Jeya Maria Jose Valanarasu

According to our database, Jeya Maria Jose Valanarasu authored at least 33 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Merlin: A Vision Language Foundation Model for 3D Computed Tomography.

Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari

CoRR, 2024

Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation.

Tanvi Deshpande, Eva Prakash, Elsie Gyang Ross, Curtis P. Langlotz, Andrew Y. Ng, Jeya Maria Jose Valanarasu

CoRR, 2024

Unlocking Robust Segmentation Across All Age Groups via Continual Learning.

Chih-Ying Liu, Jeya Maria Jose Valanarasu, Camila González, Curtis P. Langlotz, Andrew Y. Ng, Sergios Gatidis

CoRR, 2024

Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers.

Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal M. Patel

CoRR, 2024

CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation.

Zhihong Chen, Maya Varma, Jean-Benoit Delbrouck, Magdalini Paschali, Louis Blankemeier, Dave Van Veen, Jeya Maria Jose Valanarasu, Alaa Youssef, Joseph Paul Cohen, Eduardo Pontes Reis, Emily Bao Tsai, Andrew Johnston, Cameron Olsen, Tanishq Mathew Abraham, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz

CoRR, 2024

Self-Supervised Denoising Transformer with Gaussian Process.

Rajeev Yasarla, Jeya Maria Jose Valanarasu, Vishwanath S, Vishal M. Patel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

MaxFusion: Plug&Play Multi-modal Generation in Text-to-Image Diffusion Models.

Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal M. Patel

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training.

Jeya Maria Jose Valanarasu, Yucheng Tang, Dong Yang, Ziyue Xu, Can Zhao, Wenqi Li, Vishal M. Patel, Bennett A. Landman, Daguang Xu, Yufan He, Vishwesh Nath

CoRR, 2023

ReBotNet: Fast Real-time Video Enhancement.

Jeya Maria Jose Valanarasu, Rahul Garg, Andeep Toor, Xin Tong, Weijuan Xi, Andreas Lugmayr, Vishal M. Patel, Anne Menini

CoRR, 2023

Fine-Context Shadow Detection using Shadow Removal.

Jeya Maria Jose Valanarasu, Vishal M. Patel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

On-the-Fly Test-time Adaptation for Medical Image Segmentation.

Jeya Maria Jose Valanarasu, Pengfei Guo, Vibashan VS, Vishal M. Patel

Proceedings of the Medical Imaging with Deep Learning, 2023

Interactive Portrait Harmonization.

Jeya Maria Jose Valanarasu, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Jose Echevarria, Yinglan Ma, Zijun Wei, Kalyan Sunkavalli, Vishal Patel

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition.

Deepti Hegde, Jeya Maria Jose Valanarasu, Vishal M. Patel

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Ambiguous Medical Image Segmentation Using Diffusion Models.

Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation.

Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu, Vishal M. Patel

IEEE Trans. Medical Imaging, 2022

Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction.

Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel

IEEE Trans. Geosci. Remote. Sens., 2022

Target and Task specific Source-Free Domain Adaptive Image Segmentation.

Vibashan VS, Jeya Maria Jose Valanarasu, Vishal M. Patel

CoRR, 2022

UNeXt: MLP-Based Rapid Medical Image Segmentation Network.

Jeya Maria Jose Valanarasu, Vishal M. Patel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Simultaneous Bone and Shadow Segmentation Network Using Task Correspondence Consistency.

Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Orientation-Guided Graph Convolutional Network for Bone Surface Segmentation.

Aimon Rahman, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Transformer-Based SAR Image Despeckling.

Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

SAR Despeckling Using Overcomplete Convolutional Networks.

Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving.

Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Image Fusion Transformer.

Vibashan VS, Jeya Maria Jose Valanarasu, Poojan Oza, Vishal M. Patel

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions.

Jeya Maria Jose Valanarasu, Rajeev Yasarla, Vishal M. Patel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Exploring Overcomplete Representations for Single Image Deraining Using CNNs.

Rajeev Yasarla, Jeya Maria Jose Valanarasu, Vishal M. Patel

IEEE J. Sel. Top. Signal Process., 2021

R2D: Learning Shadow Removal to Enhance Fine-Context Shadow Detection.

Jeya Maria Jose Valanarasu, Christina Chen, Vishal M. Patel

CoRR, 2021

Overcomplete Deep Subspace Clustering Networks.

Jeya Maria Jose Valanarasu, Vishal M. Patel

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Medical Transformer: Gated Axial-Attention for Medical Image Segmentation.

Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, Vishal M. Patel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Over-and-Under Complete Convolutional RNN for MRI Reconstruction.

Pengfei Guo, Jeya Maria Jose Valanarasu, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Overcomplete Representations Against Adversarial Videos.

Shao-Yuan Lo, Jeya Maria Jose Valanarasu, Vishal M. Patel

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Learning to Segment Brain Anatomy From 2D Ultrasound With Less Data.

Jeya Maria Jose Valanarasu, Rajeev Yasarla, Puyang Wang, Ilker Hacihaliloglu, Vishal M. Patel

IEEE J. Sel. Top. Signal Process., 2020

KiU-Net: Towards Accurate Segmentation of Biomedical Images Using Over-Complete Representations.

Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu, Vishal M. Patel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020