Yingna Chen

Shanghai, China

Last Updated: 09/26/2026

Save publications for later

Sign Up

Not sure about your diagnosis?

Check Your Symptoms

Found 9 publications

Supervised contrastive loss helps uncover more robust features for photoacoustic prostate cancer identification.

Supervised contrastive loss helps uncover more robust features for photoacoustic prostate cancer identification.

Journal: Frontiers in oncology

Published: March 25, 2025

Detecting Collagen by Machine Learning Improved Photoacoustic Spectral Analysis for Breast Cancer Diagnostics: Feasibility Studies With Murine Models.

Detecting Collagen by Machine Learning Improved Photoacoustic Spectral Analysis for Breast Cancer Diagnostics: Feasibility Studies With Murine Models.

Journal: Journal of biophotonics

Published: August 14, 2024

Molecular breast cancer subtype identification using photoacoustic spectral analysis and machine learning at the biomacromolecular level.

Molecular breast cancer subtype identification using photoacoustic spectral analysis and machine learning at the biomacromolecular level.

Journal: Photoacoustics

Published: December 05, 2022

CaCO3 powder-mediated biomineralization of antigen nanosponges synergize with PD-1 blockade to potentiate anti-tumor immunity.

CaCO3 powder-mediated biomineralization of antigen nanosponges synergize with PD-1 blockade to potentiate anti-tumor immunity.

Journal: Journal of nanobiotechnology

Published: November 18, 2022

Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis.

Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis.

Journal: Photoacoustics

Published: November 02, 2021

Characterization of multi-biomarkers for bone health assessment based on photoacoustic physicochemical analysis method.

Characterization of multi-biomarkers for bone health assessment based on photoacoustic physicochemical analysis method.

Journal: Photoacoustics

Published: July 03, 2021

Prostate cancer identification via photoacoustic spectroscopy and machine learning.

Prostate cancer identification via photoacoustic spectroscopy and machine learning.

Journal: Photoacoustics

Published: November 23, 2020

Examining the technical feasibility of prostate cancer molecular imaging by transrectal photoacoustic tomography with transurethral illumination.

Examining the technical feasibility of prostate cancer molecular imaging by transrectal photoacoustic tomography with transurethral illumination.

Journal: Experimental biology and medicine (Maywood, N.J.)

Published: October 23, 2019

A Light-Triggered Mesenchymal Stem Cell Delivery System for Photoacoustic Imaging and Chemo-Photothermal Therapy of Triple Negative Breast Cancer.

A Light-Triggered Mesenchymal Stem Cell Delivery System for Photoacoustic Imaging and Chemo-Photothermal Therapy of Triple Negative Breast Cancer.

Journal: Advanced science (Weinheim, Baden-Wurttemberg, Germany)

Published: March 12, 2018

Showing 1-9 of 9

Last Updated: 09/26/2026