Dr. Vincent Andrearczyk Profile

Dr. Vincent Andrearczyk

at HES-SO Valais-Wallis

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Author

Publications (7)

Proceedings Article | 16 March 2020 Presentation + Paper

Generalizing convolution neural networks on stain color heterogeneous data for computational pathology

Amjad Khan, Manfredo Atzori, Sebastian Otálora, Vincent Andrearczyk, Henning Müller

Proceedings Volume 11320, 113200R (2020) https://doi.org/10.1117/12.2549718

KEYWORDS: Tissues, Pathology, Data centers, RGB color model, Tumors, Convolution, Neural networks, Data acquisition, Visualization, Scanners

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Proceedings Article | 16 March 2020 Presentation + Paper

Systematic comparison of deep learning strategies for weakly supervised Gleason grading

Sebastian Otálora, Manfredo Atzori, Amjad Khan, Oscar Jimenez-del-Toro, Vincent Andrearczyk, Henning Müller

Proceedings Volume 11320, 113200L (2020) https://doi.org/10.1117/12.2548571

KEYWORDS: Data modeling, Performance modeling, Pathology, Principal component analysis, Tissues, Cancer, Biopsy, Machine learning, Feature extraction, Prostate

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Proceedings Article | 10 March 2020 Presentation + Paper

An exploration of uncertainty information for segmentation quality assessment

Katharina Hoebel, Vincent Andrearczyk, Andrew Beers, Jay Patel, Ken Chang, Adrien Depeursinge, Henning Müller, Jayashree Kalpathy-Cramer

Proceedings Volume 11313, 113131K (2020) https://doi.org/10.1117/12.2548722

KEYWORDS: Image segmentation, Data modeling, Lung, Statistical modeling, Medical imaging, Visualization

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Proceedings Article | 2 March 2020 Presentation + Paper

Exploiting biomedical literature to mine out a large multimodal dataset of rare cancer studies

Anjani Dhrangadhariya, Oscar Jimenez-del-Toro, Vincent Andrearczyk, Manfredo Atzori, Henning Müller

Proceedings Volume 11318, 113180A (2020) https://doi.org/10.1117/12.2549565

KEYWORDS: Cancer, Visualization, Image classification, Mining, Biomedical optics, Microscopy, Tumor growth modeling, Machine learning, Data modeling, Lawrencium

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SPIE Journal Paper | 6 June 2019

Neural network training for cross-protocol radiomic feature standardization in computed tomography

Vincent Andrearczyk, Adrien Depeursinge, Henning Müller

JMI, Vol. 6, Issue 02, 024008, (June 2019) https://doi.org/10.1117/12.10.1117/1.JMI.6.2.024008

KEYWORDS: Scanners, Feature extraction, Principal component analysis, Neural networks, Computed tomography, Image classification, Medical imaging, Reconstruction algorithms, Tissues, Image acquisition

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Proceedings Article | 15 March 2019 Presentation + Paper

Learning cross-protocol radiomics and deep feature standardization from CT images of texture phantoms

Vincent Andrearczyk, Adrien Depeursinge, Henning Müller

Proceedings Volume 10954, 109540I (2019) https://doi.org/10.1117/12.2512683

KEYWORDS: Scanners, Feature extraction, Principal component analysis, Computed tomography, Neural networks, Tissues, Medical imaging, Lung cancer, Image processing, Image acquisition

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Proceedings Article | 13 March 2019 Presentation + Paper

Improved interpretability for computer-aided severity assessment of retinopathy of prematurity

Mara Graziani, James Brown, Vincent Andrearczyk, Veysi Yildiz, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Michael Chiang, Jayashree Kalpathy-Cramer, Henning Müller

Proceedings Volume 10950, 109501R (2019) https://doi.org/10.1117/12.2512584

KEYWORDS: Visualization, Image segmentation, Feature extraction, Machine learning, Neurons, Network architectures, Diagnostics, Convolutional neural networks, Visual process modeling, Computer aided diagnosis and therapy

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Showing 5 of 7 publications

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