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Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution
  to the BRATS 2017 Challenge

Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge

28 February 2018
Fabian Isensee
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier-Hein
ArXivPDFHTML

Papers citing "Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge"

50 / 112 papers shown
Title
A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and
  Overall Patient Survival Prediction
A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction
R. Agravat
M. Raval
24
22
0
26 Jan 2021
Glioblastoma Multiforme Patient Survival Prediction
Glioblastoma Multiforme Patient Survival Prediction
Snehal Rajput
R. Agravat
Mohendra Roy
M. Raval
19
10
0
26 Jan 2021
MRI Images, Brain Lesions and Deep Learning
MRI Images, Brain Lesions and Deep Learning
D. Castillo
Vasudevan Lakshminarayanan
M. Rodríguez-Álvarez
OOD
27
3
0
13 Jan 2021
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation
Saqib Qamar
Parvez Ahmad
Linlin Shen
17
26
0
12 Dec 2020
A Multi-task Contextual Atrous Residual Network for Brain Tumor
  Detection & Segmentation
A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation
Ngan Le
Kashu Yamazaki
Dat T. Truong
Kha Gia Quach
Marios Savvides
MedIm
20
18
0
03 Dec 2020
Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A
  Survey
Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey
Dan Zhao
Guizhi Xu
Xu Zhenghua
Thomas Lukasiewicz
Minmin Xue
Zhigang Fu
OOD
11
2
0
02 Nov 2020
nnU-Net for Brain Tumor Segmentation
nnU-Net for Brain Tumor Segmentation
Fabian Isensee
Paul F. Jaeger
Peter M. Full
Philipp Vollmuth
Klaus H. Maier-Hein
20
292
0
02 Nov 2020
Context Aware 3D UNet for Brain Tumor Segmentation
Context Aware 3D UNet for Brain Tumor Segmentation
Parvez Ahmad
Saqib Qamar
Linlin Shen
Adnan Saeed
SSeg
16
34
0
25 Oct 2020
Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma
  Segmentation in MRI Scans
Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans
M. Hamghalam
Baiying Lei
Tianfu Wang
MedIm
20
15
0
20 Oct 2020
ivadomed: A Medical Imaging Deep Learning Toolbox
ivadomed: A Medical Imaging Deep Learning Toolbox
C. Gros
A. Lemay
Olivier Vincent
Lucas Rouhier
Anthime Bucquet
Joseph Paul Cohen
Julien Cohen-Adad
LM&MA
MedIm
21
15
0
20 Oct 2020
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss
Jiabo He
S. Erfani
S. Wijewickrema
S. O'Leary
K. Ramamohanarao
18
3
0
23 Sep 2020
Deep Learning Based Segmentation of Various Brain Lesions for
  Radiosurgery
Deep Learning Based Segmentation of Various Brain Lesions for Radiosurgery
Siang-Ruei Wu
Hao Chang
Florence T. Su
Heng-Chun Liao
Wanju Tseng
Chun-Chih Liao
F. Lai
F. Hsu
Furen Xiao
3DV
MedIm
10
13
0
22 Jul 2020
Deep Learning Based Brain Tumor Segmentation: A Survey
Deep Learning Based Brain Tumor Segmentation: A Survey
Zhihua Liu
Lei Tong
Zheheng Jiang
Long Chen
Feixiang Zhou
Qianni Zhang
Xiangrong Zhang
Ling Li
Huiyu Zhou
3DV
24
227
0
18 Jul 2020
Generalisable 3D Fabric Architecture for Streamlined Universal
  Multi-Dataset Medical Image Segmentation
Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image Segmentation
Siyu Liu
Weiqun Dai
Craig B. Engstrom
Jurgen Fripp
Stuart Crozier
Jason Dowling
Shekhar S. Chandra
23
0
0
28 Jun 2020
Adaptive feature recombination and recalibration for semantic
  segmentation with Fully Convolutional Networks
Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks
Sérgio Pereira
Adriano Pinto
Joana Amorim
Alexandrine Ribeiro
Victor Alves
Carlos Alberto Silva
6
63
0
19 Jun 2020
M2Net: Multi-modal Multi-channel Network for Overall Survival Time
  Prediction of Brain Tumor Patients
M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients
Tao Zhou
Huazhu Fu
Yu Zhang
Changqing Zhang
Xiankai Lu
Jianbing Shen
Ling Shao
44
21
0
01 Jun 2020
A Review on End-To-End Methods for Brain Tumor Segmentation and Overall
  Survival Prediction
A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction
Snehal Rajput
M. Raval
3DV
28
12
0
31 May 2020
Prediction of Thrombectomy Functional Outcomes using Multimodal Data
Prediction of Thrombectomy Functional Outcomes using Multimodal Data
Zeynel A. Samak
Philip Clatworthy
Majid Mirmehdi
8
18
0
26 May 2020
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD
  Challenge 2018
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018
Oliver Rippel
Leon Weninger
Dorit Merhof
9
2
0
20 May 2020
Neural Architecture Search for Gliomas Segmentation on Multimodal
  Magnetic Resonance Imaging
Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance Imaging
Feifan Wang
19
5
0
13 May 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
24
504
0
22 Apr 2020
An automatic COVID-19 CT segmentation network using spatial and channel
  attention mechanism
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism
Tongxue Zhou
S. Canu
S. Ruan
15
54
0
14 Apr 2020
Attention-Guided Version of 2D UNet for Automatic Brain Tumor
  Segmentation
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation
Mehrdad Noori
Ali Bahri
K. Mohammadi
3DV
19
93
0
04 Apr 2020
3D Deep Learning on Medical Images: A Review
3D Deep Learning on Medical Images: A Review
S. Singh
Lipo Wang
Sukrit Gupta
Haveesh Goli
P. Padmanabhan
Balázs Gulyás
MedIm
13
417
0
01 Apr 2020
A level set representation method for N-dimensional convex shape and
  applications
A level set representation method for N-dimensional convex shape and applications
Lingfeng Li
Shousheng Luo
X. Tai
Jiang Yang
11
2
0
21 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 representation
Tongxue Zhou
S. Canu
P. Vera
S. Ruan
20
42
0
19 Mar 2020
T-Net: Learning Feature Representation with Task-specific Supervision
  for Biomedical Image Analysis
T-Net: Learning Feature Representation with Task-specific Supervision for Biomedical Image Analysis
Weinan Song
Yuan Liang
Jiawei Yang
Kun Wang
Lei He
12
0
0
19 Feb 2020
Hippocampus Segmentation on Epilepsy and Alzheimer's Disease Studies
  with Multiple Convolutional Neural Networks
Hippocampus Segmentation on Epilepsy and Alzheimer's Disease Studies with Multiple Convolutional Neural Networks
Diedre Carmo
Bruna Silva
C. Yasuda
Letícia Rittner
R. Lotufo
25
45
0
14 Jan 2020
Transfer Learning for Brain Tumor Segmentation
Transfer Learning for Brain Tumor Segmentation
Jonas Wacker
Marcelo Ladeira
J. Nascimento
MedIm
11
21
0
28 Dec 2019
Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival
  Prediction
Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival Prediction
Mehdi Amian
Mohammadreza Soltaninejad
27
32
0
19 Nov 2019
Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle
  using Deep Learning
Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning
Bo-in Seo
Daniel Mariano
John Beckfield
Vinay Madenur
Yuming Hu
Tony Reina
Marcus Bobar
M. H. Nguyen
I. Altintas
13
5
0
17 Sep 2019
3D U-Net Based Brain Tumor Segmentation and Survival Days Prediction
3D U-Net Based Brain Tumor Segmentation and Survival Days Prediction
Feifan Wang
Runzhou Jiang
Liqin Zheng
Chun Meng
B. Biswal
23
7
0
15 Sep 2019
Prediction of Overall Survival of Brain Tumor Patients
Prediction of Overall Survival of Brain Tumor Patients
R. Agravat
M. Raval
13
16
0
10 Sep 2019
Automated Brain Tumour Segmentation Using Deep Fully Residual
  Convolutional Neural Networks
Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks
Indrajit Mazumdar
12
4
0
12 Aug 2019
Predicted disease compositions of human gliomas estimated from
  multiparametric MRI can predict endothelial proliferation, tumor grade, and
  overall survival
Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival
Emily E. Diller
Shan Cao
Beth Ey
R. Lober
J. Parker
11
0
0
06 Aug 2019
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
Pengyi Zhang
Yunxin Zhong
Yulin Deng
Xiaoying Tang
Xiaoqiong Li
22
32
0
01 Aug 2019
Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis
Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis
Anjany Sekuboyina
Markus Rempfler
A. Valentinitsch
M. Löffler
Jan S. Kirschke
Bjoern H. Menze
3DPC
18
10
0
22 Jul 2019
A fully 3D multi-path convolutional neural network with feature fusion
  and feature weighting for automatic lesion identification in brain MRI images
A fully 3D multi-path convolutional neural network with feature fusion and feature weighting for automatic lesion identification in brain MRI images
Yunzhe Xue
Meiyan Xie
F. Farhat
Olga Boukrina
A. Barrett
J. Binder
Usman Roshan
William W. Graves
MedIm
11
5
0
17 Jul 2019
Improving 3D U-Net for Brain Tumor Segmentation by Utilizing Lesion
  Prior
Improving 3D U-Net for Brain Tumor Segmentation by Utilizing Lesion Prior
Po-Yu Kao
Jefferson W. Chen
B. S. Manjunath
16
6
0
29 Jun 2019
CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical
  Imaging
CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging
Yucheng Zhang
Edrise M. Lobo-Mueller
P. Karanicolas
S. Gallinger
M. Haider
Farzad Khalvati
MedIm
8
68
0
25 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 Segmentation
Chenhong Zhou
Changxing Ding
Xinchao Wang
Zhentai Lu
Dacheng Tao
8
165
0
05 Jun 2019
3D Dense Separated Convolution Module for Volumetric Image Analysis
3D Dense Separated Convolution Module for Volumetric Image Analysis
Lei Qu
Changfeng Wu
Liang Zou
12
2
0
14 May 2019
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative
  Adversarial Network
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network
Anmol Sharma
Ghassan Hamarneh
MedIm
GAN
29
169
0
27 Apr 2019
Effective 3D Humerus and Scapula Extraction using Low-contrast and
  High-shape-variability MR Data
Effective 3D Humerus and Scapula Extraction using Low-contrast and High-shape-variability MR Data
Xiaoxiao He
Chaowei Tan
Yuting Qiao
Virak Tan
Dimitris N. Metaxas
Kang Li
14
10
0
22 Feb 2019
Accurate 3D Cell Segmentation using Deep Feature and CRF Refinement
Accurate 3D Cell Segmentation using Deep Feature and CRF Refinement
Jiaxiang Jiang
Po-Yu Kao
S. Belteton
D. Szymanski
B. S. Manjunath
3DV
11
15
0
13 Feb 2019
Extended 2D Consensus Hippocampus Segmentation
Extended 2D Consensus Hippocampus Segmentation
Diedre Carmo
Bruna Silva
C. Yasuda
Letícia Rittner
R. Lotufo
22
6
0
12 Feb 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
19
476
0
31 Jan 2019
Combined tract segmentation and orientation mapping for bundle-specific
  tractography
Combined tract segmentation and orientation mapping for bundle-specific tractography
Jakob Wasserthal
Peter Neher
D. Hirjak
Klaus H. Maier-Hein
25
121
0
29 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
17
196
0
30 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
12
10
0
19 Dec 2018
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