A feature agnostic approach for glaucoma detection in OCT volumes

1 code implementation • 12 Jul 2018 • Stefan Maetschke, Bhavna Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi

Optical coherence tomography (OCT) based measurements of retinal layer thickness, such as the retinal nerve fibre layer (RNFL) and the ganglion cell with inner plexiform layer (GCIPL) are commonly used for the diagnosis and monitoring of glaucoma.

BIG-bench Machine Learning

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

no code implementations • 5 Aug 2019 • Stefan Maetschke, Bhavna Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel Schuman, Rahil Garnavi

Visual field tests (VFT) are pivotal for glaucoma diagnosis and conducted regularly to monitor disease progression.

Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes

no code implementations • 3 Jul 2020 • Yasmeen M. George, Suman Sedai, Bhavna J. Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi

We also compare our model with elastix intensity based medical image registration approach, where significant improvement is achieved by our model for both noisy and denoised volumes.

Image Registration Medical Image Registration