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🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- …
本仓库包含三个面向学术科研人员的Skills，覆盖从文献阅读、论文写作到科学计算的完整研究工作流。office-academic-skill 负责论文阅读报告与学术 PPT/Word 文档生成；research-writing-skill 提供论文写作、润色与审稿回复辅助；scientific-toolkit-skill 整合 MATLAB/Python 科学计算与期刊级图表生成。三个 Sk…
UniMMAD: Unified Multi-Modal and Multi-Class Anomaly Detection via MoE-Driven Feature Decompression
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
This repo contains the source code for the thymus health projects.
[CVPR 2026] This repo contains the code and models of SPECTRE: Self-Supervised & Cross-Modal Pretraining for CT Representation Extraction.
Pretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.
VIBESegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images
State-of-the-art, deep learning-based segmentation of brain white matter hyperintensities (of presumed vascular origin) on MRI
ATLAS R2.0 - Anatomical Tracings of Lesions After Stroke
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Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.
Official Implementation of ResViT: Residual Vision Transformers for Multi-modal Medical Image Synthesis
Self-Supervised Pre-training of Swin UNETR for Enhanced Classification of Plain Head MRI
MM-StrokeNet method for segmenting sub-acute and chronic stroke lesions.
Enhances underwater images / videos using Deep Image Processing (DIP) techniques like Dark Channel Prior and guided filtering, improving visibility and color accuracy.
U-shape Transformer for Underwater Image Enhancement
[TCSVT] Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysis
Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch #RAL2020
An (working) example of cSVD based (head) CT perfusion map generator in Python.
DeepWMH: Annotation-free white matter hyperintensity (WMH) lesion segmentation tool using deep learning.
AICONSlab's white matter hyperintensities (WMH) segmentation algorithm using CNNs
This is an automatic white matter hyperintensity segmentation tool on FLAIR images
Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.
MIntRec2.0 is the first large-scale dataset for multimodal intent recognition and out-of-scope detection in multi-party conversations (ICLR 2024)