Prasad Sudhakar

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Vivek VaidyaConcertAIVerified email at concertai.com
Sheshadri ThiruvenkadamSenior Principal Scientist, ConcertAIVerified email at concertai.com
Pavan AnnangiGEVerified email at ge.com
Rémi GribonvalInria & ENS de LyonVerified email at ens-lyon.fr
Laurent JacquesProfessor and Senior Research Associate FNRS, ISPGroup, ICTEAM, UCLouvain, BelgiumVerified email at uclouvain.be
K. R. RamakrishnanIndian Institute of ScienceVerified email at ee.iisc.ernet.in
simon arberetSiemens HealthineersVerified email at siemens-healthineers.com
Dr. Sai Hareesh AnamandraResearch Expert, ICN, SAP Labs IndiaVerified email at sap.com
Prasanta Kumar GhoshAssociate Professor, Indian Institute of Science (IISc), BangaloreVerified email at iisc.ac.in
Alexis BenichouxVerified email at irisa.fr
Rajesh LangojuEPFLVerified email at ge.com
Bhushan D. PatilGE HealthcareVerified email at ee.iitb.ac.in
Frédéric BimbotDirecteur de Recherche CNRS, Equipe PANAMA (IRISA, INRIA, Rennes 1 University)Verified email at irisa.fr
Adriana GonzálezImage Processing Engineer. PhD Graduate in Engineering SciencesVerified email at uclouvain.be
Sohan RanjanPhilips ResearchVerified email at philips.com
Aditya HegdeJohns Hopkins UniversityVerified email at cs.jhu.edu
Pierre VandergheynstProfessor of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
Aniruddha AdigaResearch Scientist, Biocomplexity Institute and Initiative, UVAVerified email at virginia.edu
Chandra Sekhar SeelamantulaIndian Institute of Science, BangaloreVerified email at ee.iisc.ernet.in
Satish MulletiDepartment of Electrical Engineering, IIT Bombay, Mumbai, IndiaVerified email at iitb.ac.in

Prasad Sudhakar

Other namesPrasad Sudhakara Murthy, Prasad S Murthy

Staff Scientist, GE Healthcare

Verified email at ge.com - Homepage

Signal Processing Machine Learning Inverse Problems


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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	171	2017
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	170	2016
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	137	2006
Understanding the Mechanisms of Deep Transfer Learning for Medical Images H Ravishankar, P Sudhakar, R Venkataramani, S Thiruvenkadam, ... arXiv preprint arXiv:1704.06040, 2017	25	2017
Double sparsity: Towards blind estimation of multiple channels P Sudhakar, S Arberet, R Gribonval International Conference on Latent Variable Analysis and Signal Separation …, 2010	16	2010
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	12	2015
Deep Learning and Data Labeling for Medical Applications H Ravishankar, P Sudhakar, R Venkataramani, S Thiruvenkadam, ... Cham: Springer, 188-196, 2016	11	2016
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	11	2009
Feature Transformers: Privacy Preserving Lifelong Learners for Medical Imaging H Ravishankar, R Venkataramani, S Anamandra, P Sudhakar, P Annangi International Conference on Medical Image Computing and Computer-Assisted …, 2019	6	2019
Compressive schlieren deflectometry P Sudhakar, L Jacques, X Dubois, P Antoine, L Joannes 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013	5	2013
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	4	2014
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, 1159629, 2021	3	2021
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	2	2021
Method and system for creating and utilizing a patient-specific organ model from ultrasound image data P Sudhakar, JD Lanning, PK Annangi, M Washburn US Patent 10,952,705, 2021	2	2021
Self-supervised learning for CT deconvolution P Sudhakar, R Langoju, U Agrawal, BD Patil, A Narayanan, V Chaugule, ... Medical Imaging 2021: Physics of Medical Imaging 11595, 115953Z, 2021	2	2021
System and method for ultrasound navigation PK Annangi, CK Aladahalli, KS Shriram, P Sudhakar US Patent App. 16/118,466, 2020	2	2020
Filter sharing: Efficient learning of parameters for volumetric convolutions R Venkataramani, S Thiruvenkadam, P Sudhakar, H Ravishankar, ... arXiv preprint arXiv:1612.02575, 2016	2	2016
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	2	2014
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	2	2013
Some uniqueness results in sparse convolutive source separation A Benichoux, P Sudhakar, F Bimbot, R Gribonval Latent Variable Analysis and Signal Separation, 196-203, 2012	2	2012

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