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

Automated Detection of High FDG Uptake Regions in CT Images. - Annika Liebgott; Florian Liebgott; Bin Yang 009; Sergios Gatidis; Konstantin Nikolaou (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)

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)

Prediction of FDG uptake in Lung Tumors from CT Images Using Generative Adversarial Networks. - Annika Liebgott; Darius Hinderer; Karim Armanious; Alexander Bartler; Konstantin Nikolaou; Sergios Gatidis; Bin Yang 009 (EUSIPCO, 2019)

Adversarial Inpainting of Medical Image Modalities. - Karim Armanious; Youssef Mecky; Sergios Gatidis; Bin Yang 009 (ICASSP, 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)

ipA-MedGAN: Inpainting of Arbitrarily Regions in Medical Modalities. - Karim Armanious; Vijeth Kumar; Sherif Abdulatif; 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)

Feature-based Response Prediction to Immunotherapy of late-stage Melanoma Patients Using PET/MR Imaging. - Annika Liebgott; Sergios Gatidis; Viet Chau Vu; Tobias Haueise; Konstantin Nikolaou; Bin Yang 009 (EUSIPCO, 2020)

ipA-MedGAN: Inpainting of Arbitrary Regions in Medical Imaging. - Karim Armanious; Vijeth Kumar; Sherif Abdulatif; Tobias Hepp 002; Sergios Gatidis; Bin Yang 009 (ICIP, 2020)

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

Uncertainty-Based Biological Age Estimation of Brain MRI Scans. - Karim Armanious; Sherif Abdulatif; Wenbin Shi; Tobias Hepp 002; Sergios Gatidis; Bin Yang 009 (ICASSP, 2021)

Automated Multi-Organ Segmentation in Pet Images Using Cascaded Training of a 3d U-Net and Convolutional Autoencoder. - Annika Liebgott; Charlotte Lorenz; Sergios Gatidis; Viet Chau Vu; Konstantin Nikolaou; Bin Yang 009 (ICASSP, 2021)

Uncertainty-Guided Progressive GANs for Medical Image Translation. - Uddeshya Upadhyay; Yanbei Chen; Tobias Hepp 002; Sergios Gatidis; Zeynep Akata (MICCAI (3), 2021)

Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies. - Alessa Hering; Felix Peisen; Teresa Amaral; Sergios Gatidis; Thomas Eigentler; Ahmed Othman; Jan Hendrik Moltz (MIDL, 2021)

Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study. - Tobias Hepp 002; Dominik Blum; Karim Armanious; Bernhard Schölkopf; Darko Stern; Bin Yang 009; Sergios Gatidis (Comput. Medical Imaging Graph., 2021)

Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation. - August DuMont Schütte; Jürgen Hetzel; Sergios Gatidis; Tobias Hepp 002; Benedikt Dietz; Stefan Bauer; Patrick Schwab (npj Digit. Medicine, 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)

Adversarial Robustness of MR Image Reconstruction Under Realistic Perturbations. - Jan Nikolas Morshuis; Sergios Gatidis; Matthias Hein 001; Christian F. Baumgartner (MLMIR@MICCAI, 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)

Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI. - Yan-Ran Wang; Liangqiong Qu; Natasha Diba Sheybani; Xiaolong Luo; Jiangshan Wang; Kristina Elizabeth Hawk; Ashok Joseph Theruvath; Sergios Gatidis; Xuerong Xiao; Allison Pribnow; Daniel L. Rubin; Heike E. Daldrup-Link (CoRR, 2022)

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)

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)

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts. - Dave Van Veen; Cara Van Uden; Louis Blankemeier; Jean-Benoit Delbrouck; Asad Aali; Christian Bluethgen; Anuj Pareek; Malgorzata Polacin; William Collins; Neera Ahuja; Curtis P. Langlotz; Jason Hom; et al. (CoRR, 2023)

Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations. - Marc Fischer 003; Tobias Hepp 002; Sergios Gatidis; Bin Yang 009 (Comput. Medical Imaging Graph., 2023)

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. - Scott L. Fleming; Alejandro Lozano; William J. Haberkorn; Jenelle A. Jindal; Eduardo Pontes Reis; Rahul Thapa; Louis Blankemeier; Julian Z. Genkins; Ethan Steinberg; Ashwin Nayak 002; Birju S. Patel; Chia-Chun Chiang; et al. (AAAI, 2024)

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)

CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation. - Zhihong Chen; Maya Varma; Jean-Benoit Delbrouck; Magdalini Paschali; Louis Blankemeier; Dave Van Veen; Jeya Maria Jose Valanarasu; Alaa Youssef; Joseph Paul Cohen; Eduardo Pontes Reis; Emily Bao Tsai; Andrew Johnston; et al. (CoRR, 2024)

A Benchmark of Domain-Adapted Large Language Models for Generating Brief Hospital Course Summaries. - Asad Aali; Dave Van Veen; Yamin Ishraq Arefeen; Jason Hom; Christian Bluethgen; Eduardo Pontes Reis; Sergios Gatidis; Namuun Clifford; Joseph Daws; Arash S. Tehrani; Jangwon Kim; Akshay S. Chaudhari (CoRR, 2024)

Unlocking Robust Segmentation Across All Age Groups via Continual Learning. - Chih-Ying Liu; Jeya Maria Jose Valanarasu; Camila González; Curtis P. Langlotz; Andrew Y. Ng; Sergios Gatidis (CoRR, 2024)

Merlin: A Vision Language Foundation Model for 3D Computed Tomography. - Louis Blankemeier; Joseph Paul Cohen; Ashwin Kumar; Dave Van Veen; Syed Jamal Safdar Gardezi; Magdalini Paschali; Zhihong Chen; Jean-Benoit Delbrouck; Eduardo Pontes Reis; Cesar Truyts; Christian Bluethgen; Malte Engmann Kjeldskov Jensen; 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)

Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis. - Eva Prakash; Jeya Maria Jose Valanarasu; Zhihong Chen; Eduardo Pontes Reis; Andrew Johnston; Anuj Pareek; Christian Bluethgen; Sergios Gatidis; Cameron Olsen; Akshay Chaudhari; Andrew Y. Ng; Curtis P. Langlotz (CoRR, 2024)

Foundation Models in Radiology: What, How, When, Why and Why Not. - Magdalini Paschali; Zhihong Chen; Louis Blankemeier; Maya Varma; Alaa Youssef; Christian Bluethgen; Curtis P. Langlotz; Sergios Gatidis; Akshay Chaudhari (CoRR, 2024)

Best Practices for Large Language Models in Radiology. - Christian Bluethgen; Dave Van Veen; Cyril Zakka; Katherine Link; Aaron Fanous; Roxana Daneshjou; Thomas Frauenfelder; Curtis P. Langlotz; Sergios Gatidis; Akshay Chaudhari (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)

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)

Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow. - Alessa Hering; Max Westphal; Annika Gerken; Haidara Almansour; Michael Maurer; Benjamin P. Geisler; Temke Kohlbrandt; Thomas Eigentler; Teresa Amaral; Nikolas Lessmann; Sergios Gatidis; Horst K. Hahn; et al. (Int. J. Comput. Assist. Radiol. Surg., 2024)

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)

A dataset and benchmark for hospital course summarization with adapted large language models. - Asad Aali; Dave Van Veen; Yamin Ishraq Arefeen; Jason Hom; Christian Bluethgen; Eduardo Pontes Reis; Sergios Gatidis; Namuun Clifford; Joseph Daws; Arash S. Tehrani; Jangwon Kim; Akshay S. Chaudhari (J. Am. Medical Informatics Assoc., 2025)

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks. - Suhana Bedi; Hejie Cui; Miguel Fuentes; Alyssa Unell; Michael Wornow; Juan M. Banda; Nikesh Kotecha; Timothy Keyes; Yifan Mai 001; Mert Oez; Hao Qiu; Shrey Jain; et al. (CoRR, 2025)

Adaptable Cardiovascular Disease Risk Prediction from Heterogeneous Data using Large Language Models. - Frederike Lübeck; Jonas Wildberger; Frederik Träuble; Maximilian Mordig; Sergios Gatidis; Andreas Krause 001; Bernhard Schölkopf (CoRR, 2025)

Structuring Radiology Reports: Challenging LLMs with Lightweight Models. - Johannes Moll; Louisa Fay; Asfandyar Azhar; Sophie Ostmeier; Tim Lueth; Sergios Gatidis; Curtis P. Langlotz; Jean-Benoit Delbrouck (CoRR, 2025)

Expert-level validation of AI-generated medical text with scalable language models. - Asad Aali; Vasiliki Bikia; Maya Varma; Nicole Chiou; Sophie Ostmeier; Arnav Singhvi; Magdalini Paschali; Ashwin Kumar; Andrew Johnston; Karimar Amador-Martinez; Eduardo Juan Perez Guerrero; Paola Naovi Cruz Rivera; et al. (CoRR, 2025)