Cover Image

Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qu, Linhao, Huang, Dan, Zhang, Shaoting, Wang, Xiaosong
Format:	Preprint
Published:	2024
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

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

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

DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
by: Ye, Hanrong, et al.
Published: (2024)

DRIMV_TSK: An Interpretable Surgical Evaluation Model for Incomplete Multi-View Rectal Cancer Data
by: Zhang, Wei, et al.
Published: (2025)

Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional
by: Madaan, Divyam, et al.
Published: (2025)

Improving Medical Multi-modal Contrastive Learning with Expert Annotations
by: Kumar, Yogesh, et al.
Published: (2024)

Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations
by: You, Chenyu, et al.
Published: (2024)

Distilled Prompt Learning for Incomplete Multimodal Survival Prediction
by: Xu, Yingxue, et al.
Published: (2025)

Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data
by: Qayyum, Alif Bin Abdul, et al.
Published: (2024)

Path-GPTOmic: A Balanced Multi-modal Learning Framework for Survival Outcome Prediction
by: Wang, Hongxiao, et al.
Published: (2024)

Global-Graph Guided and Local-Graph Weighted Contrastive Learning for Unified Clustering on Incomplete and Noise Multi-View Data
by: He, Hongqing, et al.
Published: (2025)

Simultaneous Long-tailed Recognition and Multi-modal Fusion for Highly Imbalanced Multi-modal Data
by: Yoon, Heegeon, et al.
Published: (2026)

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
by: Wang, Hu, et al.
Published: (2023)

CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network
by: Wen, Jie, et al.
Published: (2024)

Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model
by: You, Junqi, et al.
Published: (2024)

Hyperbolic Enhanced Representation Learning for Incomplete Multi-view Clustering
by: Chen, Tianyi, et al.
Published: (2026)

Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data
by: Harrison, Josie, et al.
Published: (2024)

BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations
by: Chen, Yuanhong, et al.
Published: (2023)

PathoTune: Adapting Visual Foundation Model to Pathological Specialists
by: Lu, Jiaxuan, et al.
Published: (2024)

Concepts or Skills? Rethinking Instruction Selection for Multi-modal Models
by: Bai, Andrew, et al.
Published: (2025)

PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classification
by: Wang, Zhenwei, et al.
Published: (2024)

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
by: Liu, Dongyang, et al.
Published: (2024)

Inconsistency-Based Data-Centric Active Open-Set Annotation
by: Mao, Ruiyu, et al.
Published: (2024)

Mask-informed Deep Contrastive Incomplete Multi-view Clustering
by: Li, Zhenglai, et al.
Published: (2025)

Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance
by: Jin, Jiaqi, et al.
Published: (2025)

Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach
by: Huang, Linhao, et al.
Published: (2025)

ME-Mamba: Multi-Expert Mamba with Efficient Knowledge Capture and Fusion for Multimodal Survival Analysis
by: Zhang, Chengsheng, et al.
Published: (2025)

MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data
by: Li, Zongxia, et al.
Published: (2026)

Towards Robust Uncertainty-Aware Incomplete Multi-View Classification
by: Chen, Mulin, et al.
Published: (2024)

GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs
by: Hua, Pu, et al.
Published: (2024)

Multi-level and Multi-modal Action Anticipation
by: Kim, Seulgi, et al.
Published: (2025)

Disjoint Contrastive Regression Learning for Multi-Sourced Annotations
by: Ruan, Xiaoqian, et al.
Published: (2021)

Multi-level Cross-modal Alignment for Image Clustering
by: Qiu, Liping, et al.
Published: (2024)

CenTime: Event-Conditional Modelling of Censoring in Survival Analysis
by: Shahin, Ahmed H., et al.
Published: (2023)

SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction
by: Chen, Ying, et al.
Published: (2024)

Visual Hallucinations of Multi-modal Large Language Models
by: Huang, Wen, et al.
Published: (2024)

Improve Cross-Architecture Generalization on Dataset Distillation
by: Zhou, Binglin, et al.
Published: (2024)

ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view Clustering
by: Fang, Xiang, et al.
Published: (2020)

Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives
by: Luo, Sheng, et al.
Published: (2024)

A Concise yet Effective model for Non-Aligned Incomplete Multi-view and Missing Multi-label Learning
by: Li, Xiang, et al.
Published: (2020)