Dr. Geoffrey A. Sonn Profile

Dr. Geoffrey A. Sonn

at Stanford Univ

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Author

Publications (9)

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 | 2 April 2024 Presentation + Paper

A deep learning framework to assess the feasibility of localizing prostate cancer on b-mode transrectal ultrasound images

Hassan Jahanandish, Sulaiman Vesal, Indrani Bhattacharya, Cynthia Xinran Li, Richard Fan, Geoffrey Sonn, Mirabela Rusu

Proceedings Volume 12932, 129320S (2024) https://doi.org/10.1117/12.3008819

KEYWORDS: Prostate cancer, Ultrasonography, Cancer, Biopsy, Prostate, Deep learning, Magnetic resonance imaging, Cancer detection, Image segmentation

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Proceedings Article | 1 April 2024 Presentation + Paper

Swin Transformer-based affine registration of MRI and ultrasound images of the prostate

Shengtian Sang, Hassan Jahanandish, Xinran Li, Sulaiman Vesal, Indrani Bhattacharya, Lichun Zhang, Richard Fan, Geoffrey Sonn, Mirabela Rusu

Proceedings Volume 12932, 1293208 (2024) https://doi.org/10.1117/12.3008797

KEYWORDS: Magnetic resonance imaging, Ultrasonography, Prostate, Image registration, Transformers, Matrices, Prostate cancer

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Proceedings Article | 1 April 2024 Presentation + Paper

Deep learning for prostate and central gland segmentation on micro-ultrasound images

Lichun Zhang, Steve Ran Zhou, MoonHyung Choi, Richard Fan, Shengtian Sang, Geoffrey Sonn, Mirabela Rusu

Proceedings Volume 12932, 1293207 (2024) https://doi.org/10.1117/12.3008845

KEYWORDS: Image segmentation, Prostate, Prostate cancer, Data modeling, Image processing, Deep learning, Transformers, 3D modeling, Visualization, Network architectures

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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

Intensity normalization of prostate MRIs using conditional generative adversarial networks for cancer detection

Thomas DeSilvio, Stefania Moroianu, Indrani Bhattacharya, Arun Seetharaman, Geoffrey Sonn, Mirabela Rusu

Proceedings Volume 11597, 115970J (2021) https://doi.org/10.1117/12.2582297

KEYWORDS: Magnetic resonance imaging, Prostate, Cancer, Scanners, Prostate cancer, Gallium nitride, Visualization, Tissues, Magnetism, Image analysis

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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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Proceedings Article | 15 March 2019 Presentation + Paper

Framework for the co-registration of MRI and histology images in prostate cancer patients with radical prostatectomy

Mirabela Rusu, Christian Kunder, Richard Fan, Pejman Ghanouni, Robert West, Geoffrey Sonn, James Brooks

Proceedings Volume 10949, 109491P (2019) https://doi.org/10.1117/12.2513099

KEYWORDS: Magnetic resonance imaging, Prostate, Cancer, Prostate cancer, Radiology, Pathology, Tumors, Image registration, Transform theory, Oncology

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Showing 5 of 9 publications

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