caiyu6666

AE4AD

[MICCAI2024] Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective

caiyu6666

caiyu6666.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

DDAD

MICCAI 2022 (Early Accepted): Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays

DDAD-ASR

[MedIA'2023] Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images

DOOBNet

Code for DOOBNet paper

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

MedIAnomaly

MedIAnomaly: A comparative study of anomaly detection in medical images

python_homework

Awesome-Vision-Mamba-Models

[Official Repo] A Survey on Vision Mamba: Models, Applications and Challenges

caiyu6666/DDAD

MICCAI 2022 (Early Accepted): Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays

caiyu6666/DDAD-ASR

[MedIA'2023] Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images

caiyu6666/MedIAnomaly

MedIAnomaly: A comparative study of anomaly detection in medical images

caiyu6666/AE4AD

[MICCAI2024] Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective

caiyu6666/caiyu6666

caiyu6666/caiyu6666.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

caiyu6666/DOOBNet

Code for DOOBNet paper

caiyu6666/fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

caiyu6666/python_homework