Satyananda Kashyap

Orcid: 0000-0002-4624-5690

According to our database1, Satyananda Kashyap authored at least 36 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Basis scaling and double pruning for efficient inference in network-based transfer learning.
Pattern Recognit. Lett., January, 2024

Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations.
CoRR, 2024

Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

2023
Federated benchmarking of medical artificial intelligence with MedPerf.
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

Discussion and recommendations from the 2023 "Gaze Meets ML" workshop breakout session.
Proceedings of the Gaze Meets Machine Learning Workshop, 2023

2022
Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms.
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


Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms.
Proceedings of the AMIA 2022, 2022

2021
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.
CoRR, 2021

Basis Scaling and Double Pruning for Efficient Transfer Learning.
CoRR, 2021

Chest ImaGenome Dataset for Clinical Reasoning.
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

Channel Scaling: A Scale-And-Select Approach For Transfer Learning.
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

Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification.
CoRR, 2020

Chest X-Ray Report Generation Through Fine-Grained Label Learning.
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

Towards Visual Dialog for Radiology.
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

Visual Dialog for Radiology: Data Curation and FirstSteps.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Artificial intelligence for point of care radiograph quality assessment.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Age prediction using a large chest x-ray dataset.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 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

Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation.
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
Machine learning in a graph framework for subcortical segmentation.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

2016
Globally Optimal Label Fusion with Shape Priors.
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
Automated analysis of cartilage morphology.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2010
A fast & accurate non-iterative algorithm for regularized non-Cartesian MRI.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010


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