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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
Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and
  Perspectives
Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and Perspectives
Zeynel A. Samak
Philip Clatworthy
Majid Mirmehdi
73
1
0
06 Dec 2024
Medical Multimodal Foundation Models in Clinical Diagnosis and
  Treatment: Applications, Challenges, and Future Directions
Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions
Kai Sun
Siyan Xue
F. Sun
Haoran Sun
Yu-Juan Luo
...
Xinzhou Wang
Lei Yang
Shuo Jin
Jun Yan
Jiahong Dong
AI4CE
76
2
0
03 Dec 2024
Unveiling Incomplete Modality Brain Tumor Segmentation: Leveraging
  Masked Predicted Auto-Encoder and Divergence Learning
Unveiling Incomplete Modality Brain Tumor Segmentation: Leveraging Masked Predicted Auto-Encoder and Divergence Learning
Zhongao Sun
Jiameng Li
Yuhan Wang
Jiarong Cheng
Qing Zhou
Chun Li
MedIm
28
0
0
12 Jun 2024
A review of deep learning-based information fusion techniques for
  multimodal medical image classification
A review of deep learning-based information fusion techniques for multimodal medical image classification
Yi-Hsuan Li
Mostafa EL HABIB DAHO
Pierre-Henri Conze
Rachid Zeghlache
Hugo Le Boité
R. Tadayoni
B. Cochener
M. Lamard
G. Quellec
30
31
0
23 Apr 2024
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
Ngoc-Du Tran
Thi-Thao Tran
Quang-Huy Nguyen
Manh-Hung Vu
Van-Truong Pham
MedIm
ViT
33
1
0
04 Apr 2024
AgileFormer: Spatially Agile Transformer UNet for Medical Image
  Segmentation
AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation
Peijie Qiu
Jin Yang
Sayantan Kumar
S. Ghosh
Aristeidis Sotiras
MedIm
36
8
0
29 Mar 2024
Densely Decoded Networks with Adaptive Deep Supervision for Medical
  Image Segmentation
Densely Decoded Networks with Adaptive Deep Supervision for Medical Image Segmentation
Suraj Mishra
Danny Ziyi Chen
MedIm
25
0
0
05 Feb 2024
Unsupervised Federated Domain Adaptation for Segmentation of MRI Images
Unsupervised Federated Domain Adaptation for Segmentation of MRI Images
Navapat Nananukul
Hamid Soltanian-zadeh
Mohammad Rostami
24
0
0
02 Jan 2024
Tumor-Centered Patching for Enhanced Medical Image Segmentation
Tumor-Centered Patching for Enhanced Medical Image Segmentation
Mutyyba Asghar
A. R. Shahid
Akhtar Jamil
K. Aftab
S. Enam
19
1
0
23 Aug 2023
Automated Ensemble-Based Segmentation of Adult Brain Tumors: A Novel
  Approach Using the BraTS AFRICA Challenge Data
Automated Ensemble-Based Segmentation of Adult Brain Tumors: A Novel Approach Using the BraTS AFRICA Challenge Data
Chiranjeewee Prasad Koirala
Sovesh Mohapatra
Advait Gosai
G. Schlaug
11
1
0
14 Aug 2023
3D Brainformer: 3D Fusion Transformer for Brain Tumor Segmentation
3D Brainformer: 3D Fusion Transformer for Brain Tumor Segmentation
Rui Nian
Guoyao Zhang
Yao Sui
Yuqi Qian
Qiuying Li
Mingzhang Zhao
Jianhui Li
Ali Gholipour
Simon K. Warfield
MedIm
21
4
0
28 Apr 2023
Medical Image Analysis using Deep Relational Learning
Medical Image Analysis using Deep Relational Learning
Zhi-Hu Liu
MedIm
17
0
0
28 Mar 2023
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for
  Semantic Segmentation in Medical Imaging
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging
Zdravko Marinov
Simon Reiß
D. Kersting
Jens Kleesiek
Rainer Stiefelhagen
29
12
0
13 Mar 2023
Explainable Semantic Medical Image Segmentation with Style
Explainable Semantic Medical Image Segmentation with Style
Weiqun Dai
Siyu Liu
Craig B. Engstrom
Shekhar S. Chandra
MedIm
61
0
0
10 Mar 2023
Spatial Layout Consistency for 3D Semantic Segmentation
Spatial Layout Consistency for 3D Semantic Segmentation
M. Jameela
Gunho Sohn
3DPC
11
1
0
02 Mar 2023
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data
Zhiyuan Li
Hailong Li
Anca L. Ralescu
Jonathan R. Dillman
N. Parikh
Lili He
24
7
0
20 Feb 2023
Exploiting Partial Common Information Microstructure for Multi-Modal
  Brain Tumor Segmentation
Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation
Yongsheng Mei
Guru Venkataramani
Tian-Shing Lan
20
10
0
06 Feb 2023
Acute ischemic stroke lesion segmentation in non-contrast CT images
  using 3D convolutional neural networks
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks
A. Dobshik
S. Verbitskiy
I. Pestunov
K. Sherman
Yuriy Sinyavskiy
A. Tulupov
V. Berikov
16
6
0
17 Jan 2023
On Calibrating Semantic Segmentation Models: Analyses and An Algorithm
On Calibrating Semantic Segmentation Models: Analyses and An Algorithm
Dongdong Wang
Boqing Gong
Liqiang Wang
15
23
0
22 Dec 2022
Automated anomaly-aware 3D segmentation of bones and cartilages in knee
  MR images from the Osteoarthritis Initiative
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative
B. Woo
Craig B. Engstrom
William Baresic
Jurgen Fripp
Stuart Crozier
Shekhar S. Chandra
21
0
0
30 Nov 2022
Medical Image Segmentation Review: The success of U-Net
Medical Image Segmentation Review: The success of U-Net
Reza Azad
Ehsan Khodapanah Aghdam
Amelie Rauland
Yiwei Jia
Atlas Haddadi Avval
Afshin Bozorgpour
Sanaz Karimijafarbigloo
Joseph Paul Cohen
Ehsan Adeli
Dorit Merhof
SSeg
17
264
0
27 Nov 2022
Multimodal Information Fusion for Glaucoma and DR Classification
Multimodal Information Fusion for Glaucoma and DR Classification
Yihao Li
Mostafa EL HABIB DAHO
Pierre-Henri Conze
Hassan Al Hajj
S. Bonnin
...
Stephanie Magazzeni
R. Tadayoni
B. Cochener
M. Lamard
G. Quellec
11
20
0
02 Sep 2022
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical
  Images
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images
Yanbin Liu
Girish Dwivedi
F. Boussaïd
Frank M. Sanfilippo
Makoto Yamada
Bennamoun
DiffM
MedIm
13
9
0
08 Aug 2022
Application of belief functions to medical image segmentation: A review
Application of belief functions to medical image segmentation: A review
Ling Huang
S. Ruan
Thierry Denoeux
EDL
MedIm
27
30
0
03 May 2022
A Novel Mask R-CNN Model to Segment Heterogeneous Brain Tumors through
  Image Subtraction
A Novel Mask R-CNN Model to Segment Heterogeneous Brain Tumors through Image Subtraction
Sanskriti Singh
9
7
0
04 Apr 2022
Point-Unet: A Context-aware Point-based Neural Network for Volumetric
  Segmentation
Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
Ngoc-Vuong Ho
Tan H. Nguyen
Gia-Han Diep
Ngan Le
Binh-Son Hua
3DPC
28
23
0
16 Mar 2022
Recursive 3D Segmentation of Shoulder Joint with Coarse-scanned MR Image
Recursive 3D Segmentation of Shoulder Joint with Coarse-scanned MR Image
Xiaoxiao He
Chaowei Tan
Virak Tan
Kang Li
22
4
0
13 Mar 2022
Joint brain tumor segmentation from multi MR sequences through a deep
  convolutional neural network
Joint brain tumor segmentation from multi MR sequences through a deep convolutional neural network
Farzaneh Dehghani
A. Karimian
Hossein ARABI
14
14
0
07 Mar 2022
Label fusion and training methods for reliable representation of
  inter-rater uncertainty
Label fusion and training methods for reliable representation of inter-rater uncertainty
A. Lemay
C. Gros
Enamundram Naga Karthik
Julien Cohen-Adad
22
12
0
15 Feb 2022
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation
Dingwen Zhang
Guohai Huang
Qiang Zhang
Jungong Han
Junwei Han
Yizhou Yu
11
216
0
07 Jan 2022
Leveraging Human Selective Attention for Medical Image Analysis with
  Limited Training Data
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data
Yifei Huang
Xiaoxiao Li
Lijin Yang
Lin Gu
Yingying Zhu
Hirofumi Seo
Qiuming Meng
Tatsuya Harada
Yoichi Sato
MedIm
25
9
0
02 Dec 2021
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural
  Network for Brain Tumor Segmentation with Missing MR Modalities
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities
Tongxue Zhou
S. Canu
P. Vera
S. Ruan
MedIm
33
42
0
08 Nov 2021
A Tri-attention Fusion Guided Multi-modal Segmentation Network
A Tri-attention Fusion Guided Multi-modal Segmentation Network
Tongxue Zhou
S. Ruan
P. Vera
S. Canu
MedIm
24
45
0
02 Nov 2021
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image
  Segmentation
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
J. L. Berral
Oriol Aranda
J. L. Domínguez
Jordi Torres
OOD
13
3
0
29 Oct 2021
Deep Learning-based Segmentation of Cerebral Aneurysms in 3D TOF-MRA
  using Coarse-to-Fine Framework
Deep Learning-based Segmentation of Cerebral Aneurysms in 3D TOF-MRA using Coarse-to-Fine Framework
Meng Chen
C. Geng
Dongdong Wang
Jiajun Zhang
R. Di
Fengmei Li
Zhiyong Zhou
Sirong Piao
Yuxin Li
Y. Dai
14
1
0
26 Oct 2021
An Automatic Detection Method Of Cerebral Aneurysms In Time-Of-Flight
  Magnetic Resonance Angiography Images Based On Attention 3D U-Net
An Automatic Detection Method Of Cerebral Aneurysms In Time-Of-Flight Magnetic Resonance Angiography Images Based On Attention 3D U-Net
C. Geng
Meng Chen
R. Di
Dongdong Wang
Liqin Yang
Wei Xia
Yuxin Li
D. Geng
12
4
0
26 Oct 2021
Predicting survival of glioblastoma from automatic whole-brain and tumor
  segmentation of MR images
Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images
Sveinn Pálsson
Stefano Cerri
H. Poulsen
T. Urup
I. Law
Koen van Leemput
13
12
0
25 Sep 2021
CAN3D: Fast 3D Medical Image Segmentation via Compact Context
  Aggregation
CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation
Wei Dai
B. Woo
Siyu Liu
Matthew Marques
Craig B. Engstrom
P. Greer
Stuart Crozier
Jason Dowling
Shekhar S. Chandra
10
13
0
12 Sep 2021
Generative Models Improve Radiomics Performance in Different Tasks and
  Different Datasets: An Experimental Study
Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study
Junhua Chen
Inigo Bermejo
Andre Dekker
L. Wee
DiffM
MedIm
AI4CE
19
8
0
06 Sep 2021
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data
  via Differentiable Cross-Approximation
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation
Mikhail (Misha) Usvyatsov
Anastasia Makarova
R. Ballester-Ripoll
M. Rakhuba
Andreas Krause
Konrad Schindler
19
5
0
29 May 2021
Brain tumour segmentation using a triplanar ensemble of U-Nets
Brain tumour segmentation using a triplanar ensemble of U-Nets
V. Sundaresan
L. Griffanti
M. Jenkinson
12
14
0
24 May 2021
Latent Correlation Representation Learning for Brain Tumor Segmentation
  with Missing MRI Modalities
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities
Tongxue Zhou
S. Canu
P. Vera
S. Ruan
19
141
0
13 Apr 2021
Artificial Intelligence in Tumor Subregion Analysis Based on Medical
  Imaging: A Review
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review
Mingquan Lin
Jacob F. Wynne
Y. Lei
Tonghe Wang
W. Curran
Tian Liu
Xiaofeng Yang
27
24
0
25 Mar 2021
Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation,
  Segmentation and Radiogenomic Survival Prediction
Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival Prediction
Mobarakol Islam
Navodini Wijethilake
Hongliang Ren
21
32
0
17 Mar 2021
TransMed: Transformers Advance Multi-modal Medical Image Classification
TransMed: Transformers Advance Multi-modal Medical Image Classification
Yin Dai
Yifan Gao
ViT
MedIm
30
280
0
10 Mar 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in
  3D MRI Brain Tumor Segmentation
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation
K. R. M. Fernando
Cris P Tsokos
23
53
0
09 Mar 2021
Morphological Operation Residual Blocks: Enhancing 3D Morphological
  Feature Representation in Convolutional Neural Networks for Semantic
  Segmentation of Medical Images
Morphological Operation Residual Blocks: Enhancing 3D Morphological Feature Representation in Convolutional Neural Networks for Semantic Segmentation of Medical Images
Chentian Li
Chi Ma
W. Lu
MedIm
11
1
0
06 Mar 2021
Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in
  Multi-Domain Loss Landscapes by Inner-Loop Learning
Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning
Anthony Sicilia
Xingchen Zhao
D. Minhas
Erin O'Connor
H. Aizenstein
W. Klunk
D. Tudorascu
Seong Jae Hwang
21
6
0
25 Feb 2021
A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction
A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction
Fanwei Kong
N. Wilson
S. Shadden
MedIm
AI4CE
40
82
0
16 Feb 2021
3D Medical Multi-modal Segmentation Network Guided by Multi-source
  Correlation Constraint
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint
Tongxue Zhou
S. Canu
P. Vera
S. Ruan
MedIm
27
13
0
05 Feb 2021
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