Shuo Li

Case Western Reserve University Case School of Engineering

United States

Research Interests

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Articles (30)

Collaborators (3)

Boyu Wang

Assistant Professor

Western University

Zain Ul Abideen Asad

Assistant Professor of Medicine

University of Oklahoma Health Sciences Center

UNITED STATES

Chenchu Xu

Western University

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Shuo Li

Research Interests

Explore related searches

Articles (30)

Collaborators (3)

Boyu Wang

Zain Ul Abideen Asad

Chenchu Xu

Make your next move.

Shuo Li

Research Interests

Explore related searches

Articles (30)

UM-Net: Rethinking ICGNet for polyp segmentation with uncertainty modeling

Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning

Knowledge-driven interpretative conditional diffusion model for contrast-free myocardial infarction enhancement synthesis

When evidence modeling meets knowledge distillation: Towards reliable contrast-enhanced knowledge distillation for non-contrast medical image segmentation

Diffusion model for medical image denoising, reconstruction and translation

LLM-GAODE: Large-language-model augmented neural ordinary differential equation network for video nystagmography classification

VLD-Net: Localization and Detection of the Vertebrae From X-Ray Images by Reinforcement Learning With Adaptive Exploration Mechanism and Spine Anatomy Information

MedKAFormer: When Kolmogorov–Arnold Theorem Meets Vision Transformer for Medical Image Representation

Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning

MeMGB-Diff: Memory-Efficient Multivariate Gaussian Bias Diffusion Model for 3D bias field correction

An interpretable two-branch bi-coordinate network based on multi-grained domain knowledge for classification of thyroid nodules in ultrasound images

Dual domain distribution disruption with semantics preservation: Unsupervised domain adaptation for medical image segmentation

MIST: Multi-instance selective transformer for histopathological subtype prediction

Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation

Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation

Environmental Exposome and Atrial Fibrillation: Emerging Evidence and Future Directions

Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness

STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+T CMR Segmentation

Automatic Delineation of the 3D Left Atrium From LGE-MRI: Actor-Critic Based Detection and Semi-Supervised Segmentation

Common-Unique Decomposition Driven Diffusion Model for Contrast-Enhanced Liver MR Images Multi-Phase Interconversion

Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning

Attractive deep morphology-aware active contour network for vertebral body contour extraction with extensions to heterogeneous and semi-supervised scenarios

Curriculum label distribution learning for imbalanced medical image segmentation

Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19

Trajectory-Aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal in Intravascular Optical Coherence Tomography

ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy

O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation

A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images

BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation

Corrections to “Image Projection Network: 3D to 2D Image Segmentation in OCTA Images”

Collaborators (3)

Boyu Wang

Zain Ul Abideen Asad

Chenchu Xu

Make your next move.