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Harnessing the power of longitudinal medical imaging for eye disease
  prognosis using Transformer-based sequence modeling

Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling

14 May 2024
G. Holste
Mingquan Lin
Ruiwen Zhou
Fei-Yue Wang
Lei Liu
Qi Yan
S. V. Tassel
Kyle Kovacs
Emily Y. Chew
Zhiyong Lu
Zhangyang Wang
Yifan Peng
    MedIm
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Papers citing "Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling"

3 / 3 papers shown
Title
MIMIC-\RNum{4}-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp for Risk Prediction
MIMIC-\RNum{4}-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp for Risk Prediction
J. Wang
Xing Niu
Juyong Kim
Jie Shen
Tong Zhang
Jeremy C Weiss
29
0
0
01 May 2025
COVID-19 Prognosis via Self-Supervised Representation Learning and
  Multi-Image Prediction
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction
Anuroop Sriram
Matthew Muckley
Koustuv Sinha
Farah E. Shamout
Joelle Pineau
Krzysztof J. Geras
Lea Azour
Y. Aphinyanaphongs
N. Yakubova
W. Moore
MedIm
126
64
0
13 Jan 2021
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDL
CML
OOD
104
1,231
0
02 Jun 2016
1