3 citations · 3 across the 8 of their papers we have counts for
8 papers
ReStyle-TTS: Relative and Continuous Style Control for Zero-Shot Speech Synthesis
Haitao Li, Chunxiang Jin, Chenglin Li +3
Zero-shot text-to-speech models can clone a speaker's timbre from a short reference audio, but they also strongly inherit the speaking style present in the reference. As a result,…
anyECG-chat: A Generalist ECG-MLLM for Flexible ECG Input and Multi-Task Understanding
Haitao Li, Ziyu Li, Yiheng Mao +3
The advent of multimodal large language models (MLLMs) has sparked interest in their application to electrocardiogram (ECG) analysis. However, existing ECG-focused MLLMs primarily…
DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities
Haitao Li, Ziyu Li, Yiheng Mao +2
Accurate segmentation of brain images typically requires the integration of complementary information from multiple image modalities. However, clinical data for all modalities may…
Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications
Ziyu Li, Yujian Hu, Zhengyao Ding +5
Cardiac Magnetic Resonance (CMR) imaging is a vital non-invasive tool for diagnosing heart diseases and evaluating cardiac health. However, the limited availability of large-scale,…
FOCAL: Fine-Grained Optimal-Transport-Driven Contrastive Alignment of Language and ECGs with Waveform Enhancement
Haitao Li, Che Liu, Zhengyao Ding +3
Electrocardiograms (ECGs) are essential non-invasive tools for diagnosing cardiovascular diseases. While recent multimodal ECG-Report contrastive learning methods have shown promis…
De-biased Multimodal Electrocardiogram Analysis
Haitao Li, Ziyu Li, Yiheng Mao +3
Multimodal large language models (MLLMs) are increasingly being applied in the medical field, particularly in medical imaging. However, developing MLLMs for ECG signals, which are…