Max Dünnwald

Orcid: 0000-0003-3838-3345

According to our database1, Max Dünnwald authored at least 11 papers between 2019 and 2023.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Deep Coordinate Regression for Weakly Supervised Segmentation of the Locus Coeruleus in MRI.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images.
CoRR, 2022

StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder.
Comput. Biol. Medicine, 2022

2021
Fully automated deep learning-based localization and segmentation of the locus coeruleus in aging and Parkinson's disease using neuromelanin-sensitive MRI.
Int. J. Comput. Assist. Radiol. Surg., 2021

ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning.
Proceedings of the 29th European Signal Processing Conference, 2021

Localization of the Locus Coeruleus in MRI via Coordinate Regression.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020
Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning.
CoRR, 2020

Spinal Metastases Segmentation in MR Imaging using Deep Convolutional Neural Networks.
CoRR, 2020

Automated Segmentation of the Locus Coeruleus from Neuromelanin-Sensitive 3T MRI Using Deep Convolutional Neural Networks.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019
Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites.
Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019

Segmentation of Vertebral Metastases in MRI Using an U-Net like Convolutional Neural Network.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019


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