Name: Chen (Cherise) Chen
Type: User
Company: University of Sheffield
Bio: Research interests: robust and reliable machine learning algorithms for medical image&signal analyis
Twitter: cherise_go
Location: Sheffield
Blog: cherise215.github.io
Chen (Cherise) Chen's Projects
[MICCAI 2020 Oral] Realistic Adversarial Data Augmentation for MR Image Segmentation
[Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)
[STACOM 2018] Multi-task Learning for Left Atrial Segmentation on GE-MRI. This repository contains training and testing code for atrial segmentation challenge 2018.
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)
[Robust cardiac MR image segmentation foundation model] This code contains the most powerful cardiac segmentation model trained from UK biobank dataset with superior performance on out-of-domain datasets. This model can be used out-of-box, and serve as a foundation model for further finetuning
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Compare GAN code.
Mini C compiler implemented by C#
[MICCAI 2021 Oral] Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
PyTorch Implementation of Dropout layers with fixable masks
Hidden Markov Model
Licenses approved by Team Digitale, ready to use in your repository
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)
[MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation
Learning Diffeomorphic and Modality-invariant Registration using B-splines (MIDL 2021)
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
🧠 Automatic MRI segmentation pipeline for consistent FEM and BEM mesh creation from MRI scans of human heads
my mxnet implementation of public networks.
EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts
Transform single points or arrays of points using several fisheye functions.
DeepLab v3+ model in PyTorch. Support different backbones.
Reliability diagrams visualize whether a classifier model needs calibration
SOTA Semantic Segmentation Models in PyTorch