V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

15 June 2016

Fausto Milletari

Nassir Navab

Seyed-Ahmad Ahmadi

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Papers citing "V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation"

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Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional Neural Networks

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Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation

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Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks

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$3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation$

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Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration

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Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal AdenocarcinomaInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2018

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3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor SegmentationIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2018

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Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI

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Automatic segmentation of prostate zones

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Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes

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VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-voxel Discrimination

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Autoencoders for Multi-Label Prostate MR Segmentation

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Contextual Hourglass Networks for Segmentation and Density Estimation

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Shape Robust Text Detection with Progressive Scale Expansion Network

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A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation

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Fully Automated Organ Segmentation in Male Pelvic CT Images

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Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks

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208

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Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture

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A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols

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Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks

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192

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Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss

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Joint Shape Representation and Classification for Detecting PDAC

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Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images

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Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning

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Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D UltrasoundInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2018

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Select, Attend, and Transfer: Light, Learnable Skip Connections

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264

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190

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