Shanhui Sun


Shanhui Sun is currently a Principal Scientist at CuraCloud, Princeton, NJ 08540, USA. Prior to that, he was a staff scientist at Siemens Corporate Research at Princeton, NJ 08540. He received his Ph.D. at the Department of Electrical and Computer Engineering (ECE), the University of Iowa.

Education:

Ph.D, Electrical and Computer Engineering, the University of Iowa, 2012

M.S., Electrical and Automation Engineering, Tianjin University, 2006

Highlights:

My work of automated Ultrasound Transesophageal Echocardiography (TEE) Transducer Detection (6 Degree of Freedom) in X-ray Fluoroscopy Videos using Machine Learning and Computer Vision Technology is now in a new Siemens product (TrueFusion, FDA clearance), and is featured on Siemens' Website. This technology is explained in our MICAAI 2016 paper (S. Sun et al. Towards Automated Ultrasound Transesophageal Echocardiography and X-Ray Fluoroscopy Fusion using an Image-based Co-registration Method, MICCAI 2016).

Selected Papers (More on publication page):

Shanhui Sun*, Jing Hu*, Mingqing Yao, Jinrong Hu, Xiaodong Yang, Qi Song and Xi Wu, Robust Multimodal Image Registration using Deep Recurrent Reinforcement Learning, Accepted by ACCV 2018 (*co-first author)

Bin Kong, Shanhui Sun*, Xin Wang, Qi Song, Shaoting Zhang* Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning. MICCAI 2018 (Early Accept, *co-advisor)

S. Sun et al. Towards Automated Ultrasound Transesophageal Echocardiography and X-Ray Fluoroscopy Fusion using an Image-based Co-registration Method, MICCAI 2016

S. Sun, J. Ernst, A. Sapkota, E. Ritzhaupt-Kleissl, R. Wiles, J. Bamberger and T. Chen. Short Term Cloud Coverage Prediction using Ground Based All Sky Imager, IEEE Smart Grid Comm, 2014

S. Sun, M. Sonka and R. Beichel. Graph-Based IVUS Segmentation with Efficient Computer-Aided Refinement. IEEE Transaction on Medical Imaging, 32(8):1536-1549, August 2013.

S. Sun, M. Sonka and R. Beichel. Lung Segmentation Refinement based on Optimal Surface Finding Utilizing a Hybrid Desktop/Virtual Reality User Interface. Computerized Medical Imaging and Graphics., 31(1): 15-27 (2013)

S. Sun, M. Sonka and R. Beichel. Graph-based 4D Lung Segmentation in CT Images with Expert-Guided Computer-Aided Refinement. 2013 International Symposium on Biomedical Imaging (ISBI).

S. Sun, C. Bauer, and R. Beichel. Automated 3D Segmentation of Lungs with Lung Cancer in CT Data Using a Novel Robust Active Shape Model Approach. IEEE Trans. Med. Imag., 31(2): 449–460, February 2012.

S. Sun, C. Bauer, and R. Beichel. Robust Active Shape Model Based Lung Segmentation in CT Scans, In Proc. of the Fourth International Workshop on Pulmonary Image Analysis, pages 213-223, September 2011.

S. Sun, G. McLennan, E. A. Hoffman, and R. Beichel. Model-Based Segmentation of Pathological Lungs in Volumetric CT Data, In Proc. of the Third International Workshop on Pulmonary Image Analysis, pages 31-40, September 2010.