Age-related normal structural and functional ventricular values in cardiac function assessed by magnetic resonance. - Michael Fiechter; Tobias A. Fuchs; Catherine Gebhard; Julia Stehli; Bernd Klaeser; Barbara E. Stähli; Robert Manka; Costantina Manes; Felix C. Tanner; Oliver Gaemperli; Philipp A. Kaufmann (BMC Medical Imaging, 2013)

Simultaneous quantitative susceptibility mapping and Flutemetamol-PET suggests local correlation of iron and β-amyloid as an indicator of cognitive performance at high age. - J. M. G. van Bergen; Xu Li 003; Frances-Catherine Quevenco; A. F. Gietl; Valerie Treyer; R. Meyer; Alfred Buck; Philipp A. Kaufmann; Roger M. Nitsch; Peter C. M. van Zijl; C. Hock; P. G. Unschuld (NeuroImage, 2018)

Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry. - Richard Ríos; Robert J. H. Miller; Nipun Manral; Tali Sharir; Andrew J. Einstein; Mathews Fish; Terrence D. Ruddy; Philipp A. Kaufmann; Albert J. Sinusas; Edward J. Miller; Timothy M. Bateman; Sharmila Dorbala; et al. (Comput. Biol. Medicine, 2022)

Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. - Konrad Pieszko; Aakash D. Shanbhag; Ananya Singh; M. Timothy Hauser; Robert J. H. Miller; Joanna X. Liang; Manish Motwani; Jacek Kwiecinski; Tali Sharir; Andrew J. Einstein; Mathews Fish; Terrence D. Ruddy; et al. (npj Digit. Medicine, 2023)

Attenuation Correction Using Template PET Registration for Brain PET: A Proof-of-Concept Study. - Markus Jehl; Ekaterina Mikhaylova; Valerie Treyer; Marlena Hofbauer; Martin Hüllner; Philipp A. Kaufmann; Alfred Buck; Geoff Warnock; Viet Dao; Charalampos Tsoumpas; Daniel Deidda; Kris Thielemans; et al. (J. Imaging, 2023)