About Me
Hello, I am Tushar Kataria, a PhD candidate at University of Utah, Utah in School of Computing. I am in Scientific Computing and Imaging Institute advised by Prof. Shireen Elhabian.
Research Interests
My broader research interests lie in image processing, medical image processing, deep learning, and computer vision. Specifically, I focus on semantic segmentation, instance segmentation, and domain adaptation challenges in medical imaging datasets. I am also interested in statistical shape modeling and multimodal machine learning. Currently, my projects explore conditional image generation models for applications such as virtual staining and MRI-to-MRI translation, as well as 3D volume registration.
Advisor: Prof. Shireen Elhabian
PhD Commitee Members: Prof. Jeff Phillips, Prof. Ziad Al-Halah, Prof. Tolga Tasdizen, Prof. Beatrice Knudsen
Current Collaborators: Prof. Beatrice S. Knudsen, Mokshagna Sai Teja Karanam, Vivek Gupta, Abu Zahid Bin Aziz, Asma Khan, Md Rakibul Haque, KM Sultan
Past Collaborators: Shikha Dubey, Krithika Iyer, Jadie Adams, Rachaell Nihalaani, Janmesh Ukey
Reviewer Services Conferences: MICCAI 2024,2025,2026, ARR 2024, 2025, ICLR 2025, 2026, MIUA 2025, 2026, ShapeMI 2025, ISBI 2026, MIDL 2026, Neurips 2026 Evaluation and Datasets Track
Reviewer Services Journal: Medical Image Analysis 2025, Nature Communication, IEEE JBHI, IEEE TMI
Summer Internship: Johnson and Johnson Innvoation, Research Intern-Pathology Digital Imaging, Summer 2024, Bristol Myers Squibb, Data Science Summer Intern, Summer 2026
Recent News
[Aug 2026 - May 2026, Data Science Intern] Summer Internship at Bristol Myers Squibb as a Data Science in oncology team for Tumor/Lesion segmentation on 3D CT images.
[Aug 2026, Accepted to MLMI 2026] Inference-Time Orthogonal Seeding Enables Geometry-Aligned 3D Organ Segmentation for Slice-Propagation Methods
Author List: Md Rakibul Haque, Tushar Kataria, Shireen Y. Elhabian
[Aug 2026, Accepted to ShapeMI 2026] On the Viability of Semi-Supervised Segmentation Methods for Statistical Shape Modeling
Author List: Asma Khan, Tushar Kataria, Janmesh Ukey, Shireen Y. Elhabian
[July 2026, Under Review at MedIA] IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions
Author List: Tushar Kataria, Beatrice Knudsen, Shireen Elhabian.
[April 2026, Accepted to MICCAI 2026] MedConcept: Unsupervised Concept Discovery for Interpretability in Medical VLMs
Author List: Md Rakibul Haque, KM Sultan, Tushar Kataria, Shireen Elhabian.
[Feb 2026, WACV 2026] MapVerse: A Benchmark for Geospatial Question Answering on Diverse Real-World Maps
Author List: Sharat Bhat, Harshita Khandelwal, Tushar Kataria, Vivek Gupta.
Archived Papers
[Aug 2026, Archive Version] StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining
Author List: Tushar Kataria, Beatrice Knudsen, Shireen Elhabian.
[Nov 2025, Archive Version] Building Trust in Virtual Immunohistochemistry: Automated Assessment of Image Quality
Author List: Tushar Kataria,Shikha Dubey, Mary Bronner, Jolanta Jedrzkiewicz, Ben J. Brintz,Shireen Elhabian, Beatrice Knudsen.
Equal Contribution