Quing Zhu

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Professor

Washington University in St. Louis

United States

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About

Professor Quing Zhu is a faculty member at Washington University in St. Louis, USA. His research focuses on innovative imaging techniques, including photoacoustic imaging and diffuse optical tomography, to enhance the diagnosis and treatment of various cancers. Recent contributions include developments in structured light endoscopy and advanced deep learning methodologies for medical imaging applications.

Recent Grants

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Co-registered photoacoustic and ultrasound imaging for non-invasive ovarian cancer detection and characterization

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Near Infrared Diffused Light Imaging with Ultrasound Guidance

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Articles (14)

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (1)

William Chapman, Jr

Assistant Professor

Washington University in Saint Louis School of Medicine

UNITED STATES

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Quing Zhu

Research Interests

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Contact this professor

About

Recent Grants

Articles (14)

Structured light radial-view endoscope PROBE for IMAGING of colorectal tissue

Real‐time breast lesion classification combining diffuse optical tomography frequency domain data and BI‐RADS assessment

PA-NeRF, a neural radiance field model for 3D photoacoustic tomography reconstruction from limited Bscan data

Characterization of adnexal lesions using photoacoustic imaging to improve ultrasound O‐RADS risk assessment

Enhanced 3D visualization of human fallopian tube morphology using a miniature optical coherence tomography catheter

Depth‐resolved attenuation mapping of the human ovary and fallopian tube using optical coherence tomography

Cylindrical lens configuration for optimizing light delivery in a curvilinear endocavity photoacoustic imaging system

Deep learning based on co-registered ultrasound and photoacoustic imaging improves the assessment of rectal cancer treatment response

Fusion deep learning approach combining diffuse optical tomography and ultrasound for improving breast cancer classification

Automated pipeline for breast cancer diagnosis using US assisted diffuse optical tomography

Ultrasound-enhanced Unet model for quantitative photoacoustic tomography of ovarian lesions

A review of co-registered transvaginal photoacoustic and ultrasound imaging for ovarian cancer diagnosis

Human colorectal cancer tissue assessment using optical coherence tomography catheter and deep learning

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Collaborators (1)

William Chapman, Jr

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