Yicheng Hu
Robotics, Medical Imaging and Deep Learning
"The best or nothing"
About me
I am a Ph.D. student in Computer Science at Johns Hopkins University, with a broad interests in medical imaging and AI methods. I am fortunate to be co-advised by Dr. Ali Uneri, Dr. Craig Jones, and Dr. Jeffrey Siewerdsen. I am affiliated with the Imaging for Surgery, Therapy, and Radiology (I-STAR) Lab, and the Carnegie Center for Surgical Innovation.
I earned my M.S. in Robotics from Johns Hopkins University, where I had the privilege of working with Dr. Mathias Unberath and Dr. Cong Gao. Prior to that, I completed my B.S. in Mechanical Engineering at the University of Washington, Seattle, collaborating with Dr. Sawyer Fuller during my undergraduate studies.
Google Scholar
Research Projects
Automatic Ultrasound Probe Positioning
Developed robot-assisted method in localizing standard scan planes in Ultrasound Imaging using deep reinforcement learning.
Deformable Motion Simulation
Designed a framework at synthesizing of realistic motion patterns in soft-tissue CBCT leveraging GAN models.
Generalization of Deep Neural Networks
EvaluaSim2Real performance for multi-task learning in X-ray Imaging.
Tool Segmentation in Robotic Surgery Videos
Explored on several deep learning models for tool segmentation task.
Non-invasive Biofeedback Home System
Helped children patients for Urinary Incontinence treatment.
Smell Robot
Designed a bio-inspired robot for odor localization.