Copertina

PRISM: A Framework Harnessing Unsupervised Visual Representations and Textual Prompts for Explainable MACE Survival Prediction from Cardiac Cine MRI

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Su, Haoyang, Xiang, Jin-Yi, Rui, Shaohao, Gao, Yifan, Chen, Xingyu, Yin, Tingxuan, Zhang, Shaoting, Wang, Xiaosong, Wu, Lian-Ming
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CardioCoT: Hierarchical Reasoning for Multimodal Survival Analysis
di: Rui, Shaohao, et al.
Pubblicazione: (2025)

CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs
di: Su, Haoyang, et al.
Pubblicazione: (2025)

A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images
di: Gao, Yifan, et al.
Pubblicazione: (2025)

LAMMI-Pathology: A Tool-Centric Bottom-Up LVLM-Agent Framework for Molecularly Informed Medical Intelligence in Pathology
di: Su, Haoyang, et al.
Pubblicazione: (2026)

Graph Image Prior for Unsupervised Dynamic Cardiac Cine MRI Reconstruction
di: Li, Zhongsen, et al.
Pubblicazione: (2024)

Multi-modal Vision Pre-training for Medical Image Analysis
di: Rui, Shaohao, et al.
Pubblicazione: (2024)

Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations
di: Qu, Linhao, et al.
Pubblicazione: (2024)

AdaThink-Med: Medical Adaptive Thinking with Uncertainty-Guided Length Calibration
di: Rui, Shaohao, et al.
Pubblicazione: (2025)

Improving Medical Reasoning with Curriculum-Aware Reinforcement Learning
di: Rui, Shaohao, et al.
Pubblicazione: (2025)

Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction
di: Huang, Wenqi, et al.
Pubblicazione: (2026)

CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation
di: Huang, Zhongzhen, et al.
Pubblicazione: (2024)

Advancing Textual Prompt Learning with Anchored Attributes
di: Li, Zheng, et al.
Pubblicazione: (2024)

Optimizing Cine Cardiac MRI : Technical Advances and Clinical Applications
di: Sadegh Dehghani, et al.
Pubblicazione: (2026)

KP-INR: A Dual-Branch Implicit Neural Representation Model for Cardiac Cine MRI Reconstruction
di: Lyu, Donghang, et al.
Pubblicazione: (2025)

Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation
di: Tian, Xuanyu, et al.
Pubblicazione: (2025)

Dynamic Regularized Adaptive Cluster Optimization (DRACO) for Quantitative Cardiac Cine MRI in Complex Arrhythmias
di: Zhengyang Ming, et al.
Pubblicazione: (2024)

Motion-Robust Deep Reconstruction for Free-Breathing Cardiac Cine MRI
di: Yurt, Mahmut, et al.
Pubblicazione: (2026)

Low Rank Groupwise Deformations for Motion Tracking in Cardiac Cine MRI
di: Rendell, Sean, et al.
Pubblicazione: (2024)

Spatiotemporal Diffusion Model with Paired Sampling for Accelerated Cardiac Cine MRI
di: Qiu, Shihan, et al.
Pubblicazione: (2024)

Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI
di: Qiu, Shihan, et al.
Pubblicazione: (2024)

InvCoSS: Inversion-driven Continual Self-supervised Learning in Medical Multi-modal Image Pre-training
di: Luo, Zihao, et al.
Pubblicazione: (2025)

Deep‐Learning‐Based Disease Classification in Patients Undergoing Cine Cardiac MRI
di: Athira J. Jacob, et al.
Pubblicazione: (2024)

PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts
di: Li, Hao, et al.
Pubblicazione: (2024)

Cardiac MRI as Living Histology: Tissue‐Based Risk Stratification After STEMI
di: Xing‐Yu Gu, et al.
Pubblicazione: (2026)

A Novel Deep Learning Method for Segmenting the Left Ventricle in Cardiac Cine MRI
di: Chu, Wenhui, et al.
Pubblicazione: (2026)

Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation
di: Ye, Meng, et al.
Pubblicazione: (2024)

Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base
di: Zhao, Yidong, et al.
Pubblicazione: (2024)

Two Deep Learning Approaches for Automated Segmentation of Left Ventricle in Cine Cardiac MRI
di: Chu, Wenhui, et al.
Pubblicazione: (2026)

CMRINet: Joint Groupwise Registration and Segmentation for Cardiac Function Quantification from Cine-MRI
di: Elmahdy, Mohamed S., et al.
Pubblicazione: (2025)

Visual Textualization for Image Prompted Object Detection
di: Wu, Yongjian, et al.
Pubblicazione: (2025)

PRISM: Privacy-preserving Inter-Site MRI Harmonization via Disentangled Representation Learning
di: Galada, Sarang, et al.
Pubblicazione: (2024)

Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging
di: Huang, Wenqi, et al.
Pubblicazione: (2024)

Eliciting Textual Descriptions from Representations of Continuous Prompts
di: Ramati, Dana, et al.
Pubblicazione: (2024)

Think Twice to See More: Iterative Visual Reasoning in Medical VLMs
di: Chen, Kaitao, et al.
Pubblicazione: (2025)

Fully Automated Assessment of Cardiac Coverage in Cine Cardiovascular Magnetic Resonance Images using an Explainable Deep Visual Salient Region Detection Model
di: Nabavi, Shahabedin, et al.
Pubblicazione: (2022)

Reconstruction of Cardiac Cine MRI Using Motion-Guided Deformable Alignment and Multi-Resolution Fusion
di: Han, Xiaoxiang, et al.
Pubblicazione: (2023)

Classification of Mitral Regurgitation from Cardiac Cine MRI using Clinically-Interpretable Morphological Features
di: On, Y., et al.
Pubblicazione: (2024)

Reconstruction of Cardiac Cine MRI Using Motion‐Guided Deformable Alignment and Multi‐Resolution Fusion
di: Xiaoxiang Han, et al.
Pubblicazione: (2024)

Visual and Textual Prompts in VLLMs for Enhancing Emotion Recognition
di: Wang, Zhifeng, et al.
Pubblicazione: (2025)

Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification
di: Qu, Linhao, et al.
Pubblicazione: (2024)