Image de couverture de livre

Component-Adaptive and Lesion-Level Supervision for Improved Small Structure Segmentation in Brain MRI

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Luu, Minh Sao Khue, Pavlovskiy, Evgeniy N., Tuchinov, Bair N.
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Foundation Model for Brain MRI with Dynamic Modality Integration
par: Luu, Minh Sao Khue, et autres
Publié: (2025)

A Structured Review and Quantitative Profiling of Public Brain MRI Datasets for Foundation Model Development
par: Luu, Minh Sao Khue, et autres
Publié: (2025)

Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure Network
par: Tain, Zhibo, et autres
Publié: (2023)

Text-Driven Weakly Supervised OCT Lesion Segmentation with Structural Guidance
par: Yang, Jiaqi, et autres
Publié: (2024)

Multimodal MRI Report Findings Supervised Brain Lesion Segmentation with Substructures
par: Ge, Yubin, et autres
Publié: (2026)

MRI-Based Brain Age Estimation with Supervised Contrastive Learning of Continuous Representation
par: Crête, Simon Joseph Clément, et autres
Publié: (2025)

Segmentation of Gray Matters and White Matters from Brain MRI data
par: Sun, Chang, et autres
Publié: (2026)

IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI
par: Liang, Ziyun, et autres
Publié: (2024)

Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
par: Bair, Anna, et autres
Publié: (2023)

Atlas-Assisted Segment Anything Model for Fetal Brain MRI (FeTal-SAM)
par: Zeng, Qi, et autres
Publié: (2026)

Automated Detection of Multiple Sclerosis Lesions on 7-tesla MRI Using U-net and Transformer-based Segmentation
par: Maynord, Michael, et autres
Publié: (2026)

Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation
par: Ferreira, André, et autres
Publié: (2024)

CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation
par: Xiao, Wenbo, et autres
Publié: (2025)

PARASIDE: An Automatic Paranasal Sinus Segmentation and Structure Analysis Tool for MRI
par: Möller, Hendrik, et autres
Publié: (2025)

Confidence Intervals for Performance Estimates in Brain MRI Segmentation
par: Jurdi, R. El, et autres
Publié: (2023)

GAZE: Grounded Agentic Zero-shot Evaluation with Viewer-Level Tools and Literature Retrieval on Rare Brain MRI
par: Alim, Duaa, et autres
Publié: (2026)

Segment Anything without Supervision
par: Wang, XuDong, et autres
Publié: (2024)

SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation
par: Basaran, Berke Doga, et autres
Publié: (2024)

Mammographic Lesion Segmentation with Lightweight Models: A Comparative Study
par: Oliveira, Helder
Publié: (2026)

NeuroVascU-Net: A Unified Multi-Scale and Cross-Domain Adaptive Feature Fusion U-Net for Precise 3D Segmentation of Brain Vessels in Contrast-Enhanced T1 MRI
par: Vayeghan, Mohammad Jafari, et autres
Publié: (2025)

Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses
par: Kaczmarek, Emily, et autres
Publié: (2025)

Patch2Loc: Learning to Localize Patches for Unsupervised Brain Lesion Detection
par: Baker, Hassan, et autres
Publié: (2025)

Investigating the Role of Bilateral Symmetry for Inpainting Brain MRI
par: Kuznetsov, Sergey, et autres
Publié: (2025)

MedFL-Stress: A Systematic Robustness Evaluation of Federated Brain Tumor Segmentation under Cross-Hospital MRI Appearance Shift
par: Naseer, Kiran, et autres
Publié: (2026)

Novel Deep Learning Architectures for Classification and Segmentation of Brain Tumors from MRI Images
par: Das, Sayan, et autres
Publié: (2025)

Brain Tumor Segmentation with Special Emphasis on the Non-Enhancing Brain Tumor Compartment
par: Schaffer, T., et autres
Publié: (2026)

Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation
par: Eiras, Francisco, et autres
Publié: (2023)

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation
par: Morales-Brotons, Daniel, et autres
Publié: (2024)

An Uncertainty-Aware Loss Function Incorporating Fuzzy Logic: Application to MRI Brain Image Segmentation
par: Verma, Hanuman, et autres
Publié: (2026)

Universal Lesion Segmentation Challenge 2023: A Comparative Research of Different Algorithms
par: Shi, Kaiwen, et autres
Publié: (2025)

KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation
par: Trinh, Quoc-Huy, et autres
Publié: (2023)

Uncertainty-Supervised Interpretable and Robust Evidential Segmentation
par: Li, Yuzhu, et autres
Publié: (2025)

Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet
par: Pandey, Sumit, et autres
Publié: (2024)

Capturing Temporal Components for Time Series Classification
par: Vavilthota, Venkata Ragavendra, et autres
Publié: (2024)

Brain Tumor Detection in MRI Based on Federated Learning with YOLOv11
par: Monisha, Sheikh Moonwara Anjum, et autres
Publié: (2025)

Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
par: Wang, Tao, et autres
Publié: (2024)

StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models
par: Nguyen, Duy M. H., et autres
Publié: (2026)

Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification
par: Xun, Yue, et autres
Publié: (2025)

AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images
par: Chen, Gongping, et autres
Publié: (2022)

Weakly Supervised Pixel-Level Annotation with Visual Interpretability
par: Nasir, Basma, et autres
Publié: (2025)