Max Dünnwald - RankMe

14 papers B 1Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Beyond Nyquist: A Comparative Analysis of 3D Deep Learning Models Enhancing MRI Resolution. J. Imaging 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
2023	B	`conf`	Deep Coordinate Regression for Weakly Supervised Segmentation of the Locus Coeruleus in MRI. CBMS Max Dünnwald, Philipp Ernst, Emrah Düzel, Klaus Tönnies, Matthew J. Betts, Andreas Nürnberger, Steffen Oeltze-Jafra
2022	J	`jnl`	Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images. CoRR Alessandro Sciarra, Soumick Chatterjee, Max Dünnwald, Giuseppe Placidi, Andreas Nürnberger, Oliver Speck, Steffen Oeltze-Jafra
2022	J	`jnl`	StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder. CoRR Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Pavan Tummala, Shubham Kumar Agrawal, Aishwarya Jauhari, Aman Kalra, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger
2022	J	`jnl`	StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder. Comput. Biol. Medicine Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Pavan Tummala, Shubham Kumar Agrawal, Aishwarya Jauhari, Aman Kalra, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger
2021	J	`jnl`	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. Max Dünnwald, Philipp Ernst, Emrah Düzel, Klaus Tönnies, Matthew J. Betts, Steffen Oeltze-Jafra
2021	—	`conf`	Localization of the Locus Coeruleus in MRI via Coordinate Regression. Bildverarbeitung für die Medizin Max Dünnwald, Matthew J. Betts, Emrah Düzel, Steffen Oeltze-Jafra
2021	—	`conf`	ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning. EUSIPCO Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Raghava Vinaykanth Mushunuri, Ranadheer Podishetti, Rajatha Nagaraja Rao, Geetha Doddapaneni Gopinath, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger
2021	J	`jnl`	ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning. CoRR Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Raghava Vinaykanth Mushunuri, Ranadheer Podishetti, Rajatha Nagaraja Rao, Geetha Doddapaneni Gopinath, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger
2020	—	`conf`	Automated Segmentation of the Locus Coeruleus from Neuromelanin-Sensitive 3T MRI Using Deep Convolutional Neural Networks. Bildverarbeitung für die Medizin Max Dünnwald, Matthew J. Betts, Alessandro Sciarra, Emrah Düzel, Steffen Oeltze-Jafra
2020	J	`jnl`	Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning. CoRR Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Steffen Oeltze-Jafra, Andreas Nürnberger, Oliver Speck
2020	J	`jnl`	Spinal Metastases Segmentation in MR Imaging using Deep Convolutional Neural Networks. CoRR Georg Hille, Johannes Steffen, Max Dünnwald, Mathias Becker, Sylvia Saalfeld, Klaus Tönnies
2019	—	`conf`	Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites. OR/MLCN@MICCAI 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
2019	—	`conf`	Segmentation of Vertebral Metastases in MRI Using an U-Net like Convolutional Neural Network. Bildverarbeitung für die Medizin Georg Hille, Max Dünnwald, Mathias Becker, Johannes Steffen, Sylvia Saalfeld, Klaus Tönnies