Yuyin Zhou

Assistant professor

University of California, Santa Cruz

United States

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About

Yuyin Zhou is an Assistant Professor at UC Santa Cruz. His research focuses on medical imaging with an emphasis on semi-supervised techniques, deep learning applications, and advanced segmentation methods. Recent articles highlight his work in areas such as federated learning, adversarial metric attacks, and quantitative visualization in trauma care. He is dedicated to enhancing diagnostic accuracy and personalized medicine through innovative imaging technologies.

Articles (11)

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2024

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2023

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2023

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2022

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2021

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2021

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2021

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2020

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2020

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University of Michigan–Ann Arbor

UNITED STATES

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Yuyin Zhou

Research Interests

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Articles (11)

Consistency-guided Differential Decoding for Enhancing Semi-supervised Medical Image Segmentation

Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging

Small-Object Sensitive Segmentation Using Across Feature Map Attention

External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data

Added value of deep learning-based liver parenchymal CT volumetry for predicting major arterial injury after blunt hepatic trauma: a decision tree analysis

Adversarial Metric Attack and Defense for Person Re-Identification

Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction

Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures: Potential role in personalized forecasting and decision support

Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans

A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical Estimation

Collaborators (5)

Daniel L. Rubin

Alan L. Yuille

Shengtian Sang

Eliot Siegel

Liyue Shen

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