4 papers
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation
Jianfei Liu, Christopher Parnell, Ronald M. Summers
Accurate training labels are a key component for multi-class medical image segmentation. Their annotation is costly and time-consuming because it requires domain expertise. This wo…
Automated Plaque Detection and Agatston Score Estimation on Non-Contrast CT Scans: A Multicenter Study
Andrew M. Nguyen, Jianfei Liu, Tejas Sudharshan Mathai +2
Coronary artery calcification (CAC) is a strong and independent predictor of cardiovascular disease (CVD). However, manual assessment of CAC often requires radiological expertise,…
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…