Jeya Maria Jose

Jeya Maria Jose

I am a Senior Researcher at Microsoft Research. My research spans Computer Vision, Machine Learning, and NLP with an emphasis on impactful real-world applications like Healthcare. My current research revolves around building multi-modal AI systems that harness large-scale real-world data to accelerate biomedical discoveries, optimize clinical workflows, and transform healthcare.

Previously, I was a postdoctoral researcher at Stanford University, working with Andrew Ng and Curtis Langlotz. I obtained my Ph.D. and M.S from Johns Hopkins University advised by Vishal M Patel .

I am glad to be recognized as an Amazon fellow . I also had the opportunity to work with research teams at Google, NVIDIA , and Adobe during my Ph.D.

Email / CV / Google Scholar / Github / LinkedIn

News

January, 2025 - 1 paper accepted at ICLR 2025.
October, 2024 - Won the Young Scientist Impact Award from MICCAI Society.
August, 2024 - 1 paper accepted at WACV 2025.
July, 2024 - 1 paper accepted at ECCV 2024.
April, 2024 - 4 papers accepted at MIDL 2024.
February, 2024 - Serving as Area Chair for MICCAI 2024.
October, 2023 - 1 paper accepted at WACV 2024.
November, 2023 - Won the DAAD AI-Net Fellowship.
August, 2023 - Invited Talk at MedAI Group. Link for Slides, Video.
May, 2023 - Invited Talk at Amazon. Link for Slides.
April, 2023 - Defended my Ph.D.!! Link for Slides.
March, 2023 - 1 paper accepted at MIDL 2023.
February, 2023 - 1 paper accepted at CVPR 2023.
January, 2023 - 1 paper accepted at ICLR 2023.
October, 2022 - Won the Amazon Research Fellowship.
September, 2022 - Received Young Scientist Impact Award - Finalist at MICCAI 2022.
August, 2022 - 1 paper accepted at WACV 2023.
August, 2022 - Received NIH MICCAI Award 2022, which rewards early career scientists.
June, 2022 - 3 papers accepted at MICCAI 2022.
June, 2022 - Invited Talk at IEEE SPS Summer School on AI in Healthcare.
May, 2022 - Awarded Outstanding Automation Paper Finalist (top 3) at ICRA 2022.
March, 2022 - Presented a Tutorial at ISBI 2022 on medical image segmentation.
March, 2022 - 1 paper accepted at CVPR 2022.
January, 2022 - 1 paper accepted at ICRA 2022.
November, 2021 - 1 paper accepted in IEEE Transactions on Medical Imaging.
June, 2021 - 2 papers accepted at MICCAI 2021.
May, 2021 - Joined Adobe as a Research Intern.
May, 2021 - 1 paper accepted at ICIP 2021 .
November, 2020 - 1 paper accepted in IEEE Journal of Selected Topics in Signal Processing .
November, 2020 - 1 paper accepted at WACV 2021 .
July, 2020 - Recipient of MICCAI Student Travel Award 2020, which rewards first author students of the highest-quality MICCAI papers.
May, 2020 - 1 paper accepted in the IEEE Journal of Selected Topics in Signal Processing .
May, 2020 - 1 paper accepted at MICCAI 2020 (Early Acceptance).

Best Student Paper award

CVIP 2019

August, 2019 - Joined Johns Hopkins University for my Ph.D with ECE fellowship.

Research

The Illusion of Readiness: Stress Testing Large Frontier Models on Multimodal Medical Benchmarks

Microsoft Research, Microsoft Health and Life Sciences

Paper

Time-to-Event Pretraining for 3D Medical Imaging

ICLR 2025

Zepeng Huo*, Jason Alan Fries*, Alejandro Lozano*, Jeya Maria Jose , Ethan Steinberg, Louis Blankemeier, Akshay S. Chaudhari, Curtis Langlotz, Nigam H. Shah

Paper

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

Preprint 2024

Stanford AIMI (L.Blankemeier et al.)

Paper

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

ECCV 2024

Nithin GK, Jeya Maria Jose , Vishal M. Patel

Paper | Project | Code

Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers

Preprint 2024

Nithin GK, Jeya Maria Jose , Vishal M. Patel

Paper

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

Preprint 2024

Z. Chen, M. Varma, JB Delbrouck, M. Paschali, L. Blankemeier, DV Veen Jeya Maria Jose , A. Youssef, JP Cohen, EP Reis, EB Tsai, A. Johnston, C. Olsen, TM Abraham, S. Gatidis, Akshay S. Chaudhari, Curtis Langlotz

Paper | Project | Demo | Code

ReBotNet: Fast Real-time Video Enhancement

WACV 2025

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

Paper | Project

| Code

	Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training MIDL 2024 Jeya Maria Jose , Yucheng Tang, Dong Yang, Ziyue Xu, Can Zhao, Wenqi Li, Vishal M. Patel, Bennett Landman, Daguang Xu, Yufan He and Vishwesh Nath Paper \| Weights \| Pre-training Code
	Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation MIDL 2024 Tanvi Deshpande, Eva Prakash, Elsie Gyang Ross, Curtis Langlotz, Andrew Ng, Jeya Maria Jose Paper \| Code
	Unlocking Robust Segmentation Across All Age Groups via Continual Learning MIDL 2024 Chih-Ying Liu, Jeya Maria Jose, Camila Gonzalez, Curtis Langlotz, Andrew Ng, Sergios Gatidis Paper
	Target and Task specific Source-Free Domain Adaptive Image Segmentation MIDL 2024 Vibashan VS, Jeya Maria Jose , and Vishal M. Patel *equal contribution Paper \| Code

	Self-Supervised Denoising Transformer with Gaussian Process WACV 2024 Rajeev Yasarla, Jeya Maria Jose , Vishwanath Sindagi, Vishal M. Patel Paper
	CLIP Goes 3D: Leveraging Prompt Tuning for Language-Grounded 3D Recognition OpenSUN3D, ICCV 2023 Deepti Hegde, Jeya Maria Jose , and Vishal M. Patel *equal contribution Paper \| Code \| Project
	On-the-Fly Test-time Adaptation for Medical Image Segmentation MIDL 2023 Jeya Maria Jose , Pengfei Guo, Vibashan VS, and Vishal M. Patel Paper \| Code
	Ambiguous Medical Image Segmentation using Diffusion Models CVPR 2023 Aimon Rahman, Jeya Maria Jose, Ilker H, and Vishal M. Patel Paper \| Code \| Project
	Interactive Portrait Harmonization ICLR 2023 Jeya Maria Jose, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin , Jose Echevarria, Yinglan Ma, Zijun Wei, Kalyan Sunkavalli, and Vishal M. Patel Paper \| Code \| Project
	Fine-Context Shadow Detection using Shadow Removal WACV 2023 Jeya Maria Jose and Vishal M. Patel Paper
	TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions CVPR 2022 Jeya Maria Jose, Rajeev Yasarla and Vishal M. Patel Paper \| Code \| Project
	UNeXt: MLP-based Rapid Medical Image Segmentation Network MICCAI 2022 Jeya Maria Jose and Vishal M. Patel Paper \| Code \| Project
	Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency MICCAI 2022 Aimon Rahman, Jeya Maria Jose, Ilker H, and Vishal M. Patel Paper
	Orientation-guided Graph Convolutional Network for Bone Surface Segmentation MICCAI 2022 Aimon Rahman, Chaminda Bandara, Jeya Maria Jose, Ilker H, and Vishal M. Patel Paper
	SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving ICRA 2022 (Outstanding Automation Paper Finalist) Chaminda Bandara, Jeya Maria Jose, and Vishal M. Patel Paper \| Code
	Medical Transformer: Gated Axial-Attention for Medical Image Segmentation MICCAI 2021 Jeya Maria Jose, Poojan Oza, Ilker Hacihaliloglu, Vishal M. Patel Paper \| Code
	Over-and-Under Complete Convolutional RNN for MRI Reconstruction MICCAI 2021 Pengfei Guo, Jeya Maria Jose, Puyang Wang, Jinyuan Zhou,Shanshan Jiang, Vishal M. Patel Paper \| Code
	KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation IEEE Transactions on Medical Imaging Jeya Maria Jose, Vishwanath Sindagi, Ilker Hacihaliloglu, Vishal M. Patel Paper \| Code \| Project
	Overcomplete Deep Subspace Clustering Networks WACV 2021 Jeya Maria Jose and Vishal M. Patel Paper \| Code
	Overcomplete Representations against Adversarial Videos ICIP 2021 Shao-Yuan Lo, Jeya Maria Jose, and Vishal M. Patel Paper
	Exploring Overcomplete Representations for Single Image Deraining using CNNs IEEE Journal of Selected Topics in Signal Processing Rajeev Yasarla, Jeya Maria Jose, Vishal M. Patel *equal contribution Paper \| Code
	KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations MICCAI 2020 (Oral) Jeya Maria Jose, Vishwanath Sindagi, Ilker Hacihaliloglu, Vishal M. Patel Paper \| Code \| Project
	Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data IEEE Journal of Selected Topics in Signal Processing Jeya Maria Jose, Rajeev Yasarla, Puyang Wang, Ilker Hacihaliloglu, Vishal M. Patel Paper
	Tackling Multiple Visual Artifacts: Blind Image Restoration using Conditional Adversarial Networks CVIP 2019 (Best Student Paper Award) M Anand, A Ashwin Natraj, Jeya Maria Jose, K Subramanian, S Deivalakshmi Paper \| Code
	Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet BraTS, MICCAI Workshop 2019 Mobarakol Islam, Vibashan VS, Jeya Maria Jose, Navodini Wijethilake, Uppal Utkarsh, Hongliang Ren Paper
	Glioma Prognosis: Segmentation of the Tumor and Survival Prediction using Shape, Geometric and Clinical Information BraTS, MICCAI Workshop 2018 Mobarakol Islam, Jeya Maria Jose, Hongliang Ren Paper \| Poster

Services

Web Chair: AVSS 2021

Program Committe: DART Workshop, MICCAI 2022

Reviewer at:

Journals :

IEEE Transactions on Pattern Analysis and Machine Intelligence

IEEE Transactions on Medical Imaging

Elsevier Medical Image Analysis

IEEE Transactions on Circuits and Systems for Video Technology

IEEE Transactions on Geoscience and Remote Sensing

Springer International Journal on Computer Vision

Elsevier Pattern Recognition

Elsevier Computers in Biology and Medicine

Conferences :

CVPR

ICCV

ECCV

NeurIPS

ICLR

ICML

MICCAI

MIDL

WACV

ICIP

Workshops :

BrainLes, Medical Image Learning with Less Labels and Imperfect Data