Michael Bachmann Nielsen

According to our database, Michael Bachmann Nielsen authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., April, 2025

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, April, 2025

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

"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

Proceedings of the Designing Interactive Systems Conference, 2024

2023

cRedAnno+: Annotation Exploitation In Self-Explanatory Lung Nodule Diagnosis.

Jiahao Lu, Chong Yin, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

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

Auto-segmentation of Hip Joints Using MultiPlanar UNet with Transfer Learning.

Peidi Xu, Faezeh Moshfeghifar, Torkan Gholamalizadeh, Michael Bachmann Nielsen, Kenny Erleben, Sune Darkner

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis.

Jiahao Lu, Chong Yin, Oswin Krause, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022