KiU-Net: Towards Accurate Segmentation of Biomedical Images Using Over-Complete Representations. - Jeya Maria Jose Valanarasu; Vishwanath A. Sindagi; Ilker Hacihaliloglu; Vishal M. Patel (MICCAI (4), 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)

Overcomplete Representations Against Adversarial Videos. - Shao-Yuan Lo; Jeya Maria Jose Valanarasu; Vishal M. Patel (ICIP, 2021)

Over-and-Under Complete Convolutional RNN for MRI Reconstruction. - Pengfei Guo; Jeya Maria Jose Valanarasu; Puyang Wang; Jinyuan Zhou; Shanshan Jiang 002; Vishal M. Patel (MICCAI (6), 2021)

Medical Transformer: Gated Axial-Attention for Medical Image Segmentation. - Jeya Maria Jose Valanarasu; Poojan Oza; Ilker Hacihaliloglu; Vishal M. Patel (MICCAI (1), 2021)

Overcomplete Deep Subspace Clustering Networks. - Jeya Maria Jose Valanarasu; Vishal M. Patel (WACV, 2021)

R2D: Learning Shadow Removal to Enhance Fine-Context Shadow Detection. - Jeya Maria Jose Valanarasu; Christina Chen; Vishal M. Patel (CoRR, 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)

TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions. - Jeya Maria Jose Valanarasu; Rajeev Yasarla; Vishal M. Patel (CVPR, 2022)

Image Fusion Transformer. - Vibashan VS; Jeya Maria Jose Valanarasu; Poojan Oza; Vishal M. Patel (ICIP, 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 (ICRA, 2022)

SAR Despeckling Using Overcomplete Convolutional Networks. - Malsha V. Perera; Wele Gedara Chaminda Bandara; Jeya Maria Jose Valanarasu; Vishal M. Patel (IGARSS, 2022)

Transformer-Based SAR Image Despeckling. - Malsha V. Perera; Wele Gedara Chaminda Bandara; Jeya Maria Jose Valanarasu; Vishal M. Patel (IGARSS, 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 (MICCAI (5), 2022)

Simultaneous Bone and Shadow Segmentation Network Using Task Correspondence Consistency. - Aimon Rahman; Jeya Maria Jose Valanarasu; Ilker Hacihaliloglu; Vishal M. Patel (MICCAI (4), 2022)

UNeXt: MLP-Based Rapid Medical Image Segmentation Network. - Jeya Maria Jose Valanarasu; Vishal M. Patel (MICCAI (5), 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)

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)

Ambiguous Medical Image Segmentation Using Diffusion Models. - Aimon Rahman; Jeya Maria Jose Valanarasu; Ilker Hacihaliloglu; Vishal M. Patel (CVPR, 2023)

CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition. - Deepti Hegde; Jeya Maria Jose Valanarasu; Vishal M. Patel (ICCV (Workshops), 2023)

Interactive Portrait Harmonization. - Jeya Maria Jose Valanarasu; He Zhang 004; Jianming Zhang 001; Yilin Wang 002; Zhe Lin 001; Jose Echevarria; Yinglan Ma; Zijun Wei; Kalyan Sunkavalli; Vishal Patel 001 (ICLR, 2023)

On-the-Fly Test-time Adaptation for Medical Image Segmentation. - Jeya Maria Jose Valanarasu; Pengfei Guo; Vibashan VS; Vishal M. Patel (MIDL, 2023)

Fine-Context Shadow Detection using Shadow Removal. - Jeya Maria Jose Valanarasu; Vishal M. Patel (WACV, 2023)

MaxFusion: Plug&Play Multi-modal Generation in Text-to-Image Diffusion Models. - Nithin Gopalakrishnan Nair; Jeya Maria Jose Valanarasu; Vishal M. Patel (ECCV (38), 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 (MIDL, 2024)

Target and task specific source-free domain adaptive image segmentation. - Vibashan VS; Jeya Maria Jose Valanarasu; Vishal M. Patel (MIDL, 2024)

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training. - Jeya Maria Jose Valanarasu; Yucheng Tang; Dong Yang 005; Ziyue Xu 001; Can Zhao 001; Wenqi Li 001; Vishal M. Patel; Bennett Allan Landman; Daguang Xu; Yufan He; Vishwesh Nath (MIDL, 2024)

Self-Supervised Denoising Transformer with Gaussian Process. - Rajeev Yasarla; Jeya Maria Jose Valanarasu; Vishwanath S; Vishal M. Patel (WACV, 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; et al. (CoRR, 2024)

Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers. - Nithin Gopalakrishnan Nair; Jeya Maria Jose Valanarasu; Vishal M. Patel (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)

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; et al. (CoRR, 2024)

Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis. - 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 (CoRR, 2024)

Time-to-Event Pretraining for 3D Medical Imaging. - Zepeng Frazier Huo; Jason Alan Fries; Alejandro Lozano; Jeya Maria Jose Valanarasu; Ethan Steinberg; Louis Blankemeier; Akshay S. Chaudhari; Curtis P. Langlotz; Nigam Shah (ICLR, 2025)

ReBotNet: Fast Real-Time Video Enhancement. - Jeya Maria Jose Valanarasu; Rahul Garg 002; Andeep Toor; Xin Tong; Weijuan Xi; Andreas Lugmayr; Vishal M. Patel; Anne Menini (WACV, 2025)