Conscious vs. subconscious perception, as a function of radiological expertise. - Mohammad A. Alzubaidi; John A. Black Jr.; Ameet Patel; Sethuraman Panchanathan (CBMS, 2009)

What catches a radiologist's eye? A comprehensive comparison of feature types for saliency prediction. - Mohammad A. Alzubaidi; Vineeth N. Balasubramanian; Ameet Patel; Sethuraman Panchanathan; John A. Black Jr. (Computer-Aided Diagnosis, 2010)

Toward the detection of abnormal chest radiographs the way radiologists do it. - Mohammad A. Alzubaidi; Ameet Patel; Sethuraman Panchanathan; John A. Black Jr. (Computer-Aided Diagnosis, 2011)

Efficient atypicality detection in chest radiographs. - Mohammad A. Alzubaidi; Vineeth Nallure Balasubramanian; Ameet Patel; Sethuraman Panchanathan; John A. Black Jr. (ISSPA, 2012)

A novel semi-transductive learning framework for efficient atypicality detection in chest radiographs. - Mohammad A. Alzubaidi; Vineeth N. Balasubramanian; Ameet Patel; Sethuraman Panchanathan; John A. Black Jr. (Computer-Aided Diagnosis, 2012)

A novel online Variance Based Instance Selection (VBIS) method for efficient atypicality detection in chest radiographs. - Mohammad A. Alzubaidi; Vineeth N. Balasubramanian; Ameet Patel; Sethuraman Panchanathan; John A. Black Jr. (Image Processing, 2012)

Transferable Variational Feedback Network for Vendor Generalization in Accelerated MRI. - Riti Paul; Sahil Vora; Pak Lun Kevin Ding; Ameet Patel; Leland Hu; Baoxin Li; Yuxiang Zhou (AIiH (2), 2024)

MEDL: Unsupervised Multi-Stage Ensemble Deep Learning With Diffusion Models for Denoising MRI Scans. - Sahil Vora; Riti Paul; Pak Lun Kevin Ding; Ameet Patel; Leland Hu; Richard Sharpe; Yuxiang Zhou; Baoxin Li (ISBI, 2025)