Patel, Nikunj, and Tushar Kataria. "Image hallucination at different times of day using locally affine model and kNN template matching from time-lapse images." In Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing, pp. 1-8. 2016.
Vanmali, Ashish V., Tushar Kataria, Samrudha G. Kelkar, and Vikram M. Gadre. "Ringing artifacts in wavelet based image fusion: Analysis, measurement and remedies." Information Fusion 56 (2020): 39-69.
Ashish V. Vanmali, Tushar Kataria, Samrudha G. Kelkar, Vikram M. Gadre, “Analysis of Ringing Artifact In Image Fusion Using Directional Wavelet Transforms, ” in Proceedings of Vidyavardhini’s National Conference 2020 (Technical Advancements for Social Upliftments), International Journal of Engineering Research & Technology (IJERT), Vol. 9, Issue 3, Feb 2021, pp. 495-502, ISSN: 2278-0181.
Khincha, Siddharth, Chelsi Jain, Vivek Gupta, Tushar Kataria, and Shuo Zhang. "InfoSync: Information Synchronization across Multilingual Semi-structured Tables." In Findings of the Association for Computational Linguistics: ACL 2023, pp. 2536-2559. 2023.
Kataria, Tushar, Saradha Rajamani, Abdul Bari Ayubi, Mary Bronner, Jolanta Jedrzkiewicz, Beatrice Knudsen, and Shireen Y. Elhabian. "Automating Ground Truth Annotations for Gland Segmentation Through Immunohistochemistry." Modern Pathology (2023): 100331.
Karanam, M.S.T., Kataria, T., Iyer, K., Elhabian, S.Y. (2023). ADASSM: Adversarial Data Augmentation in Statistical Shape Models from Images. In: Wachinger, C., Paniagua, B., Elhabian, S., Li, J., Egger, J. (eds) Shape in Medical Imaging. ShapeMI 2023. Lecture Notes in Computer Science, vol 14350. Springer, Cham. https://doi.org/10.1007/978-3-031-46914-5_8
Kataria, T., Knudsen, B., Elhabian, S. (2023). To Pretrain or Not to Pretrain? A Case Study of Domain-Specific Pretraining for Semantic Segmentation in Histopathology. In: Xue, Z., et al. Medical Image Learning with Limited and Noisy Data. MILLanD 2023. Lecture Notes in Computer Science, vol 14307. Springer, Cham. https://doi.org/10.1007/978-3-031-44917-8_24
Dubey, S., Kataria, T., Knudsen, B., Elhabian, S.Y. (2024). Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon. In: Cao, X., Xu, X., Rekik, I., Cui, Z., Ouyang, X. (eds) Machine Learning in Medical Imaging. MLMI 2023. Lecture Notes in Computer Science, vol 14349. Springer, Cham. https://doi.org/10.1007/978-3-031-45676-3_45
Hall, Mary, Ganesh Gopalakrishnan, Eric Eide, Johanna Cohoon, Jeff Phillips, Mu Zhang, Shireen Elhabian et al. "An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report." In Proceedings of the SC23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, pp. 343-349. 2023.
T. Kataria, B. S. Knudsen and S. Y. Elhabian, "Unsupervised Domain Adaptation for Semantic Segmentation Under Target Data Scarcity," 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024, pp. 1-5, doi: 10.1109/ISBI56570.2024.10635646.
Ukey, Janmesh, Tushar Kataria, and Shireen Y. Elhabian. "MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy Statistical Shape Modeling Directly From Images." arXiv preprint arXiv:2403.11008 (2024).
Nihalaani, R., Kataria, T., Adams, J. and Elhabian, S.Y., 2024, October. Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 273-285). Cham: Springer Nature Switzerland.
Talk at School of Computing, University of Utah, Salt Lake City, USA