Automatic detection of diabetic retinopathy features in ultra-wide field retinal images. - Anastasia Levenkova; Arcot Sowmya; Michael Kalloniatis; Angelica Ly; Arthur Ho (Computer-Aided Diagnosis, 2017)

Lesion detection in ultra-wide field retinal images for diabetic retinopathy diagnosis. - Anastasia Levenkova; Arcot Sowmya; Michael Kalloniatis; Angelica Ly; Arthur Ho (Computer-Aided Diagnosis, 2018)

Use of uncertainty quantification as a surrogate for layer segmentation error in Stargardt disease retinal OCT images. - David Alonso-Caneiro; Jason Kugelman; Janelle Tong; Michael Kalloniatis; Fred K. Chen; Scott A. Read; Michael J. Collins 001 (DICTA, 2021)

Development of a rabbit model of Adenosine triphosphate-induced monocular retinal degeneration for optimization of retinal prostheses. - Hallur Reynisson; Lisa Nivison-Smith; Nigel H. Lovell; Michael Kalloniatis; Mohit N. Shivdasani (EMBC, 2023)

RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation. - Md. Wahiduzzaman Khan; Hongwei Sheng; Hu Zhang 005; Heming Du; Sen Wang 001; Minas Theodore Coroneo; Farshid Hajati; Sahar Shariflou; Michael Kalloniatis; Jack Phu; Ashish Agar; Zi Huang; et al. (NeurIPS, 2023)

Enhancing Glaucoma Diagnosis through Vision-Language Models and Large Language Model Descriptions. - Heui Yeon Bae; Morteza Saberi; Sahar Shariflou; Michael Kalloniatis; Jack Phu; Ashish Agar; Ali Cheraghian; S. Mojtaba Golzan (DICTA, 2024)