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2404.07091
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LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression
10 April 2024
Rachid Zeghlache
Pierre-Henri Conze
Mostafa EL HABIB DAHO
Yi-Hsuan Li
Hugo Le Boité
R. Tadayoni
Pascale Massin
B. Cochener
Alireza Rezaei
Ikram Brahim
G. Quellec
M. Lamard
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Papers citing
"LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression"
10 / 10 papers shown
Title
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation
Rachid Zeghlache
Pierre-Henri Conze
Mostafa EL HABIB DAHO
Yi-Hsuan Li
Hugo Le Boité
...
Pascale Massin
B. Cochener
Ikram Brahim
G. Quellec
M. Lamard
63
4
0
16 Oct 2023
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image
Rachid Zeghlache
Pierre-Henri Conze
Mostafa EL HABIB DAHO
Yi-Hsuan Li
Hugo Le Boité
...
Pascale Massin
B. Cochener
Ikram Brahim
G. Quellec
M. Lamard
69
4
0
16 Oct 2023
LSOR: Longitudinally-Consistent Self-Organized Representation Learning
J. Ouyang
Qingyu Zhao
Ehsan Adeli
Wei Peng
Greg Zaharchuk
K. Pohl
60
1
0
30 Sep 2023
Learning Spatio-Temporal Model of Disease Progression with NeuralODEs from Longitudinal Volumetric Data
Dmitrii Lachinov
A. Chakravarty
C. Grechenig
U. Schmidt-Erfurth
Hrvoje Bogunović
45
11
0
08 Nov 2022
Metadata-enhanced contrastive learning from retinal optical coherence tomography images
R. Holland
Oliver Leingang
Hrvoje Bogunović
Sophie Riedl
L. Fritsche
...
U. Schmidt-Erfurth
S. Sivaprasad
A. Lotery
Daniel Rueckert
Martin J. Menten
38
9
0
04 Aug 2022
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression
Zhaozhi Qian
W. Zame
L. Fleuren
Paul Elbers
M. Schaar
OOD
38
54
0
05 Jun 2021
Predicting Risk of Developing Diabetic Retinopathy using Deep Learning
Ashish Bora
Siva Balasubramanian
Boris Babenko
S. Virmani
Subhashini Venugopalan
...
D. Webster
A. Varadarajan
N. Hammel
Yun-Hui Liu
Pinal Bavishi
20
143
0
10 Aug 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
299
6,718
0
13 Jun 2020
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
E. Brouwer
Jaak Simm
Adam Arany
Yves Moreau
SyDa
CML
AI4TS
89
292
0
29 May 2019
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
276
5,024
0
19 Jun 2018
1