Dr. Tejas Sudharshan Mathai Profile

Dr. Tejas Sudharshan Mathai

at National Institutes of Health (NIH)

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Author

Publications (10)

Proceedings Article | 3 April 2024 Presentation + Paper

Unsupervised multi-parametric MRI registration using neural optimal transport

Boah Kim, Tejas Sudharshan Mathai, Ronald Summers

Proceedings Volume 12927, 129270U (2024) https://doi.org/10.1117/12.3006289

KEYWORDS: Image registration, Deformation, Magnetic resonance imaging, Medical imaging, Machine learning

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Proceedings Article | 3 April 2024 Presentation + Paper

Automated plaque detection and Agatston score estimation on non-contrast CT scans: a multicenter study

Andrew Nguyen, Jianfei Liu, Tejas Sudharshan Mathai, Peter Grayson, Ronald Summers

Proceedings Volume 12927, 1292710 (2024) https://doi.org/10.1117/12.3008750

KEYWORDS: Computed tomography, Arteries, Heart, Chest, Cardiovascular disorders, Aorta, Linear regression

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Proceedings Article | 3 April 2024 Presentation + Paper

Weakly supervised detection of pheochromocytomas and paragangliomas in CT

David Oluigbo, Bikash Santra, Tejas Sudharshan Mathai, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald Summers

Proceedings Volume 12927, 129270S (2024) https://doi.org/10.1117/12.3008833

KEYWORDS: 3D modeling, Computed tomography, Deep learning, Volume segmentation, Computer aided detection, Cancer

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Proceedings Article | 3 April 2024 Presentation + Paper

Weakly-supervised detection of bone lesions in CT

Tao Sheng, Tejas Sudharshan Mathai, Alexander Shieh, Ronald Summers

Proceedings Volume 12927, 129270Q (2024) https://doi.org/10.1117/12.3008823

KEYWORDS: Bone, 3D modeling, Image segmentation, Data modeling, Computed tomography, Cancer

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Proceedings Article | 3 April 2024 Presentation + Paper

Automated classification of body MRI sequence type using convolutional neural networks

Kimberly Helm, Tejas Sudharshan Mathai, Boah Kim, Pritam Mukherjee, Jianfei Liu, Ronald Summers

Proceedings Volume 12927, 129270K (2024) https://doi.org/10.1117/12.3008780

KEYWORDS: Brain, Abdomen, Image classification, Deep learning, Convolutional neural networks, 3D magnetic resonance imaging

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Proceedings Article | 7 April 2023 Presentation + Paper

Universal lymph node detection in multiparametric MRI with selective augmentation

Tejas Sudharshan Mathai, Sungwon Lee, Thomas Shen, Zhiyong Lu, Ronald Summers

Proceedings Volume 12465, 124651E (2023) https://doi.org/10.1117/12.2655270

KEYWORDS: Diffusion weighted imaging, Lymph nodes, Magnetic resonance imaging, Deep learning, Computer aided detection

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Proceedings Article | 7 April 2023 Presentation + Paper

Correcting class imbalances with self-training for improved universal lesion detection and tagging

Alexander Shieh, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald Summers

Proceedings Volume 12465, 1246512 (2023) https://doi.org/10.1117/12.2655267

KEYWORDS: Computed tomography, Deep learning, Tumors, Computer aided detection, Image classification

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Proceedings Article | 7 April 2023 Poster + Paper

3D universal lesion detection and tagging in CT with self-training

Jared Frazier, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald Summers

Proceedings Volume 12465, 1246538 (2023) https://doi.org/10.1117/12.2655250

KEYWORDS: Tumors, Deep learning, Computer aided detection, Image classification, Computed tomography

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Proceedings Article | 4 April 2022 Presentation + Paper

Lymph node detection in T2 MRI with transformers

Tejas Sudharshan Mathai, Sungwon Lee, Daniel Elton, Thomas Shen, Yifan Peng, Zhiyong Lu, Ronald Summers

Proceedings Volume 12033, 120333B (2022) https://doi.org/10.1117/12.2613273

KEYWORDS: Machine learning, Medical imaging, Computer aided diagnosis and therapy, Object recognition, Magnetic resonance imaging, Lymphatic system, Transformers, Diffusion weighted imaging, Radiology

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Proceedings Article | 4 April 2022 Presentation + Paper

Universal lesion detection in CT scans using neural network ensembles

Tarun Mattikalli, Tejas Sudharshan Mathai, Ronald Summers

Proceedings Volume 12033, 120333D (2022) https://doi.org/10.1117/12.2612660

KEYWORDS: Machine learning, Computer aided diagnosis and therapy, Object recognition, Computed tomography, Neural networks, Tumors

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Showing 5 of 10 publications

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