Hao-Chih Lee

19 papers B 1C 1Misc 2Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography.
CoRR
Hao-Chih Lee, Zelong Liu, Hamza Ahmed, Spencer Kim, Sean Huver, Vishwesh Nath, Zahi A. Fayad, Timothy Deyer, Xueyan Mei
2025 — conf
Unified Supervision for Vision-Language Modeling in 3D Computed Tomography.
ICCVW
Hao-Chih Lee, Zelong Liu, Hamza Ahmed, Spencer Kim, Sean Huver, Vishwesh Nath, Zahi A. Fayad, Timothy Deyer, Xueyan Mei
2022 C conf
Automated measurements of leg length on radiographs by deep learning.
BIBE
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
2020 J jnl
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale.
CoRR
Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto
2020 J jnl
Deep representation learning of electronic health records to unlock patient stratification at scale.
npj Digit. Medicine
Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto
2020 J jnl
Identification of therapeutic targets from genetic association studies using hierarchical component analysis.
BioData Min.
Hao-Chih Lee, Osamu Ichikawa, Benjamin S. Glicksberg, Aparna A. Divaraniya, Christine E. Becker, Pankaj Agarwal, Joel T. Dudley
2020 Misc conf
Scaling Structural Learning with NO-BEARS to Infer Causal Transcriptome Networks.
PSB
Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley
2019 — conf
Enhancing high-content imaging for studying microtubule networks at large-scale.
MLHC
Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley
2019 J jnl
Enhancing high-content imaging for studying microtubule networks at large-scale.
CoRR
Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley
2019 J jnl
Scaling structural learning with NO-BEARS to infer causal transcriptome networks.
CoRR
Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley
2018 Misc conf
Cell-specific prediction and application of drug-induced gene expression .
PSB
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
2017 J jnl
Automated cell type discovery and classification through knowledge transfer.
Bioinform.
Hao-Chih Lee, Roman Kosoy, Christine E. Becker, Joel T. Dudley, Brian A. Kidd
2016 J jnl
Shape component analysis: structure-preserving dimension reduction on biological shape spaces.
Bioinform.
Hao-Chih Lee, Tao Liao, Yongjie Jessica Zhang, Ge Yang
2015 — conf
An image-based computational method for characterizing whole-cell scale spatiotemporal dynamics of intracellular transport.
ISBI
Hao-Chih Lee, Ge Yang
2014 — conf
Cell penetrating peptide mediated quantum dot delivery and release in live mammalian cells.
EMBC
Jianquan Xu, Yiyi Yu, Hao-Chih Lee, Qirui Fan, Jessica Winter, Ge Yang
2014 — conf
Computational removal ofbackground fluorescence for biological fluorescence microscopy.
ISBI
Hao-Chih Lee, Ge Yang
2014 — conf
Integrating dimension reduction with mean-shift clustering for biological shape classification.
ISBI
Hao-Chih Lee, Ge Yang
2012 B conf
Adaptive active-mask image segmentation for quantitative characterization of mitochondrial morphology.
ICIP
Kuan-Chieh Jackie Chen, Yiyi Yu, Ruiqin Li, Hao-Chih Lee, Ge Yang, Jelena Kovacevic
2012 — conf
Nanometer resolution tracking and modeling of bidirectional axonal cargo transport.
ISBI
Minhua Qiu, Hao-Chih Lee, Ge Yang