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Michael V. Boland
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2020 – today
- 2023
- [j6]Min Shi, Anagha Lokhande
, Mojtaba Sedigh Fazli
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma. IEEE J. Biomed. Health Informatics 27(9): 4329-4340 (2023) - [i2]Xiaoqin Huang, Asma Poursoroush, Jian Sun, Michael V. Boland, Chris Johnson, Siamak Yousefi:
Identifying factors associated with fast visual field progression in patients with ocular hypertension based on unsupervised machine learning. CoRR abs/2309.15867 (2023) - 2022
- [j5]Alan H. Morris
Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy. J. Am. Medical Informatics Assoc. 30(1): 178-194 (2022) - [i1]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:
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images. CoRR abs/2209.00773 (2022) - 2021
- [j4]Alan H. Morris
Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions. J. Am. Medical Informatics Assoc. 28(6): 1330-1344 (2021) - 2020
- [c3]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:
Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis. IEEE BigData 2020: 3775-3782
2010 – 2019
- 2018
- [c2]Siamak Yousefi, Tobias Elze, Louis R. Pasquale, Michael V. Boland
Glaucoma Monitoring Using Manifold Learning and Unsupervised Clustering. IVCNZ 2018: 1-6 - 2010
- [j3]Michael V. Boland
A new method for determining physician decision thresholds using empiric, uncertain recommendations. BMC Medical Informatics Decis. Mak. 10: 20 (2010)
2000 – 2009
- 2005
- [j2]Ting Zhao, Meel Velliste, Michael V. Boland
Object Type Recognition for Automated Analysis of Protein Subcellular Location. IEEE Trans. Image Process. 14(9): 1351-1359 (2005) - 2001
- [j1]Michael V. Boland
A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells. Bioinform. 17(12): 1213-1223 (2001) - 2000
- [c1]Robert F. Murphy, Michael V. Boland, Meel Velliste:
Towards a Systematics for Protein Subcellular Location: Quantitative Description of Protein Localization Patterns and Automated Analysis of Fluorescence Microscope Images. ISMB 2000: 251-259
Coauthor Index
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