PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities
Fuente:
arXiv
Saved in:
| Main Authors: | Yu, Kai, Zhou, Shuang, Song, Yiran, Zhan, Zaifu, Peng, Jie, Zhou, Kaixiong, Chen, Tianlong, Xie, Feng, Wang, Meng, Fu, Huazhu, Lin, Mingquan, Zhang, Rui |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Continually Evolved Multimodal Foundation Models for Cancer Prognosis
by: Peng, Jie, et al.
Published: (2025)
by: Peng, Jie, et al.
Published: (2025)
MedCL-Bench: Benchmarking stability-efficiency trade-offs and scaling in biomedical continual learning
by: Zeng, Min, et al.
Published: (2026)
by: Zeng, Min, et al.
Published: (2026)
RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements
by: Zhan, Zaifu, et al.
Published: (2024)
by: Zhan, Zaifu, et al.
Published: (2024)
EPEE: Towards Efficient and Effective Foundation Models in Biomedicine
by: Zhan, Zaifu, et al.
Published: (2025)
by: Zhan, Zaifu, et al.
Published: (2025)
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning
by: Zhan, Zaifu, et al.
Published: (2025)
by: Zhan, Zaifu, et al.
Published: (2025)
EpiScreen: Early Epilepsy Detection from Electronic Health Records with Large Language Models
by: Zhou, Shuang, et al.
Published: (2026)
by: Zhou, Shuang, et al.
Published: (2026)
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models
by: Zhan, Zaifu, et al.
Published: (2024)
by: Zhan, Zaifu, et al.
Published: (2024)
Data-Efficient Biomedical In-Context Learning: A Diversity-Enhanced Submodular Perspective
by: Wang, Jun, et al.
Published: (2025)
by: Wang, Jun, et al.
Published: (2025)
Benchmark on Drug Target Interaction Modeling from a Drug Structure Perspective
by: Zhang, Xinnan, et al.
Published: (2024)
by: Zhang, Xinnan, et al.
Published: (2024)
Two-Stage Decoupling Framework for Variable-Length Glaucoma Prognosis
by: Song, Yiran, et al.
Published: (2025)
by: Song, Yiran, et al.
Published: (2025)
Benchmarking GPT-5 for biomedical natural language processing
by: Hou, Yu, et al.
Published: (2025)
by: Hou, Yu, et al.
Published: (2025)
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality
by: Le, Huy Q., et al.
Published: (2024)
by: Le, Huy Q., et al.
Published: (2024)
An evaluation of DeepSeek Models in Biomedical Natural Language Processing
by: Zhan, Zaifu, et al.
Published: (2025)
by: Zhan, Zaifu, et al.
Published: (2025)
Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast
by: Bao, Guangyin, et al.
Published: (2023)
by: Bao, Guangyin, et al.
Published: (2023)
To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering
by: Zhan, Zaifu, et al.
Published: (2026)
by: Zhan, Zaifu, et al.
Published: (2026)
MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise
by: Wu, Ruiqi, et al.
Published: (2024)
by: Wu, Ruiqi, et al.
Published: (2024)
Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation
by: Nguyen, Duy A., et al.
Published: (2025)
by: Nguyen, Duy A., et al.
Published: (2025)
Can Large Language Models Self-Correct in Medical Question Answering? An Exploratory Study
by: Zhan, Zaifu, et al.
Published: (2026)
by: Zhan, Zaifu, et al.
Published: (2026)
Cross-Lingual Multi-Hop Knowledge Editing
by: Khandelwal, Aditi, et al.
Published: (2024)
by: Khandelwal, Aditi, et al.
Published: (2024)
AMD-Mamba: A Phenotype-Aware Multi-Modal Framework for Robust AMD Prognosis
by: Wu, Puzhen, et al.
Published: (2025)
by: Wu, Puzhen, et al.
Published: (2025)
Multimodal Sentiment Analysis with Missing Modality: A Knowledge-Transfer Approach
by: Liu, Weide, et al.
Published: (2023)
by: Liu, Weide, et al.
Published: (2023)
PPBoost: Progressive Prompt Boosting for Text-Driven Medical Image Segmentation
by: Li, Xuchen, et al.
Published: (2025)
by: Li, Xuchen, et al.
Published: (2025)
Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition
by: Guo, Zirun, et al.
Published: (2024)
by: Guo, Zirun, et al.
Published: (2024)
Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation
by: Zhan, Zaifu, et al.
Published: (2025)
by: Zhan, Zaifu, et al.
Published: (2025)
Missing-by-Design: Certifiable Modality Deletion for Revocable Multimodal Sentiment Analysis
by: Fu, Rong, et al.
Published: (2026)
by: Fu, Rong, et al.
Published: (2026)
Graph Neural Networks for Efficient AC Power Flow Prediction in Power Grids
by: Talebi, Seyedamirhossein, et al.
Published: (2025)
by: Talebi, Seyedamirhossein, et al.
Published: (2025)
Retrieval-augmented in-context learning for multimodal large language models in disease classification
by: Zhan, Zaifu, et al.
Published: (2025)
by: Zhan, Zaifu, et al.
Published: (2025)
DPL: Decoupled Prototype Learning for Enhancing Robustness of Vision-Language Transformers to Missing Modalities
by: Lu, Jueqing, et al.
Published: (2025)
by: Lu, Jueqing, et al.
Published: (2025)
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time
by: Han, Xiaotian, et al.
Published: (2025)
by: Han, Xiaotian, et al.
Published: (2025)
A Novel Lysosome‐Related Gene Signature Predicts Lung Cancer Prognosis: A Bioinformatics‐Driven Study
by: Wei Ye, et al.
Published: (2024)
by: Wei Ye, et al.
Published: (2024)
A Multi-Modal Deep Learning Framework for Pan-Cancer Prognosis
by: Zhang, Binyu, et al.
Published: (2025)
by: Zhang, Binyu, et al.
Published: (2025)
Unified Multi-Modal Image Synthesis for Missing Modality Imputation
by: Zhang, Yue, et al.
Published: (2023)
by: Zhang, Yue, et al.
Published: (2023)
Privacy-preserving Fine-tuning of Large Language Models through Flatness
by: Chen, Tiejin, et al.
Published: (2024)
by: Chen, Tiejin, et al.
Published: (2024)
CORE-Seg: Reasoning-Driven Segmentation for Complex Lesions via Reinforcement Learning
by: Xie, Yuxin, et al.
Published: (2026)
by: Xie, Yuxin, et al.
Published: (2026)
Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense
by: Ouyang, Yang, et al.
Published: (2025)
by: Ouyang, Yang, et al.
Published: (2025)
HeartAgent: An Autonomous Agent System for Explainable Differential Diagnosis in Cardiology
by: Zhou, Shuang, et al.
Published: (2026)
by: Zhou, Shuang, et al.
Published: (2026)
Nexusformer: Nonlinear Attention Expansion for Stable and Inheritable Transformer Scaling
by: Zhao, Weijie, et al.
Published: (2026)
by: Zhao, Weijie, et al.
Published: (2026)
MeCaMIL: Causality-Aware Multiple Instance Learning for Fair and Interpretable Whole Slide Image Diagnosis
by: Song, Yiran, et al.
Published: (2025)
by: Song, Yiran, et al.
Published: (2025)
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities
by: Zhang, Yiyuan, et al.
Published: (2024)
by: Zhang, Yiyuan, et al.
Published: (2024)
Adaptive Clinical-Aware Latent Diffusion for Multimodal Brain Image Generation and Missing Modality Imputation
by: Zhou, Rong, et al.
Published: (2026)
by: Zhou, Rong, et al.
Published: (2026)
Similar Items
-
Continually Evolved Multimodal Foundation Models for Cancer Prognosis
by: Peng, Jie, et al.
Published: (2025) -
MedCL-Bench: Benchmarking stability-efficiency trade-offs and scaling in biomedical continual learning
by: Zeng, Min, et al.
Published: (2026) -
RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements
by: Zhan, Zaifu, et al.
Published: (2024) -
EPEE: Towards Efficient and Effective Foundation Models in Biomedicine
by: Zhan, Zaifu, et al.
Published: (2025) -
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning
by: Zhan, Zaifu, et al.
Published: (2025)