Prof. Dr. Oliver Amft

Lehrstuhl für Digital Health

Patients' Experience to MRI Examinations—A Systematic Qualitative Review With Meta-Synthesis (2024) Nieto Alvarez I, Madl J, Becker L, Amft O Journal article Multiscale Bowel Sound Event Spotting in Highly Imbalanced Wearable Monitoring Data: Algorithm Development and Validation Study. (2024) Baronetto A, Graf L, Fischer S, Neurath M, Amft O Journal article The Psychological, Physiological, and Behavioral Responses of Patients to Magnetic Resonance Imaging (MRI): A Systematic Review and Meta-Analysis (2023) Madl J, Nieto Alvarez I, Amft O, Rohleder N, Becker L Journal article A computational roadmap to electronic drugs (2022) Rowald A, Amft O Journal article Feasibility And Acceptability Of Wearable Sensor Placement For Young Children. (2022) Willis EA, Hales D, Smith F, Burney R, Rzepka MC, Amft O, Barr R, et al. Conference contribution Feasibility and Acceptability of Wearable Sensor Placement for Measuring Screen Time of Children (2022) Willis EA, Hales D, Smith FT, Burney R, El-Zaatari HM, Rzepka MC, Amft O, et al. Journal article AIM in Eating Disorders (2022) Kopyto D, Uhlenberg L, Zhang R, Stonawski V, Horndasch S, Amft O Book chapter / Article in edited volumes AIM in Wearable and Implantable Computing (2022) Baronetto A, Amft O Authored book Predicting Anxiety in Routine Palliative Care Using Bayesian-Inspired Association Rule Mining (2021) Haas O, Lopera Gonzalez LI, Hofmann S, Ostgathe C, Maier A, Rothgang E, Amft O, Steigleder T Journal article, Original article Deep 3D Body Landmarks Estimation for Smart Garments Design (2021) Baronetto A, Wassermann D, Amft O Conference contribution