2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

BIO-8: Biological Image Analysis

Session Type: Poster
Time: Wednesday, 9 June, 14:00 - 14:45
Location: Gather.Town
Session Chair: Virginie Uhlmann, European Bioinformatics Institute (EMBL-EBI)
 
BIO-8.1: LEARNING BINARY SEMANTIC EMBEDDING FOR BREAST HISTOLOGY IMAGE CLASSIFICATION AND RETRIEVAL
         Xiao Kang; Shandong University
         Xingbo Liu; Shandong University
         Xiushan Nie; Shandong Jianzhu University
         Yilong Yin; Shandong University
 
BIO-8.2: CHANNEL ATTENTION RESIDUAL U-NET FOR RETINAL VESSEL SEGMENTATION
         Changlu Guo; Budapest University of Technology and Economics
         Márton Szemenyei; Budapest University of Technology and Economics
         Yangtao Hu; Hospital of the Peoples Liberation Army Joint Logistics Support Force
         Wenle Wang; Jiangxi Normal University
         Wei Zhou; Shenyang Institute of Computing Technology, Chinese Academy of Science
         Yugen Yi; Jiangxi Normal University
 
BIO-8.3: CMIM: CROSS-MODAL INFORMATIONMAXIMIZATION FORMEDICAL IMAGING
         Tristan Sylvain; Universite de Montreal
         Francis Dutil; Imagia Cybernetics
         Tess Berthier; Imagia Cybernetics
         Lisa Di Jorio; Imagia Cybernetics
         Margaux Luck; Mila
         Devon Hjelm; Microsoft Research
         Yoshua Bengio; Universite de Montreal
 
BIO-8.4: STRUCTURE-ENHANCED ATTENTIVE LEARNING FOR SPINE SEGMENTATION FROM ULTRASOUND VOLUME PROJECTION IMAGES
         Rui Zhao; The Hong Kong Polytechnic University
         Zixun Huang; The Hong Kong Polytechnic University
         Tianshan Liu; The Hong Kong Polytechnic University
         Frank H.F. Leung; The Hong Kong Polytechnic University
         Sai Ho Ling; University of Technology Sydney
         De Yang; The Hong Kong Polytechnic University
         Timothy Tin-Yan Lee; The Hong Kong Polytechnic University
         Daniel P.K. Lun; The Hong Kong Polytechnic University
         Yong-Ping Zheng; The Hong Kong Polytechnic University
         Kin-Man Lam; The Hong Kong Polytechnic University
 
BIO-8.5: FOVEAL AVASCULAR ZONE SEGMENTATION OF OCTA IMAGES USING DEEP LEARNING APPROACH WITH UNSUPERVISED VESSEL SEGMENTATION
         Zhijin Liang; University of California, San Diego
         Junkang Zhang; University of California, San Diego
         Cheolhong An; University of California, San Diego
 
BIO-8.6: ACUTE LYMPHOBLASTIC LEUKEMIA DETECTION BASED ON ADAPTIVE UNSHARPENING AND DEEP LEARNING
         Angelo Genovese; Università degli Studi di Milano
         Mahdi S. Hosseini; University of New Brunswick
         Vincenzo Piuri; Università degli Studi di Milano
         Konstantinos N. Plataniotis; University of Toronto
         Fabio Scotti; Università degli Studi di Milano