Prasad Sudhakar

29 papers A 1B 1Misc 3Journal 10Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep Attention-guided Adaptive Subsampling.
CoRR
Sharath M. Shankaranarayana, Soumava Kumar Roy, Prasad Sudhakar, Chandan Aladahalli
2025 — conf
Inference Time Adaptation for Improved Retinal Disease Diagnosis Using Optical Coherence Tomography Images.
ISBI
Hariharan Ravishankar, Naveen Paluru, Prasad Sudhakar, Phaneendra K. Yalavarthy
2025 J jnl
Information Geometric Approaches for Patient-Specific Test-Time Adaptation of Deep Learning Models for Semantic Segmentation.
IEEE Trans. Medical Imaging
Hariharan Ravishankar, Naveen Paluru, Prasad Sudhakar, Phaneendra K. Yalavarthy
2025 — conf
UATTA-QSM: Uncertainty-Aware Test Time Adaptation for Improved Quantitative Susceptibility Mapping.
ISBI
Hariharan Ravishankar, Naveen Paluru, Prasad Sudhakar, Phaneendra K. Yalavarthy
2024 J jnl
Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks.
CoRR
Deepa Anand, Bipul Das, Vyshnav Dangeti, Antony Jerald, Rakesh Mullick, Uday Patil, Pakhi Sharma, Prasad Sudhakar
2024 — conf
TTA-FM: Patient-Specific Test-Time Adaptation Using Foundation Models for Improved Prostate Segmentation in Magnetic Resonance Images.
ISBI
Hariharan Ravishankar, Prasad Sudhakar, Phaneendra K. Yalavarthy
2023 — conf
Task-Driven Prompt Evolution for Foundation Models.
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar
2023 J jnl
Task-driven Prompt Evolution for Foundation Models.
CoRR
Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar
2022 — conf
Benchmarking Self-Supervised Representation Learning from a million Cardiac Ultrasound images.
EMBC
Deepa Anand, Pavan Annangi, Prasad Sudhakar
2022 — conf
From 2D Ultrasound to Patient-Specific 3D Surface Models for Interventional Guidance.
EMBC
Pavan Annangi, Prasad Sudhakar, Mike Washburn
2022 — conf
Stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty.
UNSURE@MICCAI
Hariharan Ravishankar, Rohan Patil, Deepa Anand, Vanika Singhal, Utkarsh Agrawal, Rahul Venkataramani, Prasad Sudhakar
2022 — conf
Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond.
ISBI
Deepa Anand, Rohan Patil, Utkarsh Agrawal, Rahul Venkataramani, Hariharan Ravishankar, Prasad Sudhakar
2021 B conf
Enhancing Z-resolution in CT volumes with deep residual learning.
Image Processing
Utkarsh Agrawal, Aditya Hegde, Rajesh Langoju, Prasad Sudhakar, Bhushan D. Patil, Sundar R. K., Yasuhiro Imai, Risa Shigemasa, Omi Yasuo, Bipul Das
2019 — conf
Feature Transformers: Privacy Preserving Lifelong Learners for Medical Imaging.
MICCAI (4)
Hariharan Ravishankar, Rahul Venkataramani, Saihareesh Anamandra, Prasad Sudhakar, Pavan Annangi
2017 — conf
Learning and Incorporating Shape Models for Semantic Segmentation.
MICCAI (1)
Hariharan Ravishankar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Vivek Vaidya
2017 J jnl
Understanding the Mechanisms of Deep Transfer Learning for Medical Images.
CoRR
Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Pavan Annangi, Narayanan Babu, Vivek Vaidya
2016 J jnl
Filter sharing: Efficient learning of parameters for volumetric convolutions.
CoRR
Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Hariharan Ravishankar, Vivek Vaidya
2016 — conf
Understanding the Mechanisms of Deep Transfer Learning for Medical Images.
LABELS/DLMIA@MICCAI
Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Pavan Annangi, Narayanan Babu, Vivek Vaidya
2015 J jnl
Compressive Imaging and Characterization of Sparse Light Deflection Maps.
SIAM J. Imaging Sci.
Prasad Sudhakar, Laurent Jacques, Xavier Dubois, Philippe Antoine, Luc Joannes
2014 Misc conf
A sparse smoothing approach for Gaussian Mixture Model based Acoustic-to-Articulatory Inversion.
ICASSP
Prasad Sudhakar, Laurent Jacques, Prasanta Kumar Ghosh
2014 J jnl
Compressive Imaging and Characterization of Sparse Light Deflection Maps.
CoRR
Prasad Sudhakar, Laurent Jacques, Xavier Dubois, Philippe Antoine, Luc Joannes
2014 J jnl
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR
Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic
2014 A conf
Sparse smoothing of articulatory features from Gaussian mixture model based acoustic-to-articulatory inversion: benefit to speech recognition.
INTERSPEECH
Prasad Sudhakar, Prasanta Kumar Ghosh
2013 Misc conf
Compressive Schlieren deflectometry.
ICASSP
Prasad Sudhakar, Laurent Jacques, Xavier Dubois, Philippe Antoine, Luc Joannes
2012 J jnl
Compressive Schlieren Deflectometry
CoRR
Prasad Sudhakar, Laurent Jacques, Xavier Dubois, Philippe Antoine, Luc Joannes
2012 — conf
Some Uniqueness Results in Sparse Convolutive Source Separation.
LVA/ICA
Alexis Benichoux, Prasad Sudhakar, Frédéric Bimbot, Rémi Gribonval
2011 Misc conf
A wideband doubly-sparse approach for MITO sparse filter estimation.
ICASSP
Simon Arberet, Prasad Sudhakar, Rémi Gribonval
2010 — conf
Double Sparsity: Towards Blind Estimation of Multiple Channels.
LVA/ICA
Prasad Sudhakar, Simon Arberet, Rémi Gribonval
2009 — conf
A Sparsity-Based Method to Solve Permutation Indeterminacy in Frequency-Domain Convolutive Blind Source Separation.
ICA
Prasad Sudhakar, Rémi Gribonval