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Enhancing clinical MRI Perfusion maps with data-driven maps of
  complementary nature for lesion outcome prediction

Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction

12 June 2018
Adriano Pinto
Sérgio Pereira
Raphael Meier
Victor Alves
Roland Wiest
Carlos Alberto Silva
M. Reyes
ArXiv (abs)PDFHTML

Papers citing "Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction"

9 / 9 papers shown
Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and
  Perspectives
Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and PerspectivesBiomedical Engineering Letters (Biomed Eng Lett), 2024
Zeynel A. Samak
Philip Clatworthy
Majid Mirmehdi
241
10
0
06 Dec 2024
Spatiotemporal Graph Neural Network Modelling Perfusion MRI
Spatiotemporal Graph Neural Network Modelling Perfusion MRI
Ruodan Yan
Carola-Bibiane Schönlieb
Chao Li
155
3
0
10 Jun 2024
Final infarct prediction in acute ischemic stroke
Final infarct prediction in acute ischemic stroke
J. Bertels
D. Robben
Dirk Vandermeulen
Robin Lemmens
77
0
0
09 Nov 2022
Combining unsupervised and supervised learning for predicting the final
  stroke lesion
Combining unsupervised and supervised learning for predicting the final stroke lesion
Adriano Pinto
Sérgio Pereira
Raphael Meier
Roland Wiest
Victor Alves
M. Reyes
Carlos Alberto Silva
278
32
0
02 Jan 2021
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
204
70
0
19 Jun 2020
Prediction of Thrombectomy Functional Outcomes using Multimodal Data
Prediction of Thrombectomy Functional Outcomes using Multimodal DataAnnual Conference on Medical Image Understanding and Analysis (MIUA), 2020
Zeynel A. Samak
Philip Clatworthy
Majid Mirmehdi
214
22
0
26 May 2020
Learning Cross-Modal Deep Representations for Multi-Modal MR Image
  Segmentation
Learning Cross-Modal Deep Representations for Multi-Modal MR Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Cheng Li
Hui Sun
Zaiyi Liu
Meiyun Wang
Bingsheng Huang
Shanshan Wang
161
52
0
06 Aug 2019
Prediction of final infarct volume from native CT perfusion and
  treatment parameters using deep learning
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning
D. Robben
A. Boers
H. Marquering
L. Langezaal
Y. Roos
...
D. Dippel
C. Majoie
A. van der Lugt
Robin Lemmens
P. Suetens
115
76
0
06 Dec 2018
Perfusion parameter estimation using neural networks and data
  augmentation
Perfusion parameter estimation using neural networks and data augmentation
D. Robben
P. Suetens
152
10
0
11 Oct 2018
1
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