A Context and Augmented Reality BPMN and BPMS Extension for Industrial Internet of Things Processes. - Gregor Grambow; Daniel Hieber; Roy Oberhauser; Camil Pogolski (Business Process Management Workshops, 2021)

Towards an Architecture for Collecting a Multidimensional Glioblastoma Dataset. - Daniel Hieber; Georg Prokop; Maximilian Karthan; Felix Holl; Hans A. Kestler; Gregor Grambow; Bruno Märkl; Rüdiger Pryss; Friederike Liesche-Starnecker; Johannes Schobel (CBMS, 2023)

Concept and Requirements for an Educational Serious Game Teaching Pandemic Management. - Maximilian Karthan; Daniel Hieber; Annika Kreuder; Ulrich Frick; Rüdiger Pryss; Johannes Schobel (CBMS, 2023)

Developing a Gamification-Based mHealth Platform to Support Orofacial Myofunctional Therapy for Children. - Maximilian Karthan; Daniel Hieber; Rüdiger Pryss; Johannes Schobel (CBMS, 2023)

Machine Learning Approaches for Detecting Coronary Artery Disease Using Angiography Imaging: A Scoping Review. - Fatemeh Rangraz Jeddi; Hasan Rajabi Moghaddam; Reihane Sharif; Saeedeh Heydarian; Felix Holl; Daniel Hieber; Shady Ghaderkhany (ICIMTH, 2023)

Evaluation of Completeness, Comparability, Validity, and Timeliness in Cancer Registries: A Scoping Review. - Leila Shokrizadeharani; Zahra Batooli; Saeedeh Heydarian; Reihane Sharif; Shady Ghaderkhany; Daniel Hieber; Peter Kuhn (ICIMTH, 2023)

Brain Tumor Classification and Segmentation Using Dual-Outputs for U-Net Architecture: O2U-Net. - Seyed Aman Zargari; Zahra Sadat Kia; Ali Mohammad Nickfarjam; Daniel Hieber; Felix Holl (ICIMTH, 2023)

Comparing nnU-Net and deepflash2 for Histopathological Tumor Segmentation. - Daniel Hieber; Nico Haisch; Gregor Grambow; Felix Holl; Friederike Liesche-Starnecker; Rüdiger Pryss; Jürgen Schlegel; Johannes Schobel (MIE, 2024)

Serious Games in Orofacial Myofunctional Disorder Therapy for Children: An Expert Survey. - Daniel Hieber; Anna Heindl; Maximilian Karthan; Felix Holl; Tobias Krüger; Rüdiger Pryss; Johannes Schobel (MIE, 2024)

Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer. - Dominik Müller; Philip Meyer; Lukas Rentschler; Robin Manz; Daniel Hieber; Jonas Bäcker; Samantha Cramer; Christoph Wengenmayr; Bruno Märkl; Ralf Huss; Frank Kramer 001; Iñaki Soto Rey; et al. (MIE, 2024)

Insights into the Quality of Mobile Health Apps: Preliminary Results of an Analysis of MARS Scores. - Walter Swoboda; Johannes Schobel; Daniel Hieber; Felix Holl (MIE, 2024)

Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies. - Vinzent Bücheler; Daniel Hieber; Maximilian Karthan; Nicola Jungbäck; Moritz Dinser; Christofer Pohl; Rüdiger Pryss; Friederike Liesche-Starnecker; Johannes Schobel (CBMS, 2025)