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Clustering disease trajectories in contrastive feature space for
  biomarker discovery in age-related macular degeneration

Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration

11 January 2023
R. Holland
Oliver Leingang
Christopher Holmes
Philipp Anders
Rebecca Kaye
Sophie Riedl
Johannes C. Paetzold
Ivan Ezhov
Hrvoje Bogunović
U. Schmidt-Erfurth
L. Fritsche
H. Scholl
S. Sivaprasad
A. Lotery
Daniel Rueckert
M. Menten
ArXivPDFHTML

Papers citing "Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration"

3 / 3 papers shown
Title
Semi-Supervised Generative Models for Disease Trajectories: A Case Study
  on Systemic Sclerosis
Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis
Cécile Trottet
Manuel Schürch
Ahmed Allam
Imon Barua
L. Petelytska
...
Mislav Radic
Oliver Distler
A. Hoffmann-Vold
Michael Krauthammer
Eustar collaborators
MedIm
27
0
0
16 Jul 2024
Clustering of Disease Trajectories with Explainable Machine Learning: A
  Case Study on Postoperative Delirium Phenotypes
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes
Xiaochen Zheng
Manuel Schürch
Xingyu Chen
M. A. Komninou
Reto Schüpbach
Ahmed Allam
Jan Bartussek
Michael Krauthammer
21
0
0
06 May 2024
Soft-DTW: a Differentiable Loss Function for Time-Series
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi
Mathieu Blondel
AI4TS
141
611
0
05 Mar 2017
1