Area of research
Mechanics of Materials · Radiology, Nuclear Medicine and Imaging
Research interest
Research focused on Artificial intelligence and Delirium, with related work in Segmentation, Microbubbles, Cyanine. Notable publications include 'CM-SegNet: A deep learning-based automatic segmentation approach for medical images by combining convolution and multilayer perceptron', 'E4BP4 Coordinates Circadian Control of Cognition in Delirium', and 'In vivo ultrasound localization microscopy for high-density microbubbles'.
Pyrrolopyrrole Cyanine <i>J-</i>Aggregates with Amplified Superoxide Radical Generation, GSH Depletion, and Photothermal Action for Hypoxic Cancer Phototherapy
In vivo ultrasound localization microscopy for high-density microbubbles
A prior segmentation knowledge enhanced deep learning system for the classification of tumors in ultrasound image
Phospholipid peroxidation in macrophage confers tumor resistance by suppressing phagocytic capability towards ferroptotic cells
CM-SegNet: A deep learning-based automatic segmentation approach for medical images by combining convolution and multilayer perceptron
E4BP4 Coordinates Circadian Control of Cognition in Delirium
Tangeretin prevents cognitive deficit in delirium through activating RORα/γ-E4BP4 axis in mice
Acupuncture combined with opioids for cancer pain: a pilot pragmatic randomized controlled trial