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Lawrence Chan

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The Hong Kong Polytechnic University

Hong Kong

Research Interests

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Professors in Medical Imaging

Recent Grants

Grant: Close

Radiomics-based Case Retrieval Algorithm Supported by Deep Learning of Image Feature Clusters of Hepatic Pathology in Computed Tomography

Open Date: 2017-01-01

Close Date:

Grant: Close

Characterising and quantifying intratumour heterogeneity in cervical cancer with intravoxel incoherent motion diffusion-weighted MRI.

Open Date: 2017-01-01

Close Date: 2019-08-31

Grant: Close

Ecological relationship between Legionella and biofilm communities in potable water distribution system

Open Date: 2015-07-01

Close Date: 2017-12-01

Grant: Close

Micro-PET for pre-clinical molecular imaging research in Hong Kong

Open Date: 2015-06-01

Close Date: 2018-06-01

Grant: Close

Functional Role of MicroRNAs in EGFR‐Targeted Therapy Resistance in Non‐Small Cell Lung Cancer

Open Date: 2015-03-01

Close Date: 2017-03-01

Articles (20)

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2023

Collaborators (3)

Jing Cai

Professor

The Hong Kong Polytechnic University

HONG KONG

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Jason Wong

Professor

The University of Hong Kong

HONG KONG

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Xiang Li

Assistant Professor

Harvard Medical School

UNITED STATES

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ApplyKite TwinLearns as you apply

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Lawrence Chan

Research Interests

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Recent Grants

Articles (20)

Deep-Learning-Based 3D Dose Distribution Prediction for VMAT Lung Cancer Treatment Using an Enhanced UNet3D Architecture with Composite Loss Functions

Artificial Intelligence for Computer-Aided Detection in Biomedical Applications

Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective, multicentric, diagnostic study

Clinical efficacy of immunotherapy in combination of locoregional therapies for advanced hepatocellular carcinoma: a systematic review and meta-analysis

ViGNet: A clinical data-supported deep learning approach for NSCLC immunotherapy response prediction in digital pathology

Exploring Sarcopenic Obesity in the Cancer Setting: Insights from the National Health and Nutrition Examination Survey on Prognosis and Predictors Using Machine Learning

Functional Role of NOXA in Hypoxia-Mediated PD-L1 Inhibitor Response in Hepatocellular Carcinoma

Identification and Patient Benefit Evaluation of Machine Learning Models for Predicting 90-Day Mortality After Endovascular Thrombectomy Based on Routinely Ready Clinical Information

Kolmogorov–Arnold Network Model Integrated with Hypoxia Risk for Predicting PD-L1 Inhibitor Responses in Hepatocellular Carcinoma

Clinical Applications of Fractional Flow Reserve Derived from Computed Tomography in Coronary Artery Disease

An electronic health record-linked machine learning tool for diabetes risk assessment in adults with prediabetes

Inflammatory signaling pathways in pancreatic β-cell: New insights into type 2 diabetes pathogenesis

Integrated clinical-radiomic model for predicting treatment response of concurrent chemo-radiotherapy and radiotherapy alone in controversial subgroup of AJCC/UICC ninth edition stage I nasopharyngeal cancer

Comparative Analysis of Repeatability in CT Radiomics and Dosiomics Features under Image Perturbation: A Study in Cervical Cancer Patients

Prognostic PET [11C]-acetate uptake is associated with hypoxia gene expression in patients with late-stage hepatocellular carcinoma – a bench to bed study

Evaluating the Diagnostic Performance of Large Language Models on Complex Multimodal Medical Cases

Altered dynamic functional connectivity in antagonistic state in first-episode, drug-naïve patients with major depressive disorder

Contrast-Enhanced Ultrasound-Based Radiomics for the Prediction of Axillary Lymph Nodes Status in Breast Cancer

Enhancing Diagnostic Images to Improve the Performance of the Segment Anything Model in Medical Image Segmentation

Synergistic markers based on inter-covariate association estimate treatment option with lower propensity to covariates

Collaborators (3)

Jing Cai

Jason Wong

Xiang Li

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