:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Alotaibi, Nojod M., Alhothali, Areej M.
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2604.10116
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

3DViT-GAT: A Unified Atlas-Based 3D Vision Transformer and Graph Learning Framework for Major Depressive Disorder Detection Using Structural MRI Data
by: Alotaibi, Nojod M., et al.
Published: (2025)

Multi-atlas Ensemble Graph Neural Network Model For Major Depressive Disorder Detection Using Functional MRI Data
by: Alotaibi, Nojod M., et al.
Published: (2024)

Placenta Accreta Spectrum Detection Using an MRI-based Hybrid CNN-Transformer Model
by: Ali, Sumaiya, et al.
Published: (2025)

Placenta Accreta Spectrum Detection using Multimodal Deep Learning
by: Ali, Sumaiya, et al.
Published: (2025)

Multimodal Connectome Fusion via Cross-Attention for Autism Spectrum Disorder Classification Using Graph Learning
by: Rahman, Ansar, et al.
Published: (2026)

CANAMRF: An Attention-Based Model for Multimodal Depression Detection
by: Wei, Yuntao, et al.
Published: (2024)

Cross-modality Guidance-aided Multi-modal Learning with Dual Attention for MRI Brain Tumor Grading
by: Xu, Dunyuan, et al.
Published: (2024)

IDRL: An Individual-Aware Multimodal Depression-Related Representation Learning Framework for Depression Diagnosis
by: Wang, Chongxiao, et al.
Published: (2026)

CAM-VFD: Cross-Attention Multimodal Video Forgery Detection
by: Elkhodary, Hoda Osama, et al.
Published: (2026)

A Context-aware Attention and Graph Neural Network-based Multimodal Framework for Misogyny Detection
by: Rehman, Mohammad Zia Ur, et al.
Published: (2025)

MCN-CL: Multimodal Cross-Attention Network and Contrastive Learning for Multimodal Emotion Recognition
by: Li, Feng, et al.
Published: (2025)

DBMF: A Dual-Branch Multimodal Framework for Out-of-Distribution Detection
by: Yue, Jiangbei, et al.
Published: (2026)

A Multimodal-Multitask Framework with Cross-modal Relation and Hierarchical Interactive Attention for Semantic Comprehension
by: Rehman, Mohammad Zia Ur, et al.
Published: (2025)

MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
by: Yahathugoda, Yovin, et al.
Published: (2025)

A Novel Dual-Stream Framework for dMRI Tractography Streamline Classification with Joint dMRI and fMRI Data
by: Yan, Haotian, et al.
Published: (2025)

Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift
by: Zeng, Qingyuan, et al.
Published: (2024)

Cross-Modal Mapping and Dual-Branch Reconstruction for 2D-3D Multimodal Industrial Anomaly Detection
by: Daci, Radia, et al.
Published: (2026)

Multimodal Learning for Scalable Representation of High-Dimensional Medical Data
by: Alsaafin, Areej, et al.
Published: (2024)

A Graph Attention Network-Based Framework for Reconstructing Missing LiDAR Beams
by: Awedat, Khalfalla, et al.
Published: (2025)

Solution to the 10th ABAW Expression Recognition Challenge: A Robust Multimodal Framework with Safe Cross-Attention and Modality Dropout
by: Yu, Jun, et al.
Published: (2026)

MRI-Based Brain Tumor Detection through an Explainable EfficientNetV2 and MLP-Mixer-Attention Architecture
by: Yurdakul, Mustafa, et al.
Published: (2025)

Multimodal Emotion Recognition via Bi-directional Cross-Attention and Temporal Modeling
by: Byeon, Junhyeong, et al.
Published: (2026)

CreativeSynth: Cross-Art-Attention for Artistic Image Synthesis with Multimodal Diffusion
by: Huang, Nisha, et al.
Published: (2024)

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment
by: Gao, Yuzhen, et al.
Published: (2025)

Dual-Encoder Transformer-Based Multimodal Learning for Ischemic Stroke Lesion Segmentation Using Diffusion MRI
by: Usman, Muhammad, et al.
Published: (2025)

LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild
by: He, Lang, et al.
Published: (2024)

DGSAN: Dual-Graph Spatiotemporal Attention Network for Pulmonary Nodule Malignancy Prediction
by: Yu, Xiao, et al.
Published: (2025)

MIRAGE: Knowledge Graph-Guided Cross-Cohort MRI Synthesis for Alzheimer's Disease Prediction
by: Wu, Guanchen, et al.
Published: (2026)

FMT:A Multimodal Pneumonia Detection Model Based on Stacking MOE Framework
by: Xu, Jingyu, et al.
Published: (2025)

Tighnari: Multi-modal Plant Species Prediction Based on Hierarchical Cross-Attention Using Graph-Based and Vision Backbone-Extracted Features
by: Liu, Haixu, et al.
Published: (2025)

Modality-Aware and Anatomical Vector-Quantized Autoencoding for Multimodal Brain MRI
by: Li, Mingjie, et al.
Published: (2026)

Robust Diabetic Retinopathy Grading Using Dual-Resolution Attention-Based Deep Learning with Ordinal Regression
by: Hashmi, Afshan
Published: (2026)

True Multimodal In-Context Learning Needs Attention to the Visual Context
by: Chen, Shuo, et al.
Published: (2025)

Deep Learning-Based Computer Vision Models for Early Cancer Detection Using Multimodal Medical Imaging and Radiogenomic Integration Frameworks
by: Oghenekaro, Emmanuella Avwerosuoghene
Published: (2025)

LOCATEdit: Graph Laplacian Optimized Cross Attention for Localized Text-Guided Image Editing
by: Soni, Achint, et al.
Published: (2025)

Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers
by: Berger, Alexander H., et al.
Published: (2024)

Modelling Visual Semantics via Image Captioning to extract Enhanced Multi-Level Cross-Modal Semantic Incongruity Representation with Attention for Multimodal Sarcasm Detection
by: Aggarwal, Sajal, et al.
Published: (2024)

QTSeg: A Query Token-Based Dual-Mix Attention Framework with Multi-Level Feature Distribution for Medical Image Segmentation
by: Tran, Phuong-Nam, et al.
Published: (2024)

Towards Label-Free Brain Tumor Segmentation: Unsupervised Learning with Multimodal MRI
by: Comas-Quiles, Gerard, et al.
Published: (2025)

Trifuse: Enhancing Attention-Based GUI Grounding via Multimodal Fusion
by: Ma, Longhui, et al.
Published: (2026)