Aug 26, 2020 · In this paper, we propose two data augmentation methods that focus on improving the domain adaptation and generalization abilities of state-to-the-art cardiac ...
Jan 29, 2021 · In this paper, we propose two data augmentation methods that focus on improving the domain adaptation and generalization abilities of state-to-the-art cardiac ...
In this paper, we propose two data augmentation methods that focus on improving the domain adaptation and generalization abilities of state-to-the-art cardiac ...
This paper proposes two data augmentation methods that focus on improving the domain adaptation and generalization abilities of state-to-the-art cardiac ...
Disentangled Representations for Domain-generalized Cardiac Segmentation [Paper]. In M&Ms Challenge of STACOM 2020. The repository is created by Xiao Liu, ...
Nov 21, 2024 · In this paper, we propose two data augmentation methods that focus on improving the domain adaptation and generalization abilities of state-to- ...
Disentangled Representations for Domain-generalized Cardiac Segmentation. Xiao Liu, Spyridon Thermos, Agis Chartsias, Alison O'Neil, Sotirios Tsaftaris.
Sep 9, 2024 · In this paper, we propose two data augmentation methods that focus on improving the domain adaptation and generalization abilities of state-to- ...
In this paper, we propose two data augmentation methods that focus on improving the domain adaptation and generalization abilities of state-to-the-art cardiac ...
People also ask
What is cardiac segmentation?
We propose Spatial Decomposition Network (SDNet), which factorises 2D medical images into spatial anatomical factors and non-spatial modality factors.