PKU-UCLA JRI Symposium: High Performance Energy Efficient Computing for Image Processing Working Group

Co-Chairs: Ming Jiang & Guojie Luo (PKU), Alex Bui (UCLA)


Friday, June 30, 2017
8:30 AM - 10:30 AM

 



Time
Presenter
Talk Title

 8:30am

Alex Bui, Department of Radiological Sciences, UCLA  Computational challenges for biomedical imaging: From reconstruction to analysis 
 8:50 John Hoffman, Physics and Biology in Medicine, UCLA   High Throughput Computing in Quantitative CT Imaging: Development and Applications. 
 9:10 Tad Blair, Department of Psychology, UCLA  The UCLA miniscope: An open-source platform for in-vivo calcium imaging   
 9:30 Guojie Luo, School of Electronics Engineering and Computer Science, PKU  Progress and Challenges in Medical Imaging and Video Processing 
 9:40 Yun Eric Liang & Xiuhong Li, School of Electronics Engineering and Computer Science, PKU  Image Reconstruction on GPUs from Application, Algorithms to Implementation
 9:50 Xiuhong Li, School of Electronics Engineering and Computer Science, PKU High-performance X-ray CT Image Reconstruction based on Mumford-Shah Model on GPUs
 9:55 Li Shen, School of Mathematics, PKU   A research on the Algorithm with the Mulford-Shah functional for Electron Tomography 
 10:00 Wentai Zhang, School of Electronics Engineering and Computer Science, PKU  Big Data and Analytics in XCT Image Reconstruction 
 10:05 Zhuolun He, School of Electronics Engineering and Computer Science, PKU  Micro-Components on FPGAs for Image Processing 
 10:10 Discussion

For more information please contact:

Erin Hakim

hakim@international.ucla.edu


Sponsor(s): , School of Public Health, Psychiatry and Biobehavioral Sciences, Molecular, Cell and Developmental Biology, Chemistry and Biochemistry, Neuroscience