|Identifying medical diagnoses and treatable diseases by image-based deep learning|
DS Kermany, M Goldbaum, W Cai, CCS Valentim, H Liang, SL Baxter, ...
cell 172 (5), 1122-1131. e9, 2018
|Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response|
AD Hoover, V Kouznetsova, M Goldbaum
IEEE Transactions on Medical imaging 19 (3), 203-210, 2000
|Detection of blood vessels in retinal images using two-dimensional matched filters|
S Chaudhuri, S Chatterjee, N Katz, M Nelson, M Goldbaum
IEEE Transactions on medical imaging 8 (3), 263-269, 1989
|Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels|
A Hoover, M Goldbaum
IEEE transactions on medical imaging 22 (8), 951-958, 2003
|Labeled optical coherence tomography (oct) and chest x-ray images for classification|
D Kermany, K Zhang, M Goldbaum
Mendeley data 2 (2), 651, 2018
|Beneficial effects of intensive therapy of diabetes during adolescence: outcomes after the conclusion of the Diabetes Control and Complications Trial (DCCT)|
PA Cleary, W Dahms, D Goldstein, J Malone, WV Tamborlane
J Pediatr 139 (1), 804-12, 2001
|Sustained effect of intensive treatment of type 1 diabetes mellitus on development and progression of diabetic nephropathy: the Epidemiology of Diabetes Interventions and …|
TWT for the Diabetes, ...
JAMA: the journal of the American Medical Association 290 (16), 2159, 2003
|Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence|
H Liang, BY Tsui, H Ni, CCS Valentim, SL Baxter, G Liu, W Cai, ...
Nature medicine 25 (3), 433-438, 2019
|Measurement and classification of retinal vascular tortuosity|
WE Hart, M Goldbaum, B Côté, P Kube, MR Nelson
International journal of medical informatics 53 (2-3), 239-252, 1999
|Performance of deep learning architectures and transfer learning for detecting glaucomatous optic neuropathy in fundus photographs|
M Christopher, A Belghith, C Bowd, JA Proudfoot, MH Goldbaum, ...
Scientific reports 8 (1), 16685, 2018
|Comparison of machine learning and traditional classifiers in glaucoma diagnosis|
K Chan, TW Lee, PA Sample, MH Goldbaum, RN Weinreb, TJ Sejnowski
IEEE Transactions on Biomedical Engineering 49 (9), 963-974, 2002
|Automated diagnosis and image understanding with object extraction, object classification, and inferencing in retinal images|
M Goldbaum, S Moezzi, A Taylor, S Chatterjee, J Boyd, E Hunter, R Jain
Proceedings of 3rd IEEE international conference on image processing 3, 695-698, 1996
|Silicone oil tamponade to seal macular holes without position restrictions|
MH Goldbaum, BW McCuen 2nd, AM Hanneken, SK Burgess, HH Chen
Ophthalmology 105 (11), 2140-2148, 1998
|Comparing machine learning classifiers for diagnosing glaucoma from standard automated perimetry|
MH Goldbaum, PA Sample, K Chan, J Williams, TW Lee, E Blumenthal, ...
Investigative ophthalmology & visual science 43 (1), 162-169, 2002
|Large dataset of labeled optical coherence tomography (oct) and chest x-ray images|
D Kermany, K Zhang, M Goldbaum
Mendeley Data 3 (10.17632), 2018
|Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic disc|
C Bowd, K Chan, LM Zangwill, MH Goldbaum, TW Lee, TJ Sejnowski, ...
Investigative ophthalmology & visual science 43 (11), 3444-3454, 2002
|Interpretation of automated perimetry for glaucoma by neural network.|
MH Goldbaum, PA Sample, H White, B Colt, P Raphaelian, RD Fechtner, ...
Investigative ophthalmology & visual science 35 (9), 3362-3373, 1994
|Heidelberg retina tomograph measurements of the optic disc and parapapillary retina for detecting glaucoma analyzed by machine learning classifiers|
LM Zangwill, K Chan, C Bowd, J Hao, TW Lee, RN Weinreb, TJ Sejnowski, ...
Investigative ophthalmology & visual science 45 (9), 3144-3151, 2004
|Automated measurement of retinal vascular tortuosity.|
WE Hart, M Goldbaum, B Cote, P Kube, MR Nelson
Proceedings of the AMIA Annual Fall Symposium, 459, 1997
|Assessing susceptibility to age-related macular degeneration with genetic markers and environmental factors|
Y Chen, J Zeng, C Zhao, K Wang, E Trood, J Buehler, M Weed, D Kasuga, ...
Archives of ophthalmology 129 (3), 344-351, 2011