Image de couverture de livre

Multitask Multimodal Self-Supervised Learning for Medical Images

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Simionescu, Cristian
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition
par: Feng, Hao, et autres
Publié: (2024)

MultiMed: Massively Multimodal and Multitask Medical Understanding
par: Mo, Shentong, et autres
Publié: (2024)

Evaluating Self-Supervised Learning in Medical Imaging: A Benchmark for Robustness, Generalizability, and Multi-Domain Impact
par: Bundele, Valay, et autres
Publié: (2024)

Learning with Preserving for Continual Multitask Learning
par: Wang, Hanchen David, et autres
Publié: (2025)

SupReMix: Supervised Contrastive Learning for Medical Imaging Regression with Mixup
par: Wu, Yilei, et autres
Publié: (2023)

A Multimodal, Multitask System for Generating E Commerce Text Listings from Images
par: Singh, Nayan Kumar
Publié: (2025)

DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training
par: Jimenez-Perez, Guillermo, et autres
Publié: (2024)

Self-Supervised Learning of Color Constancy
par: Ernst, Markus R., et autres
Publié: (2024)

Blockwise Self-Supervised Learning at Scale
par: Siddiqui, Shoaib Ahmed, et autres
Publié: (2023)

Temporal Embeddings: Scalable Self-Supervised Temporal Representation Learning from Spatiotemporal Data for Multimodal Computer Vision
par: Cao, Yi, et autres
Publié: (2023)

On Pretraining Data Diversity for Self-Supervised Learning
par: Hammoud, Hasan Abed Al Kader, et autres
Publié: (2024)

Rethinking The Uniformity Metric in Self-Supervised Learning
par: Fang, Xianghong, et autres
Publié: (2024)

Matrix Information Theory for Self-Supervised Learning
par: Zhang, Yifan, et autres
Publié: (2023)

Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection Engine
par: Li, Zhi, et autres
Publié: (2024)

Self-Supervised Learning for Identifying Defects in Sewer Footage
par: Otero, Daniel, et autres
Publié: (2024)

LDReg: Local Dimensionality Regularized Self-Supervised Learning
par: Huang, Hanxun, et autres
Publié: (2024)

A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
par: Khan, Asifullah, et autres
Publié: (2024)

Self-Supervised Image Super-Resolution Quality Assessment based on Content-Free Multi-Model Oriented Representation Learning
par: Majlessi, Kian, et autres
Publié: (2026)

Multi-Level Knowledge Distillation and Dynamic Self-Supervised Learning for Continual Learning
par: Kim, Taeheon, et autres
Publié: (2025)

Semi-Supervised 3D Medical Segmentation from 2D Natural Images Pretrained Model
par: Yeung, Pak-Hei, et autres
Publié: (2025)

Divide and Conquer Self-Supervised Learning for High-Content Imaging
par: Farndale, Lucas, et autres
Publié: (2025)

A Self-Supervised Framework for Improved Generalisability in Ultrasound B-mode Image Segmentation
par: Ellis, Edward, et autres
Publié: (2025)

Exploring Compositional Generalization of Multimodal LLMs for Medical Imaging
par: Cai, Zhenyang, et autres
Publié: (2024)

Dense Self-Supervised Learning for Medical Image Segmentation
par: Seince, Maxime, et autres
Publié: (2024)

Dual-Model Weight Selection and Self-Knowledge Distillation for Medical Image Classification
par: Tsutsumi, Ayaka, et autres
Publié: (2025)

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
par: Balestriero, Randall, et autres
Publié: (2025)

From Semantic To Instance: A Semi-Self-Supervised Learning Approach
par: Najafian, Keyhan, et autres
Publié: (2025)

SITS-DECO: A Generative Decoder Is All You Need For Multitask Satellite Image Time Series Modelling
par: Barrett, Samuel J., et autres
Publié: (2025)

Learning Semantic Segmentation with Query Points Supervision on Aerial Images
par: Rivier, Santiago, et autres
Publié: (2023)

Learning to Edit Visual Programs with Self-Supervision
par: Jones, R. Kenny, et autres
Publié: (2024)

Integrating Medical Imaging and Clinical Reports Using Multimodal Deep Learning for Advanced Disease Analysis
par: Yao, Ziyan, et autres
Publié: (2024)

GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning
par: Feizi, Aarash, et autres
Publié: (2024)

Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
par: Vo, Huy V., et autres
Publié: (2024)

Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification
par: Zhu, Xun, et autres
Publié: (2026)

Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation
par: Carlesso, Hugo, et autres
Publié: (2025)

UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity
par: Yu, Junwei, et autres
Publié: (2025)

Self-Supervised Learning Strategies for a Platform to Test the Toxicity of New Chemicals and Materials
par: Lautenschlager, Thomas, et autres
Publié: (2025)

Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum
par: Lu, Wenquan, et autres
Publié: (2025)

Transformer-Based Self-Supervised Learning for Histopathological Classification of Ischemic Stroke Clot Origin
par: Yeh, K., et autres
Publié: (2024)

Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning
par: Liu, Yuti, et autres
Publié: (2024)