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An MR based PET attenuation correction using a deep learning approach and evaluation in prostate cancer patients

An MR based PET attenuation correction using a deep learning approach and evaluation in prostate cancer patients

Deep learning based motion estimation from highly under-sampled EPI volumetric navigators

Author:Mykhailo Hasiuk  Kamlesh Pawar  Shenjun Zhong  Richard McIntyre  Zhaolin Chen  Gary Egan  

Institution:Monash University  Vasyl Stefanyk Precarpathian National University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Motion Correction: Brain  

Program Number:4448  

Presentation Time:08:15   

Room Number:Exhibition Hall  

Computer Number:Computer 75  

Enforcing Structural Similarity in Deep Learning MR Image Reconstruction

Author:Kamlesh Pawar  Zhaolin Chen  N Shah  Gary Egan  

Institution:Monash University  Research Centre Juelich  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4711  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 168  

Spatio-Temporal Association Between Simultaneously BOLD and FDG Resting State Networks

Synthesis of standard dose FDG PET images from low dose acquisition using a combination of atlas and CNN based method

Author:Viswanath P. Sudarshan  Anthony Fernandez  Kamlesh Pawar  Shenpeng Li  Gary F. Egan  Suyash Awate  Zhaolin Chen  

Institution:Indian Institute of Technology, Bombay  Monash Biomedical Imaging  Monash University  IITB-Monash Research Academy  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Molecular & Metabolic Imaging  

Program Number:1129  

Presentation Time:14:33   

Room Number:Room 510A-D  

Computer Number: