Automatic Patient Pose Estimation. - Robert Grimm 002 (Informatiktage, 2010)

Automatic Patient Pose Estimation Using Pressure Sensing Mattresses. - Robert Grimm 002; Johann Sukkau; Joachim Hornegger; Günther Greiner (Bildverarbeitung für die Medizin, 2011)

Prior-Based Automatic Segmentation of the Carotid Artery Lumen in TOF MRA (PASCAL). - Jana Hutter; Hannes G. Hofmann; Robert Grimm 002; Andreas Greiser; Marc Saake; Joachim Hornegger; Arnd Dörfler; Peter Schmitt (MICCAI (2), 2012)

Markerless estimation of patient orientation, posture and pose using range and pressure imaging. - Robert Grimm 002; Sebastian Bauer 001; Johann Sukkau; Joachim Hornegger; Günther Greiner (Int. J. Comput. Assist. Radiol. Surg., 2012)

Multi-dimensional flow-adapted compressed sensing (MDFCS) for time-resolved velocity-encoded Phase Contrast MRA. - Jana Hutter; Robert Grimm 002; Christoph Forman; Andreas Greiser; Joachim Hornegger; Peter Schmitt (ISBI, 2013)

Free-Breathing Whole-Heart Coronary MRA: Motion Compensation Integrated into 3D Cartesian Compressed Sensing Reconstruction. - Christoph Forman; Robert Grimm 002; Jana Maria Hutter; Andreas K. Maier; Joachim Hornegger; Michael O. Zenge (MICCAI (2), 2013)

Self-gated Radial MRI for Respiratory Motion Compensation on Hybrid PET/MR Systems. - Robert Grimm 002; Sebastian Fürst; Isabel Dregely; Christoph Forman; Jana Maria Hutter; Sibylle Ilse Ziegler; Stephan G. Nekolla; Berthold Kiefer; Markus Schwaiger; Joachim Hornegger; Kai Tobias Block (MICCAI (3), 2013)

Low-Rank and Sparse Matrix Decomposition for Compressed Sensing Reconstruction of Magnetic Resonance 4D Phase Contrast Blood Flow Imaging (LoSDeCoS 4D-PCI). - Jana Hutter; Peter Schmitt; Gunhild E. Aandal; Andreas Greiser; Christoph Forman; Robert Grimm 002; Joachim Hornegger; Andreas K. Maier (MICCAI (1), 2013)

Self-gated MRI motion modeling for respiratory motion compensation in integrated PET/MRI. - Robert Grimm 002; Sebastian Fürst; Michael Souvatzoglou; Christoph Forman; Jana Hutter; Isabel Dregely; Sibylle Ilse Ziegler; Berthold Kiefer; Joachim Hornegger; Kai Tobias Block; Stephan G. Nekolla (Medical Image Anal., 2015)

Multi-Dimensional Flow-Preserving Compressed Sensing (MuFloCoS) for Time-Resolved Velocity-Encoded Phase Contrast MRI. - Jana Hutter; Peter Schmitt; Marc Saake; Axel Stubinger; Robert Grimm 002; Christoph Forman; Andreas Greiser; Joachim Hornegger; Andreas K. Maier (IEEE Trans. Medical Imaging, 2015)

Deep Convolutional Encoder-Decoders for Prostate Cancer Detection and Classification. - Atilla P. Kiraly; Clement Abi Nader; Ahmet Tuysuzoglu; Robert Grimm 002; Berthold Kiefer; Noha El-Zehiry; Ali Kamen (MICCAI (3), 2017)

False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans. - Xin Yu 010; Bin Lou; Bibo Shi; David J. Winkel; Nacim Arrahmane; Mamadou Diallo; Tongbai Meng; Heinrich von Busch; Robert Grimm 002; Berthold Kiefer; Dorin Comaniciu; Ali Kamen; et al. (ISBI, 2020)

Deep Attentive Panoptic Model for Prostate Cancer Detection Using Biparametric MRI Scans. - Xin Yu 010; Bin Lou; Donghao Zhang; David J. Winkel; Nacim Arrahmane; Mamadou Diallo; Tongbai Meng; Heinrich von Busch; Robert Grimm 002; Berthold Kiefer; Dorin Comaniciu; Ali Kamen (MICCAI (4), 2020)

Detecting Out-of-Distribution via an Unsupervised Uncertainty Estimation for Prostate Cancer Diagnosis. - Jingya Liu; Bin Lou; Mamadou Diallo; Tongbai Meng; Heinrich von Busch; Robert Grimm 002; Yingli Tian; Dorin Comaniciu; Ali Kamen (MIDL, 2022)

Application of Active Learning-based on Uncertainty Quantification to Breast Segmentation in MRI. - Kai Geißler; Markus Wenzel 003; Susanne Diekmann; Heinrich von Busch; Robert Grimm 002; Hans Meine (Bildverarbeitung für die Medizin, 2024)

Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Bi-parametric MRI Datasets. - Hao Li; Han Liu; Heinrich von Busch; Robert Grimm 002; Henkjan Huisman; Angela Tong; David J. Winkel; Tobias Penzkofer; Ivan Shabunin; Moon Hyung Choi; Qingsong Yang; Dieter Szolar; et al. (CoRR, 2024)

T1 mapping as a quantitative imaging biomarker for diagnosing cervical cancer: a comparison with diffusion kurtosis imaging. - Zanxia Zhang; Jie Liu; Yong Zhang; Feifei Qu; Robert Grimm 002; Jingliang Cheng; Weijian Wang; Jinxia Zhu; Shujian Li (BMC Medical Imaging, 2024)