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Prasad S Murthy
Prasad S Murthy
Other namesPrasad Sudhakar, Prasad Sudhakara Murthy
Senior Staff AI Scientist, GE HealthCare
Verified email at gehealthcare.com - Homepage
Title
Cited by
Cited by
Year
Understanding the Mechanisms of Deep Transfer Learning for Medical Images
H Ravishankar, P Sudhakar, R Venkataramani, S Thiruvenkadam, ...
International Workshop on Large-Scale Annotation of Biomedical Data and …, 2016
2102016
Learning and Incorporating Shape Models for Semantic Segmentation
H Ravishankar, R Venkataramani, S Thiruvenkadam, P Sudhakar, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
1932017
On resampling detection and its application to detect image tampering
S Prasad, KR Ramakrishnan
2006 IEEE International Conference on Multimedia and Expo, 1325-1328, 2006
1452006
Understanding the Mechanisms of Deep Transfer Learning for Medical Images
H Ravishankar, P Sudhakar, R Venkataramani, S Thiruvenkadam, ...
arXiv preprint arXiv:1704.06040, 2017
312017
Double sparsity: Towards blind estimation of multiple channels
P Sudhakar, S Arberet, R Gribonval
International Conference on Latent Variable Analysis and Signal Separation …, 2010
152010
Deep Learning and Data Labeling for Medical Applications
H Ravishankar, P Sudhakar, R Venkataramani, S Thiruvenkadam, ...
Cham: Springer, 188-196, 2016
142016
Feature transformers: privacy preserving lifelong learners for medical imaging
H Ravishankar, R Venkataramani, S Anamandra, P Sudhakar, P Annangi
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
122019
Compressive imaging and characterization of sparse light deflection maps
P Sudhakar, L Jacques, X Dubois, P Antoine, L Joannes
SIAM Journal on Imaging Sciences 8 (3), 1824-1856, 2015
122015
A sparsity-based method to solve permutation indeterminacy in frequency-domain convolutive blind source separation
P Sudhakar, R Gribonval
International Conference on Independent Component Analysis and Signal …, 2009
112009
Benchmarking Self-Supervised Representation Learning from a million Cardiac Ultrasound images
D Anand, P Annangi, P Sudhakar
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
72022
Compressive schlieren deflectometry
P Sudhakar, L Jacques, X Dubois, P Antoine, L Joannes
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
52013
Multi-task feature selection neural networks
H Ravishankar, BR Sundar, P Sudhakar, R Venkataramani, V Vaidya
US Patent 11,232,344, 2022
42022
System and method for optimization of deep learning architecture
S Thiruvenkadam, SR Ranjan, VP Vaidya, H Ravishankar, ...
US Patent 11,017,269, 2021
42021
A sparse smoothing approach for Gaussian mixture model based acoustic-to-articulatory inversion
P Sudhakar, L Jacques, PK Ghosh
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
42014
System and method for image segmentation using a joint deep learning model
H Ravishankar, VP Vaidya, S Thiruvenkadam, R Venkataramani, ...
US Patent 10,997,724, 2021
32021
Enhancing Z-resolution in CT volumes with deep residual learning
U Agrawal, A Hegde, R Langoju, P Sudhakar, BD Patil, RK Sundar, Y Imai, ...
Medical Imaging 2021: Image Processing 11596, 612-619, 2021
32021
System and method for ultrasound navigation
PK Annangi, CK Aladahalli, KS Shriram, P Sudhakar
US Patent App. 16/118,466, 2020
32020
Sparse smoothing of articulatory features from Gaussian mixture model based acoustic-to-articulatory inversion: benefit to speech recognition.
P Sudhakar, PK Ghosh
INTERSPEECH, 169-173, 2014
32014
Filter sharing: Efficient learning of parameters for volumetric convolutions
R Venkataramani, S Thiruvenkadam, P Sudhakar, H Ravishankar, ...
arXiv preprint arXiv:1612.02575, 2016
22016
Well-posedness of the permutation problem in sparse filter estimation with ℓp minimization
A Benichoux, P Sudhakar, F Bimbot, R Gribonval
Applied and Computational Harmonic Analysis 35 (3), 394-406, 2013
22013
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