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; et al. (ISBI, 2013)

Automatic atlas-guided constrained random Walker algorithm for 3D segmentation of muscles on water magnetic resonance images. - Faezeh Fallah; Bin Yang 009; Fabian Bamberg (EUSIPCO, 2017)

A novel objective function based on a generalized kelly criterion for deep learning. - Faezeh Fallah; Doychin Mariyanov Tsanev; Bin Yang 009; Sven S. Walter; Fabian Bamberg (SPA, 2017)

Accurate robust nonlinear surface registration with simultaneous point cloud and triangular mesh representation. - Faezeh Fallah; Bin Yang 009; Fabian Bamberg (SPA, 2017)

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 009; et al. (APSIPA, 2018)

A Hierarchical Ensemble Classifier for Multilabel Segmentation of Fat-Water MR Images. - Faezeh Fallah; Bin Yang 009; Sven S. Walter; Fabian Bamberg (EUSIPCO, 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 009 (ICASSP, 2018)

Semantic Organ Segmentation in 3D Whole-Body MR Images. - Thomas Küstner; Sarah Müller; Marc Fischer 003; Jakob Weiß; Konstantin Nikolaou; Fabian Bamberg; Bin Yang 009; Fritz Schick; Sergios Gatidis (ICIP, 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 (ShapeMI@MICCAI, 2018)

Hierarchical Feature-learning Graph-based Segmentation of Fat-Water MR Images. - Faezeh Fallah; Bin Yang 009; Sven S. Walter; Fabian Bamberg (SPA, 2018)

ImFEATbox: a toolbox for extraction and analysis of medical image features. - Annika Liebgott; Thomas Küstner; Heiko Strohmeier; Tobias Hepp 002; Philipp Mangold; Petros Martirosian; Fabian Bamberg; Konstantin Nikolaou; Bin Yang 009; Sergios Gatidis (Int. J. Comput. Assist. Radiol. Surg., 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 009; Fritz Schick (CoRR, 2018)

Volumetric Surface-guided Graph-based Segmentation of Cardiac Adipose Tissues on Fat-Water MR Images. - Faezeh Fallah; Karim Armanious; Bin Yang 009; Fabian Bamberg (EUSIPCO, 2019)

Spatial and Hierarchical Riemannian Dimensionality Reduction and Dictionary Learning for Segmenting Multichannel Images. - Faezeh Fallah; Karim Armanious; Bin Yang 009; Fabian Bamberg (EUSIPCO, 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)

Simultaneous Volumetric Segmentation of Vertebral Bodies and Intervertebral Discs on Fat-Water MR Images. - Faezeh Fallah; Sven S. Walter; Fabian Bamberg; Bin Yang 009 (IEEE J. Biomed. Health Informatics, 2019)

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 (MLMI@MICCAI, 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 002; Marc Fischer 003; Martin Schwartz; Andreas Fritsche; Hans-Ulrich Häring; Konstantin Nikolaou; Fabian Bamberg; Bin Yang 009; Fritz Schick; Sergios Gatidis; Jürgen Machann (CoRR, 2020)

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)

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; et al. (CoRR, 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; et al. (CoRR, 2021)

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)

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)

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)

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., 2023)

Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study. - Marc Fischer 003; Thomas Küstner; Sofia Pappa; Thoralf Niendorf; Tobias Pischon; Thomas Kröncke; Stefanie Bette; Sara Schramm; Börge Schmidt; Johannes Haubold; Felix Nensa; Tobias Nonnenmacher; et al. (BMC Medical Imaging, 2023)

Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data. - Robert Graf; Florian Hunecke; Soeren Pohl; Matan Atad; Hendrik Kristian Möller; Sophie Starck; Thomas Kröncke; Stefanie Bette; Fabian Bamberg; Tobias Pischon; Thoralf Niendorf; Carsten Oliver Schmidt; et al. (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 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 005; et al. (CoRR, 2024)