Le Hou
Google (United States)(US)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Cell Image Analysis Techniques, Advanced Neural Network Applications, Digital Imaging for Blood Diseases
Most-Cited Works
- → Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images(2018)1,017 cited
- → Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification(2016)870 cited
- → Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples(2016)225 cited
- → Towards conversational diagnostic artificial intelligence(2025)193 cited
- → Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images(2018)162 cited
- → Robust Histopathology Image Analysis: To Label or to Synthesize?(2019)131 cited
- → Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer(2020)115 cited
- → Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data(2019)104 cited
- → Towards Conversational Diagnostic AI(2024)100 cited
- → Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks(2016)95 cited