A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke. - Gopichandh Danala; Sai Kiran Reddy Maryada; Morteza Heidari; Bappaditya Ray; Masoom Desai; Bin Zheng 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification. - Morteza Heidari; Sivaramakrishnan Lakshmivarahan; Seyedehnafiseh Mirniaharikandehei; Gopichandh Danala; Sai Kiran Reddy Maryada; Hong Liu 003; Bin Zheng 001 (IEEE Trans. Biomed. Eng., 2021)

Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images. - Sai Kiran Reddy Maryada; William Booker; Gopichandh Danala; Catherine An Ha; Sanjana Mudduluru; Dean F. Hougen; Bin Zheng 001 (Computer-Aided Diagnosis, 2022)

Developing interactive computer-aided detection tools to support translational clinical research. - Gopichandh Danala; Seyedehnafiseh Mirniaharikandehei; Meredith A. Jones; Tiancheng Gai; Sai Kiran Reddy Maryada; Dee Wu; Yuchen Qiu; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2022)

Comparison of performance in breast lesions classification using radiomics and deep transfer learning: an assessment study. - Gopichandh Danala; Sai Kiran Reddy Maryada; Huong Pham; Warid Islam; Meredith A. Jones; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2022)

Improving medical image segmentation and classification using a novel joint deep learning model. - Sanjana Mudduluru; Sai Kiran Reddy Maryada; William Booker; Dean F. Hougen; Bin Zheng 001 (Computer-Aided Diagnosis, 2023)