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)

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)

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)

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)

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)

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)

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)

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)

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)

A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data. - Gabriel Alexander Salg; Maria-Katharina Ganten; Andreas Michael Bucher; Hannes Götz Kenngott; Matthias A. Fink; Constantin Seibold; Ricarda Fischbach; Kai Schlamp; Carlos Alberto Velandia; Philipp Fervers; Felix Doellinger; Anna Luger; et al. (npj Digit. Medicine, 2021)

Towards a phenomenological understanding of neural networks: data. - Samuel Tovey; Sven Krippendorf; Konstantin Nikolaou; Christian Holm (Mach. Learn. Sci. Technol., 2023)

SwarmRL: Building the Future of Smart Active Systems. - Samuel Tovey; Christoph Lohrmann; Tobias Merkt; David Zimmer; Konstantin Nikolaou; Simon Koppenhoefer; Anna Bushmakina; Jonas Scheunemann; Christian Holm (CoRR, 2024)

Collective variables of neural networks: empirical time evolution and scaling laws. - Samuel Tovey; Sven Krippendorf; Michael Spannowsky; Konstantin Nikolaou; Christian Holm (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)

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)

Requirements for Quality Assurance of AI Models for Early Detection of Lung Cancer. - Horst K. Hahn; Matthias S. May; Volker Dicken; Michael Walz; Rainer Eßeling; Bianca Lassen-Schmidt; Robert Rischen; Jens Vogel-Claussen; Konstantin Nikolaou; Jörg Barkhausen (CoRR, 2025)

Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens. - Konstantin Nikolaou; Sven Krippendorf; Samuel Tovey; Christian Holm (CoRR, 2025)