IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
BIO-7: Machine Learning for Medical Imaging
Wed, 11 May, 22:00 - 22:45 China Time (UTC +8)
Wed, 11 May, 14:00 - 14:45 UTC
Location: Gather Area N
Session Chair: Arvind Rao,
Track: Biomedical Imaging and Signal Processing

BIO-7.1: UNSUPERVISED HIERARCHICAL TRANSLATION-BASED MODEL FOR MULTI-MODAL MEDICAL IMAGE REGISTRATION
Xinru Dai, Tai Ma, Haibin Cai, Ying Wen, East China Normal University, China

BIO-7.2: FAZ-BV: A DIABETIC MACULAR ISCHEMIA GRADING FRAMEWORK COMBINING FAZ ATTENTION NETWORK AND BLOOD VESSEL ENHANCEMENT FILTERS
Zailiang Chen, Hailei Lan, Yuchen Xiong, Hailan Shen, School of Computer Science and Engineering, Central South University, Changsha, China, China; Yongan Meng, Jing Luo, The Second Xiangya Hospital, Central South University, Changsha, China, China

BIO-7.3: FRACTURE DETECTION AND LOCALIZATION IN CHEST X-RAYS USING SEMI-SUPERVISED LEARNING WITH DYNAMIC SHARPENING
Lijuan Lu, Tsinghua University, China; Shun Miao, PAII Inc., United States of America; Ling Ye, Ping An Technology, China

BIO-7.4: HISTOKT: CROSS KNOWLEDGE TRANSFER IN COMPUTATIONAL PATHOLOGY
Ryan Zhang, Jiadai Zhu, Stephen Yang, Konstantinos Plataniotis, University of Toronto, Canada; Mahdi Hosseini, University of New Brunswick, Canada; Angelo Genovese, Università degli Studi di Milano, Italy; Lina Chen, Sunnybrook Health Sciences Centre, Canada; Corwyn Rowsell, St. Michaels Hospital, Canada; Savvas Damaskinos, Huron Digital Pathology, Canada; Sonal Varma, Kingston Health Sciences Center, Canada

BIO-7.5: UNSUPERVISED DEEP LEARNING NETWORK FOR DEFORMABLE FUNDUS IMAGE REGISTRATION
Giovana Benvenuto, Marilaine Colnago, Wallace Casaca, São Paulo State University, Brazil

BIO-7.6: A MINIMALLY SUPERVISED APPROACH FOR MEDICAL IMAGE QUALITY ASSESSMENT IN DOMAIN SHIFT SETTINGS
Huijuan Yang, Feri Guretno, Ivan Ho Mien, Chuan Sheng Foo, Pavitra Krishnaswamy, Institute for Infocomm Research, Singapore; Aaron S. Coyner, J. Peter Campbell, Susan Ostmo, Oregon Health & Science University, Singapore; Michael F. Chiang, National Institutes of Health, United States of America