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, ShapeMI 2025, ISBI 2026, MIDL 2026

Reviewer Services Journal: Medical Image Analysis 2025, Nature Communication, IEEE JBHI, IEEE TMI

Recent News

• [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.

• [March 2025 -April 2025] Passed My Written PhD Qualifying Exam.

Archived Papers

• [April 2026, Archive Version] IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions

  Author List: Tushar Kataria, Beatrice Knudsen, Shireen Elhabian.

• [Mar 2026, Archive Version] MedConcept: Unsupervised Concept Discovery for Interpretability in Medical VLMs

  Author List: Md Rakibul Haque, KM Sultan, Tushar Kataria, Shireen Elhabian.

• [Mar 2026, Archive Version] MorphoFlow: Sparse-Supervised Generative Shape Modeling with Adaptive Latent Relevance

  Author List: Mokshagna Sai Teja Karanam, Tushar Kataria, 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.

• [Mar 2025, Archive Version] On the Viability of Semi-Supervised Segmentation Methods for Statistical Shape Modeling

  Author List: Asma Khan, Tushar Kataria, Janmesh Ukey, Shireen Y. Elhabian

• [Mar 2024, Archive Version] StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining

  Author List: Tushar Kataria, Beatrice Knudsen, Shireen Elhabian.

• [May 2025, Archive Version] BoundarySeg:An Embarrassingly Simple Method To Boost Medical Image Segmentation Performance for Low Data Regimes

  Author List: Tushar Kataria, Shireen Elhabian.

Equal Contribution