Publications by authors named "Tejas Sudharshan Mathai"

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Automated coronary calcium detection and scoring on multicenter, multiprotocol noncontrast CT.
Andrew M Nguyen, Jianfei Liu, Tejas Sudharshan Mathai, Peter C Grayson, Perry J Pickhardt

J Med Imaging (Bellingham)· November 2025

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Analysis of deep learning-based segmentation of lymph nodes on full-dose and reduced-dose body CT.
Lindsey H Bloom, Tejas Sudharshan Mathai, Bohan Liu, Brandon Khoury, Naiya Patel

Abdom Radiol (NY)· November 2025

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Automated Detection and Segmentation of Aortoiliac Calcified Plaques Using nnU-Net for Whole-Torso Atherosclerotic Burden Assessment on Non-Contrast and Contrast-Enhanced CT Scans.
Jianfei Liu, Vivek Batheja, Pritam Mukherjee, Tejas Sudharshan Mathai, Peter C Grayson

Acad Radiol· October 2025

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Improved muscle and fat segmentation for body composition measures on quantitative CT.
Jianfei Liu, Praveen Thoppey Srinivasan Balamuralikrishna, Sovira Tan, Pritam Mukherjee, Tejas Sudharshan Mathai

Int J Comput Assist Radiol Surg· September 2025

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Text Embedded Swin-UMamba for DeepLesion Segmentation.
Ruida Cheng, Tejas Sudharshan Mathai, Pritam Mukherjee, Benjamin Hou, Qingqing Zhu

ArXiv· August 2025

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A Study of Anatomical Priors for Deep Learning-Based Segmentation of Pheochromocytoma in Abdominal CT.
Tanjin Taher Toma, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu

ArXiv· July 2025

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Classification of Multi-Parametric Body MRI Series Using Deep Learning.
Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Peter A Pinto, Ronald M Summers

ArXiv· June 2025

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Segment-and-Classify: ROI-Guided Generalizable Contrast Phase Classification in CT Using XGBoost.
Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xinya Wang, Ronald M Summers

ArXiv· May 2025

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Privacy-Preserving Large Language Model for Matching Findings and Tracking Interval Changes in Longitudinal Radiology Reports.
Tejas Sudharshan Mathai, Boah Kim, Oana M Stroie, Ronald M Summers

J Imaging Inform Med· April 2025

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MRISegmenter: A Fully Accurate and Robust Automated Multiorgan and Structure Segmentation Tool for T1-weighted Abdominal MRI.
Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim

Radiology· April 2025

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Landmark-Based Pancreas Sub-region Segmentation in CT.
Yan Zhuang, Abhinav Suri, Tejas Sudharshan Mathai, Brandon Khoury, Ronald M Summers

J Imaging Inform Med· April 2025

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Benchmarking Multi-Organ Segmentation Tools for Multi-Parametric T1-weighted Abdominal MRI.
Nicole Tran, Anisa Prasad, Yan Zhuang, Tejas Sudharshan Mathai, Boah Kim

ArXiv· April 2025

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Correcting Class Imbalances with Self-Training for Improved Universal Lesion Detection and Tagging.
Alexander Shieh, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M Summers

ArXiv· April 2025

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Universal Lymph Node Detection in Multiparametric MRI with Selective Augmentation.
Tejas Sudharshan Mathai, Sungwon Lee, Thomas C Shen, Zhiyong Lu, Ronald M Summers

ArXiv· April 2025

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Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT.
Peter D Erickson, Tejas Sudharshan Mathai, Ronald M Summers

ArXiv· April 2025

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3D Universal Lesion Detection and Tagging in CT with Self-Training.
Jared Frazier, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M Summers

ArXiv· April 2025

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Fully Automated and Explainable Measurement of Liver Surface Nodularity in CT: Utility for Staging Hepatic Fibrosis.
Tejas Sudharshan Mathai, Meghan G Lubner, Perry J Pickhardt, Ronald M Summers

Acad Radiol· March 2025

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Automated Classification of Body MRI Sequences Using Convolutional Neural Networks.
Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Pritam Mukherjee, Jianfei Liu

Acad Radiol· March 2025

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OTMorph: Unsupervised Multi-Domain Abdominal Medical Image Registration Using Neural Optimal Transport.
Boah Kim, Yan Zhuang, Tejas Sudharshan Mathai, Ronald M Summers

IEEE Trans Med Imaging· January 2025

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Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation.
Xinya Wang, Tejas Sudharshan Mathai, Boah Kim, Ronald M Summers

ArXiv· January 2025

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Classification of Multi-Parametric Body MRI Series Using Deep Learning.
Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Peter A Pinto, Ronald M Summers

IEEE J Biomed Health Inform· November 2024

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Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data.
David Oluigbo, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu

Comput Med Imaging Graph· September 2024

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Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports.
Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai

Proc (IEEE Int Conf Healthc Inform)· June 2024

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Weakly-Supervised Detection of Bone Lesions in CT.
Tao Sheng, Tejas Sudharshan Mathai, Alexander Shieh, Ronald M Summers

Proc SPIE Int Soc Opt Eng· February 2024

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Unsupervised Multi-parametric MRI Registration Using Neural Optimal Transport.
Boah Kim, Tejas Sudharshan Mathai, Ronald M Summers

Proc SPIE Int Soc Opt Eng· February 2024

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