Copertina

Self-Supervised Contrastive Learning for Cardiac MR Sequence Classification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Yuli, Jung, Hyewon, Peng, Dongshen, Dai, Yuwei, Wu, Jing, Guan, Haoyue, Kato, Yoko, Jiao, Zhicheng, Sun, Yu, Kamel, Ihab, Lima, Joao, Lin, Cheng Ting, Bai, Harrison
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Image and Video Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection
di: Wang, Yuli, et al.
Pubblicazione: (2025)

Federated Learning for Renal Tumor Segmentation and Classification on Multi‐Center MRI Dataset
di: Dat‐Thanh Nguyen, et al.
Pubblicazione: (2025)

SurgRFO: Foundation Model Based Compositional Synthesis of Critical Retained Foreign Objects in Intraoperative Chest X-rays
di: Hu, Yuanyun, et al.
Pubblicazione: (2026)

Optimizing Prompt Strategies for SAM: Advancing lesion Segmentation Across Diverse Medical Imaging Modalities
di: Wang, Yuli, et al.
Pubblicazione: (2024)

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision
di: Myara, Alexandre, et al.
Pubblicazione: (2026)

Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for Pulmonary Embolism Diagnosis and Report Generation from CTPA
di: Zhong, Zhusi, et al.
Pubblicazione: (2025)

Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches
di: Bai, Haoyue
Pubblicazione: (2024)

AI Model Integrating Imaging and Clinical Data for Predicting CSF Diversion in Neonatal Hydrocephalus: A Preliminary Study
di: Yuwei Dai, et al.
Pubblicazione: (2025)

Finding "Good Views" of Electrocardiogram Signals for Inferring Abnormalities in Cardiac Condition
di: Jeong, Hyewon, et al.
Pubblicazione: (2024)

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification
di: Wang, Chenxu, et al.
Pubblicazione: (2026)

Type Information-Assisted Self-Supervised Knowledge Graph Denoising
di: Sun, Jiaqi, et al.
Pubblicazione: (2025)

Contrastive Learning for Semi-Supervised Deep Regression with Generalized Ordinal Rankings from Spectral Seriation
di: Wang, Ce, et al.
Pubblicazione: (2025)

A multitask framework for automated interpretation of multi-frame right upper quadrant ultrasound in clinical decision support
di: Guo, Haiman, et al.
Pubblicazione: (2026)

Flow Matching-enabled Test-Time Refinement for Unsupervised Cardiac MR Registration
di: Fu, Yunguan, et al.
Pubblicazione: (2026)

Benchmarking Self-Supervised Models for Cardiac Ultrasound View Classification
di: Megahed, Youssef, et al.
Pubblicazione: (2026)

CLIC: Contextual Language-Informed Cardiac Pathology Classification
di: Lucafo, Giovani D., et al.
Pubblicazione: (2026)

Mitigating Spurious Correlations in Patch-wise Tumor Classification on High-Resolution Multimodal Images
di: Asaad, Ihab, et al.
Pubblicazione: (2025)

Escala de Miedo a la Evaluación Negativa y Escala de Evitación y Malestar Social: fiabilidad y validez en una muestra de adolescentes españoles
di: Ihab Zubeidat
Pubblicazione: (2007)

Evaluación de factores asociados a la ansiedad social y a otras psicopatologías en adolescentes
di: Ihab Zubeidat
Pubblicazione: (2008)

Spatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images
di: Shaik, Nagur Shareef, et al.
Pubblicazione: (2024)

Chaotic Contrastive Learning for Robust Texture Classification
di: Florindo, Joao B
Pubblicazione: (2026)

Rank Supervised Contrastive Learning for Time Series Classification
di: Ren, Qianying, et al.
Pubblicazione: (2024)

CLASS: Contrastive Learning via Action Sequence Supervision for Robot Manipulation
di: Lee, Sung-Wook, et al.
Pubblicazione: (2025)

IntelliCardiac: An Intelligent Platform for Cardiac Image Segmentation and Classification
di: Tsai, Ting Yu, et al.
Pubblicazione: (2025)

Predicting Classification Accuracy When Adding New Unobserved Classes
di: Slavutsky, Yuli, et al.
Pubblicazione: (2020)

Immune Cell Dynamics in Cardiac Diseases: Insights From Single‐Cell Sequencing
di: Weirong Zeng, et al.
Pubblicazione: (2025)

Bifunctional Interactive Light‐Emitting Devices Based on Hydrogel Microspheres
di: Ting Wang, et al.
Pubblicazione: (2025)

Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification
di: Shiri, Mohammad, et al.
Pubblicazione: (2024)

Mixed Graph Contrastive Network for Semi-Supervised Node Classification
di: Yang, Xihong, et al.
Pubblicazione: (2022)

Presumptive Congenital Unilateral Renal Agenesis With Contralateral Dysplasia/Hypoplasia in a Golden Retriever
di: Hyewon Moon
Pubblicazione: (2026)

Approaching Low-Cost Cardiac Intelligence with Semi-Supervised Knowledge Distillation
di: Zhou, Rushuang, et al.
Pubblicazione: (2025)

Utility of Iron Staining in Bone Marrow Aspirates in the Era of Next‐Generation Sequencing: A Retrospective Single‐Centre Study
di: Vibooshini Ganeshalingam, et al.
Pubblicazione: (2026)

A comprehensive study of EEG-based control of artificial arms
di: Ihab Abdulrahman Satam
Pubblicazione: (2023)

Design and implementation of a smart sterilizing device to solve the doorknob contamination problem
di: Ihab Abdulrahman Satam
Pubblicazione: (2022)

Crab: Multi Layer Contrastive Supervision to Improve Speech Emotion Recognition Under Both Acted and Natural Speech Condition
di: Ueda, Lucas H., et al.
Pubblicazione: (2026)

Temporal Contrastive Transformer for Financial Crime Detection: Self-Supervised Sequence Embeddings via Predictive Contrastive Coding
di: Butvinik, Danny, et al.
Pubblicazione: (2026)

Language Models are Better Bug Detector Through Code-Pair Classification
di: Alrashedy, Kamel, et al.
Pubblicazione: (2023)

Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
di: Cai, Miaomiao, et al.
Pubblicazione: (2024)

Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
di: Qiu, Shuang, et al.
Pubblicazione: (2022)

Contrastive and Variational Approaches in Self-Supervised Learning for Complex Data Mining
di: Liang, Yingbin, et al.
Pubblicazione: (2025)