Putting Trust First in the Translation of AI for Healthcare. - Anirban Mukhopadhyay 003; David Kügler; Andreas Bucher; Dieter W. Fellner; Thomas M. Vogl (ERCIM News, 2019)

M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning. - Karol Gotkowski; Camila González; Andreas Bucher; Anirban Mukhopadhyay 003 (CoRR, 2020)

M3d-CAM - A PyTorch Library to Generate 3D Attention Maps for Medical Deep Learning. - Karol Gotkowski; Camila González; Andreas Bucher; Anirban Mukhopadhyay 003 (Bildverarbeitung für die Medizin, 2021)

Detecting When Pre-trained nnU-Net Models Fail Silently for Covid-19 Lung Lesion Segmentation. - Camila González; Karol Gotkowski; Andreas Bucher; Ricarda Fischbach; Isabel Kaltenborn; Anirban Mukhopadhyay 003 (MICCAI (7), 2021)

A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data. - Gabriel Alexander Salg; Maria-Katharina Ganten; Andreas Michael Bucher; Hannes Götz Kenngott; Matthias A. Fink; Constantin Seibold; Ricarda Fischbach; Kai Schlamp; Carlos Alberto Velandia; Philipp Fervers; Felix Doellinger; Anna Luger; et al. (npj Digit. Medicine, 2021)

Quality Monitoring of Federated Covid-19 Lesion Segmentation. - Camila González; Christian L. Harder; Amin Ranem; Ricarda Fischbach; Isabel J. Kaltenborn; Armin Dadras 002; Andreas M. Bucher; Anirban Mukhopadhyay 003 (Bildverarbeitung für die Medizin, 2022)

Form Follows Function: Designing For Tensions Of Conversational Agents In Service Encounters. - Andreas Bucher; Dario Staehelin; Mateusz Dolata; Gerhard Schwabe (ECIS, 2022)

CODEX Meets RACOON - A Concept for Collaborative Documentation of Clinical and Radiological COVID-19 Data. - Marvin Schmidt; Sebastian Gebauer; Annette Bartholmes; Dennis Kadioglu; Jens Kleesiek; Bernd Hamm; Thomas J. Vogl; Tobias Penzkofer; Andreas Michael Bucher; Holger Storf (GMDS, 2022)

i3Deep: Efficient 3D interactive segmentation with the nnU-Net. - Karol Gotkowski; Camila González; Isabel Kaltenborn; Ricarda Fischbach; Andreas Bucher; Anirban Mukhopadhyay 003 (MIDL, 2022)

Current State of Community-Driven Radiological AI Deployment in Medical Imaging. - Vikash Gupta; Barbaros Selnur Erdal; Carolina Ramirez; Ralf Floca; Laurence Jackson; Brad W. Genereaux; Sidney Bryson; Christopher P. Bridge; Jens Kleesiek; Felix Nensa; Rickmer Braren; Khaled Younis; et al. (CoRR, 2022)

Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation. - Camila González; Karol Gotkowski; Moritz Fuchs; Andreas Bucher; Armin Dadras 002; Ricarda Fischbach; Isabel J. Kaltenborn; Anirban Mukhopadhyay 003 (Medical Image Anal., 2022)

Does Social Presence Increase Perceived Competence?: Evaluating Conversational Agents in Advice Giving Through a Video-Based Survey. - Damaris Schmid; Dario Staehelin; Andreas Bucher; Mateusz Dolata; Gerhard Schwabe (Proc. ACM Hum. Comput. Interact., 2022)

When Learning Turns To Surveillance - Using Pedagogical Agents in Organizations. - Andreas Bucher; Birgit Schenk; Gerhard Schwabe (HICSS, 2023)

Secondary Mental Models: Introducing Conversational Agents in Financial Advisory Service Encounters. - Sven Eckhardt; Andreas Bucher; Madlaina Hanna Kalunder; Mateusz Dolata; Doris Agotai; Gerhard Schwabe (ICIS, 2023)

"Garbage In, Garbage Out": Mitigating Human Biases in Data Entry by Means of Artificial Intelligence. - Sven Eckhardt; Merlin Knaeble; Andreas Bucher; Dario Staehelin; Mateusz Dolata; Doris Agotai; Gerhard Schwabe (INTERACT (3), 2023)

Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications. - Stefan Denner; Jonas Scherer; Klaus Kades; Dimitrios Bounias; Philipp Schader; Lisa Kausch; Markus Bujotzek; Andreas Michael Bucher; Tobias Penzkofer; Klaus H. Maier-Hein (DEMI@MICCAI, 2023)

Explanatory Interactive Machine Learning. - Nicolas Pfeuffer; Lorenz Baum; Wolfgang Stammer; Benjamin M. Abdel-Karim; Patrick Schramowski; Andreas M. Bucher; Christian Hügel; Gernot Rohde; Kristian Kersting; Oliver Hinz (Bus. Inf. Syst. Eng., 2023)

When Generative AI Meets Workplace Learning - Creating a Realistic & Motivating Learning Experience with a Generative PCA. - Andreas Bucher; Birgit Schenk; Mateusz Dolata; Gerhard Schwabe (ECIS, 2024)

Continual atlas-based segmentation of prostate MRI. - Amin Ranem; Camila González; Daniel Pinto dos Santos; Andreas M. Bucher; Ahmed E. Othman; Anirban Mukhopadhyay 003 (WACV, 2024)

Talking to Multi-Party Conversational Agents in Advisory Services: Command-based vs. Conversational Interactions. - Andreas Bucher; Mateusz Dolata; Sven Eckhardt; Dario Staehelin; Gerhard Schwabe (Proc. ACM Hum. Comput. Interact., 2024)

Abstract: Real-world Federated Learning in Radiology - Hurdles to Overcome and Benefits to Gain. - Markus Bujotzek; Ünal Akünal; Stefan Denner; Peter Neher; Maximilian Zenk; Klaus H. Maier-Hein; Andreas Bucher; Rickmer Braren (Bildverarbeitung für die Medizin, 2025)

Real-world federated learning in radiology: hurdles to overcome and benefits to gain. - Markus R. Bujotzek; Ünal Akünal; Stefan Denner; Peter Neher; Maximilian Zenk; Eric Frodl; Astha Jaiswal; Moon S. Kim 002; Nicolai R. Krekiehn; Manuel Nickel; Richard Ruppel; Marcus Both; et al. (J. Am. Medical Informatics Assoc., 2025)