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Jeya Maria Jose V.
Jeya Maria Jose V.
Other namesVJM Jose, V Jose, JMJ Valanarasu, Jeya Maria Jose
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
18792018
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
10492021
UNeXt: MLP-based Rapid Medical Image Segmentation Network
JMJ Valanarasu, VM Patel
MICCAI 2022- International Conference on Medical Image Computing and …, 2022
4632022
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
2272022
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
1832020
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
1782020
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
1292019
Image fusion transformer
V Vs, JMJ Valanarasu, P Oza, VM Patel
2022 IEEE International conference on image processing (ICIP), 3566-3570, 2022
1172022
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
762020
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
702023
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
472021
Transformer-based SAR Image Despeckling
MV Perera, WGC Bandara, JMJ Valanarasu, VM Patel
2022 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2022
402022
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
402021
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
382023
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
342021
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
322020
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
322018
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
272020
Overcomplete Deep Subspace Clustering Networks
JMJ Valanarasu, VM Patel
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2020 …, 2021
212021
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
182024
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