4 accepted papers
Unmanned aerial vehicles perform well in aerial tasks but still face limitations due to limited endurance. In this work, we present a novel spherical terrestrial–aerial bimodal vehicle, called FlyOrb, which is capable of both rolling and flying. The vehicle integrates inertial wheel actuation with a
Classifying the status of NSCLC PD-L1 on chest CT is a cost-effective and non-invasive method. The existing multiple instance learning (MIL) methods are not effective for this task, due to the lack of an efficient feature encoder for 3D instances and ignoring the importance of representative instanc…
Automating structured clinical interviews could revolutionize mental healthcare accessibility, yet existing large language models (LLMs) approaches fail to align with psychiatric diagnostic protocols. We present MAGI, the first framework that transforms the gold-standard Mini International Neuropsyc…
Recently, virtual staining has emerged as a promising alternative to revolutionize histological staining by digitally generating stains. However, most existing methods suffer from the curse of staining unreality and unreliability. In this paper, we propose the Orthogonal Decoupling Alignment Generat…