A Multi-Stages Chromosome Segmentation and Mixed Classification Method for Chromosome Automatic Karyotyping. - Chengchuang Lin; Gansen Zhao; Aihua Yin; Bichao Ding; Li Guo 019; Hanbiao Chen (WISA, 2020)

Chromosome Cluster Identification Framework Based on Geometric Features and Machine Learning Algorithms. - Chengchuang Lin; Aihua Yin; Qinglan Wu; Hanbiao Chen; Li Guo 019; Gansen Zhao; Xiaomao Fan; Haoyu Luo; Hua Tang (BIBM, 2020)

Identification of Incorrect Karyotypes Using Deep Learning. - Jing Peng; Chengchuang Lin; Gansen Zhao; Aihua Yin; Hanbiao Chen; Li Guo 019; Shuangyin Li (ICANN (1), 2021)

A novel chromosome instance segmentation method based on geometry and deep learning. - Kaixin Huang; Chengchuang Lin; Runhua Huang; Gansen Zhao; Aihua Yin; Hanbiao Chen; Li Guo 019; Chun Shan; Ruihua Nie; Shuangyin Li (IJCNN, 2021)

A novel chromosome cluster types identification method using ResNeXt WSL model. - Chengchuang Lin; Gansen Zhao; Aihua Yin; Zhirong Yang; Li Guo 019; Hanbiao Chen; Lei Zhao; Shuangyin Li; Haoyu Luo; Zhaohui Ma (Medical Image Anal., 2021)

ChromosomeNet: A massive dataset enabling benchmarking and building basedlines of clinical chromosome classification. - Chengchuang Lin; Hanbiao Chen; Jiesheng Huang; Jing Peng; Li Guo 019; Zhirong Yang; Jiahua Du; Shuangyin Li; Aihua Yin; Gansen Zhao (Comput. Biol. Chem., 2022)

A Clinical Dataset and Various Baselines for Chromosome Instance Segmentation. - Runhua Huang; Chengchuang Lin; Aihua Yin; Hanbiao Chen; Li Guo 019; Gansen Zhao; Xiaomao Fan; Shuangyin Li; Jinji Yang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

CIR-Net: Automatic Classification of Human Chromosome Based on Inception-ResNet Architecture. - Chengchuang Lin; Gansen Zhao; Zhirong Yang; Aihua Yin; Jianxin Wang 001; Li Guo 019; Hanbiao Chen; Zhaohui Ma; Lei Zhao; Haoyu Luo; Tianxing Wang; Bichao Ding; et al. (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)