| 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 | 234 | 2016 |
| 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 | 219 | 2017 |
| Deep Learning and Data Labeling for Medical Applications H Ravishankar, P Sudhakar, R Venkataramani, S Thiruvenkadam, ... Cham: Springer, 188-196, 2016 | 193* | 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 | 147 | 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 | 28 | 2017 |
| 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 | 26 | 2019 |
| Double sparsity: Towards blind estimation of multiple channels P Sudhakar, S Arberet, R Gribonval International Conference on Latent Variable Analysis and Signal Separation …, 2010 | 15 | 2010 |
| 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 | 14 | 2022 |
| System and method for ultrasound navigation PK Annangi, CK Aladahalli, KS Shriram, P Sudhakar US Patent App. 16/118,466, 2020 | 13 | 2020 |
| 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 | 13 | 2015 |
| 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 |
| Multi-task feature selection neural networks H Ravishankar, BR Sundar, P Sudhakar, R Venkataramani, V Vaidya US Patent 11,232,344, 2022 | 7 | 2022 |
| Information Geometric Approaches for Patient-Specific Test-Time Adaptation of Deep Learning Models for Semantic Segmentation H Ravishankar, N Paluru, P Sudhakar, PK Yalavarthy IEEE Transactions on Medical Imaging, 2025 | 6 | 2025 |
| 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 |
| Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond D Anand, R Patil, U Agrawal, V Rahul, H Ravishankar, P Sudhakar 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 4 | 2022 |
| System and method for optimization of deep learning architecture S Thiruvenkadam, SR Ranjan, VP Vaidya, H Ravishankar, ... US Patent 11,017,269, 2021 | 4 | 2021 |
| 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 |
| Task-Driven Prompt Evolution for Foundation Models R Sathish, R Venkataramani, KS Shriram, P Sudhakar International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
| 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 | 3 | 2021 |
| 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 | 3 | 2014 |
Hariharan RavishankarGE HealthcareVerified email at ge.com
