Coder Social home page Coder Social logo

Hi there, this is Cherise Chen 👋

About me

  • 💼 Lecturer in Computer Vision at the U of Sheffield/Visiting research fellow at U of Oxford/Honorary research fellow at Imperial College London

  • 📫 Past: Post-Doctoral Researcher at the University of Oxford. Here are my personal website and Google Scholar.

  • 📈 I have expertise in building robust, domain-generalizable machine-learning algorithms to facilitate medical image analysis.

  • ✨ In the past five years, I have published ~30 papers with a Google citation of 2k+ with an h-index of 20.

  • 🔭 I have won several top international medical image segmentation challenges!

  • 👯 Open to collaboration on AI for healthcare applications. Interested research topics including but are not limited to adversarial machine learning, robust optimization, and multi-modal learning.

Chen (Cherise) Chen's Projects

advbias icon advbias

[MICCAI 2020 Oral] Realistic Adversarial Data Augmentation for MR Image Segmentation

advchain icon advchain

[Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)

atria_segmentation_2018 icon atria_segmentation_2018

[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 icon augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

awesome_lists icon awesome_lists

Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

cardiacmrsegmentation icon cardiacmrsegmentation

[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

cherise215.github.io icon cherise215.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

daformer icon daformer

Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

licenses icon licenses

Licenses approved by Team Digitale, ready to use in your repository

loss-landscapes icon loss-landscapes

Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch

m-ada icon m-ada

The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)

maxstyle icon maxstyle

[MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation

midir icon midir

Learning Diffeomorphic and Modality-invariant Registration using B-splines (MIDL 2021)

mrisegmentation icon mrisegmentation

🧠 Automatic MRI segmentation pipeline for consistent FEM and BEM mesh creation from MRI scans of human heads

mymedclip icon mymedclip

EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts

python-fisheye icon python-fisheye

Transform single points or arrays of points using several fisheye functions.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.