xmindflow Goto Github PK
Name: X-MindFlow
Type: Organization
Location: Germany
Blog: https://xmindflow.com
Name: X-MindFlow
Type: Organization
Location: Germany
Blog: https://xmindflow.com
[MICCAI 2023] Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach
A curated list of foundation models for vision and language tasks in medical imaging
[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging
[MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
[MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
[WACV 2024] Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
[MICCAI 2023] DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation
Fast Medical Segment Anything
[ISBI 2024] FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation
[ISBI 2024] HCA-Net: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling
[WACV 2024] INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings
[MICCAI 2023] Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection
LHU-Net: A Light Hybrid U-Net for Cost-efficient, High-performance Volumetric Medical Image Segmentation
Official repository of the paper titled "Segmentation of Brain Metastases in MRI: A Two-Stage Deep Learning Approach with Modality Impact Study"
[MIDL 2023] MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation
[MIDL 2023] MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation
[ICCV 2023] Self-supervised Semantic Segmentation: Consistency over Transformation
[ISBI 2024] Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning
Official code for Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach
Reducing Uncertainty in 3D Medical Image Segmentation
[MICCAI 2023] Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers
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