深度學習於生醫應用
Deep Learning in Biomedical Applications
| 節 | 週四 |
|---|---|
3 10:10–11:00 | 深度學習於生醫應用 YR104 2 節連堂 |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
討論新穎的深度學習方法,於生物醫學資料的分析,如醫學影像、數位病理切片影像、基因定型數據等等
必須具備深度學習的程設計能力,或者同時選修"深度學習生醫資料分析"課程
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to Deep Learning |
| 第 2 週 | Deep Learning for Medical Image Applications (I) |
| 第 3 週 | Deep Learning for Medical Image Applications (II) |
| 第 4 週 | Transformers and ViT (I) |
| 第 5 週 | Transformers and ViT (II) |
| 第 6 週 | Drug Response Prediction |
| 第 7 週 | 清明連假 |
| 第 8 週 | Deep learning for digital pathology |
| 第 9 週 | Deep Learning for health data processing |
| 第 10 週 | Diffussion Model |
| 第 11 週 | Semi-supervised learning |
| 第 12 週 | Deep Learning for Gene Expression Data (I) (GCN) |
| 第 13 週 | Deep Learning for Gene Expression Data (II) (scFMs) |
| 第 14 週 | Deep Learning for large models |
| 第 15 週 | Final project presentation |
| 第 16 週 | Final project presentation |
| 第 17 週 | |
| 第 18 週 |
本課程使用自編教材,資料來源如下: Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence IF:17.73 Medical Image Analysis IF:8.88 IEEE Transactions on Medical Imaging IF:7.816 IEEE Journal of Biomedical and Health Informatics IF:4.217 Nature Machine Intelligence Conferences: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) International Conference on Computer Vision (ICCV) European Conference on Computer Vision (ECCV) International Conference on Learning Representations (ICLR) International Conference on Machine Learning (ICMR) Association for the Advancement of Artificial Intelligence (AAAI) Medical Image Computing and Computer-Assisted Intervention (MICCAI)