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2020 – today
- 2022
[c10]Zelong Liu, Arnold Yang, Steven Liu, Louisa Deyer, Timothy Deyer, Hao-Chih Lee, Yang Yang, Justine Lee, Zahi A. Fayad, Brett Hayden, Valentin Fauveau, Mingqian Huang, XueYan Mei:
Automated measurements of leg length on radiographs by deep learning. BIBE 2022: 17-22- 2020
- [j4]Hao-Chih Lee
, Osamu Ichikawa, Benjamin S. Glicksberg, Aparna A. Divaraniya, Christine E. Becker, Pankaj Agarwal, Joel T. Dudley:
Identification of therapeutic targets from genetic association studies using hierarchical component analysis. BioData Min. 13(1): 6 (2020) - [j3]Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto:
Deep representation learning of electronic health records to unlock patient stratification at scale. npj Digit. Medicine 3 (2020) - [c9]Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley:
Scaling Structural Learning with NO-BEARS to Infer Causal Transcriptome Networks. PSB 2020: 391-402 - [i3]Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto:
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale. CoRR abs/2003.06516 (2020)
2010 – 2019
- 2019
- [c8]Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley:
Enhancing high-content imaging for studying microtubule networks at large-scale. MLHC 2019: 592-613 - [i2]Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley:
Enhancing high-content imaging for studying microtubule networks at large-scale. CoRR abs/1910.00662 (2019) - [i1]Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley:
Scaling structural learning with NO-BEARS to infer causal transcriptome networks. CoRR abs/1911.00081 (2019) - 2018
- [c7]Rachel Hodos, Ping Zhang, Hao-Chih Lee, Qiaonan Duan, Zichen Wang, Neil R. Clark, Avi Ma'ayan, Fei Wang, Brian A. Kidd, Jianying Hu, David A. Sontag, Joel Dudley:
Cell-specific prediction and application of drug-induced gene expression . PSB 2018: 32-43 - 2017
- [j2]Hao-Chih Lee, Roman Kosoy, Christine E. Becker, Joel T. Dudley, Brian A. Kidd:
Automated cell type discovery and classification through knowledge transfer. Bioinform. 33(11): 1689-1695 (2017) - 2016
- [j1]Hao-Chih Lee, Tao Liao, Yongjie Jessica Zhang, Ge Yang:
Shape component analysis: structure-preserving dimension reduction on biological shape spaces. Bioinform. 32(5): 755-763 (2016) - 2015
- [c6]Hao-Chih Lee, Ge Yang:
An image-based computational method for characterizing whole-cell scale spatiotemporal dynamics of intracellular transport. ISBI 2015: 699-702 - 2014
- [c5]Jianquan Xu, Yiyi Yu, Hao-Chih Lee, Qirui Fan, Jessica Winter, Ge Yang:
Cell penetrating peptide mediated quantum dot delivery and release in live mammalian cells. EMBC 2014: 4260-4263 - [c4]Hao-Chih Lee, Ge Yang:
Computational removal ofbackground fluorescence for biological fluorescence microscopy. ISBI 2014: 205-208 - [c3]Hao-Chih Lee, Ge Yang:
Integrating dimension reduction with mean-shift clustering for biological shape classification. ISBI 2014: 254-257 - 2012
- [c2]Kuan-Chieh Jackie Chen, Yiyi Yu, Ruiqin Li, Hao-Chih Lee, Ge Yang, Jelena Kovacevic:
Adaptive active-mask image segmentation for quantitative characterization of mitochondrial morphology. ICIP 2012: 2033-2036 - [c1]Minhua Qiu, Hao-Chih Lee, Ge Yang:
Nanometer resolution tracking and modeling of bidirectional axonal cargo transport. ISBI 2012: 992-995
Coauthor Index
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