Yinxi Wang

Stockholm, AB, Sweden

Last Updated: 09/26/2026

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Found 10 publications

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence-Assisted Cancer Diagnosis.

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence-Assisted Cancer Diagnosis.

Journal: Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc

Published: August 15, 2024

Prediction of gene expression-based breast cancer proliferation scores from histopathology whole slide images using deep learning.

Prediction of gene expression-based breast cancer proliferation scores from histopathology whole slide images using deep learning.

Journal: BMC cancer

Published: August 02, 2024

Clinical evaluation of deep learning-based risk profiling in breast cancer histopathology and comparison to an established multigene assay.

Clinical evaluation of deep learning-based risk profiling in breast cancer histopathology and comparison to an established multigene assay.

Journal: Breast cancer research and treatment

Published: January 28, 2024

Validation of an AI-based solution for breast cancer risk stratification using routine digital histopathology images.

Validation of an AI-based solution for breast cancer risk stratification using routine digital histopathology images.

Journal: Breast cancer research : BCR

Published: January 18, 2024

Deep learning-based risk stratification of preoperative breast biopsies using digital whole slide images.

Deep learning-based risk stratification of preoperative breast biopsies using digital whole slide images.

Journal: Breast cancer research : BCR

Published: December 21, 2023

Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer.

Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer.

Journal: Breast cancer research : BCR

Published: April 24, 2023

Transcriptional intra-tumour heterogeneity predicted by deep learning in routine breast histopathology slides provides independent prognostic information.

Transcriptional intra-tumour heterogeneity predicted by deep learning in routine breast histopathology slides provides independent prognostic information.

Journal: European journal of cancer (Oxford, England : 1990)

Published: January 11, 2023

Using deep learning to detect patients at risk for prostate cancer despite benign biopsies.

Using deep learning to detect patients at risk for prostate cancer despite benign biopsies.

Journal: iScience

Published: August 20, 2021

Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks.

Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks.

Journal: Bioinformatics (Oxford, England)

Published: May 31, 2021

Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast Cancer.

Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast Cancer.

Journal: Cancer research

Published: February 12, 2021

Showing 1-10 of 10

Last Updated: 09/26/2026