Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation

24 January 2019

Papers citing "Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation"

6 / 6 papers shown

Title
Co-Teaching for Unsupervised Domain Adaptation and Expansion Kaibin Tian Qijie Wei Xirong Li 46 1 0 04 Apr 2022
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization Mengwei Ren Neel Dey J. Fishbaugh Guido Gerig MedIm 105 38 0 11 Feb 2021
Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images Julian Alberto Palladino D. Slezak Enzo Ferrante OOD MedIm 29 27 0 10 Sep 2020
Self domain adapted network Yufan He A. Carass Lianrui Zuo Blake E. Dewey Jerry L. Prince OOD 33 30 0 07 Jul 2020
Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning S. Devalla T. Pham S. Panda Zhang Liang Giridhar Subramanian ... L. Schmetterer S. Perera Tin Aung Alexandre Hoang Thiery M. Girard 43 29 0 22 Feb 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 406 10,675 0 19 Feb 2017