Breast tumor detection in digital mammography based on extreme learning machine. - Zhiqiong Wang; Ge Yu 001; Yan Kang; Yingjie Zhao; Qixun Qu (Neurocomputing, 2014)

Breast tumor detection in double views mammography based on extreme learning machine. - Zhiqiong Wang; Qixun Qu; Ge Yu 001; Yan Kang (Neural Comput. Appl., 2016)

3D Multi-Scale Convolutional Networks for Glioma Grading Using MR Images. - Chenjie Ge; Qixun Qu; Irene Yu-Hua Gu; Asgeir Store Jakola (ICIP, 2018)

Multiscale Deep Convolutional Networks for Characterization and Detection of Alzheimer's Disease Using MR images. - Chenjie Ge; Qixun Qu; Irene Yu-Hua Gu; Asgeir Store Jakola (ICIP, 2019)

Multi-stream multi-scale deep convolutional networks for Alzheimer's disease detection using MR images. - Chenjie Ge; Qixun Qu; Irene Yu-Hua Gu; Asgeir Store Jakola (Neurocomputing, 2019)

Deep learning for digitizing highly noisy paper-based ECG records. - Yao Li; Qixun Qu; Meng Wang; Liheng Yu; Jun Wang; Linghao Shen; Kunlun He (Comput. Biol. Medicine, 2020)

BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series. - Andrea Nascetti; Ritu Yadav; Kirill Brodt; Qixun Qu; Hongwei Fan; Yuri Shendryk; Isha Shah; Christine Chung 002 (NeurIPS, 2023)

Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review. - Chuang Zhu; Shengjie Liu; Feng Xu; Zekuan Yu; Arpit Aggarwal; Germán Corredor; Anant Madabhushi; Qixun Qu; Hongwei Fan; Fangda Li; Yueheng Li; Xianchao Guan; et al. (CoRR, 2023)