Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis. - Jiahao Lu; Chong Yin; Oswin Krause; Kenny Erleben; Michael Bachmann Nielsen; Sune Darkner (iMIMIC@MICCAI, 2022)

Auto-segmentation of Hip Joints Using MultiPlanar UNet with Transfer Learning. - Peidi Xu; Faezeh Moshfeghifar; Torkan Gholamalizadeh; Michael Bachmann Nielsen; Kenny Erleben; Sune Darkner (MILLanD@MICCAI, 2022)

LibHip: An open-access hip joint model repository suitable for finite element method simulation. - Faezeh Moshfeghifar; Torkan Gholamalizadeh; Zachary Ferguson; Teseo Schneider; Michael Bachmann Nielsen; Daniele Panozzo; Sune Darkner; Kenny Erleben (Comput. Methods Programs Biomed., 2022)

cRedAnno+: Annotation Exploitation In Self-Explanatory Lung Nodule Diagnosis. - Jiahao Lu; Chong Yin; Kenny Erleben; Michael Bachmann Nielsen; Sune Darkner (ISBI, 2023)

"It depends": Configuring AI to Improve Clinical Usefulness Across Contexts. - Hubert Dariusz Zajac; Jorge Miguel Neves Ribeiro; Silvia Ingala; Simona Gentile; Ruth Wanjohi; Samuel Nguku Gitau; Jonathan Frederik Carlsen; Michael Bachmann Nielsen; Tariq Osman Andersen (Conference on Designing Interactive Systems, 2024)

"It depends": Configuring AI to Improve Clinical Usefulness Across Contexts. - Hubert Dariusz Zajac; Jorge M. N. Ribeiro; Silvia Ingala; Simona Gentile; Ruth Wanjohi; Samuel N. Gitau; Jonathan Frederik Carlsen; Michael Bachmann Nielsen; Tariq O. Andersen (CoRR, 2024)

MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis. - Jiahao Lu; Chong Yin; Silvia Ingala; Kenny Erleben; Michael Bachmann Nielsen; Sune Darkner (CoRR, 2025)

Towards Clinically Useful AI: From Radiology Practices in Global South and North to Visions of AI Support. - Hubert Dariusz Zajac; Tariq O. Andersen; Elijah Kwasa; Ruth Wanjohi; Mary K. Onyinkwa; Edward K. Mwaniki; Samuel N. Gitau; Shawnim S. Yaseen; Jonathan Frederik Carlsen; Marco Fraccaro; Michael Bachmann Nielsen; Yunan Chen (ACM Trans. Comput. Hum. Interact., 2025)