Jeya Maria Jose Valanarasu

62 papers A* 5A 4B 2C 2Journal 36Unranked 13
YearRankTypeTitle / Venue / Authors
2025 — conf
Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis.
ICCVW
Eva Prakash, Jeya Maria Jose Valanarasu, Zhihong Chen, Eduardo Pontes Reis, Andrew Johnston, Anuj Pareek, Christian Bluethgen, Sergios Gatidis, Cameron Olsen, Akshay Chaudhari, Andrew Y. Ng, Curtis Langlotz
2025 A conf
ReBotNet: Fast Real-Time Video Enhancement.
WACV
Jeya Maria Jose Valanarasu, Rahul Garg, Andeep Toor, Xin Tong, Weijuan Xi, Andreas Lugmayr, Vishal M. Patel, Anne Menini
2025 J jnl
The Illusion of Readiness: Stress Testing Large Frontier Models on Multimodal Medical Benchmarks.
CoRR
Yu Gu, Jingjing Fu, Xiaodong Liu, Jeya Maria Jose Valanarasu, Noel C. F. Codella, Reuben Tan, Qianchu Liu, Ying Jin, Sheng Zhang, Jinyu Wang, Rui Wang, Lei Song, Guanghui Qin, Naoto Usuyama, Cliff Wong, Hao Cheng, Ho Hin Lee, Praneeth Sanapathi, Sarah Hilado, Jiang Bian, Javier Alvarez-Valle, Mu Wei, Khalil Malik, Jianfeng Gao, Eric Horvitz, Matthew P. Lungren, Hoifung Poon, Paul Vozila
2025 A* conf
Time-to-Event Pretraining for 3D Medical Imaging.
ICLR
Zepeng Frazier Huo, Jason Alan Fries, Alejandro Lozano, Jeya Maria Jose Valanarasu, Ethan Steinberg, Louis Blankemeier, Akshay S. Chaudhari, Curtis P. Langlotz, Nigam Shah
2024 — conf
Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation.
MIDL
Tanvi Deshpande, Eva Prakash, Elsie Gyang Ross, Curtis P. Langlotz, Andrew Y. Ng, Jeya Maria Jose Valanarasu
2024 J jnl
Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation.
CoRR
Tanvi Deshpande, Eva Prakash, Elsie Gyang Ross, Curtis P. Langlotz, Andrew Y. Ng, Jeya Maria Jose Valanarasu
2024 J jnl
CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation.
CoRR
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
2024 J jnl
Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers.
CoRR
Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal M. Patel
2024 — conf
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training.
MIDL
Jeya Maria Jose Valanarasu, Yucheng Tang, Dong Yang, Ziyue Xu, Can Zhao, Wenqi Li, Vishal M. Patel, Bennett Allan Landman, Daguang Xu, Yufan He, Vishwesh Nath
2024 J jnl
Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis.
CoRR
Eva Prakash, Jeya Maria Jose Valanarasu, Zhihong Chen, Eduardo Pontes Reis, Andrew Johnston, Anuj Pareek, Christian Bluethgen, Sergios Gatidis, Cameron Olsen, Akshay Chaudhari, Andrew Y. Ng, Curtis P. Langlotz
2024 J jnl
MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models.
CoRR
Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal M. Patel
2024 — conf
MaxFusion: Plug&Play Multi-modal Generation in Text-to-Image Diffusion Models.
ECCV (38)
Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal M. Patel
2024 J jnl
Merlin: A Vision Language Foundation Model for 3D Computed Tomography.
CoRR
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
2024 A conf
Self-Supervised Denoising Transformer with Gaussian Process.
WACV
Rajeev Yasarla, Jeya Maria Jose Valanarasu, Vishwanath S, Vishal M. Patel
2024 — conf
Target and task specific source-free domain adaptive image segmentation.
MIDL
Vibashan VS, Jeya Maria Jose Valanarasu, Vishal M. Patel
2024 J jnl
Time-to-Event Pretraining for 3D Medical Imaging.
CoRR
Zepeng Huo, Jason Alan Fries, Alejandro Lozano, Jeya Maria Jose Valanarasu, Ethan Steinberg, Louis Blankemeier, Akshay S. Chaudhari, Curtis P. Langlotz, Nigam H. Shah
2024 J jnl
Unlocking Robust Segmentation Across All Age Groups via Continual Learning.
CoRR
Chih-Ying Liu, Jeya Maria Jose Valanarasu, Camila González, Curtis P. Langlotz, Andrew Y. Ng, Sergios Gatidis
2023 A* conf
Ambiguous Medical Image Segmentation Using Diffusion Models.
CVPR
Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel
2023 J jnl
Ambiguous Medical Image Segmentation using Diffusion Models.
CoRR
Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel
2023 — conf
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition.
ICCV (Workshops)
Deepti Hegde, Jeya Maria Jose Valanarasu, Vishal M. Patel
2023 J jnl
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition.
CoRR
Deepti Hegde, Jeya Maria Jose Valanarasu, Vishal M. Patel
2023 J jnl
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training.
CoRR
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
2023 A conf
Fine-Context Shadow Detection using Shadow Removal.
WACV
Jeya Maria Jose Valanarasu, Vishal M. Patel
2023 A* conf
Interactive Portrait Harmonization.
ICLR
Jeya Maria Jose Valanarasu, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Jose Echevarria, Yinglan Ma, Zijun Wei, Kalyan Sunkavalli, Vishal Patel
2023 — conf
On-the-Fly Test-time Adaptation for Medical Image Segmentation.
MIDL
Jeya Maria Jose Valanarasu, Pengfei Guo, Vibashan VS, Vishal M. Patel
2023 J jnl
ReBotNet: Fast Real-time Video Enhancement.
CoRR
Jeya Maria Jose Valanarasu, Rahul Garg, Andeep Toor, Xin Tong, Weijuan Xi, Andreas Lugmayr, Vishal M. Patel, Anne Menini
2022 J jnl
Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction.
IEEE Trans. Geosci. Remote. Sens.
Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel
2022 B conf
Image Fusion Transformer.
ICIP
Vibashan VS, Jeya Maria Jose Valanarasu, Poojan Oza, Vishal M. Patel
2022 J jnl
Interactive Portrait Harmonization.
CoRR
Jeya Maria Jose Valanarasu, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Jose Echevarria, Yinglan Ma, Zijun Wei, Kalyan Sunkavalli, Vishal M. Patel
2022 J jnl
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation.
IEEE Trans. Medical Imaging
Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu, Vishal M. Patel
2022 J jnl
On-the-Fly Test-time Adaptation for Medical Image Segmentation.
CoRR
Jeya Maria Jose Valanarasu, Pengfei Guo, Vibashan VS, Vishal M. Patel
2022 — conf
Orientation-Guided Graph Convolutional Network for Bone Surface Segmentation.
MICCAI (5)
Aimon Rahman, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel
2022 J jnl
Orientation-guided Graph Convolutional Network for Bone Surface Segmentation.
CoRR
Aimon Rahman, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel
2022 C conf
SAR Despeckling Using Overcomplete Convolutional Networks.
IGARSS
Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel
2022 J jnl
SAR Despeckling Using Overcomplete Convolutional Networks.
CoRR
Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel
2022 A* conf
SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving.
ICRA
Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel
2022 — conf
Simultaneous Bone and Shadow Segmentation Network Using Task Correspondence Consistency.
MICCAI (4)
Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel
2022 J jnl
Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency.
CoRR
Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel
2022 J jnl
Target and Task specific Source-Free Domain Adaptive Image Segmentation.
CoRR
Vibashan VS, Jeya Maria Jose Valanarasu, Vishal M. Patel
2022 A* conf
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions.
CVPR
Jeya Maria Jose Valanarasu, Rajeev Yasarla, Vishal M. Patel
2022 C conf
Transformer-Based SAR Image Despeckling.
IGARSS
Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel
2022 J jnl
Transformer-based SAR Image Despeckling.
CoRR
Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel
2022 — conf
UNeXt: MLP-Based Rapid Medical Image Segmentation Network.
MICCAI (5)
Jeya Maria Jose Valanarasu, Vishal M. Patel
2022 J jnl
UNeXt: MLP-based Rapid Medical Image Segmentation Network.
CoRR
Jeya Maria Jose Valanarasu, Vishal M. Patel
2021 J jnl
Exploring Overcomplete Representations for Single Image Deraining Using CNNs.
IEEE J. Sel. Top. Signal Process.
Rajeev Yasarla, Jeya Maria Jose Valanarasu, Vishal M. Patel
2021 J jnl
Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction.
CoRR
Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel
2021 J jnl
Image Fusion Transformer.
CoRR
Vibashan VS, Jeya Maria Jose Valanarasu, Poojan Oza, Vishal M. Patel
2021 — conf
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation.
MICCAI (1)
Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, Vishal M. Patel
2021 J jnl
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation.
CoRR
Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, Vishal M. Patel
2021 — conf
Over-and-Under Complete Convolutional RNN for MRI Reconstruction.
MICCAI (6)
Pengfei Guo, Jeya Maria Jose Valanarasu, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel
2021 J jnl
Over-and-Under Complete Convolutional RNN for MRI Reconstruction.
CoRR
Pengfei Guo, Jeya Maria Jose Valanarasu, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel
2021 A conf
Overcomplete Deep Subspace Clustering Networks.
WACV
Jeya Maria Jose Valanarasu, Vishal M. Patel
2021 B conf
Overcomplete Representations Against Adversarial Videos.
ICIP
Shao-Yuan Lo, Jeya Maria Jose Valanarasu, Vishal M. Patel
2021 J jnl
R2D: Learning Shadow Removal to Enhance Fine-Context Shadow Detection.
CoRR
Jeya Maria Jose Valanarasu, Christina Chen, Vishal M. Patel
2021 J jnl
SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving.
CoRR
Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel
2021 J jnl
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions.
CoRR
Jeya Maria Jose Valanarasu, Rajeev Yasarla, Vishal M. Patel
2020 J jnl
Exploring Overcomplete Representations for Single Image Deraining using CNNs.
CoRR
Rajeev Yasarla, Jeya Maria Jose Valanarasu, Vishal M. Patel
2020 J jnl
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation.
CoRR
Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu, Vishal M. Patel
2020 — conf
KiU-Net: Towards Accurate Segmentation of Biomedical Images Using Over-Complete Representations.
MICCAI (4)
Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu, Vishal M. Patel
2020 J jnl
Learning to Segment Brain Anatomy From 2D Ultrasound With Less Data.
IEEE J. Sel. Top. Signal Process.
Jeya Maria Jose Valanarasu, Rajeev Yasarla, Puyang Wang, Ilker Hacihaliloglu, Vishal M. Patel
2020 J jnl
Overcomplete Deep Subspace Clustering Networks.
CoRR
Jeya Maria Jose Valanarasu, Vishal M. Patel
2020 J jnl
Overcomplete Representations Against Adversarial Videos.
CoRR
Shao-Yuan Lo, Jeya Maria Jose Valanarasu, Vishal M. Patel