Michael Aertsen

Orcid: 0000-0003-1994-5365

According to our database1, Michael Aertsen authored at least 18 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

2023
Fetal brain tissue annotation and segmentation challenge results.
Medical Image Anal., August, 2023

2022
Fetal Brain Tissue Annotation and Segmentation Challenge Results.
CoRR, 2022

2021
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021

MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning.
Medical Image Anal., 2021

Partial supervision for the FeTA challenge 2021.
CoRR, 2021

Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Label-Set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI.
NeuroImage, 2020

Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks.
Neurocomputing, 2019

2018
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning.
IEEE Trans. Medical Imaging, 2018

An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
GIFT-Cloud: A data sharing and collaboration platform for medical imaging research.
Comput. Methods Programs Biomed., 2017

2016
Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views.
Medical Image Anal., 2016

Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015


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