B. Antony

发表

Automated 3D Segmentation of Intraretinal Surfaces in SD-OCT Volumes in Normal and Diabetic Mice.

Michael D Abràmoff, Mona K Garvin, Bhavna J Antony, 2014, Translational vision science & technology.

DIRECTIONAL OPTICAL COHERENCE TOMOGRAPHY PROVIDES ACCURATE OUTER NUCLEAR LAYER AND HENLE FIBER LAYER MEASUREMENTS

B. Lujan, A. Roorda, J. Duncan, 2015, Retina.

The Henle Fiber Layer in Albinism: Comparison to Normal and Relationship to Outer Nuclear Layer Thickness and Foveal Cone Density

B. Lujan, C. Summers, M. Brilliant, 2018, Investigative ophthalmology & visual science.

Artificial Intelligence for Clinical Trial Design.

Jianying Hu, B. Antony, S. Harrer, 2019, Trends in pharmacological sciences.

Automated segmentation of mouse OCT volumes (ASiMOV): Validation & clinical study of a light damage model

Aaron Carass, Jerry L. Prince, Jerry L Prince, 2017, PloS one.

Forecasting Retinal Nerve Fiber Layer Thickness from Multimodal Temporal Data Incorporating OCT Volumes.

G. Wollstein, H. Ishikawa, J. Schuman, 2020, Ophthalmology Glaucoma.

Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images

Milan Sonka, Nomdo M. Jansonius, Mona K. Garvin, 2011, Biomedical optics express.

Estimating Global Visual Field Indices in Glaucoma by Combining Macula and Optic Disc OCT Scans Using 3-Dimensional Convolutional Neural Networks.

G. Wollstein, H. Ishikawa, J. Schuman, 2020, Ophthalmology. Glaucoma.

Characterizing the Impact of Off-Axis Scan Acquisition on the Reproducibility of Total Retinal Thickness Measurements in SDOCT Volumes.

Gabriëlle H S Buitendijk, B. Lujan, C. Klaver, 2015, Translational vision science & technology.

Automated 3 D Segmentation of Intraretinal Surfaces in SD-OCT Volumes in Normal and Diabetic Mice

M. Abràmoff, M. Garvin, B. Antony, 2014 .

Automated Method for the Flattening of Optical Coherence Tomography Images

Milan Sonka, Mona K. Garvin, Michael D. Abràmoff, 2010 .

Obtaining Improved 3-D SD-OCT Intraretinal Layer Segmentation Results Through the Use of Textural Features in a Graph-Theoretic Approach

Milan Sonka, Mona K. Garvin, Young H. Kwon, 2012 .

Use of a GPU-Based k-NN Implementation Can Provide Substantial Speedup for Classification of Retinal Imaging Data

Qiao Hu, Wenxiang Deng, Mona K. Garvin, 2014 .

Machine-Learning-Based Retinal Vessel Segmentation in Spectral-Domain Optical Coherence Tomography Volumes of Mice

Wenxiang Deng, Mona K. Garvin, Michael D. Abràmoff, 2014 .

Segmentation of Multiple Intra-retinal Surfaces in Volumetric SD-OCT Images of Mouse Eyes Using an Improved Iowa Reference Algorithm

Mona K. Garvin, Michael D. Abràmoff, Bhavna J. Antony, 2013 .

Retinal thickness changes in mice with streptozotocin-induced diabetes mellitus quantified using an enhanced Iowa Reference Algorithm

Mona K. Garvin, Michael D. Abràmoff, Bhavna J. Antony, 2013 .

Analysis of Agreement of Retinal-Layer Thickness Measures Derived from the Segmentation of Horizontal and Vertical Spectralis OCT Macular Scans

Jerry L Prince, Andrew Lang, P. Bhargava, 2018, Current eye research.

A feature agnostic approach for glaucoma detection in OCT volumes

Hiroshi Ishikawa, Stefan Maetschke, Bhavna J. Antony, 2018, PloS one.

Directional Reflectivity of the Ellipsoid Zone in Dry Age-Related Macular Degeneration.

B. Lujan, Yali Jia, B. Antony, 2021, Ophthalmic surgery, lasers & imaging retina.

Uncertainty Guided Semi-supervised Segmentation of Retinal Layers in OCT Images

Gadi Wollstein, Rahil Garnavi, Suman Sedai, 2019, MICCAI.

Retinal optical coherence tomography image enhancement via deep learning.

Hiroshi Ishikawa, Gadi Wollstein, Joel S Schuman, 2018, Biomedical optics express.

Voxel Based Morphometry in Optical Coherence Tomography: Validation & Core Findings

B. Jedynak, A. Carass, Omar Al-Louzi, 2021 .

Collaborative SDOCT segmentation and analysis software

Aaron Carass, Jerry L Prince, Yeyi Yun, 2017, Medical Imaging.

Longitudinal analysis of mouse SDOCT volumes

Aaron Carass, Jerry L. Prince, Jerry L Prince, 2017, Medical Imaging.

Voxel based morphometry in optical coherence tomography: validation and core findings

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2016, SPIE Medical Imaging.

Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images Using Bayesian Deep Learning

Dwarikanath Mahapatra, Rahil Garnavi, Suman Sedai, 2018, COMPAY/OMIA@MICCAI.

Layer boundary evolution method for macular OCT layer segmentation.

Aaron Carass, Yufan He, Yihao Liu, 2019, Biomedical optics express.

Attention-Guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association Using Volumetric Images

Gadi Wollstein, Hiroshi Ishikawa, Rahil Garnavi, 2020, IEEE Journal of Biomedical and Health Informatics.

Novel method using 3-dimensional segmentation in spectral domain-optical coherence tomography imaging in the chick reveals defocus-induced regional and time-sensitive asymmetries in the choroidal thickness

M. Abràmoff, C. Wildsoet, B. Antony, 2016, Visual Neuroscience.

Segmentation of the Retinal Vasculature within Spectral-Domain Optical Coherence Tomography Volumes of Mice

Wenxiang Deng, Mona K. Garvin, Michael D. Abràmoff, 2015 .

Simultaneous segmentation of retinal surfaces and microcystic macular edema in SDOCT volumes

Peter A. Calabresi, Aaron Carass, Jerry L. Prince, 2016, SPIE Medical Imaging.

Inference of visual field test performance from OCT volumes using deep learning pdf

Gadi Wollstein, Rahil Garnavi, Stefan Maetschke, 2019, arXiv.org.

Automated 3D segmentation of intraretinal layers from optic nerve head optical coherence tomography images

Mona K. Garvin, Priya Gupta, Kyungmoo Lee, 2010, Medical Imaging.

Deformable medical image registration using generative adversarial networks

Dwarikanath Mahapatra, Rahil Garnavi, Suman Sedai, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Dueling Deep Q-Network For Unsupervised Inter-Frame Eye Movement Correction In Optical Coherence Tomography Volumes pdf

Gadi Wollstein, Hiroshi Ishikawa, Rahil Garnavi, 2020, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Automated 3D Segmentation of Multiple Surfaces with a Shared Hole: Segmentation of the Neural Canal Opening in SD-OCT Volumes

Mona Kathryn Garvin, Young H. Kwon, Michael D. Abràmoff, 2014, MICCAI.

A combined machine-learning and graph-based framework for the 3-d automated segmentation of retinal structures in sd-oct images

Mona K. Garvin, Bhavna J. Antony, M. Garvin, 2013 .

Automated summarisation of SDOCT volumes using deep learning: Transfer learning vs de novo trained networks

Rahil Garnavi, Stefan Maetschke, Bhavna Josephine Antony, 2018, bioRxiv.

Automated 3-D segmentation of intraretinal layers from optical coherence tomography images centered on the optic nerve head

Bhavna Josephine Antony, B. Antony, 2009 .

Incorporation of texture-based features in optimal graph-theoretic approach with application to the 3D segmentation of intraretinal surfaces in SD-OCT volumes

Milan Sonka, Mona Kathryn Garvin, Young H. Kwon, 2012, Medical Imaging.