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 | 211 | 2016 |
A region based active contour method for x-ray lung segmentation using prior shape and low level features P Annangi, S Thiruvenkadam, A Raja, H Xu, XW Sun, L Mao 2010 IEEE international symposium on biomedical imaging: from nano to macro …, 2010 | 120 | 2010 |
Deep Learning and Data Labeling for Medical Applications H Ravishankar, P Sudhakar, R Venkataramani, S Thiruvenkadam, ... Cham: Springer, 188-196, 2016 | 49 | 2016 |
System and method for identifying an optimal image frame for ultrasound imaging MD Gupta, KB Krishnan, PKV Annangi, X Liu, SK Pavani, N Subramanian, ... US Patent 8,891,881, 2014 | 41 | 2014 |
Understanding the mechanisms of deep transfer learning for medical images H Ravishankar, P Sudhakar, R Venkataramani, S Thiruvenkadam, ... arXiv preprint arXiv:1704.06040, 2017 | 31 | 2017 |
A multiresolution support vector machine based algorithm for pneumoconiosis detection from chest radiographs R Sundararajan, H Xu, P Annangi, X Tao, XW Sun, L Mao 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2010 | 23 | 2010 |
Method and system for measuring a volume from an ultrasound image SSB Sarojam, PKV Annangi, T Eshelman, AH Torp US Patent App. 14/928,241, 2017 | 17 | 2017 |
Computer aided detection for pneumoconiosis screening on digital chest radiographs H Xu, X Tao, R Sundararajan, W Yan, P Annangi, X Sun, L Mao Proceedings of the Third International Workshop on Pulmonary Image Analysis …, 2010 | 17 | 2010 |
Learning-based scan plane identification from fetal head ultrasound images X Liu, P Annangi, M Gupta, B Yu, D Padfield, J Banerjee, K Krishnan Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy 8320, 90-95, 2012 | 15 | 2012 |
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 | 13 | 2019 |
Automated kidney morphology measurements from ultrasound images using texture and edge analysis H Ravishankar, P Annangi SPIE Medical Imaging, 2016 | 10 | 2016 |
Quality metric for parasternal long axis b-mode echocardiograms SK Pavani, N Subramanian, MD Gupta, P Annangi, SC Govind, B Young International Conference on Medical Image Computing and Computer-Assisted …, 2012 | 10 | 2012 |
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 | 7 | 2022 |
System and methods for ultrasound image quality determination PKV Annangi, H Ravishankar, T Bjaastad, EN Steen US Patent 11,488,298, 2022 | 6 | 2022 |
An automated bladder volume measurement algorithm by pixel classification using random forests P Annangi, S Frigstad, SB Subin, A Torp, S Ramasubramaniam, S Varna 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 6 | 2016 |
Understanding the Mechanisms of Deep Transfer Learning for Medical Images. 2017 H Ravishankar, P Sudhakar, R Venkataramani, S Thiruvenkadam, ... ArXiv, 0 | 5 | |
AI assisted feedback system for transmit parameter optimization in Cardiac Ultrasound P Annangi, H Ravishankar, R Patil, B Tore, SA Aase, E Steen 2020 IEEE International Ultrasonics Symposium (IUS), 1-4, 2020 | 4 | 2020 |
Automated registration of 3d ultrasound and ct/mr images for liver H Haque, Y Omi, L Ruskó, P Annangi, O Kazuyuki 2016 IEEE International Ultrasonics Symposium (IUS), 1-4, 2016 | 4 | 2016 |
Automated posteriorwall thickness measurement from b-mode ultrasound P Annangi, N Subramanian, S Govind, G Swamy, B Young 2013 IEEE 10th International Symposium on Biomedical Imaging, 77-80, 2013 | 4 | 2013 |
System and methods for sequential scan parameter selection P Annangi, H Ravishankar, T Bjaastad, EN Steen, SA Aase, R Patil US Patent 11,308,609, 2022 | 3 | 2022 |