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Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain
  Lesion Segmentation

Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation

18 March 2016
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
    MedIm
    3DV
ArXivPDFHTML

Papers citing "Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation"

50 / 592 papers shown
Title
Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor
  Detection
Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection
Changhee Han
L. Rundo
Ryosuke Araki
Yujiro Furukawa
G. Mauri
Hideki Nakayama
Hideaki Hayashi
MedIm
8
91
0
29 Mar 2019
Deep Radiomics for Brain Tumor Detection and Classification from
  Multi-Sequence MRI
Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI
Subhashis Banerjee
Sushmita Mitra
F. Masulli
S. Rovetta
MedIm
17
41
0
21 Mar 2019
Deep Learning Enables Automatic Detection and Segmentation of Brain
  Metastases on Multi-Sequence MRI
Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI
E. Grøvik
Darvin Yi
Michael Iv
E. Tong
D. Rubin
Greg Zaharchuk
MedIm
8
207
0
18 Mar 2019
Unsupervised Medical Image Translation Using Cycle-MedGAN
Unsupervised Medical Image Translation Using Cycle-MedGAN
Karim Armanious
Chenming Jiang
Sherif Abdulatif
Thomas Kustner
S. Gatidis
Bin Yang
MedIm
13
113
0
08 Mar 2019
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Zaiwang Gu
Jun Cheng
Huazhu Fu
Kang Zhou
Huaying Hao
Yitian Zhao
Tianyang Zhang
Shenghua Gao
Jiang-Dong Liu
SSeg
33
1,614
0
07 Mar 2019
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher
  Model
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model
Wenhui Cui
Yanling Liu
Yuxing Li
Meng-Hao Guo
Yiming Li
Xiuli Li
Tianle Wang
Xiangzhu Zeng
Chuyang Ye
26
174
0
04 Mar 2019
Data augmentation using learned transformations for one-shot medical
  image segmentation
Data augmentation using learned transformations for one-shot medical image segmentation
Amy Zhao
Guha Balakrishnan
F. Durand
John Guttag
Adrian Dalca
OOD
MedIm
19
394
0
25 Feb 2019
Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image
  Segmentation
Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation
Qikui Zhu
Bo Du
Pingkun Yan
36
157
0
21 Feb 2019
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts
  Framework
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework
Lei Li
Fuping Wu
Guang Yang
Lingchao Xu
T. Wong
R. Mohiaddin
D. Firmin
J. Keegan
Xiahai Zhuang
MedIm
14
69
0
21 Feb 2019
Accurate Automatic Segmentation of Amygdala Subnuclei and Modeling of
  Uncertainty via Bayesian Fully Convolutional Neural Network
Accurate Automatic Segmentation of Amygdala Subnuclei and Modeling of Uncertainty via Bayesian Fully Convolutional Neural Network
Yilin Liu
Gengyan Zhao
Brendon M. Nacewicz
N. Adluru
Gregory R. Kirk
P. Ferrazzano
Martin Styner
Andrew L. Alexander
21
6
0
19 Feb 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and
  Future Directions
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
29
200
0
15 Feb 2019
SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A novel
  approach to train Convolutional Neural Networks on lung CT scans using binary
  labels only
SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A novel approach to train Convolutional Neural Networks on lung CT scans using binary labels only
M. Zusag
S. Desai
M. D. Paolo
T. Semple
Anand Shah
Elsa D. Angelini
16
4
0
06 Feb 2019
Technical Considerations for Semantic Segmentation in MRI using
  Convolutional Neural Networks
Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks
Arjun D Desai
G. Gold
B. Hargreaves
Akshay S. Chaudhari
19
30
0
05 Feb 2019
Cross-modality (CT-MRI) prior augmented deep learning for robust lung
  tumor segmentation from small MR datasets
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets
Jue Jiang
Yu-chi Hu
N. Tyagi
Pengpeng Zhang
A. Rimner
Joseph O. Deasy
Harini Veeraraghavan
31
53
0
31 Jan 2019
Automated brain extraction of multi-sequence MRI using artificial neural
  networks
Automated brain extraction of multi-sequence MRI using artificial neural networks
Fabian Isensee
Marianne Schell
I. Tursunova
G. Brugnara
D. Bonekamp
...
S. Heiland
Wolfgang Wick
Martin Bendszus
Klaus Hermann Maier-Hein
Philipp Kickingereder
22
479
0
31 Jan 2019
Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion
  Segmentation
Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation
Eytan Kats
Jacob Goldberger
H. Greenspan
15
45
0
26 Jan 2019
Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder
  U-NET
Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET
Mostafa Salem
Sergi Valverde
Mariano Cabezas
D. Pareto
A. Oliver
J. Salvi
À. Rovira
Xavier Llado
MedIm
22
61
0
17 Jan 2019
Brain segmentation based on multi-atlas guided 3D fully convolutional
  network ensembles
Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles
Jiong Wu
Xiaoying Tang
16
35
0
05 Jan 2019
Cascaded V-Net using ROI masks for brain tumor segmentation
Cascaded V-Net using ROI masks for brain tumor segmentation
Adrià Casamitjana
Hugo J. Kuijf
Bjoern H. Menze
M. Reyes
Verónica Vilaplana
22
196
0
30 Dec 2018
Monte-Carlo Sampling applied to Multiple Instance Learning for
  Histological Image Classification
Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification
Marc Combalia
João Paulo Papa
25
81
0
30 Dec 2018
MMFNet: A Multi-modality MRI Fusion Network for Segmentation of
  Nasopharyngeal Carcinoma
MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma
Huai Chen
Yuxiao Qi
Yong Yin
TengXiang Li
Xiaoqing Liu
Xiuli Li
G. Gong
Lisheng Wang
MedIm
22
70
0
25 Dec 2018
Holistic Decomposition Convolution for Effective Semantic Segmentation
  of 3D MR Images
Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images
G. Zeng
Guoyan Zheng
19
3
0
24 Dec 2018
Boundary loss for highly unbalanced segmentation
Boundary loss for highly unbalanced segmentation
H. Kervadec
Jihene Bouchtiba
Christian Desrosiers
Eric Granger
Jose Dolz
Ismail Ben Ayed
13
475
0
17 Dec 2018
Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL
  Segmentation using Deep CNN
Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN
H. P. Do
Yi Guo
A. Yoon
K. Nayak
18
22
0
10 Dec 2018
Deep Learning with Mixed Supervision for Brain Tumor Segmentation
Deep Learning with Mixed Supervision for Brain Tumor Segmentation
Pawel Mlynarski
H. Delingette
A. Criminisi
N. Ayache
14
121
0
10 Dec 2018
Prediction of final infarct volume from native CT perfusion and
  treatment parameters using deep learning
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning
D. Robben
A. Boers
H. Marquering
L. Langezaal
Y. Roos
...
D. Dippel
C. Majoie
A. van der Lugt
Robin Lemmens
P. Suetens
12
72
0
06 Dec 2018
SurfConv: Bridging 3D and 2D Convolution for RGBD Images
SurfConv: Bridging 3D and 2D Convolution for RGBD Images
Hang Chu
Wei-Chiu Ma
Kaustav Kundu
R. Urtasun
Sanja Fidler
MDE
29
24
0
04 Dec 2018
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall
  Survival Prediction using Radiomic Features
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features
Xue Feng
Nicholas J. Tustison
C. Meyer
48
224
0
03 Dec 2018
SUSAN: Segment Unannotated image Structure using Adversarial Network
SUSAN: Segment Unannotated image Structure using Adversarial Network
Fang Liu
GAN
MedIm
44
56
0
03 Dec 2018
Automatic Liver Segmentation with Adversarial Loss and Convolutional
  Neural Network
Automatic Liver Segmentation with Adversarial Loss and Convolutional Neural Network
Bora Baydar
Savas Ozkan
G. Akar
GAN
MedIm
18
0
0
28 Nov 2018
GANsfer Learning: Combining labelled and unlabelled data for GAN based
  data augmentation
GANsfer Learning: Combining labelled and unlabelled data for GAN based data augmentation
Christopher Bowles
R. Gunn
A. Hammers
Daniel Rueckert
GAN
MedIm
21
21
0
26 Nov 2018
An overview of deep learning in medical imaging focusing on MRI
An overview of deep learning in medical imaging focusing on MRI
A. Lundervold
A. Lundervold
OOD
17
1,608
0
25 Nov 2018
IVD-Net: Intervertebral disc localization and segmentation in MRI with a
  multi-modal UNet
IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet
Jose Dolz
Christian Desrosiers
Ismail Ben Ayed
28
111
0
19 Nov 2018
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural
  Network for the Automatic 3D Segmentation of Lung Lesions
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions
Bo Zhou
Randolph Crawford
B. Dogdas
G. Goldmacher
Antong Chen
21
13
0
11 Nov 2018
An End-to-end Approach to Semantic Segmentation with 3D CNN and
  Posterior-CRF in Medical Images
An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images
Shuai Chen
Marleen de Bruijne
MedIm
20
11
0
08 Nov 2018
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine
  Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN
Le Zhang
Ali Gooya
Marco Pereañez
B. Dong
Stefan K. Piechnik
M. Horowitz
S. Petersen
Alejandro F. Frangi
22
28
0
06 Nov 2018
Towards continual learning in medical imaging
Towards continual learning in medical imaging
Chaitanya Baweja
Ben Glocker
Konstantinos Kamnitsas
CLL
26
57
0
06 Nov 2018
Ischemic Stroke Lesion Segmentation in CT Perfusion Scans using Pyramid
  Pooling and Focal Loss
Ischemic Stroke Lesion Segmentation in CT Perfusion Scans using Pyramid Pooling and Focal Loss
S. M. Abulnaga
Jonathan Rubin
29
50
0
02 Nov 2018
Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst
  Homomorphic CNN on Encrypted Data with GPUs
Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst Homomorphic CNN on Encrypted Data with GPUs
Ahmad Al Badawi
Jin Chao
Jie Lin
Chan Fook Mun
Sim Jun Jie
B. Tan
Xiao Nan
Khin Mi Mi Aung
V. Chandrasekhar
21
64
0
02 Nov 2018
Acute and sub-acute stroke lesion segmentation from multimodal MRI
Acute and sub-acute stroke lesion segmentation from multimodal MRI
Albert Clérigues
Sergi Valverde
J. Bernal
J. Freixenet
A. Oliver
Xavier Llado
27
6
0
31 Oct 2018
3D MRI brain tumor segmentation using autoencoder regularization
3D MRI brain tumor segmentation using autoencoder regularization
Andriy Myronenko
29
1,028
0
27 Oct 2018
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation
Ryan Sherman
27
4
0
27 Oct 2018
GAN Augmentation: Augmenting Training Data using Generative Adversarial
  Networks
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks
Christopher Bowles
Liang Chen
Ricardo Guerrero
P. Bentley
R. Gunn
A. Hammers
D. A. Dickie
M. V. Valdés Hernández
Joanna M. Wardlaw
Daniel Rueckert
GAN
MedIm
21
422
0
25 Oct 2018
Machine Learning Algorithms for Classification of Microcirculation
  Images from Septic and Non-Septic Patients
Machine Learning Algorithms for Classification of Microcirculation Images from Septic and Non-Septic Patients
Perikumar Javia
Lukasz Tulczyjew
Michal Marcinkiewicz
J. Nalepa
6
13
0
24 Oct 2018
Generative adversarial networks and adversarial methods in biomedical
  image analysis
Generative adversarial networks and adversarial methods in biomedical image analysis
J. Wolterink
Konstantinos Kamnitsas
C. Ledig
Ivana Išgum
MedIm
GAN
30
21
0
24 Oct 2018
AUNet: Attention-guided dense-upsampling networks for breast mass
  segmentation in whole mammograms
AUNet: Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms
Hui Sun
Cheng Li
Boqiang Liu
Hairong Zheng
David Dagan Feng
Shanshan Wang
27
120
0
24 Oct 2018
Brain Tumor Image Retrieval via Multitask Learning
Brain Tumor Image Retrieval via Multitask Learning
Maxim Pisov
Gleb Makarchuk
V. Kostjuchenko
A. Dalechina
A. Golanov
Mikhail Belyaev
6
7
0
22 Oct 2018
Automatic Brain Tumor Segmentation using Convolutional Neural Networks
  with Test-Time Augmentation
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation
Guotai Wang
Wenqi Li
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
16
151
0
18 Oct 2018
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in
  Multiple Image Modalities
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities
Jose Dolz
Ismail Ben Ayed
Christian Desrosiers
15
100
0
16 Oct 2018
A Novel Domain Adaptation Framework for Medical Image Segmentation
A Novel Domain Adaptation Framework for Medical Image Segmentation
A. Gholami
Shashank Subramanian
Varun Shenoy
Naveen Himthani
Xiangyu Yue
Sicheng Zhao
Peter H. Jin
George Biros
Kurt Keutzer
MedIm
32
50
0
11 Oct 2018
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