Image Based Artificial Intelligence in Wound Assessment: A Systematic Review. - D. M. Anisuzzaman; Chuanbo Wang; Behrouz Rostami; Sandeep Gopalakrishnan; Jeffrey A. Niezgoda; Zeyun Yu (CoRR, 2020)

Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks. - Chuanbo Wang; D. M. Anisuzzaman; Victor Williamson; Mrinal Kanti Dhar; Behrouz Rostami; Jeffrey A. Niezgoda; Sandeep Gopalakrishnan; Zeyun Yu (CoRR, 2020)

A deep learning study on osteosarcoma detection from histological images. - D. M. Anisuzzaman; Hosein Barzekar; Ling Tong 002; Jake Luo; Zeyun Yu (Biomed. Signal Process. Control., 2021)

Multiclass wound image classification using an ensemble deep CNN-based classifier. - Behrouz Rostami; D. M. Anisuzzaman; Chuanbo Wang; Sandeep Gopalakrishnan; Jeffrey A. Niezgoda; Zeyun Yu (Comput. Biol. Medicine, 2021)

Multi-modal Wound Classification using Wound Image and Location by Deep Neural Network. - D. M. Anisuzzaman; Yash Patel; Behrouz Rostami; Jeffrey A. Niezgoda; Sandeep Gopalakrishnan; Zeyun Yu (CoRR, 2021)

A Mobile App for Wound Localization Using Deep Learning. - D. M. Anisuzzaman; Yash Patel; Jeffrey A. Niezgoda; Sandeep Gopalakrishnan; Zeyun Yu (IEEE Access, 2022)

Wound Severity Classification using Deep Neural Network. - D. M. Anisuzzaman; Yash Patel; Jeffrey A. Niezgoda; Sandeep Gopalakrishnan; Zeyun Yu (CoRR, 2022)

Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks. - Farnaz H. Foomani; D. M. Anisuzzaman; Jeffrey A. Niezgoda; Jonathan Niezgoda; William Guns; Sandeep Gopalakrishnan; Zeyun Yu (J. Biomed. Informatics, 2022)