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Luyang Luo

Assistant Professor

Yale University

United States

Research Interests

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Professors in United States Professors in Medical Imaging Medical Imaging professors in United States

Articles (20)

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2027

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2026

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2026

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2026

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2024

Collaborators (12)

Fateme Nateghi Haredasht

Stanford University

UNITED STATES

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Xiu Juan Zhang

Assistant Professor

The University of Hong Kong

HONG KONG

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Yi Lin

Weill Cornell Medicine

UNITED STATES

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Subathra Adithan

Additional Professor

Jawaharlal Institute of Postgraduate Medical Education & Research

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David Kim

Assistant Professor

Stanford University

UNITED STATES

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Vishnu Ravi

Clinical Assistant Professor of Medicine

Stanford University

UNITED STATES

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Ethan Goh

Stanford University

UNITED STATES

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Pranav Rajpurkar

Harvard University

UNITED STATES

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Neeraj Ramesh Mahboobani

Clinical Assistant Professor

The Chinese University of Hong Kong (CUHK)

HONG KONG

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Hao Chen

Assistant Professor

The Hong Kong University of Science and Technology

HONG KONG

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Simon KH Szeto

Assistant Professor

The Chinese University of Hong Kong (CUHK)

CHINA

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Winnie Chu

Professor

The Chinese University of Hong Kong (CUHK)

HONG KONG

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Luyang Luo

Research Interests

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Articles (20)

Self-eXplainable AI for medical image analysis: A survey and new outlooks

International Retrospective Observational Study of Continual Learning for AI on Endotracheal Tube Placement from Chest Radiographs

Learning with less supervision: A survey of label-efficient learning for medical image analysis

A clinical environment simulator for dynamic AI evaluation.

A universal foundation model for grounded biomedical image interpretation

Toward a test of medical AI superintelligence

ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports

Towards generalizable AI in medicine via Generalist–Specialist Collaboration

SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition

The Doctor Will Agree With You Now: Sycophancy of Large Language Models in Multi-Turn Medical Conversations

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions

A large model for non-invasive and personalized management of breast cancer from multiparametric MRI

Large-scale generative tumor synthesis in computed tomography images for improving tumor recognition

Mitigating medical dataset bias by learning adaptive agreement from a biased council

Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images

HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification

Learning robust medical image segmentation from multi-source annotations

Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoders

Deep learning-based image quality assessment for optical coherence tomography macular scans: a multicentre study

Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images

Collaborators (12)

Fateme Nateghi Haredasht

Xiu Juan Zhang

Yi Lin

Subathra Adithan

David Kim

Vishnu Ravi

Ethan Goh

Pranav Rajpurkar

Neeraj Ramesh Mahboobani

Hao Chen

Simon KH Szeto

Winnie Chu

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