Genggeng Qin

Orcid: 0000-0002-7563-3924

According to our database1, Genggeng Qin authored at least 16 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Bone suppression of lateral chest x-rays with imperfect and limited dual-energy subtraction images.
Comput. Medical Imaging Graph., April, 2023

Lesion-specific exposure parameters for breast cancer diagnosis on digital breast tomosynthesis and full-field digital mammography.
Biomed. Signal Process. Control., 2022

Synthesis of Mammogram From Digital Breast Tomosynthesis Using Deep Convolutional Neural Network With Gradient Guided cGANs.
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.
Knowl. Based Syst., 2021

View Identification Assisted Fully Convolutional Network for Lung Field Segmentation of Frontal and Lateral Chest Radiographs.
IEEE Access, 2021

Improving Tuberculosis Recognition on Bone-Suppressed Chest X-Rays Guided by Task-Specific Features.
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.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification.
IEEE J. Biomed. Health Informatics, 2020

Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Matching Corresponding Regions of Interest on Cranio-Caudal and Medio-Lateral Oblique View Mammograms.
IEEE Access, 2019

Bone Suppression of Chest Radiographs With Cascaded Convolutional Networks in Wavelet Domain.
IEEE Access, 2019

A shell and kernel descriptor based joint deep learning model for predicting breast lesion malignancy.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Automatic multi-objective based feature selection for classification.
CoRR, 2018

A fully automatic microcalcification detection approach based on deep convolution neural network.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain.
Medical Image Anal., 2017

A simple respiratory motion analysis method for chest tomosynthesis.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017