ysuter Goto Github PK
Name: Yannick Suter
Type: User
Bio: Postdoc at the University of Bern. Working on medical image analysis of brain tumor MRIs using Deep Learning and machine learning in general.
Twitter: yrsuter
Name: Yannick Suter
Type: User
Bio: Postdoc at the University of Bern. Working on medical image analysis of brain tumor MRIs using Deep Learning and machine learning in general.
Twitter: yrsuter
This repository contains the code and further information for our contribution to the survival prediction task of the 2020 Brain Tumor Segmentation Challenge (BraTS).
Deep learning for brain metastasis detection and segmentation in longitudinal MRI data
A deep learning python package for neuroimaging data. Made by:
DOSELO (Dose Segmentation Loss Function): Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation
A generalizable application framework for segmentation, regression, and classification using PyTorch
This repository contains code used to prepare the LUMIERE Glioblastoma dataset.
This repository will contain the code used for the paper "Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning" by Suter et al., appearing in the proceedings of the 3rd Machine Learning in Clinical Neuroscience Workshop held at MICCAI 2020.
Code accompanying the paper "Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques"
Automated processing of MRI in neuro-oncology (combining HD-BET, image co-registration, T1-subtraction mapping and HD-GLIO in one Docker container)
A web application to manage complex group hierarchies with members, events and a lot more.
A hitobito wagon defining a basic, generic organization hierarchy.
A hitobito wagon defining the organization hierarchy and additional features for Pfadibewegung Schweiz.
Medical Image Analysis Lab (MIALab), University of Bern
New modules created for diffusion MRI tasks in 3D Slicer
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.
Checklist to promote reproducible research for the MICCAI conference. Created during the MICCAI Hackathon 2020.
Diffusion MRI in 3D Slicer open-source medical imaging software
Public release of Track-to-Learn: A general framework for tractography with deep reinforcement learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.