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Preoperative prediction of perineural invasion with multi-modality radiomics in rectal cancer

Scientific reports, 2021-05, Vol.11 (1), p.9429-9429, Article 9429

2021

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Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs

Artificial intelligence in medicine, 2017-11, Vol.83, p.58-66

2017

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Upconversion nanoparticle-based fluorescence resonance energy transfer sensing platform for the detection of cathepsin B activity in vitro and in vivo

Mikrochimica acta (1966), 2023-05, Vol.190 (5), p.181-181, Article 181

2023

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Distortion correction of single-shot EPI enabled by deep-learning

NeuroImage (Orlando, Fla.), 2020-11, Vol.221, p.117170-117170, Article 117170

2020

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A PET/CT nomogram incorporating SUVmax and CT radiomics for preoperative nodal staging in non-small cell lung cancer

European radiology, 2021-08, Vol.31 (8), p.6030-6038

2021

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The Growing Problem of Radiologist Shortage: China’s Perspective

Korean journal of radiology, 2023-11, Vol.24 (11), p.1046-1048

2023

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Conjugation of NaGdF4 upconverting nanoparticles on silica nanospheres as contrast agents for multi-modality imaging

Biomaterials, 2013-07, Vol.34 (21), p.5218-5225

2013

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Tumor microenvironment(TME) and single-source dual-energy CT(ssDECT) on assessment of inconformity between RECIST1.1 and pathological remission in neoadjuvant immunotherapy of NSCLC

Neoplasia (New York, N.Y.), 2024-04, Vol.50, p.100977-100977, Article 100977

2024

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Multiregional-Based Magnetic Resonance Imaging Radiomics Combined With Clinical Data Improves Efficacy in Predicting Lymph Node Metastasis of Rectal Cancer

Frontiers in oncology, 2021-02, Vol.10, p.585767-585767

2021

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Active Contours Driven by Multi-Feature Gaussian Distribution Fitting Energy with Application to Vessel Segmentation

PloS one, 2015-11, Vol.10 (11), p.e0143105-e0143105

2015

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Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imaging

BMC medical imaging, 2020-06, Vol.20 (1), p.1-59, Article 59

2020

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Photothermal induced chemo-immunological synergistic therapy for anaplastic thyroid carcinoma treatment

Materials & design, 2023-05, Vol.229, p.111859, Article 111859

2023

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A Novel Multimodal Radiomics Model for Preoperative Prediction of Lymphovascular Invasion in Rectal Cancer

Frontiers in oncology, 2020-04, Vol.10, p.457-457

2020

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Prognostic value of radiomics-based hyperdense middle cerebral artery sign for patients with acute ischemic stroke after thrombectomy strategy

Frontiers in neurology, 2023-01, Vol.13, p.1037204-1037204

2023

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Radiomics nomogram: A noninvasive tool for preoperative evaluation of the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules

Translational oncology, 2021-01, Vol.14 (1), p.100936-100936, Article 100936

2021

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Automatic Organ Segmentation for CT Scans Based on Super-Pixel and Convolutional Neural Networks

Journal of digital imaging, 2018-10, Vol.31 (5), p.748-760

2018

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The role of epicardial adipose tissue dysfunction in cardiovascular diseases: an overview of pathophysiology, evaluation, and management

Frontiers in endocrinology (Lausanne), 2023-05, Vol.14, p.1167952-1167952

2023

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Energy Transfer Assisted Fast X‐ray Detection in Direct/Indirect Hybrid Perovskite Wafer

Advanced science, 2022-05, Vol.9 (15), p.e2103735-n/a

2022

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Non-invasive evaluation of NAFLD and the contribution of genes: an MRI-PDFF-based cross-sectional study

Hepatology international, 2022-10, Vol.16 (5), p.1035-1051

2022

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3D Compressed Convolutional Neural Network Differentiates Neuromyelitis Optical Spectrum Disorders From Multiple Sclerosis Using Automated White Matter Hyperintensities Segmentations

Frontiers in physiology, 2020-12, Vol.11, p.612928-612928

2020

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Comparison of virtual unenhanced CT images of the abdomen under different iodine flow rates

Abdominal radiology (New York), 2017-01, Vol.42 (1), p.312-321

2017

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Editorial: Radiomics Advances Precision Medicine

Frontiers in oncology, 2022-03, Vol.12, p.853948-853948

2022

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Advanced Deep Learning Approach to Automatically Segment Malignant Tumors and Ablation Zone in the Liver With Contrast-Enhanced CT

Frontiers in oncology, 2021-07, Vol.11, p.669437-669437

2021

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Intra-Scanner and Inter-Scanner Reproducibility of Automatic White Matter Hyperintensities Quantification

Frontiers in neuroscience, 2019-07, Vol.13, p.679-679

2019

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Colorectal Tumor Segmentation of CT Scans Based on a Convolutional Neural Network With an Attention Mechanism

IEEE access, 2020, Vol.8, p.64131-64138

2020

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Preoperative prediction of perineural invasion with multi-modality radiomics in rectal cancer

Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs

Upconversion nanoparticle-based fluorescence resonance energy transfer sensing platform for the detection of cathepsin B activity in vitro and in vivo

Distortion correction of single-shot EPI enabled by deep-learning

A PET/CT nomogram incorporating SUVmax and CT radiomics for preoperative nodal staging in non-small cell lung cancer

The Growing Problem of Radiologist Shortage: China’s Perspective

Conjugation of NaGdF4 upconverting nanoparticles on silica nanospheres as contrast agents for multi-modality imaging

Tumor microenvironment(TME) and single-source dual-energy CT(ssDECT) on assessment of inconformity between RECIST1.1 and pathological remission in neoadjuvant immunotherapy of NSCLC

Multiregional-Based Magnetic Resonance Imaging Radiomics Combined With Clinical Data Improves Efficacy in Predicting Lymph Node Metastasis of Rectal Cancer

Active Contours Driven by Multi-Feature Gaussian Distribution Fitting Energy with Application to Vessel Segmentation

Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imaging

Photothermal induced chemo-immunological synergistic therapy for anaplastic thyroid carcinoma treatment

A Novel Multimodal Radiomics Model for Preoperative Prediction of Lymphovascular Invasion in Rectal Cancer

Prognostic value of radiomics-based hyperdense middle cerebral artery sign for patients with acute ischemic stroke after thrombectomy strategy

Radiomics nomogram: A noninvasive tool for preoperative evaluation of the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules

Automatic Organ Segmentation for CT Scans Based on Super-Pixel and Convolutional Neural Networks

The role of epicardial adipose tissue dysfunction in cardiovascular diseases: an overview of pathophysiology, evaluation, and management

Energy Transfer Assisted Fast X‐ray Detection in Direct/Indirect Hybrid Perovskite Wafer

Non-invasive evaluation of NAFLD and the contribution of genes: an MRI-PDFF-based cross-sectional study

3D Compressed Convolutional Neural Network Differentiates Neuromyelitis Optical Spectrum Disorders From Multiple Sclerosis Using Automated White Matter Hyperintensities Segmentations

Comparison of virtual unenhanced CT images of the abdomen under different iodine flow rates

Editorial: Radiomics Advances Precision Medicine

Advanced Deep Learning Approach to Automatically Segment Malignant Tumors and Ablation Zone in the Liver With Contrast-Enhanced CT

Intra-Scanner and Inter-Scanner Reproducibility of Automatic White Matter Hyperintensities Quantification

Colorectal Tumor Segmentation of CT Scans Based on a Convolutional Neural Network With an Attention Mechanism

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