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 | 126 | 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 | 57 | 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 | 46 | 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 | 32 | 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 | 27 | 2018 |
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 | 18 | 2018 |
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 | 17 | 2017 |
Optimal surface segmentation with convex priors in irregularly sampled space A Shah, MD Abámoff, X Wu Medical image analysis 54, 63-75, 2019 | 16 | 2019 |
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 | 16 | 2014 |
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 | 9 | 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 | 7* | 2019 |
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 | 4 | 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 | 1 | 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 | 1 | 2020 |
Dynamic adjustment of flash intensity based on retinal pigmentation WJ Clarida, RER Amelon, A Shah, JP Suther, M Niemeijer, MD Abramoff US Patent 11,980,420, 2024 | | 2024 |
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 | | 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 | | 2017 |
Multiple surface segmentation using novel deep learning and graph based methods A Shah The University of Iowa, 2017 | | 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 | | 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 | | |