Highlights
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[WACV 2024] INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings
[WACV 2024] Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
LaTeX graphics with TikZ, by Packt Publishing
Official code for Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach
[MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
Official repo for Medical Image Segmentation Review: The success of U-Net
Official implementation code for Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation paper
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Implementation of famous convolutional neural networks in Tensorflow
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
[MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)