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Medical Artificial Intelligence Lab @HKUMed

Building Clinically Translatable Medical AI For The Future

Research / Medial Activities

Recent notable research activities and publications are listed here.

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HKMJ - Artificial intelligence for prostate cancer detection and classification on magnetic resonance imaging: abridged secondary publication

HKMJ - Artificial intelligence for prostate cancer detection and classification on magnetic resonance imaging: abridged secondary publication

HKMJ - Artificial intelligence for prostate cancer detection and classification on magnetic resonance imaging: abridged secondary publication

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Apr 13, 20251 min read

npj Parkinson Disease - Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach

npj Parkinson Disease - Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach

npj Parkinson Disease - Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach

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Apr 13, 20251 min read

Machine Learning, Medical AI and Robotics -Translating theory into the clinic

Machine Learning, Medical AI and Robotics -Translating theory into the clinic

Machine Learning, Medical AI and Robotics -Translating theory into the clinic

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Sep 1, 20241 min read

Artificial intelligence–powered imaging-based diagnostic tools for ageing and longevity

Artificial intelligence–powered imaging-based diagnostic tools for ageing and longevity

Artificial intelligence–powered imaging-based diagnostic tools for ageing and longevity

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Sep 1, 20241 min read

Medical Imaging AI Summit April 2024 Gallery

Medical Imaging AI Summit April 2024 Gallery

Medical Imaging AI Summit April 2024 Gallery

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Apr 28, 20241 min read

npj aging - Machine learning prediction of hepatic steatosis using body composition parameters: A UK Biobank Study

npj aging - Machine learning prediction of hepatic steatosis using body composition parameters: A UK Biobank Study

npj aging - Machine learning prediction of hepatic steatosis using body composition parameters: A UK Biobank Study

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Jan 1, 20241 min read

Machine Learning, Medical AI and Robotics - Translating theory into the clinic

Machine Learning, Medical AI and Robotics - Translating theory into the clinic

Machine Learning, Medical AI and Robotics - Translating theory into the clinic

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Dec 1, 20231 min read

Geroscience - Metabolic biomarkers using nuclear magnetic resonance metabolomics assay for the prediction of aging‑related disease risk and mortality: a prospective, longitudinal, observational, coho

Geroscience - Metabolic biomarkers using nuclear magnetic resonance metabolomics assay for the prediction of aging‑related disease risk and mortality: a prospective, longitudinal, observational, coho

Geroscience - Metabolic biomarkers using nuclear magnetic resonance metabolomics assay for the prediction of aging‑related disease risk and mortality: a prospective, longitudinal, observational, coho

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Aug 2, 20231 min read

Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation

Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation

Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation

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Jun 29, 20231 min read

Diagnostics - Joint Cancer Segmentation and PI-RADS Classification on Multiparametric MRI Using MiniSegCaps Network

Diagnostics - Joint Cancer Segmentation and PI-RADS Classification on Multiparametric MRI Using MiniSegCaps Network

Diagnostics - Joint Cancer Segmentation and PI-RADS Classification on Multiparametric MRI Using MiniSegCaps Network

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Feb 7, 20231 min read

Human Brain Mapping - Semisupervised white matter hyperintensities segmentation on MRI

Human Brain Mapping - Semisupervised white matter hyperintensities segmentation on MRI

Human Brain Mapping - Semisupervised white matter hyperintensities segmentation on MRI

Jan 2, 20231 min read

A Multimodal Deep Learning Approach to Predicting Systemic Diseases from Oral Conditions

A Multimodal Deep Learning Approach to Predicting Systemic Diseases from Oral Conditions

A Multimodal Deep Learning Approach to Predicting Systemic Diseases from Oral Conditions

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Dec 16, 20220 min read

Early stage NSCLS patients’ prognostic prediction with multi-information using transformer and graph neural network model

Early stage NSCLS patients’ prognostic prediction with multi-information using transformer and graph neural network model

Early stage NSCLS patients’ prognostic prediction with multi-information using transformer and graph neural network model

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Oct 4, 20221 min read

Predicting CT-Based Coronary Artery Disease Using Vascular Biomarkers Derived from Fundus Photographs with a Graph Convolutional Neural Network

Predicting CT-Based Coronary Artery Disease Using Vascular Biomarkers Derived from Fundus Photographs with a Graph Convolutional Neural Network

Predicting CT-Based Coronary Artery Disease Using Vascular Biomarkers Derived from Fundus Photographs with a Graph Convolutional Neural Network

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Jun 8, 20221 min read

IEEE Transactions on Medical Imaging "DRONE" paper [IF=10.048]

IEEE Transactions on Medical Imaging "DRONE" paper [IF=10.048]

IEEE Transactions on Medical Imaging "DRONE" paper [IF=10.048]

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Sep 6, 20211 min read

Nature Scientific Reports COVID-19 Blood Paper [IF=4.379]

Nature Scientific Reports COVID-19 Blood Paper [IF=4.379]

Nature Scientific Reports COVID-19 Blood Paper [IF=4.379]

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Sep 6, 20211 min read

EJNMMI "ML resampling Radiomics" paper [IF=9.236]

EJNMMI "ML resampling Radiomics" paper [IF=9.236]

EJNMMI "ML resampling Radiomics" paper [IF=9.236]

Sep 6, 20211 min read

Machine Learning and Radiomics Applications in Esophageal Cancers Using Non-Invasive Imaging Methods—A Critical Review of Literature

Machine Learning and Radiomics Applications in Esophageal Cancers Using Non-Invasive Imaging Methods—A Critical Review of Literature

Machine Learning and Radiomics Applications in Esophageal Cancers Using Non-Invasive Imaging Methods—A Critical Review of Literature

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May 19, 20211 min read

Using Genomics Feature Selection Method in Radiomics Pipeline Improves Prognostication Performance in Locally Advanced Esophageal Squamous Cell Carcinoma—A Pilot Study

Using Genomics Feature Selection Method in Radiomics Pipeline Improves Prognostication Performance in Locally Advanced Esophageal Squamous Cell Carcinoma—A Pilot Study

Using Genomics Feature Selection Method in Radiomics Pipeline Improves Prognostication Performance in Locally Advanced Esophageal Squamous Cell Carcinoma—A Pilot Study

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Apr 29, 20210 min read

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