Dr. Simon John Christoph Soerensen Profile

Dr. Simon John Christoph Soerensen

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Publications (4)

Proceedings Article | 3 April 2024 Poster + Paper

ArtHiFy: artificial histopathology-style features for improving MRI-based prostate cancer detection

Indrani Bhattacharya, Wei Shao, Xinran Li, Simon J. Soerensen, Richard Fan, Pejman Ghanouni, James Brooks, Geoffrey Sonn, Mirabela Rusu

Proceedings Volume 12927, 129271U (2024) https://doi.org/10.1117/12.3006879

KEYWORDS: Histopathology, Magnetic resonance imaging, Cancer detection, Prostate cancer, Cancer, Prostate, Image fusion, Multimodal imaging

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Proceedings Article | 4 April 2022 Presentation + Paper

Integrating zonal priors and pathomic MRI biomarkers for improved aggressive prostate cancer detection on MRI

Indrani Bhattacharya, Wei Shao, Simon J. Soerensen, Richard Fan, Jeffrey Wang, Christian Kunder, Pejman Ghanouni, Geoffrey Sonn, Mirabela Rusu

Proceedings Volume 12033, 120330P (2022) https://doi.org/10.1117/12.2612433

KEYWORDS: Magnetic resonance imaging, Cancer, Prostate cancer, Prostate, Biopsy, Pathology, Image fusion, Medicine

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Proceedings Article | 15 February 2021 Presentation + Paper

Clinically significant prostate cancer detection on MRI with self-supervised learning using image context restoration

Amir Bolous, Arun Seetharaman, Indrani Bhattacharya, Richard Fan, Simon John Christoph Soerensen, Leo Chen, Pejman Ghanouni, Geoffrey Sonn, Mirabela Rusu

Proceedings Volume 11597, 115971M (2021) https://doi.org/10.1117/12.2581557

KEYWORDS: Magnetic resonance imaging, Prostate cancer, Data modeling, Tumor growth modeling, Cancer, Tissues, Sensors, Prostate, Performance modeling, Convolutional neural networks

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

ProGNet: prostate gland segmentation on MRI with deep learning

Simon John Christoph Soerensen, Richard Fan, Arun Seetharaman, Leo Chen, Wei Shao, Indrani Bhattacharya, Michael Borre, Benjamin Chung, Katherine To’o, Geoffrey Sonn, Mirabela Rusu

Proceedings Volume 11596, 115962R (2021) https://doi.org/10.1117/12.2580448

KEYWORDS: Magnetic resonance imaging, Image segmentation, Prostate, Data modeling, Biopsy, Sensors, Prostate cancer, Performance modeling, Magnetism, Image fusion

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