Fully supervised, healthy/malignant prostate detection in multi-parametric MRI (T2W, DWI, ADC), using a modified 2D RetinaNet model for medical object detection, built upon a shallow SEResNet backbone.

Tools for creating full TVB models from individual anatomical scans

Code used for study design, MRI data processing, statistical analysis and figures in the article U-shape short-range extrinsic connectivity organisation around the human central sulcus

Diffusion Weighted Imaging (DWI) line artifact removal

Perform fixel based analysis on DWI data

Software that functionally segments white matter connections to generate task-specific subcomponents of fiber bundles.

Small Animal Magnetic Resonance Imaging via Python.

A tool for ingressing outputs from other processing pipelines (e.g., HCP, UKB) for use in QSIRecon.

Scripts in Python and R to reformat a PHILIPS gradient scheme to SIEMENS format

PUMI: neuroimaging Pipelines Using Modular workflow Integration

A hands-free DTI, DKI, FBI and FBWM preprocessing pipeline. Information on algorithms and preprocessing steps are available at https://www.biorxiv.org/content/10.1101/2021.10.20.465189v1 A video tutorial on PyDesigner and its usage is now available at https://www.youtube.com/watch?v=mChQFuQqX3k

This repository contains the code regarding our publication: Improved unsupervised physics-informed deep learning for intravoxel-incoherent motion modeling and evaluation in pancreatic cancer patients

Python toolkit for fast estimation of IVIM & Kurtosis diffusion MRI parameters using Machine Learning (Random Forest, Extra Trees, MLP).

Pyneapple is an advanced tool for analysing multi-exponential signal data in MR DWI images.

DDSeg-PyTorch: PyTorch Implementation of DDSeg for Diffusion MRI Segmentation (MATLAB-Aligned)

Reconstruction of preprocessed q-space images (dMRI)

Plone 5 Content Type für lzv.nrw

A flexible framework for volume-wise artifact estimation and correction across multiple 4D neuroimaging modalities (diffusion MRI, functional MRI, and PET)