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Wei-Hsiang Yu (Sean)

Publications

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

Talks / Speeches

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 **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)

Wei-Hsiang's GitHub stats Top Languages

SeanYu's Projects

common_tools icon common_tools

Python tools that most commonly used when I engaging any projects. These tools includes visualization, result summary, and tensorflow model handlers.

drl_udacity icon drl_udacity

Implementation / Exercise / Projects of DRL courses

git-aware-prompt icon git-aware-prompt

Display current Git branch name in your terminal prompt when in a Git working directory.

mountos icon mountos

scripts for mounting object storage.

patch-gcn icon patch-gcn

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

toss-gpu icon toss-gpu

Pick available gpus without directly assign.

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