Combining Compressed Sensing with motion correction in acquisition and reconstruction for PET/MR. - Thomas Kustner; Christian Würslin; Holger Schmidt; Bin Yang 009 (ICASSP, 2015)

Active learning for magnetic resonance image quality assessment. - Annika Liebgott; Thomas Kustner; Sergios Gatidis; Fritz Schick; Bin Yang 009 (ICASSP, 2016)

3D motion flow estimation using local all-pass filters. - Christopher Gilliam; Thomas Kustner; Thierry Blu (ISBI, 2016)

MR Image Reconstruction Using a Combination of Compressed Sensing and Partial Fourier Acquisition: ESPReSSo. - Thomas Kustner; Christian Würslin; Sergios Gatidis; Petros Martirosian; Konstantin Nikolaou; Nina F. Schwenzer; Fritz Schick; Bin Yang 009; Holger Schmidt (IEEE Trans. Medical Imaging, 2016)

An easy-to-use image labeling platform for automatic magnetic resonance image quality assessment. - Thomas Kustner; Philip Wolf; Martin Schwartz; Annika Liebgott; Fritz Schick; Sergios Gatidis; Bin Yang 009 (ISBI, 2017)

MR-based respiratory and cardiac motion correction for PET imaging. - Thomas Kustner; Martin Schwartz; Petros Martirosian; Sergios Gatidis; Ferdinand Seith; Christopher Gilliam; Thierry Blu; Hadi Fayad; Dimitris Visvikis; Fritz Schick; Bin Yang 009; Holger Schmidt; et al. (Medical Image Anal., 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)

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)

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)

MedGAN: Medical Image Translation using GANs. - Karim Armanious; Chenming Yang; Marc Fischer 003; Thomas Küstner; Konstantin Nikolaou; Sergios Gatidis; Bin Yang 009 (CoRR, 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)

Unsupervised Medical Image Translation Using Cycle-MedGAN. - Karim Armanious; Chenming Jiang; Sherif Abdulatif; Thomas Küstner; Sergios Gatidis; Bin Yang 009 (EUSIPCO, 2019)

Retrospective Correction Of Rigid And Non-Rigid MR Motion Artifacts Using Gans. - Karim Armanious; Sergios Gatidis; Konstantin Nikolaou; Bin Yang 009; Thomas Kustner (ISBI, 2019)

Organ-based Age Estimation based on 3D MRI Scans. - Karim Armanious; Sherif Abdulatif; Anish Rao Bhaktharaguttu; Thomas Küstner; Tobias Hepp 002; Sergios Gatidis; Bin Yang 009 (CoRR, 2019)

Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk. - Thomas Küstner; Jiazhen Pan; Christopher Gilliam; Haikun Qi; Gastão Cruz; Kerstin Hammernik; Bin Yang 009; Thierry Blu; Daniel Rueckert; René M. Botnar; Claudia Prieto; Sergios Gatidis (APSIPA, 2020)

Organ-Based Chronological Age Estimation Based on 3D MRI Scans. - Karim Armanious; Sherif Abdulatif; Anish Rao Bhaktharaguttu; Thomas Küstner; Tobias Hepp 002; Sergios Gatidis; Bin Yang 009 (EUSIPCO, 2020)

Unsupervised Adversarial Correction of Rigid MR Motion Artifacts. - Karim Armanious; Aastha Tanwar; Sherif Abdulatif; Thomas Küstner; Sergios Gatidis; Bin Yang 009 (ISBI, 2020)

Accelerated 4D Respiratory Motion-Resolved Cardiac MRI with a Model-Based Variational Network. - Haikun Qi; Niccolo Fuin; Thomas Küstner; René M. Botnar; Claudia Prieto (MICCAI (6), 2020)

MedGAN: Medical image translation using GANs. - Karim Armanious; Chenming Jiang; Marc Fischer 003; Thomas Küstner; Tobias Hepp 002; Konstantin Nikolaou; Sergios Gatidis; Bin Yang 009 (Comput. Medical Imaging Graph., 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)

Age-Net: An MRI-Based Iterative Framework for Biological Age Estimation. - Karim Armanious; Sherif Abdulatif; Wenbin Shi; Shashank Salian; Thomas Küstner; Daniel Weiskopf; Tobias Hepp 002; Sergios Gatidis; Bin Yang 009 (CoRR, 2020)

Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction. - Kerstin Hammernik; Jiazhen Pan; Daniel Rueckert; Thomas Küstner (ACSCC, 2021)

Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation. - Jiazhen Pan; Daniel Rueckert; Thomas Küstner; Kerstin Hammernik (MLMIR@MICCAI, 2021)

Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation. - Karim Armanious; Sherif Abdulatif; Wenbin Shi; Shashank Salian; Thomas Küstner; Daniel Weiskopf; Tobias Hepp 002; Sergios Gatidis; Bin Yang 009 (IEEE Trans. Medical Imaging, 2021)

LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging. - Thomas Küstner; Jiazhen Pan; Haikun Qi; Gastão Cruz; Christopher Gilliam; Thierry Blu; Bin Yang 009; Sergios Gatidis; René M. Botnar; Claudia Prieto (IEEE Trans. Medical Imaging, 2021)

Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning. - Haikun Qi; Niccolo Fuin; Gastão Cruz; Jiazhen Pan; Thomas Küstner; Aurélien Bustin; René M. Botnar; Claudia Prieto (IEEE Trans. Medical Imaging, 2021)

Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging. - Jiazhen Pan; Daniel Rueckert; Thomas Küstner; Kerstin Hammernik (MICCAI (6), 2022)

Real Time Landmark Detection for Within- and Cross Subject Tracking With Minimal Human Supervision. - Marcel Frueh; Andreas Schilling 001; Sergios Gatidis; Thomas Küstner (IEEE Access, 2022)

Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort. - Marcel Frueh; Thomas Küstner; Marcel Nachbar; Daniela Thorwarth; Andreas Schilling 001; Sergios Gatidis (Comput. Methods Programs Biomed., 2022)

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging. - Kerstin Hammernik; Thomas Küstner; Burhaneddin Yaman; Zhengnan Huang; Daniel Rueckert; Florian Knoll; Mehmet Akçakaya (CoRR, 2022)

Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction. - Paul Fischer; Thomas Küstner; Christian F. Baumgartner (UNSURE@MICCAI, 2023)

Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling. - Jiazhen Pan; Suprosanna Shit; Özgün Turgut; Wenqi Huang 003; Hongwei Bran Li; Nil Stolt Ansó; Thomas Küstner; Kerstin Hammernik; Daniel Rueckert (MICCAI (10), 2023)

Avoiding Shortcut-Learning by Mutual Information Minimization in Deep Learning-Based Image Processing. - Louisa Fay; Erick Cobos; Bin Yang 009; Sergios Gatidis; Thomas Küstner (IEEE Access, 2023)

Reconstruction-driven motion estimation for motion-compensated MR CINE imaging. - Jiazhen Pan; Wenqi Huang 003; Daniel Rueckert; Thomas Küstner; Kerstin Hammernik (CoRR, 2023)

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Gijs Luijten; Yuan Jin; Narmada Ambigapathy; Enrico Nasca; Naida Solak; Gian Marco Melito; Afaque R. Memon; Xiaojun Chen 003; Jan Stefan Kirschke; et al. (CoRR, 2023)

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging. - Kerstin Hammernik; Thomas Küstner; Burhaneddin Yaman; Zhengnan Huang; Daniel Rueckert; Florian Knoll; Mehmet Akçakaya (IEEE Signal Process. Mag., 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)

Deep Regression for Biological Age Estimation in Multiple Organs: Investigations on 40, 000 Subjects of the UK Biobank. - Veronika Ecker; Marcel Früh; Bin Yang 009; Sergios Gatidis; Thomas Küstner (ICASSP, 2024)

Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging. - Sarah Müller; Louisa Fay; Lisa M. Koch; Sergios Gatidis; Thomas Küstner; Philipp Berens (MLMI@MICCAI (2), 2024)

TotalSegmentator MRI: Sequence-Independent Segmentation of 59 Anatomical Structures in MR images. - Tugba Akinci D'Antonoli; Lucas K. Berger; Ashraya K. Indrakanti; Nathan Vishwanathan; Jakob Weiß; Matthias Jung 004; Zeynep Berkarda; Alexander Rau; Marco Reisert; Thomas Küstner; Alexandra Walter; Elmar M. Merkle; et al. (CoRR, 2024)

Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging. - Aya Ghoul; Kerstin Hammernik; Andreas Lingg; Patrick Krumm; Daniel Rueckert; Sergios Gatidis; Thomas Küstner (CoRR, 2024)

Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging. - Sergios Gatidis; Marcel Früh; Matthias Fabritius; Sijing Gu; Konstantin Nikolaou; Christian La Fougère; Jin Ye 002; Junjun He; Yige Peng; Lei Bi 001; Jun Ma 016; Bo Wang 044; et al. (Nat. Mac. Intell., 2024)

Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI. - Jiazhen Pan; Manal Hamdi; Wenqi Huang 003; Kerstin Hammernik; Thomas Küstner; Daniel Rueckert (Medical Image Anal., 2024)

Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation. - Jiazhen Pan; Wenqi Huang 003; Daniel Rueckert; Thomas Küstner; Kerstin Hammernik (IEEE Trans. Medical Imaging, 2024)

Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging. - Aya Ghoul; Jiazhen Pan; Andreas Lingg; Jens Kübler; Patrick Krumm; Kerstin Hammernik; Daniel Rueckert; Sergios Gatidis; Thomas Küstner (IEEE Trans. Medical Imaging, 2024)

Unsupervised Single-source Domain Generalization for Robust Quantification of Lymphatic Perfusion. - Lisa K. Fischer; Johanna P. Müller; Christian Schröder; Anja Hanser; Michela Cuomo; Thomas G. Day; Cheng Ouyang; Oliver Dewald; Oliver Rompel; Sven Dittrich; Thomas Küstner; Bernhard Kainz (Bildverarbeitung für die Medizin, 2025)

Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging. - Wenqi Huang 003; Veronika Spieker; Siying Xu; Gastão Cruz; Claudia Prieto; Julia A. Schnabel; Kerstin Hammernik; Thomas Küstner; Daniel Rueckert (IPMI (1), 2025)

Attention incorporated network for sharing low-rank, image and k-space information during MR image reconstruction to achieve single breath-hold cardiac Cine imaging. - Siying Xu; Kerstin Hammernik; Andreas Lingg; Jens Kübler; Patrick Krumm; Daniel Rueckert; Sergios Gatidis; Thomas Küstner (Comput. Medical Imaging Graph., 2025)

Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions. - Jan Nikolas Morshuis; Christian Schlarmann; Thomas Küstner; Christian F. Baumgartner; Matthias Hein 001 (CoRR, 2025)