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Conditional Adversarial Network for Semantic Segmentation of Brain Tumor

Conditional Adversarial Network for Semantic Segmentation of Brain Tumor

17 August 2017
Mina Rezaei
Konstantin Harmuth
Willi Gierke
Thomas Kellermeier
Martin Fischer
Haojin Yang
Christoph Meinel
    GAN
    MedIm
ArXivPDFHTML

Papers citing "Conditional Adversarial Network for Semantic Segmentation of Brain Tumor"

12 / 12 papers shown
Title
Multi-class point cloud completion networks for 3D cardiac anatomy
  reconstruction from cine magnetic resonance images
Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images
M. Beetz
Abhirup Banerjee
Julius Ossenberg-Engels
Vicente Grau
3DV
36
15
0
17 Jul 2023
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of Research
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
35
50
0
13 Feb 2023
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
19
217
0
07 Jan 2022
Dynamic fracture of a bicontinuously nanostructured copolymer: A
  deep-learning analysis of big-data-generating experiment
Dynamic fracture of a bicontinuously nanostructured copolymer: A deep-learning analysis of big-data-generating experiment
Hanxun Jin
Tong Jiao
R. Clifton
Kyung-Suk Kim
AI4CE
14
24
0
03 Dec 2021
Lookahead Adversarial Learning for Near Real-Time Semantic Segmentation
Lookahead Adversarial Learning for Near Real-Time Semantic Segmentation
Hadi Jamali Rad
Attila Szabo
SSeg
20
1
0
19 Jun 2020
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
45
667
0
16 Oct 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
24
47
0
18 Jul 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor
  Segmentation, Progression Assessment, and Overall Survival Prediction in the
  BRATS Challenge
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas
M. Reyes
Andras Jakab
Stefan Bauer
Markus Rempfler
...
Jayashree Kalpathy-Cramer
Keyvan Farahani
Christos Davatzikos
Koen van Leemput
Bjoern H. Menze
58
1,609
0
05 Nov 2018
Few-shot 3D Multi-modal Medical Image Segmentation using Generative
  Adversarial Learning
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
Arnab Kumar Mondal
Jose Dolz
Christian Desrosiers
GAN
MedIm
35
118
0
29 Oct 2018
Generative Adversarial Network in Medical Imaging: A Review
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi
Ekta Walia
P. Babyn
GAN
MedIm
31
1,370
0
19 Sep 2018
GANs for Medical Image Analysis
GANs for Medical Image Analysis
Salome Kazeminia
Christoph Baur
Arjan Kuijper
Bram van Ginneken
Nassir Navab
Shadi Albarqouni
Anirban Mukhopadhyay
MedIm
AI4CE
18
408
0
13 Sep 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
29
873
0
03 Mar 2018
1