【GNN4Medical】GNN在医疗领域发展和应用
目录
1、引入
2、方法
综述
2021 Sensors Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
图神经网络在智能诊断与预测中应用的指南和测试基准 2022 Mechanical Systems and Signal Processing The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study
GNN大型医学图像分析--
临床入组GPT在医疗一个应用方向-- 2024 Nature Communications Matching Patients to Clinical Trials with Large Language Models
医学领域LLM应用 --2024 Briefings in Bioinformatics Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health
组织学图像分类 2019 CVPR Cgc-net: Cell graph convolutional network for grading of colorectal cancer histology images.
病理检测 2019 GLMI Weakly-and Semi-supervised Graph CNN for Identifying Basal Cell Carcinoma on Pathological Images
真的分割任何东西--2023 CVPR Segment Anything
GNN4分割/重建
3D图像分割-- 2019 In International Workshop on Graph Learning in Medical Imaging Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks
交互式标注 2019 CVPR Curve-GCN Fast Interactive Object Annotation With Curve-GCN
2018 ECCV Pixel2Mesh Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
2020 One shot learning MICCAI Learning to Segment Anatomical Structures Accurately from One Exemplar
2018 IJCAI 语义分割 View-volume Network for Semantic Scene Completion from a Single Depth Image
GNN4分类
疾病分类 2022 Medical Image Analysis UG-GAT Uncertainty-guided graph attention network for parapneumonic effusion diagnosis
AD预测 2018 Medical Image Analysis Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease
多标签预测 2019 CVPR Multi-Label Image Recognition With Graph Convolutional Networks
其他
GNN4脑科学
GNN脑分割--2019 Medical image analysis Graph convolutions on spectral embeddings for cortical surface parcellation.
GNN脑分割--2020 GRAIL Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentatio
GNN脑可解释--2021 Medical Image Analysis BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis
GNN脑连接--1
GNN脑连接--2020 Medical Imaging Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection
GNN4医学诊断
GNN认知障碍--2020 Methodology Selected articles from the 15th International Symposium on Bioinformatics Research and Applications (ISBRA-19): bioinformatics
GNN疾病分类-- 2020 arxiv Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC)
GNN肺部CT图像检索--2019 GLMI Linking Convolutional Neural Networks with Graph Convolutional Networks: Application in Pulmonary Artery-Vein Separation
GNN图像配准--2019 GLMI Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients
GNN多模态融合--2019 MICCAI Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder
GNN4疾病预测
2023 科技导报 图神经网络在精神及神经系统疾病的应用及其对中医药领域的启示
GNN 疾病预测 2020 MICCAI Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction
2020 Big Data Graph Neural Network-Based Diagnosis Prediction
2018 Medical image analysis Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease
2019 IPMI InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction
GNN手术介入--2019 International Conference on Information Processing in Medical Imaging Graph Convolutional Nets for Tool Presence Detection in Surgical Videos
通过病理数据预测突变 2018 Nature Medicine Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
阿里 把冠状动脉的自动命名转化成图节点的分类问题--2020 CVPR CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
GNN4药物发现和研究
药物发现和开发 2021 Briefings in bioinformatics Utilising Graph Machine Learning within Drug Discovery and Development
抗生素发现 2020 Cell A Deep Learning Approach to Antibiotic Discovery
靶标相互作用预测 2020 BMC Bioinformatics Drug-target interaction prediction using semi-bipartite graph model and deep learning
蛋白质分子 2019 Nature Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
预测药理活性 2021 Scientific Reports Prediction of pharmacological activities from chemical structures with graph convolutional neural networks
GNN4COVID-19报告
检测COVID-19 2021 Neurocomputing ResGNet-C: A graph convolutional neural network for detection of COVID-19
COVID-19的药物再利用 2021 Proceedings of the National Academy of Sciences Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19
医疗AI在肿瘤方面应用场景总结PPT（全面）
3、参考
1、引入
2020年，图机器学习（Graph ML）已经成为机器学习（ML）领域中的一个备受关注的焦点研究方向。其中，图神经网络（GNN）是一类用于处理图域信息的神经网络，由于有较好的性能和可解释性，现已被广泛应用到各个领域。
图是一种强大的工具，可以表示由各种人工和自然过程产生的丰富而复杂的数据。图可以视为具有以下特征的结构化数据类型：顶点（保存信息的实体）和边（保存信息的顶点之间的连接），因此具有组成性质和关系性质。图提供了处理关系和交互这些抽象概念的一种方法，还提供了用直观的视觉去思考这些概念的方式。