Tejas Sudharshan Mathai

Orcid: 0009-0005-8440-1702

According to our database1, Tejas Sudharshan Mathai authored at least 31 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Universal detection and segmentation of lymph nodes in multi-parametric MRI.
Int. J. Comput. Assist. Radiol. Surg., January, 2024

Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4.
CoRR, 2024

Automated Plaque Detection and Agatston Score Estimation on Non-Contrast CT Scans: A Multicenter Study.
CoRR, 2024

Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT.
CoRR, 2024

Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks.
CoRR, 2024

Weakly-Supervised Detection of Bone Lesions in CT.
CoRR, 2024

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports.
CoRR, 2024

Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors.
CoRR, 2024

Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study.
CoRR, 2024

2023
Universal lymph node detection in T2 MRI using neural networks.
Int. J. Comput. Assist. Radiol. Surg., February, 2023

Automated Measurement of Pericoronary Adipose Tissue Attenuation and Volume in CT Angiography.
CoRR, 2023

Semantic Image Synthesis for Abdominal CT.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports.
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.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Universal lymph node detection in multiparametric MRI with selective augmentation.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

3D universal lesion detection and tagging in CT with self-training.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022
Universal Lesion Detection and Classification Using Limited Data and Weakly-Supervised Self-training.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Universal lesion detection in CT scans using neural network ensembles.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Lymph node detection in T2 MRI with transformers.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021
Universal Lesion Detection in CT Scans using NeuralNetwork Ensembles.
CoRR, 2021

Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles.
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.
CoRR, 2020

Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI.
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.
PhD thesis, 2019

Accurate Tissue Interface Segmentation via Adversarial Pre-Segmentation of Anterior Segment OCT Images.
CoRR, 2019

Segmentation of Vessels in Ultra High Frequency Ultrasound Sequences Using Contextual Memory.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning To Segment Corneal Tissue Interfaces In Oct Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Fast Vessel Segmentation and Tracking in Ultra High-Frequency Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Visualizing the palisades of Vogt: Limbal registration by surface segmentation.
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.
Proceedings of the Augmented Environments for Computer-Assisted Interventions, 2014


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