Impact of Leakage on Data Harmonization in Machine Learning Pipelines in Class Imbalance Across Sites

2 code implementations • 25 Oct 2024 • Nicolás Nieto, Simon B. Eickhoff, Christian Jung, Martin Reuter, Kersten Diers, Malte Kelm, Artur Lichtenberg, Federico Raimondo, Kaustubh R. Patil

Machine learning (ML) models benefit from large datasets.

An automated, geometry-based method for hippocampal shape and thickness analysis

1 code implementation • 1 Feb 2023 • Kersten Diers, Hannah Baumeister, Frank Jessen, Emrah Düzel, David Berron, Martin Reuter

In this work, we propose an automated, geometry-based approach for the unfolding, point-wise correspondence, and local analysis of hippocampal shape features such as thickness and curvature.

Hippocampus Image Registration

Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted MRI

1 code implementation • 9 Aug 2021 • Santiago Estrada, Ran Lu, Kersten Diers, Weiyi Zeng, Philipp Ehses, Tony Stöcker, Monique M. B Breteler, Martin Reuter

The neuroimage analysis community has neglected the automated segmentation of the olfactory bulb (OB) despite its crucial role in olfactory function.

Deep Learning Segmentation +2

FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline

1 code implementation • 9 Oct 2019 • Leonie Henschel, Sailesh Conjeti, Santiago Estrada, Kersten Diers, Bruce Fischl, Martin Reuter

In this work we propose a fast and accurate deep learning based neuroimaging pipeline for the automated processing of structural human brain MRI scans, replicating FreeSurfer's anatomical segmentation including surface reconstruction and cortical parcellation.

Brain Segmentation Deep Learning +2