MICCAI2023中的多模态方面论文

筛选整理出来,开始阅读,后面补上阅读笔记

  1. Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer’s Disease Using Multimodal Imaging Genetics
  2. Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data
  3. CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis
  4. DBTrans: A Dual-Branch Vision Transformer for Multi-modal Brain Tumor Segmentation
  5. Gene-induced Multimodal Pre-training for Image-omic Classification
  6. H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation
  7. Incomplete Multimodal Learning for Visual Acuity Prediction after Cataract Surgery Using Masked Self-Attention
  8. Ischemic stroke segmentation from a cross-domain representation in multimodal diffusion studies
  9. Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
  10. Learning Reliability of Multi-Modality Medical Images for Tumor Segmentation via Evidence-Identified Denoising Diffusion Probabilistic Models
  11. Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification
  12. Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering
  13. Multi-modal Variational Autoencoders for normative modelling across multiple imaging modalities
  14. Multi-Modal Semi-supervised Evidential Recycle Framework for Alzheimer's Disease Classification
  15. Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis
  16. Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study
  17. Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk
  18. Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk
  19. MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis
  20. Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction
  21. Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction
  22. Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation
  23. Unpaired Cross-modal Interaction Learning for COVID-19 Segmentation on Limited CT images
  24. Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI
  25. Incomplete Multimodal Learning for Visual Acuity Prediction after Cataract Surgery Using Masked Self-Attention
  26. Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
  27. CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training

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