11 April, 2013, San Francisco, CA, USA, Proceedings, 2013)

A fast & accurate non-iterative algorithm for regularized non-Cartesian MRI - Satyananda Kashyap; Mathews Jacob (Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Rotterdam, The Netherlands, 14-17 April, 2010, 2010)