Yang, Lin

Deep learning in microscopy image analysis: a survey

Xing, F., Xie, Y., Su, H., Liu, F., & Yang, L. (2018) · IEEE Transactions on Neural Networks and Learning Systems

Cell Image Analysis TechniquesAdvanced Neural Network Applications

Cited by 460

Inducible depletion of satellite cells in adult, sedentary mice impairs muscle regenerative capacity without affecting sarcopenia

Fry, C. S., Lee, J. D., Mula, J., Kirby, T. J., Jackson, J. R., Liu, F., Yang, L., Mendias, C. L., Dupont-Versteegden, E. E., McCarthy, J. J., et al. (2015) · Nature Medicine

Muscle Physiology and DisordersNutrition and Health in Aging

Cited by 432

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network

Zhang, Z., Xie, Y., Xing, F., McGough, M., & Yang, L. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAI in cancer detection

Cited by 354

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

Zhang, Z., Chen, P., McGough, M., Xing, F., Wang, C., Bui, M., Xie, Y., Sapkota, M., Cui, L., Dhillon, J., et al. (2019) · Nature Machine Intelligence

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 311

Systemic AAV8-Mediated Gene Therapy Drives Whole-Body Correction of Myotubular Myopathy in Dogs

Mack, D. L., Poulard, K., Goddard, M. A., Latournerie, V., Snyder, J. M., Grange, R. W., Elverman, M. R., Denard, J., Veron, P., Buscara, L., et al. (2017) · Molecular Therapy

Virus-based gene therapy researchNeurogenetic and Muscular Disorders Research

Cited by 114

Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition

Zhang, Z., Romero, A., Muckley, M. J., Vincent, P., Yang, L., & Drozdzal, M. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced MRI Techniques and ApplicationsImage and Signal Denoising Methods

Cited by 106

High-throughput histopathological image analysis via robust cell segmentation and hashing

Zhang, X., Xing, F., Su, H., Yang, L., & Zhang, S. (2015) · Medical Image Analysis

AI in cancer detectionCell Image Analysis Techniques

Cited by 87

ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology

Foran, D. J., Yang, L., Chen, W., Hu, J., Goodell, L. A., Reiss, M., Wang, F., Kurc, T., Pan, T., Sharma, A., et al. (2011) · Journal of the American Medical Informatics Association

AI in cancer detectionImage Retrieval and Classification Techniques

Cited by 65

Real-time intraoperative diagnosis by deep neural network driven multiphoton virtual histology

You, S., Sun, Y., Yang, L., Park, J., Tu, H., Marjanovic, M., Sinha, S., & Boppart, S. A. (2019) · npj Precision Oncology

AI in cancer detectionSpectroscopy Techniques in Biomedical and Chemical Research

Cited by 46

Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis

Jiang, M., Zhang, S., Huang, J., Yang, L., & Metaxas, D. N. (2015) · Lecture Notes in Computer Science

Image Retrieval and Classification TechniquesAI in cancer detection

Cited by 27

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