Vishwa S. Parekh
According to our database1,
Vishwa S. Parekh
authored at least 25 papers
between 2014 and 2024.
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Bibliography
2024
Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations.
CoRR, 2024
Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations.
CoRR, 2024
2023
One Copy Is All You Need: Resource-Efficient Streaming of Medical Imaging Data at Scale.
CoRR, 2023
A framework for dynamically training and adapting deep reinforcement learning models to different, low-compute, and continuously changing radiology deployment environments.
CoRR, 2023
CoRR, 2023
High-Throughput AI Inference for Medical Image Classification and Segmentation using Intelligent Streaming.
CoRR, 2023
Text2Cohort: Democratizing the NCI Imaging Data Commons with Natural Language Cohort Discovery.
CoRR, 2023
Asynchronous Decentralized Federated Lifelong Learning for Landmark Localization in Medical Imaging.
CoRR, 2023
Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels.
CoRR, 2023
SegViz: A Federated Learning Framework for Medical Image Segmentation from Distributed Datasets with Different and Incomplete Annotations.
CoRR, 2023
Surgical Aggregation: A Federated Learning Framework for Harmonizing Distributed Datasets with Diverse Tasks.
CoRR, 2023
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging.
Proceedings of the Medical Imaging with Deep Learning, 2023
2022
From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning.
CoRR, 2022
2021
2020
Multitask radiological modality invariant landmark localization using deep reinforcement learning.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
2019
Multiparametric Deep Learning Tissue Signatures for Muscular Dystrophy: Preliminary Results.
CoRR, 2019
Multiparametric Deep Learning and Radiomics for Tumor Grading and Treatment Response Assessment of Brain Cancer: Preliminary Results.
CoRR, 2019
CoRR, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Advanced machine learning informatics modeling using clinical and radiological imaging metrics for characterizing breast tumor characteristics with the OncotypeDX gene array.
CoRR, 2018
Multiparametric Deep Learning Tissue Signatures for a Radiological Biomarker of Breast Cancer: Preliminary Results.
CoRR, 2018
2016
Unsupervised Non Linear Dimensionality Reduction Machine Learning methods applied to Multiparametric MRI in cerebral ischemia: Preliminary Results.
CoRR, 2016
A multidimensional data visualization and clustering method: Consensus similarity mapping.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2014
Unsupervised nonlinear dimensionality reduction machine learning methods applied to multiparametric MRI in cerebral ischemia: preliminary results.
Proceedings of the Medical Imaging 2014: Image Processing, 2014