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TINC: Temporally Informed Non-Contrastive Learning for Disease
  Progression Modeling in Retinal OCT Volumes

TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes

30 June 2022
T. Emre
A. Chakravarty
Antoine Rivail
Sophie Riedl
U. Schmidt-Erfurth
Hrvoje Bogunović
ArXiv (abs)PDFHTML

Papers citing "TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes"

10 / 10 papers shown
Title
Learning Disease State from Noisy Ordinal Disease Progression Labels
Gustav Schmidt
Holger Heidrich
Philipp Berens
Sarah Muller
NoLa
142
0
0
13 Mar 2025
Forecasting Disease Progression with Parallel Hyperplanes in
  Longitudinal Retinal OCT
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT
A. Chakravarty
T. Emre
Dmitrii Lachinov
Antoine Rivail
H. Scholl
...
S. Sivaprasad
Daniel Rueckert
A. Lotery
U. Schmidt-Erfurth
Hrvoje Bogunović
114
0
0
30 Sep 2024
Masked Image Modelling for retinal OCT understanding
Masked Image Modelling for retinal OCT understanding
Theodoros Pissas
Pablo Márquez-Neila
Sebastian Wolf
M. Zinkernagel
Raphael Sznitman
49
1
0
23 May 2024
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease
  Progression from Longitudinal OCTs
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs
T. Emre
A. Chakravarty
Antoine Rivail
Dmitrii Lachinov
Oliver Leingang
...
S. Sivaprasad
Daniel Rueckert
A. Lotery
U. Schmidt-Erfurth
Hrvoje Bogunović
MedIm
67
3
0
28 Dec 2023
Longitudinal Self-supervised Learning Using Neural Ordinary Differential
  Equation
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
76
4
0
16 Oct 2023
LMT: Longitudinal Mixing Training, a Framework to Predict Disease
  Progression from a Single Image
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
84
4
0
16 Oct 2023
Towards multi-modal anatomical landmark detection for ultrasound-guided
  brain tumor resection with contrastive learning
Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning
Soorena Salari
Amir Rasoulian
H. Rivaz
Yiming Xiao
92
5
0
26 Jul 2023
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from
  Retinal OCT
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT
T. Emre
Marzieh Oghbaie
A. Chakravarty
Antoine Rivail
Sophie Riedl
...
S. Sivaprasad
Daniel Rueckert
A. Lotery
U. Schmidt-Erfurth
Hrvoje Bogunović
MedIm
78
1
0
25 Jul 2023
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD
  Progression from OCT
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT
A. Chakravarty
T. Emre
Oliver Leingang
Sophie Riedl
Julia Mai
...
S. Sivaprasad
Daniel Rueckert
A. Lotery
U. Schmidt-Erfurth
Hrvoje Bogunović
58
1
0
17 Apr 2023
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
326
4,109
0
17 Jun 2020
1