Medical Machine Learning Lab - University of Münster (wwu-mmll)

Medical Machine Learning Lab - University of Münster

wwu-mmll

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Machine Learning team at University of Münster, Institute for Translational Psychiatry

Location:Münster, Germany

Home Page:https://photon.uni-muenster.de

Twitter:@wwu_mmll

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Medical Machine Learning Lab - University of Münster's repositories

photonai

PHOTONAI is a high level python API for designing and optimizing machine learning pipelines.

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deepbet

Fast brain extraction using neural networks

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photonai_graph

Photon Graph is an extension for the PHOTON framework that allows for the use of machine learning based on graphs.

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photonai_neuro

Add-on module to simplify machine learning analyses for multimodal Magnetic Resonance Imaging (MRI) with photonai.

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A-Systematic-Evaluation-of-Machine-Learning-based-Biomarkers-for-Major-Depressive-Disorder

This is the accompanying repository for our manuscript titled "A Systematic Evaluation of Machine Learning-based Biomarkers for Major Depressive Disorder across Modalities".

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more-alike-than-different-paper2021

Analyses and results for "More alike than different - Quantifying Abnormalities of Brain Structure and Function in Major Depressive Disorder across Nine Modalities"

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photonai_explorer

Web-App to inspect your training, optimization and evaluation results generated by PHOTONAI

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photonai_wizard

A graphical code generator for PHOTONAI

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uncertainty-brain-age

Uncertainty aware brain age prediction

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photonai_conformal

Conformal Predictions using photonai

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keras-drop-connect

Drop-connect wrapper

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paper-repo

Includes a list of repositories that use PHOTON as major analysis tool

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photonai_brainhack23

PHOTONAI is a high level python API for designing and optimizing machine learning pipelines.

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photonai_explorer_serv

Go app to serv the photon_explorer

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photonai_module_template

Module template repository for PHOTONAI modules

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gatenet

Official implementation of GateNet

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Jacinle

Personal python toolbox.

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PCNtoolkit

Toolbox for normative modelling and spatial inference of neuroimaging data. https://pcntoolkit.readthedocs.io/en/latest/

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resample

Randomization-based inference in Python

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SCL

PyTorch implementation for The Scattering Compositional Learner (SCL)

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spm12

SPM12

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