Name: Xiangde Luo
Type: User
Company: West China Hospital
Bio: A researcher focused on AI for Healthcare and maintained several medical datasets (WORD, SegRap2023, LNCTVSeg, RAOS) and codebases (SSL4MIS, WSL4MIS).
Location: Chengdu
Blog: https://luoxd1996.github.io
Xiangde Luo's Projects
Some practices about deep learning
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr
A PyTorch implementation of EfficientNet
The code of IEEE TMI paper Efficient Medical Image Segmentation Based on Knowledge Distillation
Function to de-identify the face of patients in head CTs
Fast Implementation of Generalised Geodesic Distance Transform for CPU (OpenMP) and GPU (CUDA)
FROST: Faster and more Robust One-shot Semi-supervised Training
Gene mutation and pathway activity prediction from H&E slides
geodesic distance transform of 2d/3d images
[In Progressing]HaN5K: A project to develop foundation models for structure delineation in head and neck radiotherapy based on more than 5K CT scans and 10K clinical volumetric organs.
计算图片之间的相似度
Image augmentation for machine learning experiments.
[In Progressing] A strong baseline for interactive medical image segmentation, refinement, and annotation.
Interactive Image Segmentation with Latent Diversity
Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
Deep learning for lymph node clinical target volume delineation in nasopharyngeal carcinoma radiotherapy.
Automated lung segmentation in CT
Home page of Xiangde.
Web app for exploring patterns and correlations in the lymph node level involvements of head & neck cancer patients.
Memory Aware Synapses method implementation code
An example of draggable plot for matplotlib
An open source multi-modality radiation treatment planning sytem
Matrix-theory-homework
MedicalZooPytorch: A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
MICCAI 2020 Open Source Papers
[MedIA2021]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning