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Multi-modal learning for predicting the genotype of glioma

Multi-modal learning for predicting the genotype of glioma

21 March 2022
Yiran Wei
Xi Chen
Lei Zhu
Lipei Zhang
Carola-Bibiane Schönlieb
S. Price
Chong Li
ArXivPDFHTML

Papers citing "Multi-modal learning for predicting the genotype of glioma"

13 / 13 papers shown
Title
Collaborative learning of images and geometrics for predicting
  isocitrate dehydrogenase status of glioma
Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma
Yiran Wei
Chao Li
Xi Chen
Carola-Bibiane Schönlieb
S. Price
44
10
0
14 Jan 2022
Predicting isocitrate dehydrogenase mutation status in glioma using
  structural brain networks and graph neural networks
Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks
Yiran Wei
Yonghao Li
Xi Chen
Carola-Bibiane Schönlieb
Chao Li
S. Price
42
3
0
04 Sep 2021
Contrastive Learning of Medical Visual Representations from Paired
  Images and Text
Contrastive Learning of Medical Visual Representations from Paired Images and Text
Yuhao Zhang
Hang Jiang
Yasuhide Miura
Christopher D. Manning
C. Langlotz
MedIm
122
758
0
02 Oct 2020
GNNExplainer: Generating Explanations for Graph Neural Networks
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying
Dylan Bourgeois
Jiaxuan You
Marinka Zitnik
J. Leskovec
LLMAG
140
1,319
0
10 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
220
4,336
0
06 Mar 2019
Generating Diffusion MRI scalar maps from T1 weighted images using
  generative adversarial networks
Generating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks
Xuan Gu
H. Knutsson
Markus Nilsson
Anders Eklund
DiffM
MedIm
34
29
0
05 Oct 2018
Disease Prediction using Graph Convolutional Networks: Application to
  Autism Spectrum Disorder and Alzheimer's Disease
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease
Sarah Parisot
S. Ktena
Enzo Ferrante
M. J. Lee
Ricardo Guerrero
Ben Glocker
Daniel Rueckert
MedIm
59
532
0
05 Jun 2018
Stacked Cross Attention for Image-Text Matching
Stacked Cross Attention for Image-Text Matching
Kuang-Huei Lee
Xi Chen
G. Hua
Houdong Hu
Xiaodong He
74
1,151
0
21 Mar 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
468
20,124
0
30 Oct 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC
3DV
346
11,105
0
07 Jun 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
294
20,003
0
07 Oct 2016
An overview of gradient descent optimization algorithms
An overview of gradient descent optimization algorithms
Sebastian Ruder
ODL
204
6,184
0
15 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
614
29,032
0
09 Sep 2016
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