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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
Polarimetric image augmentation
Polarimetric image augmentation
Marc Blanchon
Olivier Morel
F. Mériaudeau
R. Seulin
Désiré Sidibé
121
6
0
22 May 2020
Upper Bounds on the Generalization Error of Private Algorithms for
  Discrete Data
Upper Bounds on the Generalization Error of Private Algorithms for Discrete Data
Borja Rodríguez Gálvez
Germán Bassi
Mikael Skoglund
263
7
0
12 May 2020
On the Limits to Multi-Modal Popularity Prediction on Instagram -- A New
  Robust, Efficient and Explainable Baseline
On the Limits to Multi-Modal Popularity Prediction on Instagram -- A New Robust, Efficient and Explainable Baseline
Christoffer Riis
D. Kowalczyk
Lars Kai Hansen
177
2
0
26 Apr 2020
DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor
  Segmentation using Magnetic Resonance FLAIR Images
DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR ImagesInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2020
Ramy A. Zeineldin
Mohamed E. Karar
J. Coburger
C. Wirtz
Oliver Burgert
122
207
0
26 Apr 2020
A Survey on Incorporating Domain Knowledge into Deep Learning for
  Medical Image Analysis
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis
Xiaozhen Xie
J. Niu
Xuefeng Liu
Zhengsu Chen
Shaojie Tang
Shui Yu
259
15
0
25 Apr 2020
A review: Deep learning for medical image segmentation using
  multi-modality fusion
A review: Deep learning for medical image segmentation using multi-modality fusion
Tongxue Zhou
S. Ruan
S. Canu
268
566
0
22 Apr 2020
Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor
  Segmentation
Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor SegmentationInformatics in Medicine Unlocked (IMU), 2020
Wenshuai Zhao
Dihong Jiang
Jorge Peña Queralta
Tomi Westerlund
SSeg
142
80
0
17 Apr 2020
Attention-Guided Version of 2D UNet for Automatic Brain Tumor
  Segmentation
Attention-Guided Version of 2D UNet for Automatic Brain Tumor SegmentationInternational Conference on Computer and Knowledge Engineering (ICCKE), 2019
Mehrdad Noori
Ali Bahri
K. Mohammadi
3DV
151
110
0
04 Apr 2020
Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for
  Robust Segmentation
Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation
Qian Yu
Yinghuan Shi
Yefeng Zheng
Yang Gao
Jianbing Zhu
Yakang Dai
MedIm
208
0
0
03 Apr 2020
Lesion Conditional Image Generation for Improved Segmentation of
  Intracranial Hemorrhage from CT Images
Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images
Manohar Karki
Junghwan Cho
Seokhwan Ko
GANMedIm
69
5
0
30 Mar 2020
U-Det: A Modified U-Net architecture with bidirectional feature network
  for lung nodule segmentation
U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation
Nikhil Varma Keetha
P. SamsonAnoshBabu
Chandra Sekhara Rao Annavarapu
157
48
0
20 Mar 2020
Brain tumor segmentation with missing modalities via latent multi-source
  correlation representation
Brain tumor segmentation with missing modalities via latent multi-source correlation representationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Tongxue Zhou
S. Canu
P. Vera
S. Ruan
240
53
0
19 Mar 2020
Segmentation of brain tumor on magnetic resonance imaging using a
  convolutional architecture
Segmentation of brain tumor on magnetic resonance imaging using a convolutional architecture
Miriam Zulema Jacobo
José Mejía
38
1
0
17 Mar 2020
Synthesis of Brain Tumor MR Images for Learning Data Augmentation
Synthesis of Brain Tumor MR Images for Learning Data Augmentation
Sunho Kim
Byungjai Kim
HyunWook Park
MedIm
97
2
0
17 Mar 2020
Dropout: Explicit Forms and Capacity Control
Dropout: Explicit Forms and Capacity ControlInternational Conference on Machine Learning (ICML), 2020
R. Arora
Peter L. Bartlett
Poorya Mianjy
Nathan Srebro
213
41
0
06 Mar 2020
Region of Interest Identification for Brain Tumors in Magnetic Resonance
  Images
Region of Interest Identification for Brain Tumors in Magnetic Resonance Images
F. Mostafaie
Reihaneh Teimouri
Zahra Nabizadeh
N. Karimi
S. Samavi
94
2
0
26 Feb 2020
3D U-Net for Segmentation of Plant Root MRI Images in Super-Resolution
3D U-Net for Segmentation of Plant Root MRI Images in Super-ResolutionThe European Symposium on Artificial Neural Networks (ESANN), 2020
Yi Zhao
Nils Wandel
M. Landl
A. Schnepf
Sven Behnke
250
5
0
21 Feb 2020
Development of accurate human head models for personalized
  electromagnetic dosimetry using deep learning
Development of accurate human head models for personalized electromagnetic dosimetry using deep learning
E. Rashed
J. Gómez-Tames
A. Hirata
MedIm
302
26
0
21 Feb 2020
Liver Segmentation in Abdominal CT Images via Auto-Context Neural
  Network and Self-Supervised Contour Attention
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention
Minyoung Chung
Jingyu Lee
Jeongjin Lee
Y. Shin
MedIm
154
29
0
14 Feb 2020
Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for
  Tooth Segmentation
Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation
Minyoung Chung
Minkyung Lee
Jioh Hong
Sanguk Park
Jusang Lee
Jingyu Lee
Jeongjin Lee
Y. Shin
113
78
0
06 Feb 2020
Secure and Robust Machine Learning for Healthcare: A Survey
Secure and Robust Machine Learning for Healthcare: A SurveyIEEE Reviews in Biomedical Engineering (RBME), 2020
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAMLOOD
260
448
0
21 Jan 2020
Spinal Metastases Segmentation in MR Imaging using Deep Convolutional
  Neural Networks
Spinal Metastases Segmentation in MR Imaging using Deep Convolutional Neural Networks
Georg Hille
Johannes Steffen
M. Dünnwald
Mathias Becker
S. Saalfeld
Klaus D. Tönnies
136
7
0
08 Jan 2020
Semi-supervised Learning Approach to Generate Neuroimaging Modalities
  with Adversarial Training
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial TrainingPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019
H. Nguyen
Simon Luo
Fabio Ramos
GANMedIm
125
4
0
09 Dec 2019
Artificial Intelligence in Glioma Imaging: Challenges and Advances
Artificial Intelligence in Glioma Imaging: Challenges and AdvancesJournal of Neural Engineering (J. Neural Eng.), 2019
Weina Jin
M. Fatehi
Kumar Abhishek
Mayur Mallya
B. Toyota
Ghassan Hamarneh
401
44
0
28 Nov 2019
Artificial Intelligence-Based Image Classification for Diagnosis of Skin
  Cancer: Challenges and Opportunities
Artificial Intelligence-Based Image Classification for Diagnosis of Skin Cancer: Challenges and Opportunities
Manu Goyal
T. Knackstedt
Shaofeng Yan
Saeed Hassanpour
322
108
0
26 Nov 2019
Automated Human Claustrum Segmentation using Deep Learning Technologies
Automated Human Claustrum Segmentation using Deep Learning Technologies
A. Albishri
Syed Jawad Hussain Shah
Anthony Schmiedler
S. Kang
Yugyung Lee
165
4
0
18 Nov 2019
Unsupervised Medical Image Segmentation with Adversarial Networks: From
  Edge Diagrams to Segmentation Maps
Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps
Umaseh Sivanesan
Luis H. Braga
R. Sonnadara
Kiret Dhindsa
GANMedIm
168
15
0
12 Nov 2019
Disentangle, align and fuse for multimodal and semi-supervised image
  segmentation
Disentangle, align and fuse for multimodal and semi-supervised image segmentation
A. Chartsias
G. Papanastasiou
Chengjia Wang
S. Semple
D. Newby
R. Dharmakumar
Sotirios A. Tsaftaris
542
13
0
11 Nov 2019
Machine Learning Techniques for Biomedical Image Segmentation: An
  Overview of Technical Aspects and Introduction to State-of-Art Applications
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art ApplicationsMedical Physics (Lancaster) (MPL), 2019
Hyunseok Seo
M. B. Khuzani
V. Vasudevan
Charles Huang
Hongyi Ren
Ruoxiu Xiao
Xiao Jia
Lei Xing
VLM
263
255
0
06 Nov 2019
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in
  Ultrasound Images
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound ImagesUltrasound in Medicine and Biology (Ultrasound Med Biol), 2019
Aleksandar Vakanski
Min Xian
Phoebe E. Freer
248
157
0
20 Oct 2019
A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid
  Intelligence Prediction
A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction
Y. S. Vang
Yingxin Cao
Xiaohui Xie
FedMLAI4CE
45
8
0
16 Oct 2019
A Survey on Recent Advancements for AI Enabled Radiomics in
  Neuro-Oncology
A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology
Syed Muhammad Anwar
T. Altaf
K. Rafique
Harish RaviPrakash
Hassan Mohy-ud-Din
Ulas Bagci
OODAI4CE
147
4
0
16 Oct 2019
FastSurfer -- A fast and accurate deep learning based neuroimaging
  pipeline
FastSurfer -- A fast and accurate deep learning based neuroimaging pipelineNeuroImage (NeuroImage), 2019
Leonie Henschel
Sailesh Conjeti
Santiago Estrada
K. Diers
Bruce Fischl
M. Reuter
MedIm
375
514
0
09 Oct 2019
Brain MRI Tumor Segmentation with Adversarial Networks
Brain MRI Tumor Segmentation with Adversarial Networks
E. Giacomello
Daniele Loiacono
L. Mainardi
GANMedIm
272
6
0
07 Oct 2019
Adaptive Class Weight based Dual Focal Loss for Improved Semantic Segmentation
M. S. Hossain
A. Paplinski
John M. Betts
238
5
0
26 Sep 2019
Model-Based and Data-Driven Strategies in Medical Image Computing
Model-Based and Data-Driven Strategies in Medical Image ComputingProceedings of the IEEE (Proc. IEEE), 2019
Daniel Rueckert
Julia A. Schnabel
OODMedImAI4CE
168
57
0
23 Sep 2019
Persian Signature Verification using Fully Convolutional Networks
Persian Signature Verification using Fully Convolutional Networks
Mohammad Rezaei
Nader Naderi
72
6
0
20 Sep 2019
Deep Learning Algorithms to Isolate and Quantify the Structures of the
  Anterior Segment in Optical Coherence Tomography Images
Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography ImagesBritish Journal of Ophthalmology (BJO), 2019
T. Pham
S. Devalla
A. Ang
Z. Soh
Alexandre Hoang Thiery
C. Boote
Ching-Yu Cheng
V. Koh
M. Girard
130
35
0
01 Sep 2019
Feature Learning to Automatically Assess Radiographic Knee
  Osteoarthritis Severity
Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis SeverityIntelligent Systems Reference Library (ISRL), 2019
Joseph Antony
Kevin McGuinness
Kieran Moran
Noel E. O'Connor
184
8
0
23 Aug 2019
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional
  Networks
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks
Juan Miguel Valverde
Artem Shatillo
Riccardo De Feo
O. Gröhn
Alejandra Sierra
Jussi Tohka
MedIm
112
7
0
23 Aug 2019
Survey on Deep Neural Networks in Speech and Vision Systems
Survey on Deep Neural Networks in Speech and Vision Systems
M. Alam
Manar D. Samad
Lasitha Vidyaratne
Alexander M. Glandon
Khan M. Iftekharuddin
3DVVLMAI4TS
378
226
0
16 Aug 2019
Multi-step Cascaded Networks for Brain Tumor Segmentation
Multi-step Cascaded Networks for Brain Tumor Segmentation
Xiangyu Li
Gongning Luo
Kuanquan Wang
128
70
0
16 Aug 2019
Precise Estimation of Renal Vascular Dominant Regions Using Spatially
  Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams
Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams
Chenglong Wang
H. Roth
T. Kitasaka
M. Oda
Y. Hayashi
Y. Yoshino
Tokunori Yamamoto
N. Sassa
M. Goto
K. Mori
129
23
0
05 Aug 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Uncertainty in Model-Agnostic Meta-Learning using Variational InferenceIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
OODBDLUQCV
157
58
0
27 Jul 2019
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study
Jiechao Ma
Yingqian Chen
Yu-Chun Chen
Fengkai Wan
Sumin Xue
Ziping Li
S. Feng
MedIm
86
2
0
24 Jul 2019
Fully-automated deep learning-powered system for DCE-MRI analysis of
  brain tumors
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors
J. Nalepa
P. R. Lorenzo
Michal Marcinkiewicz
B. Bobek-Billewicz
P. Wawrzyniak
...
M. Kawulok
Wojciech Dudzik
Grzegorz Mrukwa
Pawel Ulrych
M. P. Hayball
158
49
0
18 Jul 2019
Exploiting bilateral symmetry in brain lesion segmentation
Exploiting bilateral symmetry in brain lesion segmentationBioimaging (Bristol. Print) (BBP), 2019
Kevin Raina
U. Yahorau
T. Schmah
115
10
0
18 Jul 2019
CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor
  Segmentation
CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation
Hongying Liu
Xiongjie Shen
Fanhua Shang
Haiwei Yang
175
48
0
17 Jul 2019
Deep Attentive Features for Prostate Segmentation in 3D Transrectal
  Ultrasound
Deep Attentive Features for Prostate Segmentation in 3D Transrectal UltrasoundIEEE Transactions on Medical Imaging (TMI), 2019
Yi Wang
Haoran Dou
Xiaowei Hu
Lei Zhu
Xin Yang
Ming Xu
J. Qin
Pheng-Ann Heng
Tianfu Wang
Dong Ni
MedIm
100
149
0
03 Jul 2019
Detection of Myocardial Infarction Based on Novel Deep Transfer Learning
  Methods for Urban Healthcare in Smart Cities
Detection of Myocardial Infarction Based on Novel Deep Transfer Learning Methods for Urban Healthcare in Smart CitiesMultimedia tools and applications (MTA), 2019
A. Alghamdi
Mohamed Hammad
H. Ugail
Asmaa Abdel-Raheem
Khan Muhammad
Hany S. Khalifa
A. A. Abd El-Latif
131
123
0
22 Jun 2019
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