Scholar
Tushar Kataria
Google Scholar ID: Qrs30aYAAAAJ
PhD Student, University of Utah
Citations & Impact
Citations
121
H-index
7
i10-index
6
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - Three papers presented at NAACL 2025.
- - One paper on EfficientMorph presented at WACV-2025.
- - Several archived papers including 'On the Viability of Semi-Supervised Segmentation Methods for Statistical Shape Modeling' and others.
Research Experience
- Summer Internship at Johnson and Johnson Innovation Labs as a Digital Pathology Imaging Intern, where he focused on developing methods for TILs detection and contributed to various image processing projects.
Education
- PhD in Computing, Image Analysis, University of Utah, School of Computing. Advised by Prof. Shireen Elhabian.
Background
- Research Interests: Image processing, medical image processing, deep learning, and computer vision. Specifically, he focuses on semantic segmentation, instance segmentation, and domain adaptation challenges in medical imaging datasets. He is also interested in statistical shape modeling and multimodal machine learning. Currently, his projects explore conditional image generation models for applications such as virtual staining and MRI-to-MRI translation, as well as 3D volume registration.
Miscellany
- Reviewer Services:
- - Conferences: MICCAI 2024, 2025; ARR (June, October) 2024, Feb 2025; ICLR 2025; MIUA 2025.
- - Journals: Medical Image Analysis 2025; Nature Communication.
