3 citations · 3 across the 9 of their papers we have counts for
9 papers
CLoE: Expert Consistency Learning for Robust Missing Modality Segmentation
Xinyu Tong, Meihua Zhou, Bowu Fan +1
Multimodal medical image segmentation often faces missing modalities at inference, which induces disagreement among modality experts and makes fusion unstable, particularly on smal…
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,…
STCTS: Generative Semantic Compression for Ultra-Low Bitrate Speech via Explicit Text-Prosody-Timbre Decomposition
Siyu Wang, Haitao Li, Donglai Zhu
Voice communication in bandwidth-constrained environments--maritime, satellite, and tactical networks--remains prohibitively expensive. Traditional codecs struggle below 1 kbps, wh…
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…
Translating Electrocardiograms to Cardiac Magnetic Resonance Imaging Useful for Cardiac Assessment and Disease Screening: A Multi-Center Study
Zhengyao Ding, Ziyu Li, Yujian Hu +17
Cardiovascular diseases (CVDs) are the leading cause of global mortality, necessitating accessible and accurate diagnostic tools. While cardiac magnetic resonance imaging (CMR) pro…