David J. H. Shih

According to our database, David J. H. Shih authored at least 5 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

enLLASD: An Ensemble Deep Learning Framework to Automate Derivation of Lower Limb Alignments for Skeletal Dysplasia.

Peikai Chen, Xinlin Zhou, Haihua Cai, David J. H. Shih, Janus Wong, Yong Hu, Michael Kai-Tsun To

IEEE Trans. Instrum. Meas., 2025

Learning and teaching biological data science in the Bioconductor community.

Jenny Drnevich, Frederick J. Tan, Fabricio Almeida-Silva, Robert Castelo, Aedín C. Culhane, Sean R. Davis, Maria A. Doyle, Ludwig Geistlinger, Andrew R. Ghazi, Susan P. Holmes, Leo Lahti, Alexandru Mahmoud, Kozo Nishida, Marcel Ramos, Kevin C. Rue-Albrecht, David J. H. Shih, Laurent Gatto, Charlotte Soneson

PLoS Comput. Biol., 2025

2024

Developing deep learning-based strategies to predict the risk of hepatocellular carcinoma among patients with nonalcoholic fatty liver disease from electronic health records.

Zhao Li, Lan Lan, Yujia Zhou, Ruoxing Li, Kenneth D. Chavin, Hua Xu, Liang Li, David J. H. Shih, W. Jim Zheng

J. Biomed. Informatics, 2024

Learning and teaching biological data science in the Bioconductor community.

Jenny Drnevich, Frederick J. Tan, Fabricio Almeida-Silva, Robert Castelo, Aedín C. Culhane, Sean Davis, Maria A. Doyle, Susan P. Holmes, Leo Lahti, Alexandru Mahmoud, Kozo Nishida, Marcel Ramos, Kevin C. Rue-Albrecht, David J. H. Shih, Laurent Gatto, Charlotte Soneson

CoRR, 2024

2022

CNGPLD: case-control copy-number analysis using Gaussian process latent difference.

David J. H. Shih, Ruoxing Li, Peter Müller, W. Jim Zheng, Kim-Anh Do, Shiaw-Yih Lin, Scott L. Carter

Bioinform., 2022