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Current and future molecular diagnostics in colorectal cancer and colorectal adenoma

World journal of gastroenterology : WJG, 2014-04, Vol.20 (14), p.3847-3857

2014

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Diagnostic efficiency on ultrasound shear wave elastography in evaluation of steatosis severity for non-alcoholic fatty liver disease: a rat model

European journal of medical research, 2023-02, Vol.28 (1), p.75-75, Article 75

2023

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CT-based methods for assessment of metabolic dysfunction associated with fatty liver disease

European radiology experimental, 2023-11, Vol.7 (1), p.72-72, Article 72

2023

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Multi-Organ Omics-Based Prediction for Adaptive Radiation Therapy Eligibility in Nasopharyngeal Carcinoma Patients Undergoing Concurrent Chemoradiotherapy

Frontiers in oncology, 2022-01, Vol.11, p.792024-792024

2022

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Augmented Features Synergize Radiomics in Post-Operative Survival Prediction and Adjuvant Therapy Recommendation for Non-Small Cell Lung Cancer

Frontiers in oncology, 2022-01, Vol.12, p.659096-659096

2022

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Pretreatment radiomic biomarker for immunotherapy responder prediction in stage IB–IV NSCLC (LCDigital-IO Study): a multicenter retrospective study

Journal for immunotherapy of cancer, 2023-10, Vol.11 (10), p.e007369

2023

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A Multi-Center Study of CT-Based Neck Nodal Radiomics for Predicting an Adaptive Radiotherapy Trigger of Ill-Fitted Thermoplastic Masks in Patients with Nasopharyngeal Carcinoma

Life (Basel, Switzerland), 2022-02, Vol.12 (2), p.241

2022

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Spatial analysis of the impact of urban geometry and socio-demographic characteristics on COVID-19, a study in Hong Kong

The Science of the total environment, 2021-04, Vol.764, p.144455-144455, Article 144455

2021

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Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic study

European radiology, 2022-03, Vol.32 (3), p.1983-1996

2022

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MDM-U-Net: A novel network for renal cancer structure segmentation

Computerized medical imaging and graphics, 2023-10, Vol.109, p.102301-102301, Article 102301

2023

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

Journal of medical Internet research, 2024-05, Vol.26 (5), p.e53724-e53724

2024

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Bioinformatics Identification of Regulatory Genes and Mechanism Related to Hypoxia-Induced PD-L1 Inhibitor Resistance in Hepatocellular Carcinoma

International journal of molecular sciences, 2023-05, Vol.24 (10), p.8720

2023

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The feasibility and accuracy of machine learning in improving safety and efficiency of thrombolysis for patients with stroke: Literature review and proposed improvements

Frontiers in neurology, 2022-10, Vol.13, p.934929-934929

2022

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

Bioengineering (Basel), 2024-03, Vol.11 (3), p.270

2024

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Disease-Specific Target Gene Expression Profiling of Molecular Imaging Probes: Database Development and Clinical Validation

Molecular imaging, 2014-08, Vol.13 (6), p.7290

2014

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Implementation and new insights in molecular diagnostics for HIV infection

Expert review of molecular diagnostics, 2018-05, Vol.18 (5), p.433-441

2018

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A new machine learning algorithm with high interpretability for improving the safety and efficiency of thrombolysis for stroke patients: A hospital-based pilot study

Digital health, 2023-01, Vol.9, p.20552076221149528-20552076221149528

2023

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Radiobioinformatics: A novel bridge between basic research and clinical practice for clinical decision support in diffuse liver diseases

iRadiology (Online), 2023-06, Vol.1 (2), p.167-189

2023

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Diffusion-weighted magnetic resonance imaging of primary cervical cancer in the detection of sub-centimetre metastatic lymph nodes

Cancer imaging, 2020-04, Vol.20 (1), p.27-27, Article 27

2020

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Primary Tumor Radiomic Model for Identifying Extrahepatic Metastasis of Hepatocellular Carcinoma Based on Contrast Enhanced Computed Tomography

Diagnostics (Basel), 2022-12, Vol.13 (1), p.102

2022

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Vector-model-supported approach in prostate plan optimization

Medical dosimetry : official journal of the American Association of Medical Dosimetrists, 2017, Vol.42 (2), p.79-84

2017

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The diagnostic methods in the COVID-19 pandemic, today and in the future

Expert review of molecular diagnostics, 2020-09, Vol.20 (9), p.985-993

2020

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Vector-model-supported optimization in volumetric-modulated arc stereotactic radiotherapy planning for brain metastasis

Medical dosimetry : official journal of the American Association of Medical Dosimetrists, 2017, Vol.42 (2), p.85-89

2017

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An update on COVID-19 pandemic: the epidemiology, pathogenesis, prevention and treatment strategies

Expert review of anti-infective therapy, 2021-07, Vol.19 (7), p.877-888

2021

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Genetic algorithm supported by graphical processing unit improves the exploration of effective connectivity in functional brain imaging

Frontiers in computational neuroscience, 2015-05, Vol.9, p.50-50

2015

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Current and future molecular diagnostics in colorectal cancer and colorectal adenoma

Diagnostic efficiency on ultrasound shear wave elastography in evaluation of steatosis severity for non-alcoholic fatty liver disease: a rat model

CT-based methods for assessment of metabolic dysfunction associated with fatty liver disease

Multi-Organ Omics-Based Prediction for Adaptive Radiation Therapy Eligibility in Nasopharyngeal Carcinoma Patients Undergoing Concurrent Chemoradiotherapy

Augmented Features Synergize Radiomics in Post-Operative Survival Prediction and Adjuvant Therapy Recommendation for Non-Small Cell Lung Cancer

Pretreatment radiomic biomarker for immunotherapy responder prediction in stage IB–IV NSCLC (LCDigital-IO Study): a multicenter retrospective study

A Multi-Center Study of CT-Based Neck Nodal Radiomics for Predicting an Adaptive Radiotherapy Trigger of Ill-Fitted Thermoplastic Masks in Patients with Nasopharyngeal Carcinoma

Spatial analysis of the impact of urban geometry and socio-demographic characteristics on COVID-19, a study in Hong Kong

Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic study

MDM-U-Net: A novel network for renal cancer structure segmentation

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

Bioinformatics Identification of Regulatory Genes and Mechanism Related to Hypoxia-Induced PD-L1 Inhibitor Resistance in Hepatocellular Carcinoma

The feasibility and accuracy of machine learning in improving safety and efficiency of thrombolysis for patients with stroke: Literature review and proposed improvements

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

Disease-Specific Target Gene Expression Profiling of Molecular Imaging Probes: Database Development and Clinical Validation

Implementation and new insights in molecular diagnostics for HIV infection

A new machine learning algorithm with high interpretability for improving the safety and efficiency of thrombolysis for stroke patients: A hospital-based pilot study

Radiobioinformatics: A novel bridge between basic research and clinical practice for clinical decision support in diffuse liver diseases

Diffusion-weighted magnetic resonance imaging of primary cervical cancer in the detection of sub-centimetre metastatic lymph nodes

Primary Tumor Radiomic Model for Identifying Extrahepatic Metastasis of Hepatocellular Carcinoma Based on Contrast Enhanced Computed Tomography

Vector-model-supported approach in prostate plan optimization

The diagnostic methods in the COVID-19 pandemic, today and in the future

Vector-model-supported optimization in volumetric-modulated arc stereotactic radiotherapy planning for brain metastasis

An update on COVID-19 pandemic: the epidemiology, pathogenesis, prevention and treatment strategies

Genetic algorithm supported by graphical processing unit improves the exploration of effective connectivity in functional brain imaging

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