Yao, Jianhua

Deep convolutional neural networks for computer-aided detection: cnn architectures, dataset characteristics and transfer learning

Shin, H.-C., Roth, H. R., Gao, M., Lu, L., Xu, Z., Nogues, I., Yao, J., Mollura, D., & Summers, R. M. (2016) · IEEE Transactions on Medical Imaging

AI in cancer detectionAdvanced Neural Network Applications

Cited by 5,759

scBERT as a Large-scale Pretrained Deep Language Model for Cell Type Annotation of Single-cell RNA-seq Data

Yang, F., Wang, W., Wang, F., Fang, Y., Tang, D., Huang, J., Lu, H., & Yao, J. (2021) · Nature Machine Intelligence

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 617

Improving Computer-Aided Detection UsingConvolutional Neural Networks and Random View Aggregation

Roth, H. R., Lu, L., Liu, J., Yao, J., Seff, A., Cherry, K., Kim, L., & Summers, R. M. (2016) · IEEE Transactions on Medical Imaging

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 608

Danazol Treatment for Telomere Diseases

Townsley, D. M., Dumitriu, B., Liu, D., Biancotto, A., Weinstein, B., Chen, C., Hardy, N., Mihalek, A. D., Lingala, S., Kim, Y. J., et al. (2016) · New England Journal of Medicine

Telomeres, Telomerase, and SenescenceBlood disorders and treatments

Cited by 415

Single-cell spatial transcriptome reveals cell-type organization in the macaque cortex

Chen, A., Sun, Y., Lei, Y., Li, C., Liao, S., Meng, J., Bai, Y., Liu, Z., Liang, Z., Zhu, Z., et al. (2023) · Cell

Single-cell and spatial transcriptomicsNeuroscience and Neuropharmacology Research

Cited by 232

Anatomy-specific classification of medical images using deep convolutional nets

Roth, H. R., Lee, C. T., Shin, H.-C., Seff, A., Kim, L., Yao, J., Lu, L., & Summers, R. M. (2015) · 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)

Medical Imaging and AnalysisRadiomics and Machine Learning in Medical Imaging

Cited by 188

Interleaved text/image Deep Mining on a large-scale radiology database

Shin, H.-C., Lu, L., Kim, L., Seff, A., Yao, J., & Summers, R. M. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 94

DeepAIR: a deep-learning framework for effective integration of sequence and 3D structure to enable adaptive immune receptor analysis

Zhao, Y., He, B., Li, C., Xu, Z., Su, X., Rossjohn, J., Song, J., & Yao, J. (2022) · Science Advances

vaccines and immunoinformatics approachesArtificial Immune Systems Applications

Cited by 53