Michael V. Boland

14 papers A 1Misc 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
CataractSAM-2: A Domain-Adapted Model for Anterior Segment Surgery Segmentation and Scalable Ground-Truth Annotation.
CoRR
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
2025 J jnl
Equitable artificial intelligence for glaucoma screening with fair identity normalization.
npj Digit. Medicine
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
2025 J jnl
Ocular Imaging Challenges, Current State, and a Path to Interoperability: A HIMSS-SIIM Enterprise Imaging Community Whitepaper.
J. Imaging Inform. Medicine
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
2023 J jnl
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma.
IEEE J. Biomed. Health Informatics
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
2023 J jnl
Identifying factors associated with fast visual field progression in patients with ocular hypertension based on unsupervised machine learning.
CoRR
Xiaoqin Huang, Asma Poursoroush, Jian Sun, Michael V. Boland, Chris Johnson, Siamak Yousefi
2022 J jnl
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images.
CoRR
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
2022 J jnl
Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy.
J. Am. Medical Informatics Assoc.
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
2021 J jnl
Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions.
J. Am. Medical Informatics Assoc.
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
2020 — conf
Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis.
IEEE BigData
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
2018 Misc conf
Glaucoma Monitoring Using Manifold Learning and Unsupervised Clustering.
IVCNZ
Siamak Yousefi, Tobias Elze, Louis R. Pasquale, Michael V. Boland
2010 J jnl
A new method for determining physician decision thresholds using empiric, uncertain recommendations.
BMC Medical Informatics Decis. Mak.
Michael V. Boland, Harold P. Lehmann
2005 J jnl
Object Type Recognition for Automated Analysis of Protein Subcellular Location.
IEEE Trans. Image Process.
Ting Zhao, Meel Velliste, Michael V. Boland, Robert F. Murphy
2001 J jnl
A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells.
Bioinform.
Michael V. Boland, Robert F. Murphy
2000 A conf
Towards a Systematics for Protein Subcellular Location: Quantitative Description of Protein Localization Patterns and Automated Analysis of Fluorescence Microscope Images.
ISMB
Robert F. Murphy, Michael V. Boland, Meel Velliste