Bianca Lassen-Schmidt

According to our database, Bianca Lassen-Schmidt authored at least 7 papers between 2010 and 2024.

Collaborative distances:

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

2024

Making Epidemiological and Clinical Studies FAIR Using the Example of COVID-19.

Iris Pigeot, Wolfgang Ahrens, Johannes Darms, Juliane Fluck, Martin Golebiewski, Horst K. Hahn, Xiaoming Hu, Timm Intemann, Elisa Kasbohm, Toralf Kirsten, Sebastian Klammt, Sophie Anne Ines Klopfenstein, Bianca Lassen-Schmidt, Manuela Peters, Ulrich Sax, Dagmar Waltemath, Carsten Oliver Schmidt

Datenbank-Spektrum, July, 2024

2020

Automatic segmentation of the pulmonary lobes with a 3D u-net and optimized loss function.

Bianca Lassen-Schmidt, Alessa Hering, Stefan Krass, Hans Meine

CoRR, 2020

Learning a Loss Function for Segmentation: A Feasibility Study.

Jan Hendrik Moltz, Annika Hänsch, Bianca Lassen-Schmidt, Benjamin Haas, A. Genghi, J. Schreier, Tomasz Morgas, Jan Klein

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2016

Illustrative PET/CT Visualisation of SIRT-Treated Lung Metastases.

Nico Merten, Sylvia Glaßer, Bianca Lassen-Schmidt, Oliver Stephan Großer, Jens Ricke, Holger Amthauer, Bernhard Preim

Proceedings of the 6th Eurographics Workshop on Visual Computing for Biology and Medicine, 2016

2013

Automatic Segmentation of the Pulmonary Lobes From Chest CT Scans Based on Fissures, Vessels, and Bronchi.

Bianca Lassen, Eva M. van Rikxoort, Michael Schmidt, Sjoerd Kerkstra, Bram van Ginneken, Jan-Martin Kuhnigk

IEEE Trans. Medical Imaging, 2013

2011

Interactive lung lobe segmentation and correction in tomographic images.

Bianca Lassen, Jan-Martin Kuhnigk, Eva M. van Rikxoort, Heinz-Otto Peitgen

Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

2010

Automatic segmentation of lung lobes in CT images based on fissures, vessels, and bronchi.

Bianca Lassen, Jan-Martin Kuhnigk, Ola Friman, Stefan Krass, Heinz-Otto Peitgen

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010