Technical Program

WQ-PE: Bio-medical Image Segmentation II

Session Type: Poster
Time: Wednesday, September 20, 16:30 - 18:00
Location: Poster Area E
Session Chair: Siyu Xia, Southeast University
 
WQ-PE.1: MR IMAGES SEGMENTATION AND BIAS CORRECTION VIA LIC MODEL
         Lingfeng Wang; Institute of Automation, Chinese Academy of Sciences
         Jie Huang; Institute of Automation, Chinese Academy of Sciences
         Bin Lai; Agricultural Bank of China
         Chunhong Pan; Institute of Automation, Chinese Academy of Sciences
 
WQ-PE.2: FROM NEONATAL TO ADULT BRAIN MR IMAGE SEGMENTATION IN A FEW SECONDS USING 3D-LIKE FULLY CONVOLUTIONAL NETWORK AND TRANSFER LEARNING
         Yongchao Xu; EPITA
         Thierry Géraud; EPITA
         Isabelle Bloch; Institut Mines Telecom, Telecom ParisTech
 
WQ-PE.3: RETINAL BLOOD VESSEL EXTRACTION METHOD BASED ON BASIC FILTERING SCHEMES
         Toufique Ahmed Soomro; Charles Sturt University Australia
         Junbin Gao; Discipline of Business Analytics
         Manoranjan Paul; Charles Sturt University Australia
         Lihong Zheng; Charles Sturt University Australia
 
WQ-PE.4: LESION DETECTION USING T1-WEIGHTED MRI: A NEW APPROACH BASED ON FUNCTIONAL CORTICAL ROIS
         Dazhou Guo; University of South Carolina
         Kang Zheng; University of South Carolina
         Song Wang; University of South Carolina
 
WQ-PE.5: ADABOOST-BASED DETECTION AND SEGMENTATION OF BIORESORBABLE VASCULAR SCAFFOLDS STRUTS IN IVOCT IMAGES
         Yifeng Lu; Xi’an Institute of Optics and Precision Mechanics of CAS
         Yihui Cao; Xi’an Institute of Optics and Precision Mechanics of CAS
         Qinhua Jin; Chinese PLA General Hospital
         Yundai Chen; Chinese PLA General Hospital
         Qinye Yin; Xi'an Jiaotong University
         Jianan Li; Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences
         Rui Zhu; Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences
         Wei Zhao; Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences
 
WQ-PE.6: AUTOMATED 3D MUSCLE SEGMENTATION FROM MRI DATA USING CONVOLUTIONAL NEURAL NETWORK
         Shrimanti Ghosh; University of Alberta
         Pierre Boulanger; University of Alberta
         Scott T. Acton; University of Virginia
         Silvia S. Blemker; University of Virginia
         Nilanjan Ray; University of Alberta
 
WQ-PE.7: DETECTION OF MICROANEURYSM USING LOCAL RANK TRANSFORM IN COLOR FUNDUS IMAGES
         Ravi Kamble; Research Scholar
         Manesh Kokare; Associate Professor
 
WQ-PE.8: ACCURATE TUMOR SEGMENTATION IN FDG-PET IMAGES WITH GUIDANCE OF COMPLEMENTARY CT IMAGES
         Chunfeng Lian; Sorbonne Universités, Université de Technologie de Compiègne
         Su Ruan; Normandie Université, Université de Rouen
         Thierry Denoeux; Sorbonne Universités, Université de Technologie de Compiègne
         Yu Guo; Tianjin University
         Pierre Vera; Centre Henri-Becquerel
 
WQ-PE.9: AUTOMATIC 3D MODELLING FOR PROSTATE CANCER BRACHYTHERAPY
         Mohammad Ali Jan Ghasab; Monash University
         Andrew P. Paplinski; Monash University
         John M. Betts; Monash University
         Hayley M. Reynolds; The University of Melbourne
         Annette Haworth; The University of Sydney
 
WQ-PE.10: CELL SEGMENTATION BASED ON SPATIAL INFORMATION IMPROVED INTUITIONISTIC FCM COMBINED WITH FOPSO
         Chuxiong Sun; Beihang University
         Xiangzhi Bai; Beihang University