Michael V. Boland

According to our database, Michael V. Boland authored at least 14 papers between 2000 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

CataractSAM-2: A Domain-Adapted Model for Anterior Segment Surgery Segmentation and Scalable Ground-Truth Annotation.

Mohammad Eslami, Dhanvinkumar Ganeshkumar, Saber Kazeminasab, Michael G. Morley, Michael V. Boland, Michael M. Lin, John B. Miller, David S. Friedman, Nazlee Zebardast, Lucia Sobrin, Tobias Elze

CoRR, March, 2026

2025

Equitable artificial intelligence for glaucoma screening with fair identity normalization.

Min Shi, Yan Luo, Yu Tian, Lucy Q. Shen, Nazlee Zebardast, Mohammad Eslami, Saber Kazeminasab, Michael V. Boland, David S. Friedman, Louis R. Pasquale, Mengyu Wang

npj Digit. Medicine, 2025

Ocular Imaging Challenges, Current State, and a Path to Interoperability: A HIMSS-SIIM Enterprise Imaging Community Whitepaper.

Kerry E. Goetz, Michael V. Boland, Zhongdi Chu, Amberlynn A. Reed, Shawn D. Clark, Alexander J. Towbin, Boonkit Purt, Kevin A. O'Donnell, Marilyn M. Bui, Monief Eid, Christopher J. Roth, Damien M. Luviano, Les R. Folio

J. Imaging Inform. Medicine, 2025

2023

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma.

Min Shi, Anagha Lokhande, Mojtaba Sedigh Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R. Pasquale, Tobias Elze, Michael V. Boland, Nazlee Zebardast, David S. Friedman, Lucy Q. Shen, Mengyu Wang

IEEE J. Biomed. Health Informatics, September, 2023

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

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, Carrie Jane Wallace, Michael P. Young, Dean F. Sittig, Mary Suchyta, James E. Pearl, Antinio Pesenti, Michela Bombino, Eduardo Beck, Katherine A. Sward, Charlene R. Weir, Shobha Phansalkar, Gordon R. Bernard, B. Taylor Thompson, Roy Brower, Jonathon D. Truwit, Jay S. Steingrub, R. Duncan Hite, Douglas F. Willson, Jerry J. Zimmerman, Vinay Nadkarni, Adrienne G. Randolph, Martha A. Q. Curley, Christopher J. L. Newth, Jacques Lacroix, Michael S. D. Agus, Kang Hoe Lee, Bennett P. deBoisblanc, Frederick Alan Moore, R. Scott Evans, Dean K. Sorenson, Anthony Wong, Michael V. Boland, Willard H. Dere, Alan S. Crandall, Julio C. Facelli, Stanley M. Huff, Peter J. Haug, Ulrike Pielmeier, Stephen Edward Rees, Dan S. Karbing, Steen Andreassen, Eddy Fan, Roberta M. Goldring, Kenneth I. Berger, Beno W. Oppenheimer, Eugene Wesley Ely, Brian W. Pickering, David A. Schoenfeld, Irena Tocino, Russell S. Gonnering, Peter J. Pronovost, Lucy A. Savitz, Didier Dreyfuss, Arthur S. Slutsky, James D. Crapo, Michael R. Pinsky, Brent James, Donald M. Berwick

J. Am. Medical Informatics Assoc., 2022

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images.

Min Shi, Anagha Lokhande, Mojtaba Sedigh Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R. Pasquale, Tobias Elze, Michael V. Boland, Nazlee Zebardast, David S. Friedman, Lucy Q. Shen, Mengyu Wang

CoRR, 2022

2021

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, Dean F. Sittig, Antonio Pesenti, Michela Bombino, Eduardo Beck, Katherine A. Sward, Charlene R. Weir, Shobha S. Phansalkar, Gordon R. Bernard, B. Taylor Thompson, Roy Brower, Jonathon D. Truwit, Jay S. Steingrub, R. Duncan Hite, Douglas F. Willson, Jerry J. Zimmerman, Vinay M. Nadkarni, Adrienne Randolph, Martha A. Q. Curley, Christopher J. L. Newth, Jacques Lacroix, Michael S. D. Agus, Kang H. Lee, Bennett P. deBoisblanc, R. Scott Evans, Dean K. Sorenson, Anthony Wong, Michael V. Boland, David W. Grainger, Willard H. Dere, Alan S. Crandall, Julio C. Facelli, Stanley M. Huff, Peter J. Haug, Ulrike Pielmeier, Stephen Edward Rees, Dan S. Karbing, Steen Andreassen, Eddy Fan, Roberta M. Goldring, Kenneth I. Berger, Beno W. Oppenheimer, Eugene Wesley Ely, Ognjen Gajic, Brian W. Pickering, David A. Schoenfeld, Irena Tocino, Russell S. Gonnering, Peter J. Pronovost, Lucy A. Savitz, Didier Dreyfuss, Arthur S. Slutsky, James D. Crapo, Derek C. Angus, Michael R. Pinsky, Brent James, Donald M. Berwick

J. Am. Medical Informatics Assoc., 2021

2020

Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis.

Sidharth Mahotra, Mengyu Wang, 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

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018

Glaucoma Monitoring Using Manifold Learning and Unsupervised Clustering.

Siamak Yousefi, Tobias Elze, Louis R. Pasquale, Michael V. Boland

Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

2010

A new method for determining physician decision thresholds using empiric, uncertain recommendations.

Michael V. Boland, Harold P. Lehmann

BMC Medical Informatics Decis. Mak., 2010

2005

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

2001

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

2000

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

Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, 2000