9 citations · 15 across the 12 of their papers we have counts for
6 papers · 1 filter
MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI
Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee +6
Background: Segmentation of organs and structures in abdominal MRI is useful for many clinical applications, such as disease diagnosis and radiotherapy. Current approaches have foc…
Automated classification of multi-parametric body MRI series
Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm +1
Multi-parametric MRI (mpMRI) studies are widely available in clinical practice for the diagnosis of various diseases. As the volume of mpMRI exams increases yearly, there are conco…
Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT
David C. Oluigboa, Bikash Santra, Tejas Sudharshan Mathai +6
Pheochromocytomas and Paragangliomas (PPGLs) are rare adrenal and extra-adrenal tumors which have the potential to metastasize. For the management of patients with PPGLs, CT is the…
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks
Kimberly Helm, Tejas Sudharshan Mathai, Boah Kim +3
Multi-parametric MRI of the body is routinely acquired for the identification of abnormalities and diagnosis of diseases. However, a standard naming convention for the MRI protocol…
Weakly-Supervised Detection of Bone Lesions in CT
Tao Sheng, Tejas Sudharshan Mathai, Alexander Shieh +1
The skeletal region is one of the common sites of metastatic spread of cancer in the breast and prostate. CT is routinely used to measure the size of lesions in the bones. However,…
Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors
Tejas Sudharshan Mathai, Bohan Liu, Ronald M. Summers
Purpose: Lymph nodes (LNs) in the chest have a tendency to enlarge due to various pathologies, such as lung cancer or pneumonia. Clinicians routinely measure nodal size to monitor…