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extension of MlFlow logger
License: Apache License 2.0
mlflow-logger-ext's Introduction
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) |
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