Articles with public access mandates - Alican BozkurtLearn more
Not available anywhere: 1
An unsupervised machine learning method for delineating stratum corneum in reflectance confocal microscopy stacks of human skin in vivo
A Bozkurt, K Kose, CA Fox, J Dy, DH Brooks, M Rajadhyaksha
Photonic Therapeutics and Diagnostics XII 9689, 98-105, 2016
Mandates: US National Institutes of Health
Available somewhere: 13
Structured disentangled representations
B Esmaeili, H Wu, S Jain, A Bozkurt, N Siddharth, B Paige, DH Brooks, ...
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Mandates: US National Science Foundation, US National Institutes of Health, UK …
Computer-based image analysis for plus disease diagnosis in retinopathy of prematurity: performance of the “i-ROP” system and image features associated with expert diagnosis
E Ataer-Cansizoglu, V Bolon-Canedo, JP Campbell, A Bozkurt, ...
Translational vision science & technology 4 (6), 5-5, 2015
Mandates: US National Institutes of Health
Expert diagnosis of plus disease in retinopathy of prematurity from computer-based image analysis
JP Campbell, E Ataer-Cansizoglu, V Bolon-Canedo, A Bozkurt, ...
JAMA ophthalmology 134 (6), 651-657, 2016
Mandates: US National Institutes of Health
Deep learning methods for predicting disease status using genomic data
Q Wu, A Boueiz, A Bozkurt, A Masoomi, A Wang, DL DeMeo, ST Weiss, ...
Journal of biometrics & biostatistics 9 (5), 2018
Mandates: US National Institutes of Health
Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net)
K Kose, A Bozkurt, C Alessi-Fox, M Gill, C Longo, G Pellacani, JG Dy, ...
Medical image analysis 67, 101841, 2021
Mandates: US National Institutes of Health
Utilizing machine learning for image quality assessment for reflectance confocal microscopy
K Kose, A Bozkurt, C Alessi-Fox, DH Brooks, JG Dy, M Rajadhyaksha, ...
Journal of Investigative Dermatology 140 (6), 1214-1222, 2020
Mandates: US National Institutes of Health
A multiresolution convolutional neural network with partial label training for annotating reflectance confocal microscopy images of skin
A Bozkurt, K Kose, C Alessi-Fox, M Gill, J Dy, D Brooks, M Rajadhyaksha
International conference on medical image computing and computer-assisted …, 2018
Mandates: US National Institutes of Health
Rate-regularization and generalization in variational autoencoders
A Bozkurt, B Esmaeili, JB Tristan, D Brooks, J Dy, JW van de Meent
International Conference on Artificial Intelligence and Statistics, 3880-3888, 2021
Mandates: US National Science Foundation, US Department of Defense, US National …
Semantic segmentation of reflectance confocal microscopy mosaics of pigmented lesions using weak labels
M D’Alonzo, A Bozkurt, C Alessi-Fox, M Gill, DH Brooks, M Rajadhyaksha, ...
Scientific Reports 11 (1), 3679, 2021
Mandates: US National Institutes of Health
Delineation of skin strata in reflectance confocal microscopy images with recurrent convolutional networks
A Bozkurt, T Gale, K Kose, C Alessi-Fox, DH Brooks, M Rajadhyaksha, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Mandates: US National Institutes of Health
Unsupervised delineation of stratum corneum using reflectance confocal microscopy and spectral clustering
A Bozkurt, K Kose, C Alessi‐Fox, JG Dy, DH Brooks, M Rajadhyaksha
Skin Research and Technology 23 (2), 176-185, 2017
Mandates: US National Institutes of Health
Skin strata delineation in reflectance confocal microscopy images using recurrent convolutional networks with attention
A Bozkurt, K Kose, J Coll-Font, C Alessi-Fox, DH Brooks, JG Dy, ...
Scientific Reports 11 (1), 12576, 2021
Mandates: US National Institutes of Health
Rate-regularization and generalization in VAEs
A Bozkurt, B Esmaeili, JB Tristan, DH Brooks, JG Dy, JW van de Meent
arXiv preprint arXiv:1911.04594, 2019
Mandates: US National Science Foundation, US Department of Defense, US National …
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