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Yefeng Zheng

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Open access Aug 2026

An explainable biomedical foundation model via large-scale concept-enhanced vision-language pretraining.

Artificial intelligence for medical imaging is required to be accurate and interpretable to clinicians. However, current multimodal biomedical foundation models often prioritize performance over explainability. Here we present ConceptCLIP, an explainable biomedical foundation model that achieves state-of-the-art diagno...

Yuxiang Nie, Sunan He, Yequan Bie et al. · 0 citations
Open access Sep 2026

Structure-guided prior-driven implicit neural representations for time-of-flight PET image reconstruction.

OBJECTIVE Positron emission tomography (PET) reconstruction is an ill-posed inverse problem, particularly under low-count conditions where noise severely degrades image quality and quantitative accuracy. Although supervised learning approaches have demonstrated strong denoising capability, their performance often depen...

Yu-Lin Zhang, Yuxuan Long, Hong Wang et al. · 0 citations
Sep 2026

Comorbidity-Aware Radiology Report Generation.

Chest X-ray report generation systems are valuable for assisting disease diagnosis and improving healthcare efficiency. However, existing methods still face two key challenges. First, multiple diseases often co-occur, leading to a combinatorial explosion of label combinations and sparse supervision for learning a gener...

Hong-Ze Zhu, Hong Liu, Ya-Wen Huang et al. · 0 citations
Book Open access Aug 2026

PRIME: A Pretrained Representation-Induced Model for 3D Molecules in De Novo Binder Design

Biomolecular binder design for peptides and antibodies requires generating diverse candidates that satisfy stringent three-dimensional geometric constraints while enabling affinity-oriented exploration under strong structural priors. In current generative models, the effective search space for structurally feasible bin...

Zhihua Tian, Jiale Zhou, Rubo Wang et al. · 0 citations
Book Open access Aug 2026

PRIME: A Pretrained Representation-Induced Model for 3D Molecules in De Novo Binder Design

Semantics-Preserving Exploratory Sampling (SPES), which integrates Graph Laplacian Spectral Noise to respect chain connectivity and Conditional Freedom Modulation to dynamically balance exploration with fidelity, enables diversity-enhanced generation without sacrificing geometric validity under the reported structural...

Zhihua Tian, Jiale Zhou, Rubo Wang et al. · 0 citations

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