| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2132 | 2018 |
| Medical transformer: Gated axial-attention for medical image segmentation JMJ Valanarasu, P Oza, I Hacihaliloglu, VM Patel MICCAI 2021 - International Conference on Medical Image Computing and …, 2021 | 1282 | 2021 |
| UNeXt: MLP-based Rapid Medical Image Segmentation Network JMJ Valanarasu, VM Patel MICCAI 2022- International Conference on Medical Image Computing and …, 2022 | 630 | 2022 |
| Transweather: Transformer-based restoration of images degraded by adverse weather conditions JMJ Valanarasu, R Yasarla, VM Patel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 333 | 2022 |
| Kiu-net: Overcomplete convolutional architectures for biomedical image and volumetric segmentation JMJ Valanarasu, VA Sindagi, I Hacihaliloglu, VM Patel IEEE Transactions on Medical Imaging, 2020 | 207 | 2020 |
| Kiu-net: Towards accurate segmentation of biomedical images using over-complete representations JMJ Valanarasu, VA Sindagi, I Hacihaliloglu, VM Patel MICCAI 2020 - International Conference on Medical Image Computing and …, 2020 | 202 | 2020 |
| Image fusion transformer V Vs, JMJ Valanarasu, P Oza, VM Patel 2022 IEEE International conference on image processing (ICIP), 3566-3570, 2022 | 160 | 2022 |
| Brain tumor segmentation and survival prediction using 3D attention UNet M Islam, VS Vibashan, JMJ Valanarasu, N Wijethilake, U Utkarsh, H Ren MICCAI 2019 - Brainlesion Workshop, 262-272, 2019 | 154 | 2019 |
| Ambiguous medical image segmentation using diffusion models A Rahman, JMJ Valanarasu, I Hacihaliloglu, VM Patel Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 130 | 2023 |
| Investigation on the effect of Womersley number, ECG and PPG features for cuff less blood pressure estimation using machine learning G Thambiraj, U Gandhi, U Mangalanathan, VJM Jose, M Anand Biomedical Signal Processing and Control 60, 101942, 2020 | 90 | 2020 |
| Clip goes 3d: Leveraging prompt tuning for language grounded 3d recognition D Hegde*, JMJ Valanarasu*, V Patel Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 62 | 2023 |
| Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction WGC Bandara, JMJ Valanarasu, VM Patel IEEE Transactions on Geoscience and Remote Sensing, 2021 | 58 | 2021 |
| Chexagent: Towards a foundation model for chest x-ray interpretation Z Chen, M Varma, JB Delbrouck, M Paschali, L Blankemeier, D Van Veen, ... arXiv preprint arXiv:2401.12208, 2024 | 53 | 2024 |
| Transformer-based SAR Image Despeckling MV Perera, WGC Bandara, JMJ Valanarasu, VM Patel 2022 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2022 | 49 | 2022 |
| SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving WGC Bandara, JMJ Valanarasu, VM Patel IEEE international conference on robotics and automation (ICRA) 2022, 2021 | 41 | 2021 |
| Over-and-Under Complete Convolutional RNN for MRI Reconstruction P Guo, JMJ Valanarasu, P Wang, J Zhou, S Jiang, VM Patel MICCAI 2021 - International Conference on Medical Image Computing and …, 2021 | 41 | 2021 |
| 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 | 36 | 2020 |
| Glioma prognosis: segmentation of the tumor and survival prediction using shape, geometric and clinical information M Islam, JMJ Valanarasu, H Ren MICCAI 2018 - Brainlesion Workshop, 142-153, 2018 | 35 | 2018 |
| Exploring overcomplete representations for single image deraining using cnns R Yasarla*, JMJ Valanarasu*, VM Patel IEEE Journal of Selected Topics in Signal Processing 15 (2), 229-239, 2020 | 34 | 2020 |
| On-the-fly test-time adaptation for medical image segmentation JMJ Valanarasu, P Guo, VS Vibashan, VM Patel Medical Imaging with Deep Learning, 586-598, 2024 | 27 | 2024 |
Vishal M. PatelAssociate Professor, ECE, Johns Hopkins UniversityVerified email at jhu.edu
