| A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells MV Boland, RF Murphy Bioinformatics 17 (12), 1213-1223, 2001 | 590 | 2001 |
| Comparative effectiveness of treatments for open-angle glaucoma: a systematic review for the US Preventive Services Task Force MV Boland, AM Ervin, DS Friedman, HD Jampel, BS Hawkins, ... Annals of internal medicine 158 (4), 271-279, 2013 | 363 | 2013 |
| Risk factors and open-angle glaucoma: classification and application MV Boland, HA Quigley Journal of glaucoma 16 (4), 406-418, 2007 | 351 | 2007 |
| Choroidal thickness measured by spectral domain optical coherence tomography: factors affecting thickness in glaucoma patients EA Maul, DS Friedman, DS Chang, MV Boland, PY Ramulu, HD Jampel, ... Ophthalmology 118 (8), 1571-1579, 2011 | 342 | 2011 |
| Automated recognition of patterns characteristic of subcellular structures in fluorescence microscopy images MV Boland, MK Markey, RF Murphy Cytometry: The Journal of the International Society for Analytical Cytology …, 1998 | 317 | 1998 |
| Prevalence of glaucoma in the United States: the 2005–2008 national health and nutrition examination survey P Gupta, D Zhao, E Guallar, F Ko, MV Boland, DS Friedman Investigative ophthalmology & visual science 57 (6), 2905-2913, 2016 | 213 | 2016 |
| Evidence-based criteria for assessment of visual field reliability J Yohannan, J Wang, J Brown, BC Chauhan, MV Boland, DS Friedman, ... Ophthalmology 124 (11), 1612-1620, 2017 | 153 | 2017 |
| Towards a systematics for protein subcellular location: quantitative description of protein localization patterns and automated analysis of fluorescence microscope images. RF Murphy, MV Boland, M Velliste ISMB 8, 251-259, 2000 | 153 | 2000 |
| Diabetes, triglyceride levels, and other risk factors for glaucoma in the National Health and Nutrition Examination Survey 2005–2008 F Ko, MV Boland, P Gupta, SK Gadkaree, S Vitale, E Guallar, D Zhao, ... Investigative ophthalmology & visual science 57 (4), 2152-2157, 2016 | 109 | 2016 |
| Adoption and perceptions of electronic health record systems by ophthalmologists: an American Academy of Ophthalmology survey MF Chiang, MV Boland, JW Margolis, F Lum, MD Abramoff, ... Ophthalmology 115 (9), 1591-1597. e5, 2008 | 108 | 2008 |
| Artificial intelligence in glaucoma C Zheng, TV Johnson, A Garg, MV Boland Current opinion in ophthalmology 30 (2), 97-103, 2019 | 106 | 2019 |
| An artificial intelligence approach to detect visual field progression in glaucoma based on spatial pattern analysis M Wang, LQ Shen, LR Pasquale, P Petrakos, S Formica, MV Boland, ... Investigative ophthalmology & visual science 60 (1), 365-375, 2019 | 102 | 2019 |
| Automated telecommunication-based reminders and adherence with once-daily glaucoma medication dosing: the automated dosing reminder study MV Boland, DS Chang, T Frazier, R Plyler, JL Jefferys, DS Friedman JAMA ophthalmology 132 (7), 845-850, 2014 | 102 | 2014 |
| Electronic monitoring to assess adherence with once-daily glaucoma medications and risk factors for nonadherence: the automated dosing reminder study MV Boland, DS Chang, T Frazier, R Plyler, DS Friedman JAMA ophthalmology 132 (7), 838-844, 2014 | 98 | 2014 |
| Special requirements for electronic health record systems in ophthalmology MF Chiang, MV Boland, A Brewer, KD Epley, MB Horton, MC Lim, ... Ophthalmology 118 (8), 1681-1687, 2011 | 95 | 2011 |
| Visual defects in patients with pituitary adenomas: the myth of bitemporal hemianopsia IH Lee, NR Miller, E Zan, F Tavares, AM Blitz, H Sung, DM Yousem, ... American Journal of Roentgenology 205 (5), W512-W518, 2015 | 90 | 2015 |
| Optic disc morphology in open-angle glaucoma compared with anterior ischemic optic neuropathies HV Danesh-Meyer, MV Boland, PJ Savino, NR Miller, PS Subramanian, ... Investigative ophthalmology & visual science 51 (4), 2003-2010, 2010 | 88 | 2010 |
| Comparison of optic nerve head topography and visual field in eyes with open-angle and angle-closure glaucoma MV Boland, L Zhang, AT Broman, HD Jampel, HA Quigley Ophthalmology 115 (2), 239-245. e2, 2008 | 80 | 2008 |
| Assessing glaucoma progression using machine learning trained on longitudinal visual field and clinical data A Dixit, J Yohannan, MV Boland Ophthalmology 128 (7), 1016-1026, 2021 | 76 | 2021 |
| Incorporating a virtual curriculum into ophthalmology education in the coronavirus disease-2019 era K Mishra, MV Boland, FA Woreta Current opinion in ophthalmology 31 (5), 380-385, 2020 | 76 | 2020 |
David S FriedmanMassachusetts Eye and Ear, Harvard Universitymeei.harvard.edu의 이메일 확인됨