Abhay Shah
Abhay Shah
Digital Diagnostics
No verified email
Cited by
Cited by
Multiple surface segmentation using convolution neural nets: application to retinal layer segmentation in OCT images
A Shah, L Zhou, MD Abrámoff, X Wu
Biomedical optics express 9 (9), 4509-4526, 2018
Validation of automated screening for referable diabetic retinopathy with an autonomous diagnostic artificial intelligence system in a Spanish population
A Shah, W Clarida, R Amelon, MC Hernaez-Ortega, A Navea, ...
Journal of diabetes science and technology 15 (3), 655-663, 2021
Susceptibility to misdiagnosis of adversarial images by deep learning based retinal image analysis algorithms
A Shah, S Lynch, M Niemeijer, R Amelon, W Clarida, J Folk, S Russell, ...
2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018
Simultaneous Multiple Surface Segmentation Using Deep Learning
A Shah, M Abramoff, X Wu
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
A rapid 3D fat–water decomposition method using globally optimal surface estimation (R‐GOOSE)
C Cui, A Shah, X Wu, M Jacob
Magnetic resonance in medicine 79 (4), 2401-2407, 2018
Optimal surface segmentation with convex priors in irregularly sampled space
A Shah, MD Abámoff, X Wu
Medical image analysis 54, 63-75, 2019
Catastrophic failure in image-based convolutional neural network algorithms for detecting diabetic retinopathy
SK Lynch, A Shah, JC Folk, X Wu, MD Abramoff
Investigative Ophthalmology & Visual Science 58 (8), 3776-3776, 2017
Automated surface segmentation of internal limiting membrane in spectral-domain optical coherence tomography volumes with a deep cup using a 3-d range expansion approach
A Shah, JK Wang, MK Garvin, M Sonka, X Wu
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 1405-1408, 2014
Optimal multi-object segmentation with novel gradient vector flow based shape priors
J Bai, A Shah, X Wu
Computerized medical imaging and graphics 69, 96-111, 2018
Multiple surface segmentation using truncated convex priors
A Shah, J Bai, Z Hu, S Sadda, X Wu
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015
Deep neural networks for surface segmentation meet conditional random fields
L Zhou, Z Zhong, A Shah, B Qiu, J Buatti, X Wu
arXiv preprint arXiv:1906.04714, 2019
Dynamic Adjustment of Flash Intensity Based on Retinal Pigmentation
WJ Clarida, RER Amelon, A Shah, JP Suther, M Niemeijer, MD Abramoff
US Patent App. 17/202,191, 2021
Optimal multiple surface segmentation with convex priors in irregularly sampled space
A Shah, J Bai, MD Abràmoff, X Wu
arXiv preprint arXiv:1611.03059, 2016
Using infrared to detect proper eye alignment before capturing retinal images
WJ Clarida, RER Amelon, A Shah, JP Suther, M Niemeijer, MD Abramoff
US Patent App. 16/997,843, 2022
Optimal surface segmentation with subvoxel accuracy in spectral domain optical coherence tomography images
A Shah, MD Abràmoff, X Wu
Diabetes and Retinopathy, 69-91, 2020
Image retention and stitching for minimal-flash eye disease diagnosis
WJ Clarida, RER Amelon, A Shah, JP Suther, M Niemeijer, MD Abramoff
US Patent 11,880,976, 2024
A novel method for Rapid 3D fat and water decomposition using a GlObally Optimal multi-surface Estimation (R-GOOSE)
C Cui, A Shah, X Wu, D Thedens, M Jacob
Proc. Intl. Soc. Mag. Reson. Med 25, 5180, 2017
Multiple surface segmentation using novel deep learning and graph based methods
A Shah
The University of Iowa, 2017
Automated Segmentation of Retinal Layers for Identification of Retinal Pigment Epithelial Detachments in Optical Coherence Tomography Images Using Truncated Convex Priors.
A Shah, Z Hu, SR Sadda, X Wu
Investigative Ophthalmology & Visual Science 57 (12), 5951-5951, 2016
A Fast and Globally Optimal 3-D Graph Search Algorithm for Phase Unwrapping in MRI with Applications in Quantitative Susceptibility Mapping (QSM)
C Cui, A Shah, CM Cushing, V Magnotta, X Wu, M Jacob
The system can't perform the operation now. Try again later.
Articles 1–20