| SAR image despeckling using a convolutional neural network P Wang, H Zhang, VM Patel IEEE Signal Processing Letters 24 (12), 1763-1767, 2017 | 387 | 2017 |
| Multi-institutional collaborations for improving deep learning-based magnetic resonance image reconstruction using federated learning P Guo, P Wang, J Zhou, S Jiang, VM Patel Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 163 | 2021 |
| Lvit: language meets vision transformer in medical image segmentation Z Li, Y Li, Q Li, P Wang, D Guo, L Lu, D Jin, Y Zhang, Q Hong IEEE transactions on medical imaging, 2023 | 114 | 2023 |
| Simultaneous segmentation and classification of bone surfaces from ultrasound using a multi-feature guided CNN P Wang, VM Patel, I Hacihaliloglu Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 81 | 2018 |
| Generating high quality visible images from SAR images using CNNs P Wang, VM Patel 2018 IEEE Radar Conference (RadarConf18), 0570-0575, 2018 | 73 | 2018 |
| Generative adversarial network-based restoration of speckled SAR images P Wang, H Zhang, VM Patel 2017 IEEE 7th international workshop on computational advances in multi …, 2017 | 64 | 2017 |
| Pyramid convolutional RNN for MRI image reconstruction EZ Chen, P Wang, X Chen, T Chen, S Sun IEEE Transactions on Medical Imaging 41 (8), 2033-2047, 2022 | 42 | 2022 |
| Over-and-under complete convolutional rnn for mri reconstruction P Guo, JMJ Valanarasu, P Wang, J Zhou, S Jiang, VM Patel Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 41 | 2021 |
| Multi-site, multi-domain airway tree modeling M Zhang, Y Wu, H Zhang, Y Qin, H Zheng, W Tang, C Arnold, C Pei, P Yu, ... Medical image analysis 90, 102957, 2023 | 38* | 2023 |
| Learning to segment brain anatomy from 2D ultrasound with less data JMJ Valanarasu, R Yasarla, P Wang, I Hacihaliloglu, VM Patel IEEE Journal of Selected Topics in Signal Processing 14 (6), 1221-1234, 2020 | 34 | 2020 |
| Pyramid convolutional RNN for MRI reconstruction P Wang, EZ Chen, T Chen, VM Patel, S Sun arXiv preprint arXiv:1912.00543 2 (3), 2019 | 31 | 2019 |
| Automatic real-time CNN-based neonatal brain ventricles segmentation P Wang, NG Cuccolo, R Tyagi, I Hacihaliloglu, VM Patel 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 25 | 2018 |
| Anatomic and molecular MR image synthesis using confidence guided CNNs P Guo, P Wang, R Yasarla, J Zhou, VM Patel, S Jiang IEEE transactions on medical imaging 40 (10), 2832-2844, 2020 | 22 | 2020 |
| Robust real-time bone surfaces segmentation from ultrasound using a local phase tensor-guided CNN P Wang, M Vives, VM Patel, I Hacihaliloglu International Journal of Computer Assisted Radiology and Surgery 15 (7 …, 2020 | 21 | 2020 |
| Evaluation of the robustness of learned MR image reconstruction to systematic deviations between training and test data for the models from the fastMRI challenge PM Johnson, G Jeong, K Hammernik, J Schlemper, C Qin, J Duan, ... Machine Learning for Medical Image Reconstruction: 4th International …, 2021 | 17 | 2021 |
| Continual segment: Towards a single, unified and non-forgetting continual segmentation model of 143 whole-body organs in ct scans Z Ji, D Guo, P Wang, K Yan, L Lu, M Xu, Q Wang, J Ge, M Gao, X Ye, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 16 | 2023 |
| Lesion mask-based simultaneous synthesis of anatomic and molecular mr images using a gan P Guo, P Wang, J Zhou, VM Patel, S Jiang Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 14 | 2020 |
| Samconvex: Fast discrete optimization for ct registration using self-supervised anatomical embedding and correlation pyramid Z Li, L Tian, TCW Mok, X Bai, P Wang, J Ge, J Zhou, L Lu, X Ye, K Yan, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 10 | 2023 |
| Improving amide proton transfer-weighted mri reconstruction using t2-weighted images P Wang, P Guo, J Lu, J Zhou, S Jiang, VM Patel Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 10 | 2020 |
| Deep-learning-enabled brain hemodynamic mapping using resting-state fMRI X Hou, P Guo, P Wang, P Liu, DDM Lin, H Fan, Y Li, Z Wei, Z Lin, D Jiang, ... npj Digital Medicine 6 (1), 116, 2023 | 9 | 2023 |
Vishal M. PatelAssociate Professor, ECE, Johns Hopkins UniversityVerified email at jhu.edu
