G. Qin

发表

OXPHOS-dependent metabolic reprogramming prompts metastatic potential of breast cancer cells under osteogenic differentiation

Xiao Lu, Yangling Hu, Weimin Xu, 2020, British Journal of Cancer.

Association of the Differences in Average Glandular Dose with Breast Cancer Risk

Zilong He, G. Qin, Weiguo Chen, 2020 .

A shell and kernel descriptor based joint deep learning model for predicting breast lesion malignancy

Steve B. Jiang, Pingkun Yan, Hongxia Hao, 2019, Medical Imaging.

Improved detection of solitary pulmonary nodules on radiographs compared with deep bone suppression imaging.

Wei Yang, Weimin Xu, G. Qin, 2021, Quantitative imaging in medicine and surgery.

The mammography and MRI manifestations of adenomyoepithelioma of the breast.

G. Qin, L. Yang, L. Zhang, 2016, Clinical radiology.

Lesion-specific exposure parameters for breast cancer diagnosis on digital breast tomosynthesis and full-field digital mammography

Hui Liu, G. Qin, Weiguo Chen, 2022, Biomed. Signal Process. Control..

Research Progress on the Animal Models of Drug-Induced Liver Injury: Current Status and Further Perspectives

G. Qin, Mingzhu Cao, Zhi Liu, 2019, BioMed research international.

Predicting futile recanalization, malignant cerebral edema, and cerebral herniation using intelligible ensemble machine learning following mechanical thrombectomy for acute ischemic stroke

Zilong He, G. Qin, Weiguo Chen, 2022, Frontiers in Neurology.

Predicting local persistence/recurrence after radiation therapy for head and neck cancer from PET/CT using a multi-objective, multi-classifier radiomics model

Zhiguo Zhou, L. Wang, D. Sher, 2022, Frontiers in Oncology.

Preoperative radiomics model using gadobenate dimeglumine-enhanced magnetic resonance imaging for predicting β-catenin mutation in patients with hepatocellular carcinoma: A retrospective study

G. Qin, Weiguo Chen, Hui Zeng, 2022, Frontiers in Oncology.

Magnesium Levels in Drinking Water and Coronary Heart Disease Mortality Risk: A Meta-Analysis

Jiyan Chen, N. Tan, Yong Liu, 2016, Nutrients.

A System Pharmacology Model for Decoding the Synergistic Mechanisms of Compound Kushen Injection in Treating Breast Cancer

X. Qin, G. Qin, Weiguo Chen, 2021, Frontiers in Pharmacology.

A deep learning–machine learning fusion approach for the classification of benign, malignant, and intermediate bone tumors

Zilong He, G. Qin, Weiguo Chen, 2021, European Radiology.

Extraskeletal Myxoid Chondrosarcoma: A Comparative Study of Imaging and Pathology

G. Qin, Ruoning Wang, Ling Zhang, 2018, BioMed research international.

Pure and Mixed Tubular Carcinoma of the Breast: Mammographic Features, Clinicopathological Characteristics and Prognostic Analysis

Weimin Xu, Zilong He, G. Qin, 2021, Technology in cancer research & treatment.

Matching Corresponding Regions of Interest on Cranio-Caudal and Medio-Lateral Oblique View Mammograms

Bin Li, Linghong Zhou, Hui Zeng, 2019, IEEE Access.

Monte Carlo simulation fused with target distribution modeling via deep reinforcement learning for automatic high-efficiency photon distribution estimation

Linghong Zhou, Xiaoman Duan, Genggeng Qin, 2021 .

Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms

Weimin Xu, G. Qin, Weiguo Chen, 2021, European Radiology.

Using Machine Learning to Unravel the Value of Radiographic Features for the Classification of Bone Tumors

Zilong He, G. Qin, Weiguo Chen, 2021, BioMed research international.

Can a Computer-Aided Mass Diagnosis Model Based on Perceptive Features Learned From Quantitative Mammography Radiology Reports Improve Junior Radiologists’ Diagnosis Performance? An Observer Study

Yao Lu, Xiangyuan Ma, Weimin Xu, 2021, Frontiers in Oncology.

A computer-aided mass diagnosis system based on perceptive features learned from quantitative mammography radiology report: An observer-based study

Weiguo Chen, Jun Wei, Xiangyuan Ma, 2021 .

Deep learning of mammary gland distribution for architectural distortion detection in digital breast tomosynthesis

Yao Lu, Yanhui Guo, Xiangyuan Ma, 2020, Physics in medicine and biology.

The diagnostic value of chest X-ray in coronavirus disease 2019: A comparative study of X-ray and CT

G. Qin, Weiguo Chen, Hui Zeng, 2021, Science progress.

Synthesis of Mammogram From Digital Breast Tomosynthesis Using Deep Convolutional Neural Network With Gradient Guided cGANs

Weiguo Chen, Jun Wei, Yao Lu, 2021, IEEE Transactions on Medical Imaging.

Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification

Linghong Zhou, Weiguo Chen, Genggeng Qin, 2019, European Radiology.

Head and neck osteosarcoma: CT and MR imaging features.

Weimin Xu, G. Qin, Weiguo Chen, 2020, Dento maxillo facial radiology.

Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain

Qianjin Feng, Wufan Chen, Genggeng Qin, 2017, Medical Image Anal..

Bone-Edge-Guided Generative Adversarial Network for Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs

D. Shen, Mingxia Liu, G. Qin, 2020 .

An Interpretable Model-Based Prediction of Severity and Crucial Factors in Patients with COVID-19

G. Qin, Weiguo Chen, F. Zeng, 2021, BioMed research international.

View Identification Assisted Fully Convolutional Network for Lung Field Segmentation of Frontal and Lateral Chest Radiographs

Qianjin Feng, Genggeng Qin, Wei Yang, 2021, IEEE Access.

Sin-quadratic model for chest tomosynthesis respiratory signal analysis and its application in four dimensional chest tomosynthesis reconstruction.

Qianjin Feng, Wufan Chen, Jianhua Ma, 2018, Medical engineering & physics.

Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification

Steve B. Jiang, Jing Wang, Genggeng Qin, 2018, IEEE Journal of Biomedical and Health Informatics.

CT and MRI features of calvarium and skull base osteosarcoma (CSBO).

G. Qin, Weiguo Chen, Zhendong Luo, 2019, The British journal of radiology.

Bone Suppression of Chest Radiographs With Cascaded Convolutional Networks in Wavelet Domain

Qianjin Feng, Wufan Chen, Genggeng Qin, 2019, IEEE Access.

Automatic multi-objective based feature selection for classification pdf

Jing Wang, Genggeng Qin, Zhiguo Zhou, 2018, ArXiv.

Patch Based Grid Artifact Suppressing in Digital Mammography

Yuan Xu, Linghong Zhou, Xiaoman Duan, 2018, BioMed research international.

Deep learning based de-overlapping correction of projections from a flat-panel micro array X-ray source: Simulation study.

Linghong Zhou, G. Qin, M. Qi, 2023, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Additive value of exposure parameters for breast cancer diagnosis in digital mammography

G. Qin, Weiguo Chen, Levy-Alcover Ma, 2020, European Radiology.

An integrated network based on 2D/3D feature correlations for benign-malignant tumor classification and uncertainty estimation in digital breast tomosynthesis

Zhiguo Zhou, G. Qin, Xi Chen, 2023, Physics in medicine and biology.

Clinical and imaging features of 112 patients with irregular and flat bone osteosarcoma.

Zilong He, G. Qin, Weiguo Chen, 2021, Quantitative imaging in medicine and surgery.

Multi-scale cascaded networks for synthesis of mammogram to decrease intensity distortion and increase model-based perceptual similarity.

Yao Lu, Zilong He, G. Qin, 2022, Medical physics.

Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain

Qianjin Feng, Wufan Chen, Zhentai Lu, 2017, Medical Image Anal..

Prediction of Local Persistence/Recurrence on PET/CT scans after Radiation Therapy Treatment of Head and Neck Cancer Using a Multi-objective Radiomics Model

D. Sher, G. Qin, Q. Zhang, 2018, International Journal of Radiation Oncology*Biology*Physics.

Time-Series MR Images Identifying Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using a Deep Learning Approach.

Weimin Xu, Zilong He, G. Qin, 2024, Journal of magnetic resonance imaging : JMRI.

Multi-path synergic fusion deep neural network framework for breast mass classification using digital breast tomosynthesis

Genggeng Qin, Qiang He, Linghong Zhou, 2020, Physics in medicine and biology.

A collection input based support tensor machine for lesion malignancy classification in digital breast tomosynthesis

Liyuan Chen, Jing Wang, Genggeng Qin, 2019, Physics in medicine and biology.

E74-like ETS transcription factor 5 facilitates cell proliferation through regulating the expression of adenomatous polyposis coli 2 in non-small cell lung cancer

G. Qin, Weiguo Chen, Zhaojing Jiang, 2023, International journal of molecular medicine.