Publication

H. Yu, X. Chen, H. Shi, T. Chen, T. Huang, S. Sun, Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation (accepted by MICCAI 2020)

K. Xuan, S. Sun, Z. Xue, L. Chen, Q. Wang, D. Shen, and S. Liao, Learning MRI k-Space Subsampling Pattern Using Progressive Weight Pruning (accepted by MICCAI 2020)

E. Z. Chen, T. Chen, S. Sun, MRI Image Reconstruction via Learning Optimization Using Neural ODEs (accepted by MICCAI 2020)

H. Yu, S. Sun, H. Yu, X. Chen, H. Shi, T. Huang, T. Chen, FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation (CVPR 2020)

E. Z. Chen, X. Chen, J. Lv, Y. Zheng, T. Chen, J. Xu, and S. Sun, Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network (ISMRM 2020)

Z. Gao, H. Zhang, S. Dong, S. Sun, X. Wang, G. Yang, W. Wu, S. Li, V. H. C. de Albuquerque, Salient object detection in the distributed cloud-edge intelligent network, IEEE Network, 2020

Z. Gao, X. Wang, S. Sun, D. Wu, J. Bai, Y. Yin, X. Liu, H.Zhang, V. H. C. de Albuquerque, Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging, Neural Networks, 2019

J. Hu, S. Sun, X. Yang, S. Zhou, X. Wang, Y. Fu, J. Zhou, Y. Yin, K. Cao, Q. Song, X. Wu, Towards Accurate and Robust Multi-Modal Medical Image Registration Using Contrastive Metric Learning, IEEE Access

Z. Ma, S. Zhou, X. Wu, H. Zhang, W. Yan, S. Sun*, J. Zhou*, Nasopharyngeal Carcinoma Segmentation based on Enhanced Convolutional Neural Networks using Multi-modal Metric Learning (*co-correspondent author, Accept by Physics in Medicine and Biology)

S. Sun*, J. Hu*, M. Yao, J. Hu X. Yang, Q Song and X.Wu, Robust Multimodal Image Registration using Deep Recurrent Reinforcement Learning, ACCV 2018 (*co-first author)

B. Kong, S. Sun*, X. Wang, Q. Song and S. Zhang*, Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning. MICCAI (2) 2018: 156-164 (Early accept, *co-adviser)

S. Dong, Z. Gao, S. Sun, X. Wang, M. Li, H. Zhang, G. Yang, H. Liu and S. Li, Holistic and Deep Feature Pyramids for Saliency Detection. BMVC 2018

Zongqing Ma, Xi Wu, Shanhui Sun, Chaoyang Xia, Zhipeng Yang, Shuo Li, Jiliu Zhou, A discriminative learning based approach for automated nasopharyngeal carcinoma segmentation leveraging multi-modality similarity metric learning. ISBI 2018

Benjamin Planche, Ziyan Wu, Kai Ma, Shanhui Sun, Stefan Kluckner, Oliver Lehmann, Terrence Chen, Andreas Hutter, Sergey Zakharov, Harald Kosch, Jan Ernst, DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition. 3DV 2017

V. Murthy, V. Singh, S. Sun, S. Bhattacharya, T. Chen, K. Ma, A. Kamen, B. Georgescu and D. Comaniciu, Cascaded deep decision networks for classification of endoscopic images, SPIE Medical Imaging 2017

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

A. Kamen, S. Sun, S. Wan, S. Kluckner, T. Chen, A. Gigler, E. Simon, M. Fleischer, M. Javed, S. Daali, A. Igressa, P. Charalampaki, Automatic Tissue Differentiation Based on Confocal Endomicroscopic Images for Intraoperative Guidance in Neurosurgery, BioMed research international 2016

B. Chen, Z. Wu, S. Sun, D. Zhang, T. Chen. Guidewire Tracking Using a Novel Sequential Segment Optimization Method in Interventional X-Ray Videos. ISBI 2016

S. Wan, S. Sun, et. al, Towards an Efficient Computational Framework for Guiding Surgical Resection through Intra-operative Endo-microscopic Pathology, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015

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 (Oral Presentation)

S.-Y. Sun, P. Wang, S. Sun, T. Chen. Model-Guided Extraction of Coronary Vessel Structures in 2D X-Ray Angiograms, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014

Z. Chen, A. Wahle, R. Downe, S. Sun, T. Kovarnik, J. Lopez and M. Sonka, Quantitative Comparison of Plaque in Coronary Culprit and Non-culprit Vessel Segments using Intravascular Ultrasound , MICCAI CVII-STENT workshop, 2014

L. Zhang, R. Downe, Z. Chen, S. Sun, A. Wahle, T. Masiarova, T. Kovarnik, J. Lopez and M. Sonka. Side-Branch Guided Registration of Intravascular Ultrasound Pullbacks in Coronary Arteries, MICCAI CVII-STENT workshop, 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.

C. Bauer, S. Sun, W. Sun, J. Otis, A. Wallace, B. J. Smith, J. J. Sunderland, M. M. Graham, M. Sonka, J. M. Buatti, and R. R. Beichel. Automated Measurement of Uptake in Cerebellum, Liver, and Aortic Arch in Full-body FDG PET/CT Scans. Medical Physics, 39(6), 3112-3123, June 2012.

C. Bauer, S. Sun, and R. Beichel. Avoiding Mesh Folding in 3D Optimal Surface Segmentation. In Proc. of Advances in Visual Computing, LNCS Volume 6938, pages 214-223, September 2011.

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.

R. Beichel, S. Schlosser, P. Elbischger, S. Sun, and G. McLennan. Towards automated detection of abnormalities in lung segmentations. In Proc. of the Second International Workshop on Pulmonary Image Analysis, pages 27-36, September 2009.

Abstracts:

C. Bauer, S. Sun, J. Sunderland, M. Graham, M. Sonka, J. Buatti, and R. Beichel. Automated Normalization of Metabolic Activity in FDG PET: Alternative to SUV Normalization. J Nucl Med Meeting Abstracts, 52:1768, June 2011.

Patent:

S. Zhou, D. Xu, B. Mailhe, Y. Zheng, C. Florin, D. Liu, D. Comaniciu, B. Georgescu, S. Miao, S. Sun, M. Chen, T. Chen, J. Park, Dense Field Estimation for Medical Image Analysis using Deep Networks (patent application filed)

Yao-jen Chang, Stefan Kluckner, Shanhui Sun, Benjamin Pollack, Terrence Chen, Image-based Tube Top Circle Detection with Multiple Candidates and Deep learning Based Edge Enhancement (patent application filed)

Stefan Kluckner, Shanhui Sun, Yao-jen Chang, Benjamin Pollack, Terrence Chen, HIL Index Determination With Convolutional Neural Networks (patent application filed)

Stefan Kluckner, Shanhui Sun, Yao-jen Chang, Benjamin Pollack, Terrence Chen, HIL Classification in tag oclluded sample vessels using a semantic 3D model (patent application filed)

S. Sun, S. Kluckner, Y. Chang, B. Pollack, T. Chen, Methods for Understanding Contents in The Diagnostics Lab Tube using a deep Learning based semantic segmentation (patent application filed)

S. Sun, S. Kluckner, K. Ma, Z. Wu, J. Ernest, V. Singh, T. Chen, Method and Systemt of Deep Learning based Feature Mining for Efficient and Robust 2.5D Sensing Image Search (patent application filed)

V. Murthy, V. Singh, S. Sun, S. Bhattacharya, K. Ma, T. Chen, B. Georgescu, D. Comaniciu, Deep Decision Networks for Classification of Endoscopic Images. (patent filed)

S. Bhattacharya, S. Sun, T. Chen, A. Kamen, Optimal Visual Representation Learning for Brain Tumor Classification using Unsupervised Techniques (patent under filing)

S. Bhattacharya, S. Sun, G. Paladini, T. Chen A Visual Saliency based approach towards efficient Cancerous Cell Localization in Cell microscopic (cell-scope) images (patent application filed)

S. Sun, T. Heimann, S. Miao, T. Chen and R. Liao “Visual Tracking Methods for Ultrasound Transesophageal Echocardiography Probe Pose Detection in X-Ray Fluoroscopy Images” (patent under filing)

S. Sun, S. Kluckner, A. Tuysuzoglu, A. Kappoor G. Lauritsch and T. Chen, “A new paradigm of 3D Coronalry Tree Surface Reconstruction from Limited Number of 2D Rotational X-Ray Angiography Images” (patent under filing)

S. Sun, J. Ernst, J. Wiles, and J. Bamberger, “Sun Location Prediction in Short Term Sun Occlusion Prediction System With Astronomical Almanac-based Calibration using Ground Based Fisheye Camera” (patent pending)

S. Sun, J. Ernst, A. Sapkota, E. Ritzhaupt-Kleissl, J. Wiles and T. Chen, “Short Term Cloud Coverage Prediction using Ground Based All Sky Imaging” (patent pending)

S. Bhattacharya, S. Sun, T. Chen and A. Kamen, “Visual Representation Learning for Brain Tumor Classification” (patent pending)

S. Bhattacharya, S. Sun, T. Chen and A. Kamen, “Leveraging on Local and Global Textures of Brain Tissues for Robust Automatic Brain Tumor Detection” (patent pending)

S. Wan, S. Sun, S. Bhattacharya, T. Chen, and A. Kamen, “Towards Automated Brain Tumor Diagnosis using Image Classification: Learning a Discriminative Dictionary” (patent pending)

S. Wan, S. Sun, T. Chen, B. Georgescu and A. Kamen, “Systems and methods for deconvolutional network based classification of cellular images and videos” (patent pending)

S. Wan, S. Sun, S. Kluckner, T. Chen and A. Kamen, “Classification of cellular images and videos” (patent pending)

N. El-Zehiry, S. Sun, B. Georgescu, L. Ladic, and A. Kamen, “A method for Analyzing Digital Holographic Microscopy Data for Hematology Application” (patent pending)

D. Zhang, S. Sun, Z. Wu, B.-J. Chen, A. Meyer and T. Chen, “Vessel tree tracking in angiography videos” (Granted)

J. Jia, S. Sun, T. Chen, P. Wang, “Accurate and efficient polyp detection in wireless capsule endoscopy images” (patent pending)

S. Sudarsky, M. Nadar, S. Sun, A. Lefebvre and B. Geiger, “Visualizing Brain Network Connectivity” (Granted)