Dr. Tom Brosch Profile

Dr. Tom Brosch

Research Scientist at Philips GmbH Innovative Technologies

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Publications (5)

Proceedings Article | 16 March 2020 Presentation + Paper

Automated detection and segmentation of mediastinal and axillary lymph nodes from CT using foveal fully convolutional networks

Heike Carolus, Andra-Iza Iuga, Tom Brosch, Rafael Wiemker, Frank Thiele, Anna Höink, David Maintz, Michael Püsken, Tobias Klinder

Proceedings Volume 11314, 113141B (2020) https://doi.org/10.1117/12.2549246

KEYWORDS: Lymphatic system, Image segmentation, Network architectures, Cancer, Tissues, Computed tomography, Convolutional neural networks, Tumors, Pathology, 3D image processing

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Proceedings Article | 2 March 2018 Paper

Spine centerline extraction and efficient spine reading of MRI and CT data

C. Lorenz, N. Vogt, P. Börnert, T. Brosch

Proceedings Volume 10574, 1057425 (2018) https://doi.org/10.1117/12.2292700

KEYWORDS: Spine, Magnetic resonance imaging, Visualization, Image segmentation, Computed tomography, Image visualization, Convolutional neural networks, Image processing

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Proceedings Article | 2 March 2018 Presentation + Paper

Foveal fully convolutional nets for multi-organ segmentation

Tom Brosch, Axel Saalbach

Proceedings Volume 10574, 105740U (2018) https://doi.org/10.1117/12.2293528

KEYWORDS: Image segmentation, Network architectures, Image processing, Liver, Computed tomography, Kidney, Bladder, Feature extraction, 3D image processing, Medical imaging

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Proceedings Article | 2 March 2018 Presentation + Paper

Nearest neighbor 3D segmentation with context features

Evelin Hristova, Heinrich Schulz, Tom Brosch, Mattias Heinrich, Hannes Nickisch

Proceedings Volume 10574, 105740M (2018) https://doi.org/10.1117/12.2292181

KEYWORDS: Image segmentation, Kidney, Binary data, Feature extraction, Computed tomography, Magnetic resonance imaging, Liver, Bladder, Prostate, Spleen

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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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