Satyananda Kashyap
Orcid: 0000-0002-4624-5690
According to our database1,
Satyananda Kashyap
authored at least 33 papers
between 2010 and 2024.
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Bibliography
2024
Basis scaling and double pruning for efficient inference in network-based transfer learning.
Pattern Recognit. Lett., January, 2024
2023
Nat. Mac. Intell., July, 2023
Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study.
Proceedings of the Applications of Medical Artificial Intelligence, 2023
2022
CoRR, 2022
A new deep neural segmentation network for cerebral aneurysms in 2D digital subtraction angiography.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Proceedings of the AMIA 2022, 2022
2021
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.
CoRR, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Self-training with improved regularization for sample-efficient chest x-ray classification.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development.
CoRR, 2020
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020
2019
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays.
CoRR, 2019
Just-Enough Interaction Approach to Knee MRI Segmentation: Data from the Osteoarthritis Initiative.
CoRR, 2019
Learning-Based Cost Functions for 3D and 4D Multi-Surface Multi-Object Segmentation of Knee MRI: Data from the Osteoarthritis Initiative.
CoRR, 2019
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
2018
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, 2018
2017
Proceedings of the Medical Imaging 2017: Image Processing, 2017
2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Statistical shape analysis of automatically segmented femur bones: Data from the osteoarthritis initiative.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010