Cover Image

TCDiff: Triplex Cascaded Diffusion for High-fidelity Multimodal EHRs Generation with Incomplete Clinical Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yan, Yandong, Li, Chenxi, Huang, Yu, Xu, Dexuan, Zhu, Jiaqi, Chai, Zhongyan, Zhang, Huamin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MedMKEB: A Comprehensive Knowledge Editing Benchmark for Medical Multimodal Large Language Models
by: Xu, Dexuan, et al.
Published: (2025)

A Clinical Point Cloud Paradigm for In-Hospital Mortality Prediction from Multi-Level Incomplete Multimodal EHRs
by: Li, Bohao, et al.
Published: (2026)

DatawiseAgent: A Notebook-Centric LLM Agent Framework for Adaptive and Robust Data Science Automation
by: You, Ziming, et al.
Published: (2025)

Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs
by: Myers, Skatje, et al.
Published: (2025)

DenoiseFlow: Uncertainty-Aware Denoising for Reliable LLM Agentic Workflows
by: Yan, Yandong, et al.
Published: (2026)

Towards Robust Multimodal Sentiment Analysis with Incomplete Data
by: Zhang, Haoyu, et al.
Published: (2024)

medDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support
by: Xu, Qianyi, et al.
Published: (2025)

Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs
by: Wornow, Michael, et al.
Published: (2024)

HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance
by: Zhu, Junzhe, et al.
Published: (2023)

Landmark-guided Diffusion Model for High-fidelity and Temporally Coherent Talking Head Generation
by: Tan, Jintao, et al.
Published: (2024)

PrecLLM: A Privacy-Preserving Framework for Efficient Clinical Annotation Extraction from Unstructured EHRs using Small-Scale LLMs
by: Qu, Yixiang, et al.
Published: (2024)

MARIA: a Multimodal Transformer Model for Incomplete Healthcare Data
by: Caruso, Camillo Maria, et al.
Published: (2024)

MedReflect: Teaching Medical LLMs to Self-Improve via Reflective Correction
by: Huang, Yue, et al.
Published: (2025)

Segment-Level Diffusion: A Framework for Controllable Long-Form Generation with Diffusion Language Models
by: Zhu, Xiaochen, et al.
Published: (2024)

FUSE-Traffic: Fusion of Unstructured and Structured Data for Event-aware Traffic Forecasting
by: Yu, Chenyang, et al.
Published: (2025)

RoHyDR: Robust Hybrid Diffusion Recovery for Incomplete Multimodal Emotion Recognition
by: Jin, Yuehan, et al.
Published: (2025)

Label-dependent and event-guided interpretable disease risk prediction using EHRs
by: Niu, Shuai, et al.
Published: (2022)

DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data
by: Robinet, Lucas, et al.
Published: (2024)

Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data
by: Phung, Thu Hang, et al.
Published: (2026)

Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records
by: Kwon, Yeonsu, et al.
Published: (2026)

TCDiff++: An End-to-end Trajectory-Controllable Diffusion Model for Harmonious Music-Driven Group Choreography
by: Dai, Yuqin, et al.
Published: (2025)

MissHDD: Hybrid Deterministic Diffusion for Hetrogeneous Incomplete Data Imputation
by: Zhou, Youran, et al.
Published: (2025)

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs
by: Islam, K M Sajjadul, et al.
Published: (2025)

Reflection on Data Storytelling Tools in the Generative AI Era from the Human-AI Collaboration Perspective
by: Li, Haotian, et al.
Published: (2025)

Wonder3D++: Cross-domain Diffusion for High-fidelity 3D Generation from a Single Image
by: Yang, Yuxiao, et al.
Published: (2025)

Interpretable Generative and Discriminative Learning for Multimodal and Incomplete Clinical Data
by: Belenguer-Llorens, Albert, et al.
Published: (2025)

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

Improving Social Determinants of Health Documentation in French EHRs Using Large Language Models
by: Bazoge, Adrien, et al.
Published: (2025)

TCDiff: Triple Condition Diffusion Model with 3D Constraints for Stylizing Synthetic Faces
by: Biesseck, Bernardo, et al.
Published: (2024)

Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation
by: Sikder, Md Fahim, et al.
Published: (2024)

Harnessing LLMs for Cross-City OD Flow Prediction
by: Yu, Chenyang, et al.
Published: (2024)

TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-to-Sim Digital Twin Sensor Model
by: Huang, Xiyan, et al.
Published: (2025)

TriSPrompt: A Hierarchical Soft Prompt Model for Multimodal Rumor Detection with Incomplete Modalities
by: Chen, Jiajun, et al.
Published: (2025)

Towards High-fidelity 3D Talking Avatar with Personalized Dynamic Texture
by: Li, Xuanchen, et al.
Published: (2025)

Generative Data Mining with Longtail-Guided Diffusion
by: Hayden, David S., et al.
Published: (2025)

Zero-shot High-fidelity and Pose-controllable Character Animation
by: Zhu, Bingwen, 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)

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning
by: Dai, Yuzhuo, et al.
Published: (2025)

From Incomplete Architecture to Quantified Risk: Multimodal LLM-Driven Security Assessment for Cyber-Physical Systems
by: Huang, Shaofei, et al.
Published: (2026)

FlowDistill: Scalable Traffic Flow Prediction via Distillation from LLMs
by: Yu, Chenyang, et al.
Published: (2025)