Tejas Sudharshan Mathai

According to our database, Tejas Sudharshan Mathai authored at least 40 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

OTMorph: Unsupervised Multi-Domain Abdominal Medical Image Registration Using Neural Optimal Transport.

Boah Kim, Yan Zhuang, Tejas Sudharshan Mathai, Ronald M. Summers

IEEE Trans. Medical Imaging, January, 2025

Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans.

Liangchen Liu, Jianfei Liu, Bikash Santra, Christopher Parnell, Pritam Mukherjee, Tejas Sudharshan Mathai, Yingying Zhu, Akshaya Anand, Ronald M. Summers

Comput. Medical Imaging Graph., 2025

2024

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 Informatics, November, 2024

Segmentation of mediastinal lymph nodes in CT with anatomical priors.

Tejas Sudharshan Mathai, Bohan Liu, Ronald M. Summers

Int. J. Comput. Assist. Radiol. Surg., August, 2024

Enhanced muscle and fat segmentation for CT-based body composition analysis: a comparative study.

Benjamin Hou, Tejas Sudharshan Mathai, Jianfei Liu, Christopher Parnell, Ronald M. Summers

Int. J. Comput. Assist. Radiol. Surg., August, 2024

Universal detection and segmentation of lymph nodes in multi-parametric MRI.

Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen, Daniel C. Elton, Zhiyong Lu, Ronald M. Summers

Int. J. Comput. Assist. Radiol. Surg., January, 2024

MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI.

Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou, Nusrat Rabbee, Ronald M. Summers

CoRR, 2024

Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4.

Qingqing Zhu, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Qiao Jin, Xiuying Chen, Zhizheng Wang, Ruida Cheng, Ronald M. Summers, Zhiyong Lu

CoRR, 2024

Automated Plaque Detection and Agatston Score Estimation on Non-Contrast CT Scans: A Multicenter Study.

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

CoRR, 2024

Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT.

David C. Oluigboa, Bikash Santra, Tejas Sudharshan Mathai, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers

CoRR, 2024

Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks.

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

CoRR, 2024

Weakly-Supervised Detection of Bone Lesions in CT.

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

CoRR, 2024

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports.

Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu

CoRR, 2024

Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis.

Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Ronald M. Summers

Comput. Medical Imaging Graph., 2024

Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data.

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

Comput. Medical Imaging Graph., 2024

Detection of abdominopelvic lymph nodes in multi-parametric MRI.

Tejas Sudharshan Mathai, Thomas C. Shen, Daniel C. Elton, Sungwon Lee, Zhiyong Lu, Ronald M. Summers

Comput. Medical Imaging Graph., 2024

Automated Measurement of Pericoronary Adipose Tissue Attenuation and Volume in Ct Angiography.

Andrew M. Nguyen, Tejas Sudharshan Mathai, Liangchen Liu, Jianfei Liu, Ronald M. Summers

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Automated Classification of Multi-Parametric Body MRI Series.

Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Ronald M. Summers

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports.

Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

2023

Universal lymph node detection in T2 MRI using neural networks.

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

Int. J. Comput. Assist. Radiol. Surg., February, 2023

Semantic Image Synthesis for Abdominal CT.

Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports.

Qingqing Zhu, Tejas Sudharshan Mathai, Pritam Mukherjee, Yifan Peng, Ronald M. Summers, Zhiyong Lu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Universal lymph node detection in multiparametric MRI with selective augmentation.

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

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

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

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

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022

Universal Lesion Detection and Classification Using Limited Data and Weakly-Supervised Self-training.

Varun Naga, Tejas Sudharshan Mathai, Angshuman Paul, Ronald M. Summers

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT.

Peter D. Erickson, Tejas Sudharshan Mathai, Ronald M. Summers

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Universal lesion detection in CT scans using neural network ensembles.

Tarun Mattikalli, Tejas Sudharshan Mathai, Ronald M. Summers

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Lymph node detection in T2 MRI with transformers.

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

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

Universal Lesion Detection in CT Scans using NeuralNetwork Ensembles.

Tarun Mattikalli, Tejas Sudharshan Mathai, Ronald M. Summers

CoRR, 2021

Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles.

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

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020

A Study of Domain Generalization on Ultrasound-based Multi-Class Segmentation of Arteries, Veins, Ligaments, and Nerves Using Transfer Learning.

Edward Chen, Tejas Sudharshan Mathai, Vinit Sarode, Howie Choset, John M. Galeotti

CoRR, 2020

Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI.

Tejas Sudharshan Mathai, Yi Wang, Nathan M. Cross

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Analysis of Spatio-Temporally Varying Features in Optical Coherence Tomographic (OCT) and Ultrasound (US) Image Sequences.

Tejas Sudharshan Mathai

PhD thesis, 2019

Accurate Tissue Interface Segmentation via Adversarial Pre-Segmentation of Anterior Segment OCT Images.

Jiahong Ouyang, Tejas Sudharshan Mathai, Kira L. Lathrop, John M. Galeotti

CoRR, 2019

Segmentation of Vessels in Ultra High Frequency Ultrasound Sequences Using Contextual Memory.

Tejas Sudharshan Mathai, Vijay Gorantla, John M. Galeotti

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning To Segment Corneal Tissue Interfaces In Oct Images.

Tejas Sudharshan Mathai, Kira L. Lathrop, John M. Galeotti

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Fast Vessel Segmentation and Tracking in Ultra High-Frequency Ultrasound Images.

Tejas Sudharshan Mathai, Lingbo Jin, Vijay Gorantla, John M. Galeotti

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Visualizing the palisades of Vogt: Limbal registration by surface segmentation.

Tejas Sudharshan Mathai, John M. Galeotti, Kira L. Lathrop

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2014

Graphics Processor Unit (GPU) Accelerated Shallow Transparent Layer Detection in Optical Coherence Tomographic (OCT) Images for Real-Time Corneal Surgical Guidance.

Tejas Sudharshan Mathai, John M. Galeotti, Samantha Horvath, George D. Stetten

Proceedings of the Augmented Environments for Computer-Assisted Interventions, 2014