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Jing's Projects

arl-eegmodels icon arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

code_for_uist icon code_for_uist

the code from the UIST paper: Taming fNIRS-based BCI Input for Better Calibration and Broader Use(doi: https://doi.org/10.1145/3472749.3474743)

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

deepeeg icon deepeeg

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

dl-study icon dl-study

codes from the lesson: https://courses.d2l.ai/zh-v2/

metabci icon metabci

MetaBCI: China’s first open-source platform for non-invasive brain computer interface. The project of MetaBCI is led by Prof. Minpeng Xu from Tianjin University, China.

monai icon monai

AI Toolkit for Healthcare Imaging

rl-study icon rl-study

codes of reinforcement learning(RL) study

segloss icon segloss

A collection of loss functions for medical image segmentation

sgl-retinal-vessel-segmentation icon sgl-retinal-vessel-segmentation

[MICCAI 2021] Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels: New SOTA on both DRIVE and CHASE_DB1.

skeleton-tracing icon skeleton-tracing

A new algorithm for retrieving topological skeleton as a set of polylines from binary images

sota-medseg icon sota-medseg

SOTA medical image segmentation methods based on various challenges

swin-transformer icon swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

transunet icon transunet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

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