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MRI segmentation

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Showing 101–150 of 177 papers

TitleStatusHype
The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features—0
Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation—0
Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg—0
Towards Population Scale Testis Volume Segmentation in DIXON MRI—0
Bayesian Neural Networks for 2D MRI Segmentation—0
Variational Inference for Quantifying Inter-observer Variability in Segmentation of Anatomical Structures—0
ViTBIS: Vision Transformer for Biomedical Image Segmentation—0
VTBIS: Vision Transformer for Biomedical Image Segmentation—0
Weighted Mean Frequencies: a handcraft Fourier feature for 4D Flow MRI segmentation—0
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation—0
Distribution-Aware Replay for Continual MRI Segmentation—0
3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework—0
3D Deep Affine-Invariant Shape Learning for Brain MR Image Segmentation—0
Acquisition-invariant brain MRI segmentation with informative uncertainties—0
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training—0
Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI—0
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation—0
A deep learning-based pipeline for error detection and quality control of brain MRI segmentation results—0
Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge—0
Adversarial training and dilated convolutions for brain MRI segmentation—0
A multi-objective optimization approach for brain MRI segmentation using fuzzy entropy clustering and region-based active contour methods—0
An Improved Approach for Cardiac MRI Segmentation based on 3D UNet Combined with Papillary Muscle Exclusion—0
A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology—0
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation—0
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation—0
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation—0
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks—0
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation—0
Boundary-weighted logit consistency improves calibration of segmentation networks—0
Brain MRI Segmentation using Rule-Based Hybrid Approach—0
Brain MRI Segmentation using Template-Based Training and Visual Perception Augmentation—0
Brain MRI Segmentation with Fast and Globally Convex Multiphase Active Contours—0
Brain Tumor Detection Based on Bilateral Symmetry Information—0
Cloud-based Federated Learning Framework for MRI Segmentation—0
C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for medical Image Segmentation—0
Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI—0
Comparative Validation of AI and non-AI Methods in MRI Volumetry to Diagnose Parkinsonian Syndromes—0
Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation—0
Computer-Aided Knee Joint Magnetic Resonance Image Segmentation - A Survey—0
Confidence Intervals for Performance Estimates in Brain MRI Segmentation—0
CORPS: Cost-free Rigorous Pseudo-labeling based on Similarity-ranking for Brain MRI Segmentation—0
Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging—0
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation—0
Deep Learning-Based Approach for Automatic 2D and 3D MRI Segmentation of Gliomas—0
Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?—0
Expert-Adaptive Medical Image Segmentation—0
Dense Self-Supervised Learning for Medical Image Segmentation—0
DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation—0
Domain generalization in fetal brain MRI segmentation \ multi-reconstruction augmentation—0
Dynamically evolving segment anything model with continuous learning for medical image segmentation—0
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