According to our database1, Genggeng Qin authored at least 14 papers between 2017 and 2022.
Legend:Book In proceedings Article PhD thesis Other
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
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
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
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017