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1606.06650
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3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
21 June 2016
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV
3DPC
SSeg
3DH
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Papers citing
"3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation"
50 / 1,728 papers shown
Title
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Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans
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Le Lu
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Milan Sonka
Jianhua Yao
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Chichen Fu
Soonam Lee
D. J. Ho
Shuo Han
P. Salama
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Edward J. Delp
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22 Jan 2018
Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging
J. Bernal
Kaisar Kushibar
Mariano Cabezas
Sergi Valverde
A. Oliver
Xavier Llado
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19 Jan 2018
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks
Chen Shen
H. Roth
H. Oda
M. Oda
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K. Mori
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18 Jan 2018
Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR
Mohsen Ghafoorian
Jonas Teuwen
R. Manniesing
F.‐E. Leeuw
Bram van Ginneken
N. Karssemeijer
B. Platel
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15 Jan 2018
End-to-end detection-segmentation network with ROI convolution
Zichen Zhang
Min Tang
Dana Cobzas
D. Zonoobi
Martin Jägersand
Jacob L. Jaremko
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ObjD
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08 Jan 2018
Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models
Mohammad Haft-Javaherian
Linjing Fang
V. Muse
C. Schaffer
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M. Sabuncu
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03 Jan 2018
Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning
Yang Nan
Gianmarc Coppola
Q. Liang
Kunlin Zou
Wei Sun
Dan Zhang
Yaonan Wang
Guanzhen Yu
23
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20 Dec 2017
Automatic Renal Segmentation in DCE-MRI using Convolutional Neural Networks
M. Haghighi
Simon K. Warfield
Sila Kurugol
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19 Dec 2017
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
Jose Dolz
Christian Desrosiers
Li Wang
Jing Yuan
D. Shen
Ismail Ben Ayed
3DV
45
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14 Dec 2017
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
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Kaisar Kushibar
Daniel S. Asfaw
Sergi Valverde
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Robert Martí
Xavier Llado
19
349
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11 Dec 2017
Beyond the Pixel-Wise Loss for Topology-Aware Delineation
Agata Mosinska
Pablo Márquez-Neila
Mateusz Koziñski
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06 Dec 2017
Fully Automatic Segmentation of Lumbar Vertebrae from CT Images using Cascaded 3D Fully Convolutional Networks
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G. Zeng
Guoyan Zheng
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InverseNet: Solving Inverse Problems with Splitting Networks
Kai Fan
Qinglai Wei
Wenlin Wang
Amit Chakraborty
Katherine A. Heller
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01 Dec 2017
A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation
Zhuotun Zhu
Yingda Xia
Wei-Che Shen
Elliot K. Fishman
Alan Yuille
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3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
Benjamin Graham
Martin Engelcke
L. V. D. van der Maaten
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28 Nov 2017
Multi-stream 3D FCN with Multi-scale Deep Supervision for Multi-modality Isointense Infant Brain MR Image Segmentation
G. Zeng
Guoyan Zheng
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28 Nov 2017
Visual Feature Attribution using Wasserstein GANs
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3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes
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Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network
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Segmenting Brain Tumors with Symmetry
Hejia Zhang
Xia Zhu
Theodore L. Willke
22
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17 Nov 2017
Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks
H. Roth
M. Oda
N. Shimizu
H. Oda
Y. Hayashi
T. Kitasaka
M. Fujiwara
K. Misawa
K. Mori
MedIm
11
45
0
17 Nov 2017
3D Randomized Connection Network with Graph-based Label Inference
Siqi Bao
Pei Wang
Tony C. W. Mok
Albert C. S. Chung
3DV
28
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11 Nov 2017
Almost instant brain atlas segmentation for large-scale studies
A. Fedorov
Eswar Damaraju
Vince D. Calhoun
Sergey Plis
19
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01 Nov 2017
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation
Min Tang
Zichen Zhang
Dana Cobzas
Martin Jägersand
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37
22
0
31 Oct 2017
Deep Learning and Conditional Random Fields-based Depth Estimation and Topographical Reconstruction from Conventional Endoscopy
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T. V. Spina
Johannes Stegmaier
A. X. Falcão
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19
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26 Oct 2017
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning
S. Salehi
Seyed Raein Hashemi
C. Velasco-Annis
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Deniz Erdogmus
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14
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25 Oct 2017
Towards Automatic Abdominal Multi-Organ Segmentation in Dual Energy CT using Cascaded 3D Fully Convolutional Network
Shuqing Chen
H. Roth
Sabrina Dorn
M. May
Alexander Cavallaro
M. Lell
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15 Oct 2017
Single-image Tomography: 3D Volumes from 2D Cranial X-Rays
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14
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Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network
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Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning
Guotai Wang
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Maria A. Zuluaga
R. Pratt
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H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
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Xiaojuan Qi
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Chi-Wing Fu
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An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation
Christian F. Baumgartner
Lisa M. Koch
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NiftyNet: a deep-learning platform for medical imaging
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3D Densely Convolutional Networks for Volumetric Segmentation
T. Bui
Jitae Shin
Taesup Moon
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Large Scale Image Segmentation with Structured Loss based Deep Learning for Connectome Reconstruction
Jan Funke
Fabian Tschopp
William Grisaitis
Arlo Sheridan
Chandan Singh
S. Saalfeld
Srinivas C. Turaga
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Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation
Andrew Beers
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James M. Brown
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C. P. Mammen
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Medical Image Analysis using Convolutional Neural Networks: A Review
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Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic Loss
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Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks
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Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) For Brain Matter Segmentation
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Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
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Fuyong Xing
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24 Aug 2017
Deep Learning for Medical Image Analysis
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Christoph Meinel
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Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets
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Jie-Zhi Cheng
Qi Dou
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2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation
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Sasank Chilamkurthy
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Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks
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Derek C. Rose
Matthew R. Eicholtz
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Stanislav S Zakharenko
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Pathological OCT Retinal Layer Segmentation using Branch Residual U-shape Networks
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