Transparent Muscoloskeletal Research

Musculoskeletal Imaging

Creating tools to measure and standardize parameters from medical images

pyKNEEr: An Image Analysis Workflow For open and reproducible research on femoral knee cartilage

Jupyter notebook, python package Code

HR-pQCT Reference Line - Training and Evaluation

Webapp Code

Statistical Appearance Models for Finite Element Simulations

C++, ITK, VTK Code

Scientific Visualizations

Extracting and highlighting information from data

Open Data, Open Software, and Open Access Publications in Knee Cartilage Segmentation Literature

Dashboard Code

Assessing the FAIR metrics for data management

Paper Figure Code

Speaking and Teaching

Sharing my passion for open and reproducible research

Why we should use Jupyter Notebooks in Medical Image Analysis

Invited Talk Think Open Rovereto 2020

Python and Jupyter Notebook for Medical Image Analysis

Hands-on Workshop OpenMRBenelux 2020

Transparent Research: Open data, reproducible workflows, and interactive publications

Invited talk ToScA 2019