Cover Image

Automatic 8-tissue Segmentation for 6-month Infant Brains

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dong, Yilan, Kyriakopoulou, Vanessa, Grigorescu, Irina, McAlonan, Grainne, Batalle, Dafnis, Deprez, Maria
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Framework for Comparison and Interpretation of Machine Learning Classifiers to Predict Autism on the ABIDE Dataset
by: Yilan Dong, et al.
Published: (2025)

LiNUS: Lightweight Automatic Segmentation of Deep Brain Nuclei for Real-Time DBS Surgery
by: Zhang, Shuo, et al.
Published: (2026)

Rewiring Development in Brain Segmentation: Leveraging Adult Brain Priors for Enhancing Infant MRI Segmentation
by: Nigru, Alemu Sisay, et al.
Published: (2025)

Applications of interpretable deep learning in neuroimaging: a comprehensive review
by: Munroe, Lindsay, et al.
Published: (2024)

RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation using Multimodal MRI inputs
by: Feng, Anqi, et al.
Published: (2024)

Keep the Core: Adversarial Priors for Significance-Preserving Brain MRI Segmentation
by: Zhang, Feifei, et al.
Published: (2025)

Modality-Agnostic Brain Lesion Segmentation with Privacy-aware Continual Learning
by: Sadegheih, Yousef, et al.
Published: (2025)

CTseg: A Tool for Brain CT Segmentation, Spatial Normalisation, and Volumetrics
by: Brudfors, Mikael
Published: (2026)

Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation
by: Sadegheih, Yousef, et al.
Published: (2026)

Brain MRI detection by Sematic Segmentation models- Transfer Learning approach
by: Vajiram, Jayanthi, et al.
Published: (2024)

Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIs
by: Shen, Yiqing, et al.
Published: (2024)

Hybridization of Attention UNet with Repeated Atrous Spatial Pyramid Pooling for Improved Brain Tumour Segmentation
by: Chowdhury, Satyaki Roy, et al.
Published: (2025)

Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning
by: Ayman, Ahmed
Published: (2023)

Two-Stage nnU-Net for Automatic Multi-class Bi-Atrial Segmentation from LGE-MRIs
by: On, Y., et al.
Published: (2025)

Segmentation of Brain Metastases in MRI: A Two-Stage Deep Learning Approach with Modality Impact Study
by: Sadegheih, Yousef, et al.
Published: (2024)

HemSeg-200: A Voxel-Annotated Dataset for Intracerebral Hemorrhages Segmentation in Brain CT Scans
by: Song, Changwei, et al.
Published: (2024)

Automating Vessel Segmentation in the Heart and Brain: A Trend to Develop Multi-Modality and Label-Efficient Deep Learning Techniques
by: Elsayed, Nazik, et al.
Published: (2024)

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

Meta-learning Slice-to-Volume Reconstruction in Fetal Brain MRI using Implicit Neural Representations
by: Dannecker, Maik, et al.
Published: (2025)

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
by: Moawad, Ahmed W., et al.
Published: (2023)

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

Evaluating the Quality of Brain MRI Generators
by: Wu, Jiaqi, et al.
Published: (2024)

CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation
by: Zhou, Yirong, et al.
Published: (2022)

Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour Segmentation
by: Alloula, Anissa, et al.
Published: (2023)

Automatic Tuning of Denoising Algorithms Parameters Without Ground Truth
by: Floquet, Arthur, et al.
Published: (2024)

Segment Anything Model for Brain Tumor Segmentation
by: Zhang, Peng, et al.
Published: (2023)

Anatomy-Preserving Latent Diffusion for Generation of Brain Segmentation Masks with Ischemic Infarct
by: Borrego, Lucia, et al.
Published: (2026)

SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus
by: Gao, Yifan, et al.
Published: (2025)

Personalized White Matter Bundle Segmentation for Early Childhood
by: McMaster, Elyssa M., et al.
Published: (2026)

Deep Learning-Based Approach for Automatic 2D and 3D MRI Segmentation of Gliomas
by: Janardhan, Kiranmayee, et al.
Published: (2025)

Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation
by: Shen, Yiqing, et al.
Published: (2024)

Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI
by: Maleki, Nazanin, et al.
Published: (2025)

SPICER: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation and Reconstruction
by: Hu, Yuyang, et al.
Published: (2022)

Experimental Framework for Generating Reliable Ground Truth for Laryngeal Spatial Segmentation Tasks
by: Ghasemzadeh, Hamzeh, et al.
Published: (2024)

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning
by: Jung, Sunyoung, et al.
Published: (2024)

Quality assurance of the Federal Interagency Traumatic Brain Injury Research (FITBIR) MRI database to enable integrated multi-site analysis
by: Saunders, Adam M., et al.
Published: (2025)

Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound
by: Mykula, Hanna, et al.
Published: (2024)

Radiomics and Clinical Features in Predictive Modelling of Brain Metastases Recurrence
by: Faria, Ines, et al.
Published: (2025)

Combined fluorescence and photoacoustic imaging of tozuleristide in muscle tissue in vitro -- toward optically-guided solid tumor surgery: feasibility studies
by: Shang, Ruibo, et al.
Published: (2025)

CONSeg: Voxelwise Glioma Conformal Segmentation
by: Elyassirad, Danial, et al.
Published: (2025)