Max Dünnwald

According to our database, Max Dünnwald authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Beyond Nyquist: A Comparative Analysis of 3D Deep Learning Models Enhancing MRI Resolution.

Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Anitha Bhat Talagini Ashoka, Mayura Gurjar Cheepinahalli Vasudeva, Shudarsan Saravanan, Venkatesh Thirugnana Sambandham, Pavan Tummala, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger

J. Imaging, 2024

2023

Deep Coordinate Regression for Weakly Supervised Segmentation of the Locus Coeruleus in MRI.

Max Dünnwald, Philipp Ernst, Emrah Düzel, Klaus Tönnies, Matthew J. Betts, Andreas Nürnberger, Steffen Oeltze-Jafra

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.

Alessandro Sciarra, Soumick Chatterjee, Max Dünnwald, Giuseppe Placidi, Andreas Nürnberger, Oliver Speck, Steffen Oeltze-Jafra

CoRR, 2022

StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder.

Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Pavan Tummala, Shubham Kumar Agrawal, Aishwarya Jauhari, Aman Kalra, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger

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.

Max Dünnwald, Philipp Ernst, Emrah Düzel, Klaus Tönnies, Matthew J. Betts, Steffen Oeltze-Jafra

Int. J. Comput. Assist. Radiol. Surg., 2021

ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning.

Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Raghava Vinaykanth Mushunuri, Ranadheer Podishetti, Rajatha Nagaraja Rao, Geetha Doddapaneni Gopinath, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger

Proceedings of the 29th European Signal Processing Conference, 2021

Localization of the Locus Coeruleus in MRI via Coordinate Regression.

Max Dünnwald, Matthew J. Betts, Emrah Düzel, Steffen Oeltze-Jafra

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

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

Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Steffen Oeltze-Jafra, Andreas Nürnberger, Oliver Speck

CoRR, 2020

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

Georg Hille, Johannes Steffen, Max Dünnwald, Mathias Becker, Sylvia Saalfeld, Klaus Tönnies

CoRR, 2020

Automated Segmentation of the Locus Coeruleus from Neuromelanin-Sensitive 3T MRI Using Deep Convolutional Neural Networks.

Max Dünnwald, Matthew J. Betts, Alessandro Sciarra, Emrah Düzel, Steffen Oeltze-Jafra

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019

Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites.

Florian Dubost, Max Dünnwald, Denver Huff, Vincent Scheumann, Frank Schreiber, Meike W. Vernooij, Wiro J. Niessen, Martin Skalej, Stefanie Schreiber, Steffen Oeltze-Jafra, Marleen de Bruijne

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.

Georg Hille, Max Dünnwald, Mathias Becker, Johannes Steffen, Sylvia Saalfeld, Klaus Tönnies

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019