Cover Image

Stochastic Siamese MAE Pretraining for Longitudinal Medical Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Emre, Taha, Chakravarty, Arunava, Pinetz, Thomas, Lachinov, Dmitrii, Menten, Martin J., Scholl, Hendrik, Sivaprasad, Sobha, Rueckert, Daniel, Lotery, Andrew, Sacu, Stefan, Schmidt-Erfurth, Ursula, Bogunović, Hrvoje
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT
by: Chakravarty, Arunava, et al.
Published: (2024)

3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs
by: Emre, Taha, et al.
Published: (2023)

Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations
by: Emre, Taha, et al.
Published: (2024)

Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT
by: Chakravarty, Arunava, et al.
Published: (2023)

Spatiotemporal Representation Learning for Short and Long Medical Image Time Series
by: Shen, Chengzhi, et al.
Published: (2024)

Automatic detection and prediction of nAMD activity change in retinal OCT using Siamese networks and Wasserstein Distance for ordinality
by: Emre, Taha, et al.
Published: (2025)

Metadata-enhanced contrastive learning from retinal optical coherence tomography images
by: Holland, Robbie, et al.
Published: (2022)

Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation
by: Morano, José, et al.
Published: (2023)

Deep-learning-based clustering of OCT images for biomarker discovery in age-related macular degeneration (Pinnacle study report 4)
by: Holland, Robbie, et al.
Published: (2024)

GARD: Gamma-based Anatomical Restoration and Denoising for Retinal OCT
by: Fazekas, Botond, et al.
Published: (2025)

Specialized curricula for training vision-language models in retinal image analysis
by: Holland, Robbie, et al.
Published: (2024)

RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models
by: Fecso, Ronald, et al.
Published: (2025)

Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaption of Medical Image Segmentation
by: Pinetz, Thomas, et al.
Published: (2026)

Deep Multimodal Fusion of Data with Heterogeneous Dimensionality via Projective Networks
by: Morano, José, et al.
Published: (2024)

SD-RetinaNet: Topologically Constrained Semi-Supervised Retinal Lesion and Layer Segmentation in OCT
by: Fazekas, Botond, et al.
Published: (2025)

MIRAGE: Multimodal foundation model and benchmark for comprehensive retinal OCT image analysis
by: Morano, José, et al.
Published: (2025)

Comparison of AI‐based retinal fluid monitoring in neovascular age‐related macular degeneration with manual assessment by different eye care professionals under optimized conditions
by: Martin Michl, et al.
Published: (2025)

Correlation of retinal fluid and photoreceptor and RPE loss in neovascular AMD by automated quantification, a real‐world FRB! analysis
by: Virginia Mares, et al.
Published: (2024)

Associations of neurovascular dysfunction with inner retinal layer thickness in non‐proliferative diabetic retinopathy
by: Berthold Pemp, et al.
Published: (2024)

Normative prospective data on automatically quantified retinal morphology correlated to retinal function in healthy ageing eyes by two microperimetry devices
by: Klaudia Birner, et al.
Published: (2024)

Influence of different fluid types on the development of fibrosis and atrophy in patients with nAMD
by: Guenther Weigert, et al.
Published: (2024)

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis
by: Oghbaie, Marzieh, et al.
Published: (2025)

RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification
by: Morano, José, et al.
Published: (2024)

Comparative Analysis of Data Augmentation for Retinal OCT Biomarker Segmentation
by: Unterdechler, Markus, et al.
Published: (2024)

PSScreen V2: Partially Supervised Multiple Retinal Disease Screening
by: Zheng, Boyi, et al.
Published: (2025)

Weighting What Matters: Boosting Sample Efficiency in Medical Report Generation via Token Reweighting
by: Weers, Alexander, et al.
Published: (2026)

Blood vessel segmentation in en-face OCTA images: a frequency based method
by: Breger, Anna, et al.
Published: (2021)

Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training
by: Usynin, Dmitrii, et al.
Published: (2023)

Geographic atrophy (GA) secondary to AMD: Online medical education can significantly improve ophthalmologists' knowledge and confidence on evidence‐based guidance for patient management
by: Siggi Trier, et al.
Published: (2024)

A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
by: Mildenberger, David, et al.
Published: (2025)

Towards Generalisable Time Series Understanding Across Domains
by: Turgut, Özgün, et al.
Published: (2024)

DailyMAE: Towards Pretraining Masked Autoencoders in One Day
by: Wu, Jiantao, et al.
Published: (2024)

Progression of diabetic retinopathy during pregnancy: Retrospective study from birmingham and solihull
by: Ahmad Khalifa, et al.
Published: (2025)

SLAP: Siamese Language-Audio Pretraining Without Negative Samples for Music Understanding
by: Guinot, Julien, et al.
Published: (2025)

Long‐term impact of low‐energy femtosecond laser and manual cataract surgery on macular layer thickness: A prospective randomized study
by: Luca Schwarzenbacher, et al.
Published: (2024)

Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations
by: Lux, Laurin, et al.
Published: (2025)

Siamese Networks with Soft Labels for Unsupervised Lesion Detection and Patch Pretraining on Screening Mammograms
by: Van Vorst, Kevin, et al.
Published: (2024)

Quantum Computation Using Large Spin Qudits
by: Omanakuttan, Sivaprasad
Published: (2024)

Minimizing classical resources in variational measurement-based quantum computation for generative modeling
by: Majumder, Arunava, et al.
Published: (2026)

uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with Unsupervised Audio Mixtures
by: Tabassum, Afrina, et al.
Published: (2024)