2022 |
America Journal of Pathology |
Deep Learning e Based Nuclear Morphometry Reveals an Independent Prognostic Factor in Mantle Cell Lymphoma |
paper |
2021 |
Cancers |
Machine Learning Based on Morphological Features Enables Classification of Primary Intestinal T-Cell Lymphomas |
paper |
2021 |
Modern Pathology |
Identification of nodal micrometastasis in colorectal cancer using deep learning on annotation-free whole-slide images |
paper |
2021 |
MICCAI |
Stain Mix-up: Unsupervised Domain Generalization for Histopathology Images |
paper |
2021 |
Nature Communications |
An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning |
paper |
2020 |
Ann Transl Med |
Predicting aggressive histopathological features in esophageal cancer with positron emission tomography using a deep convolutional neural network |
paper |
2020 |
Cancers |
Successful Identification of Nasopharyngeal Carcinoma in Nasopharyngeal Biopsies Using Deep Learning |
paper |
2019 |
Journal of Clinical Medicine |
Deep Convolutional Neural Network-Based Positron Emission Tomography Analysis Predicts Esophageal Cancer Outcome |
paper |
2019 |
The International Conference for High Performance Computing |
Training Deep Neural Networks Directly on Hundred-million-pixel Histopathology Images on a Large-scale GPU Cluster |
paper |
2019 |
IEEE Transactions on Medical Imaging |
A Multi-Organ Nucleus Segmentation Challenge |
paper |