Prasad Sudhakar

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 13

Top Topics

Semantic Segmentation

Privacy Preserving

Efficient Learning

Top Venues

LABELS/DLMIA@MICCAI

Publications

Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar
Task-driven Prompt Evolution for Foundation Models. CoRR (2023)
Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar
Task-Driven Prompt Evolution for Foundation Models. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Deepa Anand, Pavan Annangi, Prasad Sudhakar
Benchmarking Self-Supervised Representation Learning from a million Cardiac Ultrasound images. EMBC (2022)
Pavan Annangi, Prasad Sudhakar, Mike Washburn
From 2D Ultrasound to Patient-Specific 3D Surface Models for Interventional Guidance. EMBC (2022)
Deepa Anand, Rohan Patil, Utkarsh Agrawal, Rahul Venkataramani, Hariharan Ravishankar, Prasad Sudhakar
Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond. ISBI (2022)
Hariharan Ravishankar, Rohan Patil, Deepa Anand, Vanika Singhal, Utkarsh Agrawal, Rahul Venkataramani, Prasad Sudhakar
Stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty. UNSURE@MICCAI (2022)
Utkarsh Agrawal, Aditya Hegde, Rajesh Langoju, Prasad Sudhakar, Bhushan D. Patil, Sundar R. K., Yasuhiro Imai, Risa Shigemasa, Omi Yasuo, Bipul Das
Enhancing Z-resolution in CT volumes with deep residual learning. Medical Imaging: Image Processing (2021)
Hariharan Ravishankar, Rahul Venkataramani, Saihareesh Anamandra, Prasad Sudhakar, Pavan Annangi
Feature Transformers: Privacy Preserving Lifelong Learners for Medical Imaging. MICCAI (4) (2019)
Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Pavan Annangi, Narayanan Babu, Vivek Vaidya
Understanding the Mechanisms of Deep Transfer Learning for Medical Images. CoRR (2017)
Hariharan Ravishankar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Vivek Vaidya
Learning and Incorporating Shape Models for Semantic Segmentation. MICCAI (1) (2017)
Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Hariharan Ravishankar, Vivek Vaidya
Filter sharing: Efficient learning of parameters for volumetric convolutions. CoRR (2016)
Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Pavan Annangi, Narayanan Babu, Vivek Vaidya
Understanding the Mechanisms of Deep Transfer Learning for Medical Images. LABELS/DLMIA@MICCAI (2016)
Prasad Sudhakar, Laurent Jacques, Xavier Dubois, Philippe Antoine, Luc Joannes
Compressive Imaging and Characterization of Sparse Light Deflection Maps. SIAM J. Imaging Sci. 8 (3) (2015)
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
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR (2014)
Prasad Sudhakar, Laurent Jacques, Prasanta Kumar Ghosh
A sparse smoothing approach for Gaussian Mixture Model based Acoustic-to-Articulatory Inversion. ICASSP (2014)
Prasad Sudhakar, Prasanta Kumar Ghosh
Sparse smoothing of articulatory features from Gaussian mixture model based acoustic-to-articulatory inversion: benefit to speech recognition. INTERSPEECH (2014)
Prasad Sudhakar, Laurent Jacques, Xavier Dubois, Philippe Antoine, Luc Joannes
Compressive Imaging and Characterization of Sparse Light Deflection Maps. CoRR (2014)
Prasad Sudhakar, Laurent Jacques, Xavier Dubois, Philippe Antoine, Luc Joannes
Compressive Schlieren deflectometry. ICASSP (2013)
Alexis Benichoux, Prasad Sudhakar, Frédéric Bimbot, Rémi Gribonval
Some Uniqueness Results in Sparse Convolutive Source Separation. LVA/ICA (2012)
Prasad Sudhakar, Laurent Jacques, Xavier Dubois, Philippe Antoine, Luc Joannes
Compressive Schlieren Deflectometry CoRR (2012)
Simon Arberet, Prasad Sudhakar, Rémi Gribonval
A wideband doubly-sparse approach for MITO sparse filter estimation. ICASSP (2011)
Prasad Sudhakar, Simon Arberet, Rémi Gribonval
Double Sparsity: Towards Blind Estimation of Multiple Channels. LVA/ICA (2010)
Prasad Sudhakar, Rémi Gribonval
A Sparsity-Based Method to Solve Permutation Indeterminacy in Frequency-Domain Convolutive Blind Source Separation. ICA (2009)