Tushar Kataria
Orcid: 0000-0002-9469-5266
According to our database1,
Tushar Kataria
authored at least 20 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Weakly SSM : On the Viability of Weakly Supervised Segmentations for Statistical Shape Modeling.
CoRR, 2024
EfficientMorph: Parameter-Efficient Transformer-Based Architecture for 3D Image Registration.
CoRR, 2024
MASSM: An End-to-End Deep Learning Framework for Multi Anatomy Statistical Shape Modeling Directly From Images.
Proceedings of the Shape in Medical Imaging - International Workshop, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
CoRR, 2023
CoRR, 2023
Unsupervised Domain Adaptation for Semantic Segmentation via Feature-space Density Matching.
CoRR, 2023
An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
To Pretrain or Not to Pretrain? A Case Study of Domain-Specific Pretraining for Semantic Segmentation in Histopathology.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
Proceedings of the Shape in Medical Imaging - International Workshop, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2020
Inf. Fusion, 2020
2019
CoRR, 2019
2018
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2016
Image hallucination at different times of day using locally affine model and kNN template matching from time-lapse images.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016