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Brain Tumor Segmentation with Deep Neural Networks
v1v2v3 (latest)

Brain Tumor Segmentation with Deep Neural Networks

13 May 2015
Mohammad Havaei
Axel Davy
David Warde-Farley
A. Biard
Aaron Courville
Yoshua Bengio
C. Pal
Pierre-Marc Jodoin
Hugo Larochelle
    3DV
ArXiv (abs)PDFHTML

Papers citing "Brain Tumor Segmentation with Deep Neural Networks"

50 / 359 papers shown
Title
Generation of Multimodal Justification Using Visual Word Constraint
  Model for Explainable Computer-Aided Diagnosis
Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis
Hyebin Lee
S. T. Kim
Yong Man Ro
MedIm
123
44
0
10 Jun 2019
Association of genomic subtypes of lower-grade gliomas with shape
  features automatically extracted by a deep learning algorithm
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm
Mateusz Buda
Ashirbani Saha
Maciej A. Mazurowski
174
301
0
09 Jun 2019
Learning Shape Representation on Sparse Point Clouds for Volumetric
  Image Segmentation
Learning Shape Representation on Sparse Point Clouds for Volumetric Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
F. Balsiger
Yannick Soom
Olivier Scheidegger
M. Reyes
3DPC
104
19
0
05 Jun 2019
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical
  Imaging
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical ImagingExpert systems with applications (ESWA), 2019
F. Gao
H. Yoon
Teresa Wu
Xianghua Chu
151
95
0
05 Jun 2019
One-pass Multi-task Networks with Cross-task Guided Attention for Brain
  Tumor Segmentation
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor SegmentationIEEE Transactions on Image Processing (TIP), 2019
Chenhong Zhou
Changxing Ding
Xinchao Wang
Zhentai Lu
Dacheng Tao
171
191
0
05 Jun 2019
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for
  Secure DNN Inference
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN InferenceInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Peichen Xie
Bingzhe Wu
Guangyu Sun
BDLFedML
117
35
0
03 Jun 2019
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image
  Augmentation for Tumor Detection
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor DetectionIEEE Access (IEEE Access), 2019
Changhee Han
L. Rundo
Ryosuke Araki
Yudai Nagano
Yujiro Furukawa
G. Mauri
Hideki Nakayama
Hideaki Hayashi
MedIm
175
180
0
31 May 2019
A multi-path 2.5 dimensional convolutional neural network system for
  segmenting stroke lesions in brain MRI images
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images
Yunzhe Xue
F. Farhat
Olga Boukrina
A. Barrett
J. Binder
Usman Roshan
William W. Graves
MedIm
152
68
0
26 May 2019
Dual-branch residual network for lung nodule segmentation
Dual-branch residual network for lung nodule segmentationApplied Soft Computing (Appl Soft Comput), 2019
Haichao Cao
Hong Liu
E. Song
C. Hung
Guangzhi Ma
Xiangyang Xu
Renchao Jin
Jianguo Lu
105
123
0
21 May 2019
A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent
  Advances and New Frontiers
A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers
Xiang Zhang
Lina Yao
Xianzhi Wang
Jessica J. M. Monaghan
David Mcalpine
Yu Zhang
3DV
260
144
0
10 May 2019
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via
  Genetic Algorithm
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic AlgorithmComputers & security (Comput. Secur.), 2019
Jinyin Chen
Mengmeng Su
Shijing Shen
Hui Xiong
Haibin Zheng
AAML
189
71
0
01 May 2019
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative
  Adversarial Network
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial NetworkIEEE Transactions on Medical Imaging (TMI), 2019
Anmol Sharma
Ghassan Hamarneh
MedImGAN
307
223
0
27 Apr 2019
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for
  prostate zonal segmentation of multi-institutional MRI datasets
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
L. Rundo
Changhee Han
Yudai Nagano
Jin Zhang
Ryuichiro Hataya
...
M. Gilardi
Salvatore Vitabile
G. Mauri
Hideki Nakayama
P. Cazzaniga
177
254
0
17 Apr 2019
Brain Tumor Segmentation on MRI with Missing Modalities
Brain Tumor Segmentation on MRI with Missing Modalities
Yan Shen
Mingchen Gao
152
94
0
15 Apr 2019
Label Super Resolution with Inter-Instance Loss
Label Super Resolution with Inter-Instance Loss
Maozheng Zhao
L. Hou
H. Le
Dimitris Samaras
Nebojsa Jojic
...
Tahsin M. Kurc
Rajarsi R. Gupta
Kolya Malkin
S. Kenneth
Joel H. Saltz
SupR
129
1
0
09 Apr 2019
3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in
  MRI
3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI
Chen Chen
Xiaopeng Liu
Meng Ding
Junfeng Zheng
Jiangyun Li
MedIm
268
162
0
06 Apr 2019
Radiotherapy Target Contouring with Convolutional Gated Graph Neural
  Network
Radiotherapy Target Contouring with Convolutional Gated Graph Neural Network
Chun-Hung Chao
Y. Cheng
Hsien-Tzu Cheng
Chi-Wen Huang
T. Ho
C. Tseng
Le Lu
Min Sun
MedIm
81
4
0
05 Apr 2019
Thickened 2D Networks for Efficient 3D Medical Image Segmentation
Thickened 2D Networks for Efficient 3D Medical Image Segmentation
Qihang Yu
Yingda Xia
Lingxi Xie
Elliot K. Fishman
Alan Yuille
3DPCMedIm
173
30
0
02 Apr 2019
Brain Tissue Segmentation Using NeuroNet With Different Pre-processing
  Techniques
Brain Tissue Segmentation Using NeuroNet With Different Pre-processing Techniques
F. I. Tushar
Basel Alyafi
Md. Kamrul Hasan
Lavsen Dahal
105
11
0
29 Mar 2019
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
149
96
0
29 Mar 2019
Radiological images and machine learning: trends, perspectives, and
  prospects
Radiological images and machine learning: trends, perspectives, and prospects
Zhenwei Zhang
E. Sejdić
LM&MAMedImAI4CE
112
180
0
27 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
79
50
0
21 Mar 2019
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical
  Segmentation
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
Adrian Dalca
John Guttag
M. Sabuncu
MedImSSeg
163
155
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 ModelInformation Processing in Medical Imaging (IPMI), 2019
Wenhui Cui
Yanling Liu
Yuxing Li
Meng-Hao Guo
Yiming Li
Xiuli Li
Tianle Wang
Xiangzhu Zeng
Chuyang Ye
248
199
0
04 Mar 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
151
228
0
15 Feb 2019
Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using
  Machine Learning and Automatically Inferred Phenotype Profiles
Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles
Xingzhi Yue
Neofytos Dimitriou
Ognjen Arandjelovic
131
42
0
10 Feb 2019
Automated brain extraction of multi-sequence MRI using artificial neural
  networks
Automated brain extraction of multi-sequence MRI using artificial neural networksHuman Brain Mapping (HBM), 2019
Hyunjin Park
Marianne Schell
I. Tursunova
G. Brugnara
D. Bonekamp
...
S. Heiland
Wolfgang Wick
Martin Bendszus
Klaus Hermann Maier-Hein
Philipp Kickingereder
169
583
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
120
50
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
92
67
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
162
37
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 Menze
M. Reyes
Verónica Vilaplana
115
199
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
274
72
0
25 Dec 2018
Feature-Wise Bias Amplification
Feature-Wise Bias Amplification
Klas Leino
Emily Black
Matt Fredrikson
S. Sen
Anupam Datta
FaML
210
50
0
21 Dec 2018
Fast and Accurate 3D Medical Image Segmentation with Data-swapping
  Method
Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method
Haruki Imai
Samuel Matzek
Tung D. Le
Yasushi Negishi
K. Kawachiya
MedIm
138
10
0
19 Dec 2018
Boundary loss for highly unbalanced segmentation
Boundary loss for highly unbalanced segmentation
H. Kervadec
Jihene Bouchtiba
Christian Desrosiers
Mohammadhadi Shateri
Jose Dolz
Ismail Ben Ayed
282
584
0
17 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
97
235
0
03 Dec 2018
Elastic Boundary Projection for 3D Medical Image Segmentation
Elastic Boundary Projection for 3D Medical Image Segmentation
Tianwei Ni
Lingxi Xie
Huangjie Zheng
Elliot K. Fishman
Alan Yuille
162
35
0
03 Dec 2018
Phase Collaborative Network for Two-Phase Medical Image Segmentation
Phase Collaborative Network for Two-Phase Medical Image Segmentation
Huangjie Zheng
Lingxi Xie
Tianwei Ni
Ya Zhang
Yanfeng Wang
Qi Tian
Elliot K. Fishman
Alan Yuille
MedIm
157
6
0
28 Nov 2018
An overview of deep learning in medical imaging focusing on MRI
An overview of deep learning in medical imaging focusing on MRIZeitschrift für Medizinische Physik (Z Med Phys), 2018
A. Lundervold
A. Lundervold
OOD
274
1,780
0
25 Nov 2018
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion
  Segmentation
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion SegmentationNeuroImage (NeuroImage), 2018
S. Aslani
Michael Dayan
Stéphane Doncieux
Massimo Filippi
Vittorio Murino
Maria A Rocca
Diego Sona
182
157
0
07 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
122
6
0
31 Oct 2018
Shape and Margin-Aware Lung Nodule Classification in Low-dose CT Images
  via Soft Activation Mapping
Shape and Margin-Aware Lung Nodule Classification in Low-dose CT Images via Soft Activation Mapping
Yiming Lei
Yukun Tian
Hongming Shan
Junping Zhang
Ge Wang
Mannudeep K. Kalra
136
84
0
30 Oct 2018
Unsupervised Data Selection for Supervised Learning
Gabriele Valvano
Andrea Leo
D. Latta
N. Martini
Gianmarco Santini
D. Chiappino
E. Ricciardi
92
1
0
29 Oct 2018
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation
Ryan Sherman
104
4
0
27 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 Vercauteren
94
166
0
18 Oct 2018
Bottleneck Supervised U-Net for Pixel-wise Liver and Tumor Segmentation
Bottleneck Supervised U-Net for Pixel-wise Liver and Tumor Segmentation
Song Li
Geoffrey Tso
SSeg
156
18
0
16 Oct 2018
Deep Recurrent Level Set for Segmenting Brain Tumors
Deep Recurrent Level Set for Segmenting Brain Tumors
T. Hoang
Raajitha Gummadi
Marios Savvides
3DV
98
36
0
10 Oct 2018
A Deep Learning Framework for Single-Sided Sound Speed Inversion in
  Medical Ultrasound
A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound
Micha Feigin-Almon
Daniel Freedman
B. Anthony
SyDaMedIm
417
91
0
30 Sep 2018
Exclusive Independent Probability Estimation using Deep 3D Fully
  Convolutional DenseNets: Application to IsoIntense Infant Brain MRI
  Segmentation
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation
Seyed Raein Hashemi
S. Prabhu
Simon K. Warfield
Ali Gholipour
3DV
124
6
0
21 Sep 2018
Brain Tumor Segmentation Using Deep Learning by Type Specific Sorting of
  Images
Brain Tumor Segmentation Using Deep Learning by Type Specific Sorting of Images
Zahra Sobhaninia
Safiyeh Rezaei
A. Noroozi
Mehdi Ahmadi
Hamidreza Zarrabi
N. Karimi
Ali Emami
S. Samavi
83
79
0
20 Sep 2018
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