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Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans

2021 . Mahmoudi, Scherwin | Martin, Simon S. | Ackermann, Jörg | Zhdanovich, Yauheniya | Koch, Ina | Vogl, Thomas J. | Albrecht, Moritz H. | Lenga, Lukas | Bernatz, Simon

Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA

2021 . Löffler, Maximilian | Jacob, Alina | Scharr, Andreas | Sollmann, Nico | Burian, Egon | El Husseini, Malek | Sekuboyina, Anjany | Tetteh, Giles | Zimmer, Claus | Gempt, Jens | Baum, Thomas | Kirschke, Jan S.

The PICASO cloud platform for improved holistic care in rheumatoid arthritis treatment—experiences of patients and clinicians

2021 . Richter, Jutta G. | Chehab, Gamal | Schwartz, Catarina | Ricken, Elisabeth | Tomczak, Monika | Acar, Hasan | Gappa, Henrike | Velasco, Carlos A. | Rosengren, Peter | Povilionis, Armanas | Schneider, Matthias | Thestrup, Jesper

Feasibility of artificial intelligence–supported assessment of bone marrow infiltration using dual-energy computed tomography in patients with evidence of monoclonal protein — a retrospective observational study

2021 . Fervers, Philipp | Fervers, Florian | Kottlors, Jonathan | Lohneis, Philipp | Pollman-Schweckhorst, Philip | Zaytoun, Hasan | Rinneburger, Miriam | Maintz, David | Große Hokamp, Nils

Proof of principle study: diagnostic accuracy of a novel algorithm for the estimation of sleep stages and disease severity in patients with sleep-disordered breathing based on actigraphy and respiratory inductance plethysmography

2021 . Dietz-Terjung, Sarah | Martin, Amelie Ricarda | Finnsson, Eysteinn | Ágústsson, Jón Skínir | Helgason, Snorri | Helgadóttir, Halla | Welsner, Matthias | Taube, Christian | Weinreich, Gerhard | Schöbel, Christoph

Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks

2021 . Iuga, Andra-Iza | Carolus, Heike | Höink, Anna J. | Brosch, Tom | Klinder, Tobias | Maintz, David | Persigehl, Thorsten | Baeßler, Bettina | Püsken, Michael

ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging

2021 . Penzkofer, Tobias | Padhani, Anwar R. | Turkbey, Baris | Haider, Masoom A. | Huisman, Henkjan | Walz, Jochen | Salomon, Georg | Schoots, Ivo G. | Richenberg, Jonathan | Villeirs, Geert | Panebianco, Valeria | Rouviere, Olivier | Logager, Vibeke Berg | Barentsz, Jelle

Detection of liver cirrhosis in standard T2-weighted MRI using deep transfer learning

2021 . Nowak, Sebastian | Mesropyan, Narine | Faron, Anton | Block, Wolfgang | Reuter, Martin | Attenberger, Ulrike I. | Luetkens, Julian A. | Sprinkart, Alois M

Whole-body uptake classification and prostate cancer staging in 68Ga-PSMA-11 PET/CT using dual-tracer learning

2021 . Capobianco, Nicolò | Sibille, Ludovic | Chantadisai, Maythinee | Gafita, Andrei | Langbein, Thomas | Platsch, Guenther | Solari, Esteban Lucas | Shah, Vijay | Spottiswoode, Bruce | Eiber, Matthias | Weber, Wolfgang A. | Navab, Nassir | Nekolla, Stephan G.

The added value of PSMA PET/MR radiomics for prostate cancer staging

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