Across a large-scale benchmark covering 78 datasets in 10 imaging modalities, ConceptCLIP demonstrates superior diagnostic performance while providing human-understandable explanations, and represents a critical milestone towards the widespread clinical adoption of AI.
Yuxiang Nie, Sunan He, Yequan Bie et al.· Nature Biomedical Engineerin...· 0 citations
The proposed approach integrates implicit neural representations with physics-consistent modeling and prior-guided regularization, providing an effective unsupervised framework for TOF-PET reconstruction and highlighting the potential of neural field representations for tomographic imaging.
Yu-Lin Zhang, Yuxuan Long, Hong Wang et al.· Physics in Medicine and Biol...· 0 citations
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.· IEEE Transactions on Medical...· 0 citations
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, Jia-Le Zhou, Ru-Bo Wang et al.· Proceedings of the 32nd ACM...· 0 citations
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.· Proceedings of the 32nd ACM...· 0 citations
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