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"

43 / 2,593 papers shown

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Automatic Myocardial Segmentation by Using A Deep Learning Network in Cardiac MRI

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Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection

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Iterative Deep Convolutional Encoder-Decoder Network for Medical Image SegmentationAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

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Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images

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2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation

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Liver lesion segmentation informed by joint liver segmentation

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Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks

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Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

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Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations

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On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

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186

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DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

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...

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452

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Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks

Lucas Fidon

Wenqi Li

Luis C. Garcia-Peraza-Herrera

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ToolNet: Holistically-Nested Real-Time Segmentation of Robotic Surgical Tools

Luis C. Garcia-Peraza-Herrera

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Danail Stoyanov

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175

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Scalable multimodal convolutional networks for brain tumour segmentation

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Luis C. Garcia-Peraza-Herrera

J. Ekanayake

N. Kitchen

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153

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Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans

168

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Tversky loss function for image segmentation using 3D fully convolutional deep networks

S. Salehi

Deniz Erdogmus

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Superhuman Accuracy on the SNEMI3D Connectomics Challenge

196

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Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks

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Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge

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Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization

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181

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Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks

Guang Yang

174

761

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Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data

Nassir Navab

156

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02 May 2017

Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method

Xiao Han

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24 Apr 2017

Hierarchical 3D fully convolutional networks for multi-organ segmentation

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135

21 Apr 2017

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks

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ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network

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246

562

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Semi-Supervised Deep Learning for Fully Convolutional Networks

Christoph Baur

Shadi Albarqouni

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Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features

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Ghassan Hamarneh

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Globally Optimal Gradient Descent for a ConvNet with Gaussian InputsInternational Conference on Machine Learning (ICML), 2017

Alon Brutzkus

Amir Globerson

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Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks

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242

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A Survey on Deep Learning in Medical Image Analysis

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Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation

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Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation

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CNN-based Segmentation of Medical Imaging Data

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A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans

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255

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3D Fully Convolutional Network for Vehicle Detection in Point Cloud

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OctNet: Learning Deep 3D Representations at High Resolutions

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The Importance of Skip Connections in Biomedical Image Segmentation

M. Drozdzal

Eugene Vorontsov

Gabriel Chartrand

Samuel Kadoury

C. Pal

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234

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Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound

Fausto Milletari

...

Nassir Navab

405

371

26 Jan 2016