Dr. Nicole Schadewaldt Profile

Dr. Nicole Schadewaldt

at Philips Research

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Author

Publications (5)

Proceedings Article | 15 March 2019 Paper

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 Volume 10949, 109493K (2019) https://doi.org/10.1117/12.2512697

KEYWORDS: Fetus, Ultrasonography, Abdomen, Network architectures, 3D image processing, Neural networks

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Proceedings Article | 2 March 2018 Presentation + Paper

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

C. Lorenz, T. Brosch, C. Ciofolo-Veit, T. Klinder, T. Lefevre, A. Cavallaro, I. Salim, A. Papageorghiou, C. Raynaud, D. Roundhill, L. Rouet, N. Schadewaldt, A. Schmidt-Richberg

Proceedings Volume 10574, 105740I (2018) https://doi.org/10.1117/12.2292729

KEYWORDS: Fetus, Spine, Abdomen, Image segmentation, Stomach, 3D image processing

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Proceedings Article | 21 March 2016 Paper

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 Volume 9784, 978444 (2016) https://doi.org/10.1117/12.2209036

KEYWORDS: Tissues, Computed tomography, Image registration, Image segmentation, Probability theory, Image analysis, Eye, Lung, Liver, Head, Bone, Kidney

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Proceedings Article | 20 March 2015 Paper

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 Volume 9413, 941338 (2015) https://doi.org/10.1117/12.2082030

KEYWORDS: Tissues, Image registration, Computed tomography, Lung, Image segmentation, Kidney, Image processing, Heart, Liver, Spleen

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Proceedings Article | 21 March 2014 Paper

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

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

Proceedings Volume 9034, 90344C (2014) https://doi.org/10.1117/12.2044049

KEYWORDS: Image segmentation, Bladder, Tissues, Cervix, Magnetic resonance imaging, Prostate, Cancer, Oncology, Image processing algorithms and systems, Diagnostics

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