Cong Wu

Papers

Total Citations

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About

Cong Wu is a researcher whose work bridges robotics and medical AI, demonstrating a rare versatility in applying engineering principles to solve real-world problems. In robotics, Wu has made significant contributions to autonomous navigation, particularly through the development of a magnetic compass error calibration method for rotorcraft flying robots. This work, published in 2013, addresses critical challenges in integrated navigation systems by analyzing measurement theory and identifying five key error sources that affect heading angle calculation—a foundational contribution to drone stability and precision. More recently, Wu has ventured into the cutting-edge intersection of artificial intelligence and healthcare. In 2023, Wu published a pioneering study applying deep learning to predict postoperative urinary incontinence using multiple anatomic parameters from MRI scans. This work stands out for its methodological rigor, employing Captum—an interpretable AI tool—to overcome the "black box" problem common in neural networks. By computing feature importance weights, Wu’s approach not only achieves predictive accuracy but also provides clinically meaningful explanations, enhancing trust and usability in medical decision-making. With 7 citations each, these papers reflect Wu’s ability to produce impactful, interdisciplinary research, from improving rotorcraft navigation to advancing personalized medicine.