| Year | Conf/Journal | Title | Paper |
|---|---|---|---|
| 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 |
| Year | Conference / Location | Topic |
|---|---|---|
| 2021 | Lecture Invivation - NTU-DBME5028 | Introduction to Transfer Learning and Self-Supervised Learning (slide) |
| 2021 | Lecture Invitation - NTU-DBME5028 | Introduction to Machine Learning (slide) |
| 2021 | TSPM meeting | AI-powered Medical Imaging Analysis for Precision Medicine (slide) |
| 2020 | InfoSec | AI 賦能精準醫療影像分析 |
| 2020 | Lecture Invitation - Quanta | Computer Vision - Theory and Hands-on |
| 2020 | IRB | Medical Imaging AI: Progress and Challenges |
| 2019 | Taiwan Clouding Computing Annual Meeting | 馭繁為簡 - 在 AI 雲上實現高效能弱監督式數位病理影像分析 (slide) |
| 2019 | 台灣人工智慧學校南區醫療班 | Pratical Aspect of Medical Imaging AI for Hospitals (slide) |
| 2017 | 中央研究院 OpenHouse | AI & Machine Learning In Our Daily Life (slide) |
| 2017 | 台灣人工智慧年會 | Experinece of AI from two cross-domainers (slide) |
| 2017 | 台灣人工智慧年會工作坊 | R - Exploratory Data Analysis and Text Mining (slide) |
| 2017 | 台灣人工智慧學校 - 經理人班實作課程 | Deep Learning Hands-on (slide) |
| 2017 | 台灣人工智慧學校 - 開幕短講 | Machine Learning in Data Insight Lab (slide) |