Highly accelerated cardiovascular magnetic resonance imaging: concepts and clinical applications. - Thoralf Niendorf; Daniel K. Sodickson (EMBC, 2006)

Current T1 and T2 mapping techniques applied with simple thresholds cannot discriminate acute from chronic myocadial infarction on an individual patient basis: a pilot study. - Florian von Knobelsdorff-Brenkenhoff; Marcel Prothmann; Matthias A. Dieringer; Ralf Wassmuth; Andre Rudolph; Wolfgang Utz; Julius Traber; Andreas Greiser; Thoralf Niendorf; Jeanette Schulz-Menger (BMC Medical Imaging, 2016)

Somatosensory BOLD fMRI reveals close link between salient blood pressure changes and the murine neuromatrix. - Henning Matthias Reimann; Mihail Todiras; Russ Hodge; Till Huelnhagen; Jason Michael Millward; Robert Turner; Erdmann Seeliger; Michael Bader; Andreas Pohlmann; Thoralf Niendorf (NeuroImage, 2018)

BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease. - Adam Hilbert; Vince I. Madai; Ela M. Akay; Orhun Utku Aydin; Jonas Behland; Jan Sobesky; Ivana Galinovic; Ahmed A. Khalil; Abdel Aziz Taha; Jens Wuerfel; Petr Dusek; Thoralf Niendorf; et al. (Frontiers Artif. Intell., 2020)

AI - Based On The Fly Design of Experiments in Physics and Engineering. - Kristina Dingel; A. Liehr; M. Vogel; S. Degener; David Meier; Thoralf Niendorf; Arno Ehresmann; Bernhard Sick (ACSOS-C, 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)

High-Fidelity 3D Stray Magnetic Field Mapping of Smartphones to Address Safety Considerations with Active Implantable Electronic Medical Devices. - Nandita Saha; Jason Michael Millward; Carl J. J. Herrmann; Faezeh Rahimi; Haopeng Han; Philipp Lacour; Florian Blaschke; Thoralf Niendorf (Sensors, 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)

The (Un)Answered Question: A Data Science Powered Music Experiment. - Lynn von Kurnatowski; Benjamin Wolff; Sophie Kernchen; Adriana Klapproth-Rieger; David Heidrich; Carina Haupt; Andreas Schreiber 001; Thoralf Niendorf; Andreas Kosmider; Marcus Lobbes; Martin Hennecke (HCI (34), 2024)

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)

SPINEPS - Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation. - Hendrik Kristian Möller; Robert Graf; Joachim Schmitt; Benjamin Keinert; Matan Atad; Anjany Sekuboyina; Felix Streckenbach; Hanna Schön; Florian Kofler; Thomas Kröncke; Stefanie Bette; Stefan Willich; et al. (CoRR, 2024)

MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI. - Robert Graf; Hendrik Kristian Möller; Sophie Starck; Matan Atad; Philipp Braun; Jonathan K. Stelter; Annette Peters; Lilian Krist; Stefan Willich; Henry Völzke; Robin Bülow; Klaus Berger; et al. (CoRR, 2025)