Jiyao Liu's Projects
2021 数模美赛O奖论文及代码公开
MRI image of rectal cancer segmentation using3D U-net baseline
Artificial Intelligence
A beautiful, simple, clean, and responsive Jekyll theme for academics
A collection of resources and papers on Diffusion Models
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
A collection of awesome resources image-to-image translation.
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
计算机/人工智能学习笔记
We used some models for deep learning using PyTorch for your reference.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
本教程是对本人研究生期间的研究内容进行整理总结,总结的同时也希望能够帮助更多的小伙伴。后期如果有学习到新的知识也会与大家一起分享。
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Jy-stdio.github.io
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
Lifespan Age Transformation Synthesis code
Config files for my GitHub profile.
AcadHomepage: A Modern and Responsive Academic Personal Homepage
Multi-Phase Liver-Specific DCE-MRI Translation via a Registration-Guided GAN
This repository is for MRI image processing, mainly using python&matlab to realize.
Synthesis Models for Multi-Sequence MRIs
MSCMR Segmentation based on Attention U-Net, U-Net, FCN and SegNet.
Multi-task learning for rectal cancer segmentation and diagnosis on MRI Image
图床