Yuyin Zhou
yuyinzhou.github.io
0000-0003-2232-9563
UC Santa Cruz
47 papers found
Refreshing results…
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning
CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning
A Simple Data Mixing Prior for Improving Self-Supervised Learning
Learning to Bootstrap for Combating Label Noise
In Defense of Image Pre-Training for Spatiotemporal Recognition
Can CNNs Be More Robust Than Transformers?
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks
Added value of deep learning-based liver parenchymal CT volumetry for predicting major arterial injury after blunt hepatic trauma: a decision tree analysis
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction
TransUNet: Transformers make strong encoders for medical image segmentation
DualNorm-UNet: Incorporating global and local statistics for robust medical image segmentation
Pancreas CT Segmentation by Predictive Phenotyping
A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical Estimation
Neural Architecture Search for Lightweight Non-Local Networks
Deep Distance Transform for Tubular Structure Segmentation in CT Scans
Universal Physical Camouflage Attacks on Object Detectors
Learning Transferable Adversarial Examples via Ghost Networks
Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans
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