SJTUBME-QianLab / CGNN-PC-Early-Diagnosis

Related projects ⓘ

Alternatives and complementary repositories for CGNN-PC-Early-Diagnosis

• isfj / GPDBN
  ☆9Updated 3 years ago
• vkola-lab / tmi2024
  Graph attention-based fusion of pathology images and gene expression for prediction of cancer survival
  ☆10Updated 7 months ago
• cuicathy / MMD_SurvivalPrediction
  Code and data for MICCAI 2022 accepted paper: Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Dem…
  ☆17Updated 8 months ago
• yfzon / Multi-modal-Multi-instance-Learning
  ☆28Updated 3 years ago
• rina-ding / gat-mamba
  Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images
  ☆14Updated 5 months ago
• raminnakhli / AMIGO
  This is the pytorch\DGL implementation of the AMIGO paper.
  ☆11Updated 9 months ago
• gluglurice / Multi-TransSP
  Multi-TransSP for MICCAI2022
  ☆18Updated 2 years ago
• HakimBenkirane / Hyper-adaC
  Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis
  ☆12Updated last year
• ZhangqiJiang07 / MultimodalSurvivalPrediction
  Pancancer survival prediction using a deep learning architecture with multimodal representation and integration
  ☆9Updated 9 months ago
• yiqings / HEGnnEnhanceCnn
  Graph + Image Bimodal Deep Learning for Histology Image Classification
  ☆18Updated last year
• zylbuaa / PIBD
  [ICLR 2024]Implementation of "Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction"
  ☆51Updated 6 months ago
• CityU-AIM-Group / MultiModal-learning
  ☆28Updated last year
• CityU-AIM-Group / I2GCN
  [MedIA'22] Instance Importance-Aware Graph Convolutional Network for 3D Medical Diagnosis
  ☆16Updated 2 years ago
• lin-lcx / HGCN
  ☆57Updated last year
• konst-int-i / healnet
  Multimodal fusion for heterogeneous biomedical data. NeurIPS 2024.
  ☆31Updated last week
• med-air / TOP-GPM
  ☆12Updated 3 months ago
• uta-smile / DeepGraphSurv
  ☆14Updated 4 years ago
• histocartography / patho-quant-explainer
  Code for replicating results presented in the paper: "Quantifying Explainers of Graph Neural Networks in Computational Pathology"
  ☆45Updated 3 years ago
• HiLab-git / HAMIL
  ☆11Updated last year
• JiawenChenn / STimage-1K4M
  ☆31Updated last month
• StarUniversus / gcmae
  PyTorch implementation of GCMAE
  ☆34Updated 4 months ago
• Cassie07 / PathOmics
  [MICCAI 2023 Oral] The official code of "Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction" (top 9%)
  ☆77Updated last month
• YohnGuan / NAGCN
  ☆24Updated 2 years ago
• wwyi1828 / CluSiam
  Improving Representation Learning for Histopathologic Images with Cluster Constraints
  ☆16Updated 10 months ago
• Cassie07 / Review_Molecular_profile_prediction_GNN
  [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…
  ☆25Updated last year
• manuel-tran / s5cl
  S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning
  ☆17Updated last year
• HKU-MedAI / WSI-HGNN
  [CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
  ☆74Updated last year
• zhyhan / AD3DMIL
  Attention Based Deep 3D Multiple Instance Learning
  ☆23Updated 4 years ago
• Baeksweety / superpixel_transformer
  ☆13Updated last year
• Zhengyushan / kat
  The code for Kernel attention transformer (KAT)
  ☆30Updated 5 months ago