ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1505.03540
  4. Cited By
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
Anatomical labeling of brain CT scan anomalies using multi-context
  nearest neighbor relation networks
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks
Srikrishna Varadarajan
Muktabh Mayank Srivastava
Monika Grewal
Pulkit Kumar
146
0
0
25 Oct 2017
A systematic study of the class imbalance problem in convolutional
  neural networks
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda
A. Maki
Maciej A. Mazurowski
626
2,706
0
15 Oct 2017
Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images
Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images
Heran Yang
Jian Sun
Huibin Li
Lisheng Wang
Zongben Xu
122
30
0
27 Sep 2017
Recurrent Saliency Transformation Network: Incorporating Multi-Stage
  Visual Cues for Small Organ Segmentation
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation
Qihang Yu
Lingxi Xie
Yan Wang
Yuyin Zhou
Elliot K. Fishman
Alan Yuille
MedIm
200
3
0
13 Sep 2017
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation
Andrew Beers
Ken Chang
James M. Brown
Emmett Sartor
C. P. Mammen
Elizabeth R Gerstner
Bruce Rosen
Jayashree Kalpathy-Cramer
133
53
0
09 Sep 2017
Dynamic Multiscale Tree Learning Using Ensemble Strong Classifiers for
  Multi-label Segmentation of Medical Images with Lesions
Dynamic Multiscale Tree Learning Using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions
Samya Amiri
Mohamed Ali Mahjoub
I. Rekik
67
4
0
05 Sep 2017
Medical Image Analysis using Convolutional Neural Networks: A Review
Medical Image Analysis using Convolutional Neural Networks: A Review
Syed Muhammad Anwar
Muhammad Majid
A. Qayyum
Muhammad Awais
M. Alnowami
Muhammad Khurram Khan
MedIm
270
1,191
0
04 Sep 2017
Automatic Brain Tumor Segmentation using Cascaded Anisotropic
  Convolutional Neural Networks
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks
Guotai Wang
Wenqi Li
Sebastien Ourselin
Tom Vercauteren
205
524
0
01 Sep 2017
Texture and Structure Incorporated ScatterNet Hybrid Deep Learning
  Network (TS-SHDL) For Brain Matter Segmentation
Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) For Brain Matter Segmentation
Amarjot Singh
Devamanyu Hazarika
Aniruddha Bhattacharya
157
11
0
30 Aug 2017
Interpretation of Mammogram and Chest X-Ray Reports Using Deep Neural
  Networks - Preliminary Results
Interpretation of Mammogram and Chest X-Ray Reports Using Deep Neural Networks - Preliminary Results
Hojjat Salehinejad
S. Valaee
Aren Mnatzakanian
T. Dowdell
Joseph Barfett
E. Colak
178
10
0
24 Aug 2017
Deep Neural Network with l2-norm Unit for Brain Lesions Detection
Deep Neural Network with l2-norm Unit for Brain Lesions Detection
Mina Rezaei
Haojin Yang
Christoph Meinel
MedIm
114
32
0
17 Aug 2017
Accurate Lung Segmentation via Network-Wise Training of Convolutional
  Networks
Accurate Lung Segmentation via Network-Wise Training of Convolutional Networks
Sangheum Hwang
Sunggyun Park
SSeg
148
49
0
02 Aug 2017
Segmentation of Glioma Tumors in Brain Using Deep Convolutional Neural
  Network
Segmentation of Glioma Tumors in Brain Using Deep Convolutional Neural Network
S. Hussain
Syed Muhammad Anwar
Muhammad Majid
115
220
0
01 Aug 2017
A Deep Learning Approach to Digitally Stain Optical Coherence Tomography
  Images of the Optic Nerve Head
A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head
S. Devalla
J. Mari
T. A. Tun
N. Strouthidis
Tin Aung
Alexandre Hoang Thiery
M. Girard
107
96
0
24 Jul 2017
Generalised Dice overlap as a deep learning loss function for highly
  unbalanced segmentations
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre
Wenqi Li
Tom Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
SSeg
395
2,490
0
11 Jul 2017
Adversarial training and dilated convolutions for brain MRI segmentation
Adversarial training and dilated convolutions for brain MRI segmentation
P. Moeskops
M. Veta
Maxime W. Lafarge
K. Eppenhof
J. Pluim
MedImGAN
211
136
0
11 Jul 2017
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image
  Segmentation
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
Guotai Wang
Maria A. Zuluaga
Wenqi Li
R. Pratt
P. Patel
...
T. Doel
A. David
Jan Deprest
Sebastien Ourselin
Tom Vercauteren
240
452
0
03 Jul 2017
Generalised Wasserstein Dice Score for Imbalanced Multi-class
  Segmentation using Holistic Convolutional Networks
Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks
Lucas Fidon
Wenqi Li
Luis C. Garcia-Peraza-Herrera
J. Ekanayake
N. Kitchen
Sebastien Ourselin
Tom Vercauteren
SSeg
311
161
0
03 Jul 2017
Scalable multimodal convolutional networks for brain tumour segmentation
Scalable multimodal convolutional networks for brain tumour segmentation
Lucas Fidon
Wenqi Li
Luis C. Garcia-Peraza-Herrera
J. Ekanayake
N. Kitchen
Sebastien Ourselin
Tom Vercauteren
153
64
0
25 Jun 2017
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans
Yuyin Zhou
Lingxi Xie
Elliot K. Fishman
Alan Yuille
OODMedIm
168
100
0
22 Jun 2017
Tversky loss function for image segmentation using 3D fully
  convolutional deep networks
Tversky loss function for image segmentation using 3D fully convolutional deep networks
S. Salehi
Deniz Erdogmus
Ali Gholipour
MedIm
350
1,008
0
18 Jun 2017
SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image
  Segmentation
SegAN: Adversarial Network with Multi-scale L1L_1L1​ Loss for Medical Image Segmentation
Yuan Xue
Tao Xu
Han Zhang
L. R. Long
Xiaolei Huang
MedImGAN
169
585
0
06 Jun 2017
Convolutional Neural Networks for Medical Image Analysis: Full Training
  or Fine Tuning?
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?IEEE Transactions on Medical Imaging (TMI), 2016
Nima Tajbakhsh
Jae Y. Shin
S. Gurudu
R. T. Hurst
Christopher B. Kendall
Michael B. Gotway
Jianming Liang
554
2,751
0
02 Jun 2017
3D Convolutional Neural Networks for Brain Tumor Segmentation: A
  Comparison of Multi-resolution Architectures
3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures
Adrià Casamitjana
Santi Puch
Asier Aduriz
Verónica Vilaplana
3DV
228
46
0
23 May 2017
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully
  Convolutional Networks
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks
Hao Dong
Guang Yang
Fangde Liu
Yuanhan Mo
Wenhan Luo
174
761
0
10 May 2017
Multimodal MRI brain tumor segmentation using random forests with
  features learned from fully convolutional neural network
Multimodal MRI brain tumor segmentation using random forests with features learned from fully convolutional neural network
Mohammadreza Soltaninejad
Lei Zhang
Tryphon Lambrou
Nigel Allinson
Xujiong Ye
68
21
0
26 Apr 2017
Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical
  Segmentation
Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation
Kuan-Lun Tseng
Yen-Liang Lin
Winston H. Hsu
Chung-Yang Huang
MedIm
146
166
0
25 Apr 2017
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation
  in Congenital Heart Disease
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease
J. Wolterink
T. Leiner
M. Viergever
Ivana Išgum
101
101
0
12 Apr 2017
Spectral Graph Convolutions for Population-based Disease Prediction
Spectral Graph Convolutions for Population-based Disease Prediction
Sarah Parisot
S. Ktena
Enzo Ferrante
M. J. Lee
Ricardo Guerrero
Ben Glocker
Daniel Rueckert
MedIm
138
235
0
08 Mar 2017
Auto-context Convolutional Neural Network (Auto-Net) for Brain
  Extraction in Magnetic Resonance Imaging
Auto-context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging
S. Salehi
Deniz Erdogmus
Ali Gholipour
3DV
130
6
0
06 Mar 2017
Perceiving and Reasoning About Liquids Using Fully Convolutional
  Networks
Perceiving and Reasoning About Liquids Using Fully Convolutional Networks
Connor Schenck
Dieter Fox
268
35
0
05 Mar 2017
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using
  Cascaded Fully Convolutional Neural Networks
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks
P. Christ
Florian Ettlinger
Felix Grün
M. Elshaer
Jana Lipkova
...
Julian Holch
Wieland Sommer
R. Braren
V. Heinemann
Bjoern Menze
MedIm
242
352
0
20 Feb 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
2.0K
12,254
0
19 Feb 2017
Learning Normalized Inputs for Iterative Estimation in Medical Image
  Segmentation
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation
M. Drozdzal
Gabriel Chartrand
Eugene Vorontsov
Lisa Di-Jorio
A. Tang
Adriana Romero
Yoshua Bengio
C. Pal
Samuel Kadoury
MedIm
144
223
0
16 Feb 2017
Improving automated multiple sclerosis lesion segmentation with a
  cascaded 3D convolutional neural network approach
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approachNeuroImage (NeuroImage), 2017
Sergi Valverde
Mariano Cabezas
E. Roura
Sandra González-Villá
D. Pareto
J. Vilanova
L. Ramió-Torrentá
À. Rovira
A. Oliver
Xavier Llado
112
373
0
16 Feb 2017
A deep learning model integrating FCNNs and CRFs for brain tumor
  segmentation
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
Xiaomei Zhao
Yihong Wu
Guidong Song
Zhenye Li
Yazhuo Zhang
Yong-Xian Fan
MedIm
288
701
0
15 Feb 2017
Fully Convolutional Architectures for Multi-Class Segmentation in Chest
  Radiographs
Fully Convolutional Architectures for Multi-Class Segmentation in Chest RadiographsIEEE Transactions on Medical Imaging (TMI), 2017
A. A. Novikov
Dimitrios Lenis
David Major
J. Hladůvka
M. Wimmer
Katja Bühler
SSeg
268
233
0
30 Jan 2017
CNN-based Segmentation of Medical Imaging Data
CNN-based Segmentation of Medical Imaging Data
Baris Kayalibay
Grady Jensen
Patrick van der Smagt
SSeg
377
458
0
11 Jan 2017
Unsupervised domain adaptation in brain lesion segmentation with
  adversarial networks
Unsupervised domain adaptation in brain lesion segmentation with adversarial networksInformation Processing in Medical Imaging (IPMI), 2016
Konstantinos Kamnitsas
Christian F. Baumgartner
C. Ledig
Virginia Newcombe
Joanna P. Simpson
...
David Menon
A. Nori
A. Criminisi
Daniel Rueckert
Ben Glocker
OODMedIm
196
519
0
28 Dec 2016
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
Yuyin Zhou
Lingxi Xie
Wei Shen
Yan Wang
Elliot K. Fishman
Alan Yuille
MedIm
255
36
0
25 Dec 2016
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise
  Labeling
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling
Spyros Gidaris
N. Komodakis
184
150
0
14 Dec 2016
3D fully convolutional networks for subcortical segmentation in MRI: A
  large-scale study
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
J. Dolz
Christian Desrosiers
Ismail Ben Ayed
3DV
210
378
0
12 Dec 2016
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
David Vázquez
Jorge Bernal
F. Sánchez
Gloria Fernández-Esparrach
Antonio M. López
Adriana Romero
M. Drozdzal
Aaron Courville
3DV
357
805
0
02 Dec 2016
Did Evolution get it right? An evaluation of Near-Infrared imaging in
  semantic scene segmentation using deep learning
Did Evolution get it right? An evaluation of Near-Infrared imaging in semantic scene segmentation using deep learning
J. R. Siddiqui
50
1
0
27 Nov 2016
Semi-supervised Learning using Denoising Autoencoders for Brain Lesion
  Detection and Segmentation
Semi-supervised Learning using Denoising Autoencoders for Brain Lesion Detection and Segmentation
Alex Varghese
Kiran Vaidhya
Subramaniam Thirunavukkarasu
C. Kesavdas
Ganapathy Krishnamurthi
MedIm
217
57
0
26 Nov 2016
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for
  Automated Detection of Lacunes of Presumed Vascular Origin
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin
Mohsen Ghafoorian
N. Karssemeijer
Tom Heskes
M. Bergkamp
Joost Wissink
...
K. Keizer
F.‐E. Leeuw
Bram van Ginneken
E. Marchiori
B. Platel
MedIm
393
130
0
24 Oct 2016
Location Sensitive Deep Convolutional Neural Networks for Segmentation
  of White Matter Hyperintensities
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
Mohsen Ghafoorian
N. Karssemeijer
Tom Heskes
I. V. Uden
C. I. Sánchez
G. Litjens
F.‐E. Leeuw
Bram van Ginneken
E. Marchiori
B. Platel
SSeg
147
244
0
16 Oct 2016
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully
  Convolutional Neural Networks and 3D Conditional Random Fields
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random FieldsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2016
P. Christ
M. Elshaer
Florian Ettlinger
S. Tatavarty
Marc Bickel
...
Felix O. Hofmann
M. D’Anastasi
Wieland H. Sommer
Seyed-Ahmad Ahmadi
Bjoern Menze
MedIm
183
663
0
07 Oct 2016
Extraction of Skin Lesions from Non-Dermoscopic Images Using Deep
  Learning
Extraction of Skin Lesions from Non-Dermoscopic Images Using Deep Learning
Mohammad Jafari
E. Nasr-Esfahani
N. Karimi
S. M. Reza Soroushmehr
S. Samavi
Kayvan Najarian
MedIm
136
80
0
08 Sep 2016
The Importance of Skip Connections in Biomedical Image Segmentation
The Importance of Skip Connections in Biomedical Image Segmentation
M. Drozdzal
Eugene Vorontsov
Gabriel Chartrand
Samuel Kadoury
C. Pal
MedIm
234
1,104
0
14 Aug 2016
Previous
12345678
Next
Page 7 of 8