Adaptive active-mask image segmentation for quantitative characterization of mitochondrial morphology. - Kuan-Chieh Jackie Chen; Yiyi Yu; Ruiqin Li; Hao-Chih Lee; Ge Yang 002; Jelena Kovacevic (ICIP, 2012)

Nanometer resolution tracking and modeling of bidirectional axonal cargo transport. - Minhua Qiu; Hao-Chih Lee; Ge Yang 002 (ISBI, 2012)

Cell penetrating peptide mediated quantum dot delivery and release in live mammalian cells. - Jianquan Xu; Yiyi Yu; Hao-Chih Lee; Qirui Fan; Jessica Winter; Ge Yang 002 (EMBC, 2014)

Computational removal ofbackground fluorescence for biological fluorescence microscopy. - Hao-Chih Lee; Ge Yang 002 (ISBI, 2014)

Integrating dimension reduction with mean-shift clustering for biological shape classification. - Hao-Chih Lee; Ge Yang 002 (ISBI, 2014)

An image-based computational method for characterizing whole-cell scale spatiotemporal dynamics of intracellular transport. - Hao-Chih Lee; Ge Yang 002 (ISBI, 2015)

Shape component analysis: structure-preserving dimension reduction on biological shape spaces. - Hao-Chih Lee; Tao Liao; Yongjie Jessica Zhang; Ge Yang 002 (Bioinform., 2016)

Automated cell type discovery and classification through knowledge transfer. - Hao-Chih Lee; Roman Kosoy; Christine E. Becker; Joel T. Dudley; Brian A. Kidd (Bioinform., 2017)

Cell-specific prediction and application of drug-induced gene expression . - Rachel Hodos; Ping Zhang 016; Hao-Chih Lee; Qiaonan Duan; Zichen Wang 002; Neil R. Clark; Avi Ma'ayan; Fei Wang 001; Brian A. Kidd; Jianying Hu; David A. Sontag; Joel Dudley (PSB, 2018)

Enhancing high-content imaging for studying microtubule networks at large-scale. - Hao-Chih Lee; Sarah T. Cherng; Riccardo Miotto; Joel T. Dudley (MLHC, 2019)

Scaling Structural Learning with NO-BEARS to Infer Causal Transcriptome Networks. - Hao-Chih Lee; Matteo Danieletto; Riccardo Miotto; Sarah T. Cherng; Joel T. Dudley (PSB, 2020)

Identification of therapeutic targets from genetic association studies using hierarchical component analysis. - Hao-Chih Lee; Osamu Ichikawa; Benjamin S. Glicksberg; Aparna A. Divaraniya; Christine E. Becker; Pankaj Agarwal; Joel T. Dudley (BioData Min., 2020)

Deep representation learning of electronic health records to unlock patient stratification at scale. - Isotta Landi; Benjamin S. Glicksberg; Hao-Chih Lee; Sarah T. Cherng; Giulia Landi; Matteo Danieletto; Joel T. Dudley; Cesare Furlanello; Riccardo Miotto (npj Digit. Medicine, 2020)

Automated measurements of leg length on radiographs by deep learning. - Zelong Liu; Arnold Yang; Steven Liu; Louisa Deyer; Timothy Deyer; Hao-Chih Lee; Yang Yang 110; Justine Lee; Zahi A. Fayad; Brett Hayden; Valentin Fauveau; Mingqian Huang; et al. (BIBE, 2022)