Code Monkey home page Code Monkey logo

keras's Introduction

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 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)

Wei-Hsiang's GitHub stats Top Languages

keras's People

Contributors

abhaikollara avatar ahundt avatar carlthome avatar danielhiversen avatar edersantana avatar farizrahman4u avatar fchollet avatar gvtulder avatar gw0 avatar jeammimi avatar jfsantos avatar jihobak avatar kemaswill avatar lukedeo avatar matsuyamax avatar maxpumperla avatar myutwo150 avatar nzw0301 avatar olegsinavski avatar ozabluda avatar phreeza avatar staticskies avatar taehoonlee avatar tboquet avatar tdhd avatar the-moliver avatar tleeuwenburg avatar tristandeleu avatar wxs avatar yaringal avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.