Imagen de Portada

Trustworthy Enhanced Multi-view Multi-modal Alzheimer's Disease Prediction with Brain-wide Imaging Transcriptomics Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cong, Shan, Fan, Zhoujie, Liu, Hongwei, Zhang, Yinghan, Wang, Xin, Luo, Haoran, Yao, Xiaohui
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence Image and Video Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Fed-MUnet: Multi-modal Federated Unet for Brain Tumor Segmentation
por: Zhou, Ruojun, et al.
Publicado: (2024)

M$^3$AD: Multi-task Multi-gate Mixture of Experts for Alzheimer's Disease Diagnosis with Conversion Pattern Modeling
por: Jiang, Yufeng, et al.
Publicado: (2025)

Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
por: Liang, Guoyan, et al.
Publicado: (2025)

PE-MVCNet: Multi-view and Cross-modal Fusion Network for Pulmonary Embolism Prediction
por: Guo, Zhaoxin, et al.
Publicado: (2024)

Parallel compressive super-resolution imaging with wide field-of-view based on physics enhanced network
por: Jin, Xiao-Peng, et al.
Publicado: (2023)

Disentangled Multi-modal Learning of Histology and Transcriptomics for Cancer Characterization
por: Zhang, Yupei, et al.
Publicado: (2025)

Prompt-based Multimodal Semantic Communication for Multi-spectral Image Segmentation
por: Zhang, Haoshuo, et al.
Publicado: (2025)

Unsupervised Learning of Multi-modal Affine Registration for PET/CT
por: Chen, Junyu, et al.
Publicado: (2024)

Correlation Ratio for Unsupervised Learning of Multi-modal Deformable Registration
por: Chen, Xiaojian, et al.
Publicado: (2025)

Multi-modal Evidential Fusion Network for Trustworthy PET/CT Tumor Segmentation
por: Qi, Yuxuan, et al.
Publicado: (2024)

UniMIC: Towards Universal Multi-modality Perceptual Image Compression
por: Gao, Yixin, et al.
Publicado: (2024)

Imbalance Knowledge-Driven Multi-modal Network for Land-Cover Semantic Segmentation Using Images and LiDAR Point Clouds
por: Wang, Yameng, et al.
Publicado: (2023)

Enhanced Masked Image Modeling to Avoid Model Collapse on Multi-modal MRI Datasets
por: Han, Linxuan, et al.
Publicado: (2024)

Multi-modal Data Fusion and Deep Ensemble Learning for Accurate Crop Yield Prediction
por: Yewle, Akshay Dagadu, et al.
Publicado: (2025)

Multi-modal Spatial Clustering for Spatial Transcriptomics Utilizing High-resolution Histology Images
por: Li, Bingjun, et al.
Publicado: (2024)

MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation
por: Luo, Jialin, et al.
Publicado: (2024)

TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion
por: Tian, Xin, et al.
Publicado: (2024)

MLICv2: Enhanced Multi-Reference Entropy Modeling for Learned Image Compression
por: Jiang, Wei, et al.
Publicado: (2025)

Transcoding a 3D Gaussian Splatting Model from a Plenoptic Point Cloud or Mesh without the Original Multi-view Images
por: Krivokuća, Maja, et al.
Publicado: (2026)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results
por: Payette, Kelly, et al.
Publicado: (2024)

Enhancing Multi-Exposure High Dynamic Range Imaging with Overlapped Codebook for Improved Representation Learning
por: Lee, Keuntek, et al.
Publicado: (2025)

Artificial Intelligence in Image-based Cardiovascular Disease Analysis
por: Wang, Xin, et al.
Publicado: (2024)

KongNet: A Multi-headed Deep Learning Model for Detection and Classification of Nuclei in Histopathology Images
por: Lv, Jiaqi, et al.
Publicado: (2025)

A Novel Truncated Norm Regularization Method for Multi-channel Color Image Denoising
por: Shan, Yiwen, et al.
Publicado: (2023)

Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors
por: Khan, Abbas, et al.
Publicado: (2024)

MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding
por: Phung, Huu-Tai, et al.
Publicado: (2025)

Leveraging Multimodal Models for Enhanced Neuroimaging Diagnostics in Alzheimer's Disease
por: Chiumento, Francesco, et al.
Publicado: (2024)

Clinically-aligned Multi-modal Chest X-ray Classification
por: Sloan, Phillip, et al.
Publicado: (2025)

Enhancing Alzheimer's Disease Prediction: A Novel Approach to Leveraging GAN-Augmented Data for Improved CNN Model Accuracy
por: Sunkara, Akshay, et al.
Publicado: (2024)

A Literature Review on Fetus Brain Motion Correction in MRI
por: Zhang, Haoran, et al.
Publicado: (2024)

Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis
por: Zhang, Shichuan, et al.
Publicado: (2024)

Biomarker Investigation using Multiple Brain Measures from MRI through XAI in Alzheimer's Disease Classification
por: Coluzzi, Davide, et al.
Publicado: (2023)

Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural Patterns in Alzheimer Disease
por: Kumar, Sayantan, et al.
Publicado: (2021)

Identifying Functional Brain Networks of Spatiotemporal Wide-Field Calcium Imaging Data via a Long Short-Term Memory Autoencoder
por: Zhang, Xiaohui, et al.
Publicado: (2024)

Trustworthy Image Super-Resolution via Generative Pseudoinverse
por: Floros, Andreas, et al.
Publicado: (2025)

Scalable, Trustworthy Generative Model for Virtual Multi-Staining from H&E Whole Slide Images
por: Ounissi, Mehdi, et al.
Publicado: (2024)

Multi-sensor Learning Enables Information Transfer across Different Sensory Data and Augments Multi-modality Imaging
por: Zhu, Lingting, et al.
Publicado: (2024)

Advanced Assessment of Stroke in Retinal Fundus Imaging with Deep Multi-view Learning
por: Degerli, Aysen, et al.
Publicado: (2025)

MarsSQE: Stereo Quality Enhancement for Martian Images Using Bi-level Cross-view Attention
por: Xu, Mai, et al.
Publicado: (2024)

Robust Multi-modal Task-oriented Communications with Redundancy-aware Representations
por: Fu, Jingwen, et al.
Publicado: (2025)