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.
Talk at School of Computing, University of Utah, Salt Lake City, USA