Prasad Sudhakar

According to our database1, Prasad Sudhakar authored at least 20 papers between 2009 and 2024.

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Bibliography

2024
TTA-FM: Patient-Specific Test-Time Adaptation Using Foundation Models for Improved Prostate Segmentation in Magnetic Resonance Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Task-Driven Prompt Evolution for Foundation Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022
Stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

From 2D Ultrasound to Patient-Specific 3D Surface Models for Interventional Guidance.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Benchmarking Self-Supervised Representation Learning from a million Cardiac Ultrasound images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Enhancing Z-resolution in CT volumes with deep residual learning.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2019
Feature Transformers: Privacy Preserving Lifelong Learners for Medical Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017
Learning and Incorporating Shape Models for Semantic Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Filter sharing: Efficient learning of parameters for volumetric convolutions.
CoRR, 2016

Understanding the Mechanisms of Deep Transfer Learning for Medical Images.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

2015
Compressive Imaging and Characterization of Sparse Light Deflection Maps.
SIAM J. Imaging Sci., 2015

2014
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR, 2014

Sparse smoothing of articulatory features from Gaussian mixture model based acoustic-to-articulatory inversion: benefit to speech recognition.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

A sparse smoothing approach for Gaussian Mixture Model based Acoustic-to-Articulatory Inversion.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Compressive Schlieren deflectometry.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Some Uniqueness Results in Sparse Convolutive Source Separation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

2011
A wideband doubly-sparse approach for MITO sparse filter estimation.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Double Sparsity: Towards Blind Estimation of Multiple Channels.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009
A Sparsity-Based Method to Solve Permutation Indeterminacy in Frequency-Domain Convolutive Blind Source Separation.
Proceedings of the Independent Component Analysis and Signal Separation, 2009


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