| Understanding the mechanisms of deep transfer learning for medical images H Ravishankar, P Sudhakar, R Venkataramani, S Thiruvenkadam, ... Deep Learning and Data Labeling for Medical Applications: First …, 2016 | 240 | 2016 |
| Lung nodule detection in CT using 3D convolutional neural networks X Huang, J Shan, V Vaidya 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 220 | 2017 |
| 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 | 192 | 2017 |
| Systems and methods for interactive magnetic resonance imaging RD Darrow, VP Vaidya US Patent App. 13/913,846, 2014 | 168 | 2014 |
| Hybrid approach for automatic segmentation of fetal abdomen from ultrasound images using deep learning H Ravishankar, SM Prabhu, V Vaidya, N Singhal 2016 IEEE 13th international symposium on biomedical imaging (ISBI), 779-782, 2016 | 60 | 2016 |
| Deep Learning and Data Labeling for Medical Applications H Ravishankar, P Sudhakar, R Venkataramani, S Thiruvenkadam, ... Cham: Springer, 188-196, 2016 | 49 | 2016 |
| Assessment of computational visual attention models on medical images V Jampani, Ujjwal, J Sivaswamy, V Vaidya Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and …, 2012 | 40 | 2012 |
| Re-visiting the One-Time Pad N Nagaraj, V Vaidya, PG Vaidya arXiv preprint cs/0508079, 2005 | 29 | 2005 |
| Joint deep learning of foreground, background and shape for robust contextual segmentation H Ravishankar, S Thiruvenkadam, R Venkataramani, V Vaidya International Conference on Information Processing in Medical Imaging, 622-632, 2017 | 24 | 2017 |
| Improved mass detection in 3D automated breast ultrasound using region based features and multi-view information C Ye, V Vaidya, F Zhao 2014 36th Annual international conference of the IEEE engineering in …, 2014 | 24 | 2014 |
| System and method for mr image scan and analysis RD Darrow, TKF Foo, R Mullick, VP Vaidya US Patent App. 12/713,924, 2011 | 23 | 2011 |
| Systems and methods for landmark correction in magnetic resonance imaging RD Darrow, T Foo, M Fung, VP Vaidya, X Tao US Patent 8,885,904, 2014 | 20 | 2014 |
| System and method for efficient transmission of patient data VP Vaidya, HM Patel US Patent 10,445,465, 2019 | 19 | 2019 |
| Method and system for lesion detection in ultrasound images R Mullick, VP Vaidya, F Zhao, X Li, V Kamath, K Cao, S Biswas US Patent 9,277,902, 2016 | 19 | 2016 |
| System and method for automatic computation of mr imaging scan parameters VP Vaidya, X Tao, RD Darrow, R Mullick, MMK Fung, TKF Foo, K Suzuki, ... US Patent App. 12/726,509, 2011 | 18 | 2011 |
| Systems and methods for imaging workflow TKF Foo, RD Darrow, K Suzuki, SN Gupta, R Mullick, V Vaidya, X Tao, ... US Patent App. 13/253,853, 2013 | 14 | 2013 |
| Method and system for lesion detection in ultrasound images R Mullick, PKV Annangi, X Li, VP Kamath, F Zhao, VP Vaidya, S Biswas US Patent 10,238,368, 2019 | 8 | 2019 |
| Methods and systems for user defined distributed learning models for medical imaging H Ravishankar, V Vaidya, CF Perrey US Patent App. 15/828,936, 2018 | 8 | 2018 |
| Machine learning imputation of Eastern Cooperative Oncology Group performance status (ECOG PS) scores from data in CancerLinQ discovery. S Agrawal, B Narayanan, P Chandrashekaraiah, S Nandi, V Vaidya, ... Journal of Clinical Oncology 38 (15_suppl), e19318-e19318, 2020 | 6 | 2020 |
| System and method for automated landmarking VP Vaidya, RD Darrow, X Tao US Patent App. 13/690,815, 2014 | 6 | 2014 |
Thomas FooGE Global Research在 nycap.rr.com 的电子邮件经过验证
