Huang, Kun

AI in Medical Imaging Informatics: Current Challenges and Future Directions

Panayides, A. S., Amini, A., Filipovic, N. D., Sharma, A., Tsaftaris, S. A., Young, A., Foran, D., Do, N., Golemati, S., Kurc, T., et al. (2020) · IEEE Journal of Biomedical and Health Informatics

Artificial Intelligence in Healthcare and EducationMedical Image Segmentation Techniques

Cited by 713

MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification

Wang, T., Shao, W., Huang, Z., Tang, H., Zhang, J., Ding, Z., & Huang, K. (2021) · Nature Communications

Bioinformatics and Genomic NetworksGene expression and cancer classification

Cited by 671

SALMON: survival analysis learning with multi-omics neural networks on breast cancer

Huang, Z., Zhan, X., Xiang, S., Johnson, T. S., Helm, B., Yu, C. Y., Zhang, J., Salama, P., Rizkalla, M., Han, Z., et al. (2019) · Frontiers in Genetics

Gene expression and cancer classificationBreast Cancer Treatment Studies

Cited by 262

Preferential electrical coupling regulates neocortical lineage-dependent microcircuit assembly

Yu, Y.-C., He, S., Chen, S., Fu, Y., Brown, K. N., Yao, X.-H., Ma, J., Gao, K. P., Sosinsky, G. E., Huang, K., et al. (2012) · Nature

Neurogenesis and neuroplasticity mechanismsConnexins and lens biology

Cited by 219

Canonical and atypical E2Fs regulate the mammalian endocycle

Chen, H.-Z., Ouseph, M. M., Li, J., Pécot, T., Chokshi, V., Kent, L., Bae, S., Byrne, M., Duran, C., Comstock, G., et al. (2012) · Nature Cell Biology

Cancer-related Molecular PathwaysDevelopmental Biology and Gene Regulation

Cited by 161

Clonal production and organization of inhibitory interneurons in the neocortex

Brown, K. N., Chen, S., Han, Z., Lu, C.-H., Tan, X., Zhang, X.-J., Ding, L., Lopez-Cruz, A., Saur, D., Anderson, S. A., et al. (2011) · Science

Neurogenesis and neuroplasticity mechanismsDevelopmental Biology and Gene Regulation

Cited by 152

E2f8 mediates tumor suppression in postnatal liver development

Kent, L. N., Rakijas, J. B., Pandit, S. K., Westendorp, B., Chen, H.-Z., Huntington, J. T., Tang, X., Bae, S., Srivastava, A., Senapati, S., et al. (2016) · Journal of Clinical Investigation

Cancer-related Molecular PathwaysLiver physiology and pathology

Cited by 95

Distinct Lineage-Dependent Structural and Functional Organization of the Hippocampus

Xu, H.-T., Han, Z., Gao, P., He, S., Li, Z., Shi, W., Kodish, O., Shao, W., Brown, K. N., Huang, K., et al. (2014) · Cell

Neurogenesis and neuroplasticity mechanismsNeuroscience and Neuropharmacology Research

Cited by 80

Identification of topological features in renal tumor microenvironment associated with patient survival

Cheng, J., Mo, X., Wang, X., Parwani, A., Feng, Q., & Huang, K. (2018) · Bioinformatics

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 79

Enhancer variants reveal a conserved transcription factor network governed by PU.1 during osteoclast differentiation

Carey, H. A., Hildreth, B. E., Geisler, J. A., Nickel, M. C., Cabrera, J., Ghosh, S., Jiang, Y., Yan, J., Lee, J., Makam, S., et al. (2018) · Bone Research

Bone Metabolism and DiseasesGenomics and Chromatin Dynamics

Cited by 40

INTEGRATIVE ANALYSIS FOR LUNG ADENOCARCINOMA PREDICTS MORPHOLOGICAL FEATURES ASSOCIATED WITH GENETIC VARIATIONS

WANG, C., SU, H., YANG, L., & HUANG, K. (2017) · Biocomputing 2017

Radiomics and Machine Learning in Medical ImagingCancer Genomics and Diagnostics

Cited by 9