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MRI segmentation

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Showing 101–150 of 177 papers

TitleStatusHype
Performance Evaluation of Vanilla, Residual, and Dense 2D U-Net Architectures for Skull Stripping of Augmented 3D T1-weighted MRI Head Scans—0
Pioneering Precision in Lumbar Spine MRI Segmentation with Advanced Deep Learning and Data Enhancement—0
Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation—0
Revisiting MAE pre-training for 3D medical image segmentation—0
RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation—0
SAMba-UNet: Synergizing SAM2 and Mamba in UNet with Heterogeneous Aggregation for Cardiac MRI Segmentation—0
SAMRI-2: A Memory-based Model for Cartilage and Meniscus Segmentation in 3D MRIs of the Knee Joint—0
SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice Attention—0
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI—0
Segmentation of Pediatric Brain Tumors using a Radiologically informed, Deep Learning Cascade—0
Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder—0
Semi-Supervised Bone Marrow Lesion Detection from Knee MRI Segmentation Using Mask Inpainting Models—0
Skip-connected 3D DenseNet for volumetric infant brain MRI segmentation—0
SoftSeg: Advantages of soft versus binary training for image segmentation—0
Sparse annotation strategies for segmentation of short axis cardiac MRI—0
SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs—0
Testing the Segment Anything Model on radiology data—0
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI—0
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma—0
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
Transfer Learning with Edge Attention for Prostate MRI Segmentation—0
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network—0
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation—0
Just-Enough Interaction Approach to Knee MRI Segmentation: Data from the Osteoarthritis Initiative—0
Knowledge Distillation for Adaptive MRI Prostate Segmentation Based on Limit-Trained Multi-Teacher Models—0
Learning Robust Medical Image Segmentation from Multi-source Annotations—0
Learning-Based Cost Functions for 3D and 4D Multi-Surface Multi-Object Segmentation of Knee MRI: Data from the Osteoarthritis Initiative—0
Leveraging 3D Information in Unsupervised Brain MRI Segmentation—0
Leveraging multi-view data without annotations for prostate MRI segmentation: A contrastive approach—0
Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base—0
Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons—0
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation—0
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation—0
MRAnnotator: multi-Anatomy and many-Sequence MRI segmentation of 44 structures—0
MRI Cross-Modality NeuroImage-to-NeuroImage Translation—0
Multi-Contrast MRI Segmentation Trained on Synthetic Images—0
Multi-stream 3D FCN with Multi-scale Deep Supervision for Multi-modality Isointense Infant Brain MR Image Segmentation—0
Isointense Infant Brain Segmentation with a Hyper-dense Connected Convolutional Neural NetworkCode0
Full-Head Segmentation of MRI with Abnormal Brain Anatomy: Model and Data ReleaseCode0
Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art PerformanceCode0
QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality PredictionCode0
A Field of Experts Prior for Adapting Neural Networks at Test TimeCode0
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain AdaptationCode0
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