Fabian Bamberg

According to our database, Fabian Bamberg authored at least 28 papers between 2013 and 2024.

Collaborative distances:

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

2024

Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings using Spine MRI data.

Robert Graf, Florian Hunecke, Soeren Pohl, Matan Atad, Hendrik Moeller, Sophie Starck, Thomas Kröncke, Stefanie Bette, Fabian Bamberg, Tobias Pischon, Thoralf Niendorf, Carsten Oliver Schmidt, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke

CoRR, 2024

TotalVibeSegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images.

Robert Graf, Paul-Sören Platzek, Evamaria Olga Riedel, Constanze Ramschütz, Sophie Starck, Hendrik Kristian Möller, Matan Atad, Henry Völzke, Robin Bülow, Carsten Oliver Schmidt, Julia Rüdebusch, Matthias Jung, Marco Reisert, Jakob Weiss, Maximilian Löffler, Fabian Bamberg, Bene Wiestler, Johannes C. Paetzold, Daniel Rueckert, Jan Stefan Kirschke

CoRR, 2024

2023

Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study.

Marc Fischer, Thomas Küstner, Sofia Pappa, Thoralf Niendorf, Tobias Pischon, Thomas Kröncke, Stefanie Bette, Sara Schramm, Börge Schmidt, Johannes Haubold, Felix Nensa, Tobias Nonnenmacher, Viktoria Palm, Fabian Bamberg, Lena Kiefer, Fritz Schick, Bin Yang

BMC Medical Imaging, December, 2023

Multiclass datasets expand neural network utility: an example on ankle radiographs.

Suam Kim, Philipp Rebmann, Phuong Hien Tran, Elias Kellner, Marco Reisert, David Steybe, Jörg Bayer, Fabian Bamberg, Elmar Kotter, Maximilian Frederik Russe

Int. J. Comput. Assist. Radiol. Surg., May, 2023

2022

FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation.

Tobias Bernecker, Annette Peters, Christopher L. Schlett, Fabian Bamberg, Fabian J. Theis, Daniel Rueckert, Jakob Weiß, Shadi Albarqouni

CoRR, 2022

Automated segmentation of head CT scans for computer-assisted craniomaxillofacial surgery applying a hierarchical patch-based stack of convolutional neural networks.

David Steybe, Philipp Poxleitner, Marc Christian Metzger, Leonard Simon Brandenburg, Rainer Schmelzeisen, Fabian Bamberg, Phuong Hien Tran, Elias Kellner, Marco Reisert, Maximilian Frederik Russe

Int. J. Comput. Assist. Radiol. Surg., 2022

AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies.

Anne-Marie Rickmann, Jyotirmay Senapati, Oksana P. Kovalenko, Annette Peters, Fabian Bamberg, Christian Wachinger

BMC Medical Imaging, 2022

2021

An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling.

Tim Hahn, Jan Ernsting, Nils R. Winter, Vincent Holstein, Ramona Leenings, Marie Beisemann, Lukas Fisch, Kelvin Sarink, Daniel Emden, Nils Opel, Ronny Redlich, Jonathan Repple, Dominik Grotegerd, Susanne Meinert, Jochen G. Hirsch, Thoralf Niendorf, Beate Endemann, Fabian Bamberg, Thomas Kröncke, Robin Bülow, Henry Völzke, Oyunbileg von Stackelberg, Ramona Felizitas Sowade, Lale Umutlu, Börge Schmidt, Svenja Caspers, Harald Kugel, Tilo Kircher, Benjamin Risse, Christian Gaser, James H. Cole, Udo Dannlowski, Klaus Berger

CoRR, 2021

Predicting brain-age from raw T1-weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks.

Lukas Fisch, Jan Ernsting, Nils R. Winter, Vincent Holstein, Ramona Leenings, Marie Beisemann, Kelvin Sarink, Daniel Emden, Nils Opel, Ronny Redlich, Jonathan Repple, Dominik Grotegerd, Susanne Meinert, Niklas Wulms, Heike Minnerup, Jochen G. Hirsch, Thoralf Niendorf, Beate Endemann, Fabian Bamberg, Thomas Kröncke, Annette Peters, Robin Bülow, Henry Völzke, Oyunbileg von Stackelberg, Ramona Felizitas Sowade, Lale Umutlu, Börge Schmidt, Svenja Caspers, Harald Kugel, Bernhard T. Baune, Tilo Kircher, Benjamin Risse, Udo Dannlowski, Klaus Berger, Tim Hahn

CoRR, 2021

Evaluation of computed tomography settings in the context of visualization and discrimination of low dose injections of a novel liquid soft tissue fiducial marker in head and neck imaging.

David Steybe, Philipp Poxleitner, Pit Jacob Voss, Marc Christian Metzger, Rainer Schmelzeisen, Fabian Bamberg, Suam Kim, Maximilian Frederik Russe

BMC Medical Imaging, 2021

2020

Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies.

Thomas Küstner, Tobias Hepp, Marc Fischer, Martin Schwartz, Andreas Fritsche, Hans-Ulrich Häring, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick, Sergios Gatidis, Jürgen Machann

CoRR, 2020

Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers.

Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019

Simultaneous Volumetric Segmentation of Vertebral Bodies and Intervertebral Discs on Fat-Water MR Images.

Faezeh Fallah, Sven S. Walter, Fabian Bamberg, Bin Yang

IEEE J. Biomed. Health Informatics, 2019

Reduced scan range abdominopelvic CT in patients with suspected acute appendicitis - impact on diagnostic accuracy and effective radiation dose.

Dominik Zinsser, Michael Maurer, Phuong-Linh Do, Jakob Weiß, Mike Notohamiprodjo, Fabian Bamberg, Ahmed E. Othman

BMC Medical Imaging, 2019

Spatial and Hierarchical Riemannian Dimensionality Reduction and Dictionary Learning for Segmenting Multichannel Images.

Faezeh Fallah, Karim Armanious, Bin Yang, Fabian Bamberg

Proceedings of the 27th European Signal Processing Conference, 2019

Volumetric Surface-guided Graph-based Segmentation of Cardiac Adipose Tissues on Fat-Water MR Images.

Faezeh Fallah, Karim Armanious, Bin Yang, Fabian Bamberg

Proceedings of the 27th European Signal Processing Conference, 2019

2018

A Machine-learning framework for automatic reference-free quality assessment in MRI.

Thomas Küstner, Sergios Gatidis, Annika Liebgott, Martin Schwartz, Lukas Mauch, Petros Martirosian, Holger Schmidt, Nina F. Schwenzer, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick

CoRR, 2018

ImFEATbox: a toolbox for extraction and analysis of medical image features.

Annika Liebgott, Thomas Küstner, Heiko Strohmeier, Tobias Hepp, Philipp Mangold, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Bin Yang, Sergios Gatidis

Int. J. Comput. Assist. Radiol. Surg., 2018

Hierarchical Feature-learning Graph-based Segmentation of Fat-Water MR Images.

Faezeh Fallah, Bin Yang, Sven S. Walter, Fabian Bamberg

Proceedings of the Signal Processing: Algorithms, 2018

Deep Shape Analysis on Abdominal Organs for Diabetes Prediction.

Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger

Proceedings of the Shape in Medical Imaging, 2018

Semantic Organ Segmentation in 3D Whole-Body MR Images.

Thomas Küstner, Sarah Müller, Marc Fischer, Jakob Weiß, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick, Sergios Gatidis

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance Imaging.

Thomas Kustner, Marvin Jandt, Annika Liebgott, Lukas Mauch, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Sergios Gatidis, Fritz Schick, Bin Yang

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Hierarchical Ensemble Classifier for Multilabel Segmentation of Fat-Water MR Images.

Faezeh Fallah, Bin Yang, Sven S. Walter, Fabian Bamberg

Proceedings of the 26th European Signal Processing Conference, 2018

Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging.

Sebastian Milde, Annika Liebgott, Ziwei Wu, Wenyi Feng, Jiahuan Yang, Lukas Mauch, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Sergios Gatidis, Fritz Schick, Bin Yang, Thomas Kustner

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017

Accurate robust nonlinear surface registration with simultaneous point cloud and triangular mesh representation.

Faezeh Fallah, Bin Yang, Fabian Bamberg

Proceedings of the Signal Processing: Algorithms, 2017

A novel objective function based on a generalized kelly criterion for deep learning.

Faezeh Fallah, Doychin Mariyanov Tsanev, Bin Yang, Sven S. Walter, Fabian Bamberg

Proceedings of the Signal Processing: Algorithms, 2017

Automatic atlas-guided constrained random Walker algorithm for 3D segmentation of muscles on water magnetic resonance images.

Faezeh Fallah, Bin Yang, Fabian Bamberg

Proceedings of the 25th European Signal Processing Conference, 2017

2013

Preclinical x-ray dark-field radiography for pulmonary emphysema evaluation.

Andre Yaroshenko, Felix Gabriel Meinel, Martin Bech, Arne Tapfer, Astrid Velroyen, Simone Schleede, Mark Müller, Sigrid Auweter, Alexander Bohla, Ali Oender Yildirim, Konstantin Nikolaou, Fabian Bamberg, Oliver Eickelberg, Maximilian Reiser, Franz Pfeiffer

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013