Genggeng Qin

According to our database, Genggeng Qin authored at least 16 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Bone suppression of lateral chest x-rays with imperfect and limited dual-energy subtraction images.

Yunbi Liu, Fengxia Zeng, Mengwei Ma, Bowen Zheng, Zhaoqiang Yun, Genggeng Qin, Wei Yang, Qianjin Feng

Comput. Medical Imaging Graph., April, 2023

2022

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

Le Ma, Hui Liu, Xiaojia Lin, Yuxing Cai, Ling Zhang, Weiguo Chen, Genggeng Qin

Biomed. Signal Process. Control., 2022

2021

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

Gongfa Jiang, Jun Wei, Yuesheng Xu, Zilong He, Hui Zeng, Jiefang Wu, Genggeng Qin, Weiguo Chen, Yao Lu

IEEE Trans. Medical Imaging, 2021

Multi-criterion decision making-based multi-channel hierarchical fusion of digital breast tomosynthesis and digital mammography for breast mass discrimination.

Linjing Wang, Qiang He, Xuetao Wang, Ting Song, Xin Li, Shuxu Zhang, Genggeng Qin, Weiguo Chen, Linghong Zhou, Xin Zhen

Knowl. Based Syst., 2021

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

Yuhua Xi, Liming Zhong, Weijie Xie, Genggeng Qin, Yunbi Liu, Qianjin Feng, Wei Yang

IEEE Access, 2021

Improving Tuberculosis Recognition on Bone-Suppressed Chest X-Rays Guided by Task-Specific Features.

Yunbi Liu, Genggeng Qin, Yun Liu, Mingxia Liu, Wei Yang

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Architectural distortion detection in digital breast tomosynthesis with adaptive receptive field and adaptive convolution kernel shape.

Yue Li, Zilong He, Xiangyuan Ma, Weimin Xu, Chanjuan Wen, Hui Zeng, Weixiong Zeng, Zeqi Wu, Genggeng Qin, Weiguo Chen, Yao Lu

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020

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

Zhiguo Zhou, Shulong Li, Genggeng Qin, Michael Folkert, Steve B. Jiang, Jing Wang

IEEE J. Biomed. Health Informatics, 2020

Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN.

Yunbi Liu, Mingxia Liu, Yuhua Xi, Genggeng Qin, Dinggang Shen, Wei Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

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

Xiaoman Duan, Genggeng Qin, Qingqing Ling, Sina Wang, Zeyuan Xu, Hui Zeng, Bin Li, Weiguo Chen, Linghong Zhou, Yuan Xu

IEEE Access, 2019

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

Yingyin Chen, Xiaofang Gou, Xiuxia Feng, Yunbi Liu, Genggeng Qin, Qianjin Feng, Wei Yang, Wufan Chen

IEEE Access, 2019

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

Zhiguo Zhou, Genggeng Qin, Pingkun Yan, Hongxia Hao, Steve B. Jiang, Jing Wang

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018

Automatic multi-objective based feature selection for classification.

Zhiguo Zhou, Shulong Li, Genggeng Qin, Michael Folkert, Steve B. Jiang, Jing Wang

CoRR, 2018

A fully automatic microcalcification detection approach based on deep convolution neural network.

Guanxiong Cai, Yanhui Guo, Yaqin Zhang, Genggeng Qin, Yuanpin Zhou, Yao Lu

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017

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

Wei Yang, Yingyin Chen, Yunbi Liu, Liming Zhong, Genggeng Qin, Zhentai Lu, Qianjin Feng, Wufan Chen

Medical Image Anal., 2017

A simple respiratory motion analysis method for chest tomosynthesis.

Hua Zhang, Xi Tao, Genggeng Qin, Jianhua Ma, Qianjin Feng, Wufan Chen

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017