4 papers
Rethinking Nonlinearity: Trainable Gaussian Mixture Modules for Modern Neural Architectures
Weiguo Lu, Gangnan Yuan, Hong-kun Zhang +1
Neural networks in general, from MLPs and CNNs to attention-based Transformers, are constructed from layers of linear combinations followed by nonlinear operations such as ReLU, Si…
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,…
Fast2comm:Collaborative perception combined with prior knowledge
Zhengbin Zhang, Yan Wu, Hongkun Zhang
Collaborative perception has the potential to significantly enhance perceptual accuracy through the sharing of complementary information among agents. However, real-world collabora…
Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans
Bizhe Bai, Yan-Jie Zhou, Yujian Hu +5
Pulmonary embolism (PE) is a life-threatening condition where rapid and accurate diagnosis is imperative yet difficult due to predominantly atypical symptomatology. Computed tomogr…