2 citations · 3 across the 2 of their papers we have counts for
4 papers
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 +2
Identifying landmarks in the femoral area is crucial for ultrasound (US) -based robot-guided catheter insertion, and their presentation varies when imaged with different scanners.…
Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI
Tejas Sudharshan Mathai, Yi Wang, Nathan Cross
Patient motion during the magnetic resonance imaging (MRI) acquisition process results in motion artifacts, which limits the ability of radiologists to provide a quantitative asses…
Accurate Tissue Interface Segmentation via Adversarial Pre-Segmentation of Anterior Segment OCT Images
Jiahong Ouyang, Tejas Sudharshan Mathai, Kira Lathrop +1
Optical Coherence Tomography (OCT) is an imaging modality that has been widely adopted for visualizing corneal, retinal and limbal tissue structure with micron resolution. It can b…
Fast Vessel Segmentation and Tracking in Ultra High-Frequency Ultrasound Images
Tejas Sudharshan Mathai, Lingbo Jin, Vijay Gorantla +1
Ultra High Frequency Ultrasound (UHFUS) enables the visualization of highly deformable small and medium vessels in the hand. Intricate vessel-based measurements, such as intimal wa…