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Multi-modal Intermediate Feature Interaction AutoEncoder for Overall Survival Prediction of Esophageal Squamous Cell Cancer

Multi-modal Intermediate Feature Interaction AutoEncoder for Overall Survival Prediction of Esophageal Squamous Cell Cancer

Chengyu Wu
Yatao Zhang
Yaqi Wang
Qifeng Wang
Shuai Wang
ArXiv (abs)PDFHTML

Papers citing "Multi-modal Intermediate Feature Interaction AutoEncoder for Overall Survival Prediction of Esophageal Squamous Cell Cancer"

4 / 4 papers shown
Title
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT
Mingyuan Meng
B. Gu
Lei Bi
Shaoli Song
Dagan Feng
Jinman Kim
MedIm
92
39
0
16 Sep 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
447
21,439
0
25 Mar 2021
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers
Lisa Anne Hendricks
John F. J. Mellor
R. Schneider
Jean-Baptiste Alayrac
Aida Nematzadeh
119
116
0
31 Jan 2021
Linformer: Self-Attention with Linear Complexity
Linformer: Self-Attention with Linear Complexity
Sinong Wang
Belinda Z. Li
Madian Khabsa
Han Fang
Hao Ma
216
1,706
0
08 Jun 2020

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