About Me
Hello, I am Tushar Kataria, a PhD candidate at University of Utah in the School of Computing. I am in the 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.
PhD Committee Members: Prof. Shireen Elhabian (Committee Chair), 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, Gerald Sabin, Ponnuswamy Sadayappan
Past Collaborators: Shikha Dubey, Krithika Iyer, Jadie Adams, Rachaell Nihalaani, Janmesh Ukey
Summer Internships: Johnson and Johnson Innovation, Research Intern-Pathology Digital Imaging, Summer 2024, Bristol Myers Squibb, Data Science Summer Intern, Summer 2026
Recent News
[October 2026, Accepted to WACV 2027] MorphoFlow: Sparse-Supervised Generative Shape Modeling with Adaptive Latent Relevance
Author List: Mokshagna Sai Teja Karanam, Tushar Kataria, Shireen Elhabian.
[May 2026 - Aug 2026, Data Science Intern] Summer internship at Bristol Myers Squibb in the oncology data science team, working on tumor/lesion segmentation in 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
[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
[Sep 2026, Archive Version] FLASHSWIN: Unlocking Large Windows and Dense Tokens in Swin Vision Transformers with Memory Efficient Attention
Author List: Tushar Kataria, Gerald Sabin, Ponnuswamy Sadayappan, Shireen Y. Elhabian.
[Sep 2026, Archive Version] BoundarySeg: Boundary-Aware Multi-Task Learning for Semi-Supervised 3D Medical Image Segmentation with Limited Unlabeled Data
Author List: Tushar Kataria, Shireen Elhabian.
[July 2026, Archive Version] IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions
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.
[May 2025, Archive Version] StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining
Author List: Tushar Kataria, Beatrice Knudsen, Shireen Elhabian.
Equal Contribution