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Zhe Chen's Projects

academic-portfolio icon academic-portfolio

A one-stop, clean and minimal mobile-friendly Jekyll theme for your academic homepage

aeropath icon aeropath

🫁 AeroPath: An airway segmentation benchmark dataset with challenging pathology

aic21-mtmc icon aic21-mtmc

🏆The 1st place solution of track3 (City-Scale Multi-Camera Vehicle Tracking) in the NVIDIA AI City Challenge at CVPR 2021 Workshop.

aimoneyhunter icon aimoneyhunter

ai副业赚钱大集合,教你如何利用ai做一些副业项目,赚取更多额外收益。

albumentations icon albumentations

fast image augmentation library and easy to use wrapper around other libraries

atm-22-related-work icon atm-22-related-work

[MICCAI 2022 Grand Challenge/MedIA 2023]: Airway Tree Modeling (ATM'22) Related Work Collections, also includes the state-of-the-art works on pulmonary airway segmentation and related works.

coinsclassification-1 icon coinsclassification-1

This project was created to detect and estimate the total value of the coins. With a few image of coins, we will agruementate small dataset and try to using items detection network to approach our goal.

darknet icon darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

dataset icon dataset

医学影像数据集列表 『An Index for Medical Imaging Datasets』

douyin_tiktok_download_api icon douyin_tiktok_download_api

🚀「Douyin_TikTok_Download_API」是一个开箱即用的高性能异步抖音|TikTok数据爬取工具,支持API调用,在线批量解析及下载。

fibro-cosanet icon fibro-cosanet

Idiopathic pulmonary fibrosis (IPF) is a restrictive interstitial lung disease that causes lung function decline by lung tissue scarring. Although lung function decline is assessed by the forced vital capacity (FVC), determining the accurate progression of IPF remains a challenge. To address this challenge, we proposed Fibro-CoSANet, a novel end-to-end multi-modal learning-based approach, to predict the FVC decline. Fibro-CoSANet utilized CT images and demographic information in convolutional neural network frameworks with a stacked attention layer. Extensive experiments on the OSIC Pulmonary Fibrosis Progression Dataset demonstrated the superiority of our proposed Fibro-CoSANet by achieving the new state-of-the-art modified Laplace Log-Likelihood score of -6.68. This network may benefit research areas concerned with designing networks to improve the prognostic accuracy of IPF.

filter-gap icon filter-gap

The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://openaccess.thecvf.com/content/CVPR2022/papers/Hou_CHEX_CHannel_EXploration_for_CNN_Model_Compression_CVPR_2022_paper.pdf

imgaug icon imgaug

Image augmentation for machine learning experiments.

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