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Computational and Structural Biotechnology Journal|June 6, 2022
A novel integrative computational framework for breast cancer radiogenomic biomarker discoveryQian Liu, Pingzhao HuCurrent Opinion in Chemical Biology|January 9, 2022
Extendable and explainable deep learning for pan-cancer radiogenomics researchQian Liu, Pingzhao HuBiomarker Research|January 24, 2023
Radiogenomic association of deep MR imaging features with genomic profiles and clinical characteristics in breast cancerQian Liu, Pingzhao HuCancers|April 10, 2019
Association Analysis of Deep Genomic Features Extracted by Denoising Autoencoders in Breast CancerQian Liu, Pingzhao HuScientific Reports|June 18, 2024
NNICE: a deep quantile neural network algorithm for expression deconvolutionYong Won Jin, Pingzhao Hu, Qian LiuComputer Methods and Programs in Biomedicine|May 31, 2022
YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammogramsYongye Su, Qian Liu, Wentao Xie, et al.Frontiers in Genetics|February 4, 2022
Computational Prediction of the Pathogenic Status of Cancer-Specific Somatic VariantsNikta Feizi, Qian Liu, Leigh Murphy, et al.Journal of Biomedical Informatics|November 28, 2021
Bayesian tensor factorization-drive breast cancer subtyping by integrating multi-omics dataQian Liu, Bowen Cheng, Yongwon Jin, et al.Cells|September 5, 2019
Automated Counting of Cancer Cells by Ensembling Deep FeaturesQian Liu, Anna Junker, Kazuhiro Murakami, et al.Plos Computational Biology|June 27, 2024
ST-CellSeg: Cell segmentation for imaging-based spatial transcriptomics using multi-scale manifold learningYoucheng Li, Leann Lac, Qian Liu, et al.Pageof 701