Nicole Schadewaldt

According to our database, Nicole Schadewaldt authored at least 8 papers between 2010 and 2019.

Collaborative distances:

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

2019

Offset regression networks for view plane estimation in 3D fetal ultrasound.

Alexander Schmidt-Richberg, Nicole Schadewaldt, Tobias Klinder, Matthias Lenga, Robert Trahms, Earl Canfield, David Roundhill, Cristian Lorenz

Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018

Automated abdominal plane and circumference estimation in 3D US for fetal screening.

Cristian Lorenz, Tom Brosch, Cybèle Ciofolo-Veit, Tobias Klinder, Thierry Lefevre, Angelo Cavallaro, Ibtisam Salim, Aris T. Papageorghiou, Caroline Raynaud, David Roundhill, Laurence Rouet, Nicole Schadewaldt, Alexander Schmidt-Richberg

Proceedings of the Medical Imaging 2018: Image Processing, 2018

2017

Abdomen Segmentation in 3D Fetal Ultrasound Using CNN-powered Deformable Models.

Alexander Schmidt-Richberg, Tom Brosch, Nicole Schadewaldt, Tobias Klinder, Angelo Cavallaro, Ibtisam Salim, David Roundhill, Aris T. Papageorghiou, Cristian Lorenz

Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

2016

Precise anatomy localization in CT data by an improved probabilistic tissue type atlas.

Astrid Franz, Nicole Schadewaldt, Heinrich Schulz, Torbjørn Vik, Martin Bergtholdt, Daniel Bystrov

Proceedings of the Medical Imaging 2016: Image Processing, 2016

2015

Annotation-free probabilistic atlas learning for robust anatomy detection in CT images.

Astrid Franz, Nicole Schadewaldt, Heinrich Schulz, Torbjørn Vik, Lisa Kausch, Jan Modersitzki, Rafael Wiemker, Daniel Bystrov

Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014

Bladder segmentation in MR images with watershed segmentation and graph cut algorithm.

Thomas Blaffert, Steffen Renisch, Nicole Schadewaldt, Heinrich Schulz, Rafael Wiemker

Proceedings of the Medical Imaging 2014: Image Processing, 2014

2012

A new method for robust organ positioning in CT images.

Torbjørn Vik, Daniel Bystrov, Nicole Schadewaldt, Heinrich Schulz, Jochen Peters

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2010

A completely automated processing pipeline for lung and lung lobe segmentation and its application to the LIDC-IDRI data base.

Thomas Blaffert, Rafael Wiemker, Hans Barschdorf, Sven Kabus, Tobias Klinder, Cristian Lorenz, Nicole Schadewaldt, Ekta Dharaiya

Proceedings of the Medical Imaging 2010: Image Processing, 2010