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ARVO Imaging in the Eye Conference Abstract August 2021

Evaluation of an OCT B-scan of interest tool in eyes before and after cataract surgery

Gary Lee; Susan Su; Patricia Sha; Aaron Lech; Mary Durbin; Hugang Ren; Niranchana Manivannan

Invest. Ophthalmol. Vis. Sci.. 2021; 62(11):1. doi:

ARVO Imaging in the Eye Conference Abstract August 2021

Using image similarity score to select images for training deep learning models to optimize annotation and computational resources

Niranchana Manivannan; Gary Lee; Lars Omlor; Hugang Ren; Sophia Yu; Rishi P. Singh; Katherine Talcott; Alline G.R. Melo; Tyler E. Greenlee; Eric R. Chen; Thais F. Conti; Mary Kathryn Durbin

Invest. Ophthalmol. Vis. Sci.. 2021; 62(11):61. doi:

ARVO Imaging in the Eye Conference Abstract August 2021

3D deep learning algorithm for denoising OCTA volumes acquired at 1.68 MHz A-scan-rate

Michael Niederleithner; Anja Britten; Philipp Matten; Niranchana Manivannan; Aditya Nair; Lars Omlor; Rainer Leitgeb; Wolfgang Drexler; Tilman Schmoll

Invest. Ophthalmol. Vis. Sci.. 2021; 62(11):65. doi:

ARVO Imaging in the Eye Conference Abstract August 2021

Image quality and artifact feedback for fundus imaging using edge device for teleretinal application

Lars Omlor; Taylor Shagam; Simon Bello; Hugang Ren; Laura Tracewell; Bryan Rogoff; Patricia Sha; Nolleisha Graves; Dorothy Hitchmoth; Mary Kathryn Durbin; Niranchana Manivannan

Invest. Ophthalmol. Vis. Sci.. 2021; 62(11):70. doi:

ARVO Imaging in the Eye Conference Abstract August 2021

Weighted Feature Matching registration for tracking choroidal tumors using flicker presentation

Patricia Sha; Niranchana Manivannan; Susan Su; Angelina Covita; Archana Kolli; Sandor R Ferenczy; Carol L; Mary Kathryn Durbin

Invest. Ophthalmol. Vis. Sci.. 2021; 62(11):73. doi:

ARVO Imaging in the Eye Conference Abstract August 2021

Effect of pupil alignment on peripheral refraction mapping

Katharina G. Foote; Conor Leahy; Niranchana Manivannan; Aditya Nair; Alejandro Millan; Matt Everett; Jochen Straub

Invest. Ophthalmol. Vis. Sci.. 2021; 62(11):54. doi:

ARVO Annual Meeting Abstract June 2021

Improving OCT B-Scan classification feature attribution maps with adversarial training

Nathalia Spier; Ghazal Ghazaei; Alexander Urich; Eva Hoeck; Gary C Lee; Niranchana Manivannan

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2104. doi:

ARVO Annual Meeting Abstract June 2021

Evaluation of Federated Learning for OCT B-scan classification

Robin Hirt; Christian Kungel; Caroline Dieterich; Gary C Lee; Dominik Fischer; Niranchana Manivannan; Aditya Nair; Hugang Ren; Sophia Yu; Alexander Urich

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2103. doi:

ARVO Annual Meeting Abstract June 2021

Analysis of agreement of clinical experts to B-scan of interest algorithm

Mahsa Darvishzadeh Varcheie; Katherine Makedonsky; Gary C Lee; Vidya Kulkarni; Hugang Ren; Aaron Lech; Laura Tracewell; Rishi P Singh; Katherine Talcott; Niranchana Manivannan; Mary K Durbin

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2450. doi:

ARVO Annual Meeting Abstract June 2021

Deep learning based binary image quality algorithm for low-cost fundus imaging system in remote care settings

Taylor Shagam; Minhaj Alam; Simon Bello; Laura Tracewell; Bryan Rogoff; Patricia Sha; Noli Graves; Dorothy Hitchmoth; Mary K Durbin; Niranchana Manivannan

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):100. doi:

ARVO Annual Meeting Abstract June 2021

Weighted feature point matching for registration of widefield fundus images

Niranchana Manivannan; Susan Su; Archana Kolli; Angelina Covita; Sandor Ferenczy; Carol Shields; Mary K Durbin

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1794. doi:

ARVO Annual Meeting Abstract June 2021

Optimizing inference performance of a fundus image quality neural network model for edge computing using TensorFlow Lite

Hugang Ren; Simon Bello; Minhaj Nur Alam; Niranchana Manivannan; Taylor Shagam; Neil D'Souza

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):113. doi:

ARVO Annual Meeting Abstract June 2021

Student becomes teacher: faster deep learning (DL) lightweight models (LWM) for automated detection of abnormal OCT B-scans using student-teacher framework

Julia Owen; Marian Blazes; Niranchana Manivannan; Gary C Lee; Sophia Yu; Mary K Durbin; Rishi P. Singh; Katherine Talcott; Alline G.R. Melo; Tyler Greenlee; Eric R. Chen; Thais F. Conti; Cecilia S Lee; Aaron Y Lee

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1028. doi:

ARVO Annual Meeting Abstract June 2021

Comparison of automated and manual operation of an ophthalmic device

Amanda Carpenter; Andre Bender; Katharina G Foote; Alejandro Millan; Kabir Arianta; Niranchana Manivannan; Lukas Rothmann; Jochen Straub

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2290. doi:

ARVO Annual Meeting Abstract June 2021

The effect of dataset size on pretraining and transfer learning for diabetic retinopathy in narrow field to widefield domain shift

Mhd Hasan Sarhan; Niranchana Manivannan; Mary K Durbin; Susan Su; Angelina Covita; Abouzar Eslami

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2143. doi:

ARVO Annual Meeting Abstract June 2021

Evaluating the influence of data source and labelling variability on a Deep Learning (DL) based OCT B-scan abnormality classification

GANESH BABU TUMKUR CHANDRA; SANDIPAN CHAKROBORTY; Krunalkumar Ramanbhai Patel; Niranchana Manivannan; Mary K Durbin; Alexander Freytag

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1781. doi:

ARVO Annual Meeting Abstract June 2021

Modular Deep Neural Network (DNN) – A new paradigm for classifying optical coherence tomography (OCT) B-scans by pathology

Krunalkumar Ramanbhai Patel; SANDIPAN CHAKROBORTY; Niranchana Manivannan; Mary K Durbin

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1780. doi:

ARVO Imaging in the Eye Conference Abstract July 2020

Diabetic retinopathy detection in widefield images by using transfer learning from handheld narrow field images

Mhd Hasan Sarhan; Angelina Covita; Sophia Yu; Susan Su; Krunalkumar Ramanbhai Patel; Dhivakar Kanagaraj; SANDIPAN CHAKROBORTY; Mary Durbin; Niranchana Manivannan; Abouzar Eslami

Invest. Ophthalmol. Vis. Sci.. 2020; 61(9):PB00108. doi:

ARVO Imaging in the Eye Conference Abstract July 2020

Real-time pupil detection for fundus imager using single-shot detector and hard-negative training.

Aditya Nair; Stephan Merkel; Jochen Straub; Alejandro Milan; David Nolan; Mary Durbin; Niranchana Manivannan

Invest. Ophthalmol. Vis. Sci.. 2020; 61(9):PB00110. doi:

ARVO Imaging in the Eye Conference Abstract July 2020

Effects of water drinking test on ocular blood flow using optical coherence tomography angiography

Susan Su; Niranchana Manivannan; Gary Lee; Angelina Covita; Mary K Durbin

Invest. Ophthalmol. Vis. Sci.. 2020; 61(9):PB00140. doi:

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Evaluation of an OCT B-scan of interest tool in eyes before and after cataract surgery

Using image similarity score to select images for training deep learning models to optimize annotation and computational resources

3D deep learning algorithm for denoising OCTA volumes acquired at 1.68 MHz A-scan-rate

Image quality and artifact feedback for fundus imaging using edge device for teleretinal application

Weighted Feature Matching registration for tracking choroidal tumors using flicker presentation

Effect of pupil alignment on peripheral refraction mapping

Improving OCT B-Scan classification feature attribution maps with adversarial training

Evaluation of Federated Learning for OCT B-scan classification

Analysis of agreement of clinical experts to B-scan of interest algorithm

Deep learning based binary image quality algorithm for low-cost fundus imaging system in remote care settings

Weighted feature point matching for registration of widefield fundus images

Optimizing inference performance of a fundus image quality neural network model for edge computing using TensorFlow Lite

Student becomes teacher: faster deep learning (DL) lightweight models (LWM) for automated detection of abnormal OCT B-scans using student-teacher framework

Comparison of automated and manual operation of an ophthalmic device

The effect of dataset size on pretraining and transfer learning for diabetic retinopathy in narrow field to widefield domain shift

Evaluating the influence of data source and labelling variability on a Deep Learning (DL) based OCT B-scan abnormality classification

Modular Deep Neural Network (DNN) – A new paradigm for classifying optical coherence tomography (OCT) B-scans by pathology

Diabetic retinopathy detection in widefield images by using transfer learning from handheld narrow field images

Real-time pupil detection for fundus imager using single-shot detector and hard-negative training.

Effects of water drinking test on ocular blood flow using optical coherence tomography angiography

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