Michael Bachmann Nielsen

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Transfer Learning

Computerized Tomography

Top Venues

Publications

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
"It depends": Configuring AI to Improve Clinical Usefulness Across Contexts. Conference on Designing Interactive Systems (2024)
Jiahao Lu, Chong Yin, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner
cRedAnno+: Annotation Exploitation In Self-Explanatory Lung Nodule Diagnosis. ISBI (2023)
Peidi Xu, Faezeh Moshfeghifar, Torkan Gholamalizadeh, Michael Bachmann Nielsen, Kenny Erleben, Sune Darkner
Auto-segmentation of Hip Joints using MultiPlanar UNet with Transfer learning. CoRR (2022)
Jiahao Lu, Chong Yin, Oswin Krause, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner
Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis. CoRR (2022)
Jiahao Lu, Chong Yin, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule Diagnosis. CoRR (2022)
Faezeh Moshfeghifar, Torkan Gholamalizadeh, Zachary Ferguson, Teseo Schneider, Michael Bachmann Nielsen, Daniele Panozzo, Sune Darkner, Kenny Erleben
LibHip: An open-access hip joint model repository suitable for finite element method simulation. Comput. Methods Programs Biomed. 226 (2022)
Peidi Xu, Faezeh Moshfeghifar, Torkan Gholamalizadeh, Michael Bachmann Nielsen, Kenny Erleben, Sune Darkner
Auto-segmentation of Hip Joints Using MultiPlanar UNet with Transfer Learning. MILLanD@MICCAI (2022)
Jiahao Lu, Chong Yin, Oswin Krause, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner
Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis. iMIMIC@MICCAI (2022)