Towards a Systematics for Protein Subcellular Location: Quantitative Description of Protein Localization Patterns and Automated Analysis of Fluorescence Microscope Images. - Robert F. Murphy; Michael V. Boland; Meel Velliste (ISMB, 2000)

A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells. - Michael V. Boland; Robert F. Murphy (Bioinform., 2001)

Object Type Recognition for Automated Analysis of Protein Subcellular Location. - Ting Zhao; Meel Velliste; Michael V. Boland; Robert F. Murphy (IEEE Trans. Image Process., 2005)

A new method for determining physician decision thresholds using empiric, uncertain recommendations. - Michael V. Boland; Harold P. Lehmann (BMC Medical Informatics Decis. Mak., 2010)

Glaucoma Monitoring Using Manifold Learning and Unsupervised Clustering. - Siamak Yousefi; Tobias Elze; Louis R. Pasquale; Michael V. Boland (IVCNZ, 2018)

Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis. - Sidharth Mahotra; Mengyu Wang 001; Tobias Elze; Michael V. Boland; Louis R. Pasquale; Juleke Majoor; Koen A. Vermeer; Chris Johnson; Kouros Nouri-Mahdavi; Hans G. Lemij; Michael H. Goldbaum; Siamak Yousefi (IEEE BigData, 2020)

Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions. - Alan H. Morris; Brian Stagg; Michael Lanspa; James Orme; Terry P. Clemmer; Lindell K. Weaver; Frank Thomas; Colin K. Grissom; Ellie Hirshberg; Thomas D. East; Carrie Jane Wallace; Michael P. Young; et al. (J. Am. Medical Informatics Assoc., 2021)

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images. - Min Shi 001; Anagha Lokhande; Mojtaba Sedigh Fazli; Vishal Sharma; Yu Tian 001; Yan Luo 002; Louis R. Pasquale; Tobias Elze; Michael V. Boland; Nazlee Zebardast; David S. Friedman; Lucy Q. Shen; et al. (CoRR, 2022)

Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy. - Alan H. Morris; Christopher Horvat; Brian Stagg; David W. Grainger; Michael Lanspa; James Orme; Terry P. Clemmer; Lindell K. Weaver; Frank Thomas; Colin K. Grissom; Ellie Hirshberg; Thomas D. East; et al. (J. Am. Medical Informatics Assoc., 2022)

Identifying factors associated with fast visual field progression in patients with ocular hypertension based on unsupervised machine learning. - Xiaoqin Huang; Asma Poursoroush; Jian Sun; Michael V. Boland; Chris Johnson; Siamak Yousefi (CoRR, 2023)

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma. - Min Shi 001; Anagha Lokhande; Mojtaba Sedigh Fazli; Vishal Sharma; Yu Tian 001; Yan Luo 002; Louis R. Pasquale; Tobias Elze; Michael V. Boland; Nazlee Zebardast; David S. Friedman; Lucy Q. Shen; et al. (IEEE J. Biomed. Health Informatics, 2023)

Equitable artificial intelligence for glaucoma screening with fair identity normalization. - Min Shi 001; Yan Luo 002; Yu Tian 001; Lucy Q. Shen; Nazlee Zebardast; Mohammad Eslami; Saber Kazeminasab; Michael V. Boland; David S. Friedman; Louis R. Pasquale; Mengyu Wang 001 (npj Digit. Medicine, 2025)