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Yongluo Jiang, M.D.


Atypical doctor | Happy to code

  • 👨 Learning radiomics and deep learning methods, especially for PET/CT and PET/MR
  • 🏢 Currently working as nuclear medicine physician at Sun Yat-sen University Cancer Center
  • ❓Interested in predicting diagnosis and prognosis beyond human capabilities by computational approach, especially for lung cancer and nasopharyngeal carcinoma
  • 💻 All work can be robotized when possible.
  • 🔍 Learn more about my research and my recent updates at ResearchGate

Yongluo Jiang's Projects

ai-edu icon ai-edu

AI education materials for Chinese students, teachers and IT professionals.

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

auton-survival icon auton-survival

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

baby-llama2-chinese icon baby-llama2-chinese

用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库;24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.

bm-gbm icon bm-gbm

Some accessible radiomics datas were provided in this link.

dicom-csv icon dicom-csv

Utils for gathering, aggregation and handling metadata from DICOM files

dl-mri icon dl-mri

Deep Learning MRI image analysis

gtvnsclc icon gtvnsclc

Radiomics to predict brain metastases in NSCLC

hecktor2022 icon hecktor2022

The script of using radiomics and deep learning for outcome prediction in head and neck cancer patients, which was used for HECKTOR 2022 challenge.

kinfitr icon kinfitr

kinfitr: PET Kinetic Modelling Using R

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