Cover Image

Tractography-Guided Dual-Label Collaborative Learning for Multi-Modal Cranial Nerves Parcellation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xie, Lei, Huang, Junxiong, Feng, Yuanjing, Zeng, Qingrun
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Arbitrary-Modal Fusion Network for Volumetric Cranial Nerves Tract Segmentation
by: Xie, Lei, et al.
Published: (2025)

Bundle-specific Tractogram Distribution Estimation Using Higher-order Streamline Differential Equation
by: Feng, Yuanjing, et al.
Published: (2023)

Anatomy-guided fiber trajectory distribution estimation for cranial nerves tractography
by: Xie, Lei, et al.
Published: (2024)

Modality Exchange Network for Retinogeniculate Visual Pathway Segmentation
by: Han, Hua, et al.
Published: (2024)

A Novel Deep Learning Tractography Fiber Clustering Framework for Functionally Consistent White Matter Parcellation Using Multimodal Diffusion MRI and Functional MRI
by: Wang, Jin, et al.
Published: (2024)

Multi-dimensional Parameter Space Exploration for Streamline-specific Tractography
by: Vink, Ruben, et al.
Published: (2024)

Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation
by: Zhang, Zhenxuan, et al.
Published: (2025)

Dual-Phase Cross-Modal Contrastive Learning for CMR-Guided ECG Representations for Cardiovascular Disease Assessment
by: Alvarez-Florez, Laura, et al.
Published: (2026)

DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI
by: Li, Chenjun, et al.
Published: (2024)

Automated Mapping the Pathways of Cranial Nerve II, III, V, and VII/VIII: A Multi-Parametric Multi-Stage Diffusion Tractography Atlas
by: Xie, Lei, et al.
Published: (2025)

Uncertainty-Guided Dual-Domain Learning for Reliable Skin Lesion Segmentation
by: Dai, Duwei, et al.
Published: (2026)

Convergent and divergent connectivity patterns of the arcuate fasciculus in macaques and humans
by: Huang, Jiahao, et al.
Published: (2025)

UADSN: Uncertainty-Aware Dual-Stream Network for Facial Nerve Segmentation
by: Zhu, Guanghao, et al.
Published: (2024)

A Comprehensive Review of Agricultural Parcel and Boundary Delineation from Remote Sensing Images: Recent Progress and Future Perspectives
by: Zheng, Juepeng, et al.
Published: (2025)

Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation
by: Chen, Yuanbin, et al.
Published: (2023)

Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders
by: Wodzinski, Marek, et al.
Published: (2024)

A Proof-of-Concept Study of Multitask Learning for Cranial Synthetic CT Generation Across Heterogeneous MRI Field Strengths
by: Xin, Zhuoyao, et al.
Published: (2026)

Dual-Modality Computational Ophthalmic Imaging with Deep Learning and Coaxial Optical Design
by: Peng, Boyuan, et al.
Published: (2025)

K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment
by: Xie, Guoyang, et al.
Published: (2023)

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms
by: He, Muyang, et al.
Published: (2026)

DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography
by: Vroemen, Marcus J., et al.
Published: (2025)

Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image Translation
by: Huang, Chuan, et al.
Published: (2024)

FermatSyn: SAM2-Enhanced Bidirectional Mamba with Isotropic Spiral Scanning for Multi-Modal Medical Image Synthesis
by: Yuan, Feng
Published: (2025)

Beyond Point Annotation: A Weakly Supervised Network Guided by Multi-Level Labels Generated from Four-Point Annotation for Thyroid Nodule Segmentation in Ultrasound Image
by: Chi, Jianning, et al.
Published: (2024)

Unified Multi-Modal Image Synthesis for Missing Modality Imputation
by: Zhang, Yue, et al.
Published: (2023)

Survival Prediction in Lung Cancer through Multi-Modal Representation Learning
by: Farooq, Aiman, et al.
Published: (2024)

A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography
by: Lo, Yui, et al.
Published: (2025)

DMVFC: Deep Learning Based Functionally Consistent Tractography Fiber Clustering Using Multimodal Diffusion MRI and Functional MRI
by: Guo, Bocheng, et al.
Published: (2025)

Multi-Modal Brain Tumor Segmentation via 3D Multi-Scale Self-attention and Cross-attention
by: Huang, Yonghao, et al.
Published: (2025)

DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays
by: Xie, Xing, et al.
Published: (2025)

Federated Learning for Coronary Artery Plaque Detection in Atherosclerosis Using IVUS Imaging: A Multi-Hospital Collaboration
by: Hsiao, Chiu-Han, et al.
Published: (2024)

PCMamba: Physics-Informed Cross-Modal State Space Model for Dual-Camera Compressive Hyperspectral Imaging
by: Meng, Ge, et al.
Published: (2025)

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

Proceedings for the Inaugural Meeting of the International Society for Tractography -- IST 2025 Bordeaux
by: Acqua, Flavio Dell, et al.
Published: (2026)

Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation
by: Teng, Lin, et al.
Published: (2024)

A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction
by: Lackner, Michael, et al.
Published: (2024)

Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution
by: Lin, Junxiong, et al.
Published: (2024)

PGAD: Prototype-Guided Adaptive Distillation for Multi-Modal Learning in AD Diagnosis
by: Li, Yanfei, et al.
Published: (2025)

PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN with Dual-Discriminators
by: Cong, Runmin, et al.
Published: (2023)

Multi-View Learning with Context-Guided Receptance for Image Denoising
by: Chen, Binghong, et al.
Published: (2025)