Jason Kugelman

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Top Venues

Comput. Vis. Image Underst.

Neural Comput. Appl.

Publications

Jason Kugelman, David Alonso-Caneiro, Scott A. Read, Stephen J. Vincent, Michael J. Collins
Enhanced OCT chorio-retinal segmentation in low-data settings with semi-supervised GAN augmentation using cross-localisation. Comput. Vis. Image Underst. 237 (2023)
Jason Kugelman, David Alonso-Caneiro, Scott A. Read, Stephen J. Vincent, Fred K. Chen, Michael J. Collins
Data augmentation for patch-based OCT chorio-retinal segmentation using generative adversarial networks. Neural Comput. Appl. 33 (13) (2021)
Jason Kugelman, David Alonso-Caneiro, Scott A. Read, Stephen J. Vincent, Michael J. Collins
OCT chorio-retinal segmentation with adversarial loss. DICTA (2021)
David Alonso-Caneiro, Jason Kugelman, Janelle Tong, Michael Kalloniatis, Fred K. Chen, Scott A. Read, Michael J. Collins
Use of uncertainty quantification as a surrogate for layer segmentation error in Stargardt disease retinal OCT images. DICTA (2021)
Jason Kugelman, David Alonso-Caneiro, Scott A. Read, Stephen J. Vincent, Fred K. Chen, Michael J. Collins
Dual image and mask synthesis with GANs for semantic segmentation in optical coherence tomography. DICTA (2020)
Jason Kugelman, David Alonso-Caneiro, Scott A. Read, Stephen J. Vincent, Fred K. Chen, Michael J. Collins
Effect of Altered OCT Image Quality on Deep Learning Boundary Segmentation. IEEE Access 8 (2020)
Jason Kugelman, David Alonso-Caneiro, Scott A. Read, Stephen J. Vincent, Fred K. Chen, Michael J. Collins
Constructing Synthetic Chorio-Retinal Patches using Generative Adversarial Networks. DICTA (2019)
David Alonso-Caneiro, Jason Kugelman, Jared Hamwood, Scott A. Read, Stephen J. Vincent, Fred K. Chen, Michael J. Collins
Automatic Retinal and Choroidal Boundary Segmentation in OCT Images Using Patch-Based Supervised Machine Learning Methods. ACCV Workshops (2018)