Zeju Li's Projects
A framework for data augmentation for 2D and 3D image classification and segmentation
[TMI2023] Context Label Learning: Improving Background Class Representations in Semantic Segmentation.
Differentiable architecture search for convolutional and recurrent networks
[MICCAI2019 & TMI2020] Chest X-Ray Decomposition with Unpaired CT Knowledge.
DeepMedic with Focal Loss
[TCybern2019] Brain MRI Super-Resolution based on Thick-Section MR Images from Two Planes.
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
[Challenge] The winning method of Huawei UK Image Denoising Challenge 2018.
[TMI2023] Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation.
[MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.
[MICCAI2019 & TMI2020] Overfitting under Class Imbalance: Anaylsis and Improvements for Medical Image Segmentation.
Skin lesion classification datasets from different sources. (Data downloading&Preprocessing&Training)
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning
My personal repository.
Zeju Li's Homepage