Page Not Found
Page not found. Your pixels are in another canvas.
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
Posts
How to Shape Model - Part 7 - Model visualization
Published:
In this tutorial, I’ll go over different strategies to visualize your shape model.
How to Shape Model - Part 6 - Model evaluation
Published:
In this tutorial, I’ll go over different strategies to evaluate how good a shape model actually is.
How to Shape Model - Part 5 - Model fitting (non-rigid registration)
Published:
In this tutorial, I’ll show you how to use the deformable model that we created to establish correspondence between meshes.
How to Shape Model - Part 4 - Deformable template / Kernel design
Published:
In this tutorial, I’ll show you how to define the space of deformations our template mesh can undergo. So we will go from a static mesh, to a parameterized model that defines a space of deformations on the template, which we e.g. can randomly sample from to visually see the space of deformations.
How to Shape Model - Part 3 - Template design
Published:
In this tutorial, I’ll show you how to design the reference shape of your shape model. We’ll go from this noisy segmented mesh to a clean and smooth mesh which will dramatically improve the usefulness of our shape model.
How to Shape Model - Part 2 - Alignment / Rigid registration
Published:
In this tutorial, I’ll show you different methods to rigidly align your dataset. We will go from randomly aligned meshes to a well-aligned set of meshes from where it is much simpler to establish point-correspondence.
How to Shape Model - Part 1 - Introduction
Published:
In this series, I’ll show you how to get from a set of 3d meshes to a 3D statistical shape model. So let’s get right into it!
portfolio
Portfolio item number 1
Published:
Short description of portfolio item number 1
Portfolio item number 2
Published:
Short description of portfolio item number 2
publications
Probabilistic Joint Face-Skull Modelling for Facial Reconstruction
Published in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Download here
Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation
Published in LABELS: International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, 2019
Download here
Probabilistic Surface Reconstruction with Unknown Correspondence
Published in UNSURE: International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2019
Download here
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration
Published in Proceedings of the European Conference on Computer Vision (ECCV), 2020
Download here
Learning Shape Priors from Pieces
Published in ShapeMi: Shape in Medical Imaging (MICCAI workshop), 2020
Download here
A Probabilistic Surface Registration Framework with Applications to Partial Data Analysis
Published in PhD Thesis, 2021
Download here
Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction
Published in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Download here
GiNGR: Generalized Iterative Non-Rigid Point Cloud and Surface Registration Using Gaussian Process Regression
Published in ArXiv, 2022
Download here
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.