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MRI segmentation

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Showing 126–150 of 177 papers

TitleStatusHype
Unsupervised Deep Learning for Bayesian Brain 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
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
ν-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters—0
No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-k Patch Sampling—0
Parotid Gland MRI Segmentation Based on Swin-Unet and Multimodal Images—0
Pathological MRI Segmentation by Synthetic Pathological Data Generation in Fetuses and Neonates—0
Pelvic floor MRI segmentation based on semi-supervised deep learning—0
Isointense Infant Brain Segmentation with a Hyper-dense Connected Convolutional Neural NetworkCode0
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain AdaptationCode0
QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality PredictionCode0
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