Prasad Sudhakar

According to our database, Prasad Sudhakar authored at least 19 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Task-Driven Prompt Evolution for Foundation Models.

Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar

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.

Hariharan Ravishankar, Rohan Patil, Deepa Anand, Vanika Singhal, Utkarsh Agrawal, Rahul Venkataramani, Prasad Sudhakar

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.

Deepa Anand, Rohan Patil, Utkarsh Agrawal, Rahul Venkataramani, Hariharan Ravishankar, Prasad Sudhakar

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

From 2D Ultrasound to Patient-Specific 3D Surface Models for Interventional Guidance.

Pavan Annangi, Prasad Sudhakar, Mike Washburn

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.

Deepa Anand, Pavan Annangi, Prasad Sudhakar

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.

Utkarsh Agrawal, Aditya Hegde, Rajesh Langoju, Prasad Sudhakar, Bhushan D. Patil, Sundar R. K., Yasuhiro Imai, Risa Shigemasa, Omi Yasuo, Bipul Das

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2019

Feature Transformers: Privacy Preserving Lifelong Learners for Medical Imaging.

Hariharan Ravishankar, Rahul Venkataramani, Saihareesh Anamandra, Prasad Sudhakar, Pavan Annangi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017

Learning and Incorporating Shape Models for Semantic Segmentation.

Hariharan Ravishankar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Vivek Vaidya

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Filter sharing: Efficient learning of parameters for volumetric convolutions.

Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Hariharan Ravishankar, Vivek Vaidya

CoRR, 2016

Understanding the Mechanisms of Deep Transfer Learning for Medical Images.

Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Pavan Annangi, Narayanan Babu, Vivek Vaidya

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

2015

Compressive Imaging and Characterization of Sparse Light Deflection Maps.

Prasad Sudhakar, Laurent Jacques, Xavier Dubois, Philippe Antoine, Luc Joannes

SIAM J. Imaging Sci., 2015

2014

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

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

CoRR, 2014

Sparse smoothing of articulatory features from Gaussian mixture model based acoustic-to-articulatory inversion: benefit to speech recognition.

Prasad Sudhakar, Prasanta Kumar Ghosh

Proceedings of the INTERSPEECH 2014, 2014

A sparse smoothing approach for Gaussian Mixture Model based Acoustic-to-Articulatory Inversion.

Prasad Sudhakar, Laurent Jacques, Prasanta Kumar Ghosh

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Compressive Schlieren deflectometry.

Prasad Sudhakar, Laurent Jacques, Xavier Dubois, Philippe Antoine, Luc Joannes

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Some Uniqueness Results in Sparse Convolutive Source Separation.

Alexis Benichoux, Prasad Sudhakar, Frédéric Bimbot, Rémi Gribonval

Proceedings of the Latent Variable Analysis and Signal Separation, 2012

2011

A wideband doubly-sparse approach for MITO sparse filter estimation.

Simon Arberet, Prasad Sudhakar, Rémi Gribonval

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Double Sparsity: Towards Blind Estimation of Multiple Channels.

Prasad Sudhakar, Simon Arberet, Rémi Gribonval

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.

Prasad Sudhakar, Rémi Gribonval

Proceedings of the Independent Component Analysis and Signal Separation, 2009