Saved in:
| Main Authors: | Huang, Yuqing, Wittmann, Bastian, Demler, Olga, Menze, Bjoern, Davoudi, Neda |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.05597 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Cardiovascular Disease Prediction through Multi-Modal Self-Supervised Learning
by: Girlanda, Francesco, et al.
Published: (2024)
by: Girlanda, Francesco, et al.
Published: (2024)
Advancing Stroke Risk Prediction Using a Multi-modal Foundation Model
by: Delgrange, Camille, et al.
Published: (2024)
by: Delgrange, Camille, et al.
Published: (2024)
Link Prediction for Flow-Driven Spatial Networks
by: Wittmann, Bastian, et al.
Published: (2023)
by: Wittmann, Bastian, et al.
Published: (2023)
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
by: Wittmann, Bastian, et al.
Published: (2024)
by: Wittmann, Bastian, et al.
Published: (2024)
Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision
by: Dong, Hao, et al.
Published: (2024)
by: Dong, Hao, et al.
Published: (2024)
Sparse Representation Learning for Vessels
by: Prabhakar, Chinmay, et al.
Published: (2026)
by: Prabhakar, Chinmay, et al.
Published: (2026)
Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networks
by: Wu, Yuli, et al.
Published: (2024)
by: Wu, Yuli, et al.
Published: (2024)
Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models
by: Haouari, Zeineb, et al.
Published: (2025)
by: Haouari, Zeineb, et al.
Published: (2025)
Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere
by: Li, Hongwei Bran, et al.
Published: (2024)
by: Li, Hongwei Bran, et al.
Published: (2024)
Multimodal Learning on Low-Quality Data with Conformal Predictive Self-Calibration
by: Jiang, Xun, et al.
Published: (2026)
by: Jiang, Xun, et al.
Published: (2026)
A Survey on Self-supervised Contrastive Learning for Multimodal Text-Image Analysis
by: Khan, Asifullah, et al.
Published: (2025)
by: Khan, Asifullah, et al.
Published: (2025)
MRI2Qmap: multi-parametric quantitative mapping with MRI-driven denoising priors
by: Golbabaee, Mohammad, et al.
Published: (2026)
by: Golbabaee, Mohammad, et al.
Published: (2026)
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations
by: Lux, Laurin, et al.
Published: (2025)
by: Lux, Laurin, et al.
Published: (2025)
Self-Supervised Learning Featuring Small-Scale Image Dataset for Treatable Retinal Diseases Classification
by: Huang, Luffina C., et al.
Published: (2024)
by: Huang, Luffina C., et al.
Published: (2024)
VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation
by: Prabhakar, Chinmay, et al.
Published: (2026)
by: Prabhakar, Chinmay, et al.
Published: (2026)
Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting
by: Mayo, Perla, et al.
Published: (2024)
by: Mayo, Perla, et al.
Published: (2024)
Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images
by: Wittmann, Bastian, et al.
Published: (2024)
by: Wittmann, Bastian, et al.
Published: (2024)
BRIDLE: Generalized Self-supervised Learning with Quantization
by: Nguyen, Hoang M., et al.
Published: (2025)
by: Nguyen, Hoang M., et al.
Published: (2025)
Augmentation-aware Self-supervised Learning with Conditioned Projector
by: Przewięźlikowski, Marcin, et al.
Published: (2023)
by: Przewięźlikowski, Marcin, et al.
Published: (2023)
Mixed Autoencoder for Self-supervised Visual Representation Learning
by: Chen, Kai, et al.
Published: (2023)
by: Chen, Kai, et al.
Published: (2023)
Transformer-Based Classification Outcome Prediction for Multimodal Stroke Treatment
by: Ma, Danqing, et al.
Published: (2024)
by: Ma, Danqing, et al.
Published: (2024)
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning
by: Zhao, Shuai, et al.
Published: (2025)
by: Zhao, Shuai, et al.
Published: (2025)
oculomix: Hierarchical Sampling for Retinal-Based Systemic Disease Prediction
by: Kim, Hyunmin, et al.
Published: (2026)
by: Kim, Hyunmin, et al.
Published: (2026)
Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal Imaging
by: Wang, Jiacheng, et al.
Published: (2024)
by: Wang, Jiacheng, et al.
Published: (2024)
VariViT: A Vision Transformer for Variable Image Sizes
by: Varma, Aswathi, et al.
Published: (2026)
by: Varma, Aswathi, et al.
Published: (2026)
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
by: Gidaris, Spyros, et al.
Published: (2023)
by: Gidaris, Spyros, et al.
Published: (2023)
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
by: Sirko-Galouchenko, Sophia, et al.
Published: (2024)
by: Sirko-Galouchenko, Sophia, et al.
Published: (2024)
Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
by: Balmaseda, Vicente, et al.
Published: (2025)
by: Balmaseda, Vicente, et al.
Published: (2025)
Beyond Instance Consistency: Investigating View Diversity in Self-supervised Learning
by: Qin, Huaiyuan, et al.
Published: (2025)
by: Qin, Huaiyuan, et al.
Published: (2025)
Random Walks in Self-supervised Learning for Triangular Meshes
by: Yefet, Gal, et al.
Published: (2025)
by: Yefet, Gal, et al.
Published: (2025)
Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning
by: Harilal, Nidhin, et al.
Published: (2024)
by: Harilal, Nidhin, et al.
Published: (2024)
Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
by: Mishra, Divyanshu, et al.
Published: (2025)
by: Mishra, Divyanshu, et al.
Published: (2025)
PARASIDE: An Automatic Paranasal Sinus Segmentation and Structure Analysis Tool for MRI
by: Möller, Hendrik, et al.
Published: (2025)
by: Möller, Hendrik, et al.
Published: (2025)
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning
by: Qi, Qi, et al.
Published: (2024)
by: Qi, Qi, et al.
Published: (2024)
Self-supervised Learning for Hyperspectral Images of Trees
by: Rahman, Moqsadur, et al.
Published: (2025)
by: Rahman, Moqsadur, et al.
Published: (2025)
Self-supervised Transformation Learning for Equivariant Representations
by: Yu, Jaemyung, et al.
Published: (2025)
by: Yu, Jaemyung, et al.
Published: (2025)
Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces
by: Wang, Jiahong, et al.
Published: (2024)
by: Wang, Jiahong, et al.
Published: (2024)
StoDIP: Efficient 3D MRF image reconstruction with deep image priors and stochastic iterations
by: Mayo, Perla, et al.
Published: (2024)
by: Mayo, Perla, et al.
Published: (2024)
MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models
by: Royer, Corentin, et al.
Published: (2024)
by: Royer, Corentin, et al.
Published: (2024)
Visualizing the loss landscape of Self-supervised Vision Transformer
by: Lee, Youngwan, et al.
Published: (2024)
by: Lee, Youngwan, et al.
Published: (2024)
Similar Items
-
Enhancing Cardiovascular Disease Prediction through Multi-Modal Self-Supervised Learning
by: Girlanda, Francesco, et al.
Published: (2024) -
Advancing Stroke Risk Prediction Using a Multi-modal Foundation Model
by: Delgrange, Camille, et al.
Published: (2024) -
Link Prediction for Flow-Driven Spatial Networks
by: Wittmann, Bastian, et al.
Published: (2023) -
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
by: Wittmann, Bastian, et al.
Published: (2024) -
Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision
by: Dong, Hao, et al.
Published: (2024)