BIO-10.4
DATA EFFICIENT SUPPORT VECTOR MACHINE TRAINING USING THE MINIMUM DESCRIPTION LENGTH PRINCIPLE
Harsh Singh, International Institute of Information Technology, India; Ognjen Arandjelovic, University of St Andrews, United Kingdom of Great Britain and Northern Ireland
Session:
Detection, Estimation and Classification for Medical Images
Track:
Biomedical Imaging and Signal Processing
Location:
Gather Area N
Presentation Time:
Thu, 12 May, 21:00 - 21:45 China Time (UTC +8)
Thu, 12 May, 13:00 - 13:45 UTC
Thu, 12 May, 13:00 - 13:45 UTC
Session Chair:
Namrata Vaswani, Iowa State University
Session BIO-10
BIO-10.1: FAST LOW RANK COLUMN-WISE COMPRESSIVE SENSING FOR ACCELERATED DYNAMIC MRI
Silpa Babu, Seyedehsara Nayer, Namrata Vaswani, Iowa State University, United States of America; Sajan Lingala, University of Iowa, United States of America
BIO-10.2: MRI RECOVERY WITH A SELF-CALIBRATED DENOISER
Sizhuo Liu, Philip Schniter, Rizwan Ahmad, Ohio State University, United States of America
BIO-10.3: 3D CROSS-SCALE FEATURE TRANSFORMER NETWORK FOR BRAIN MR IMAGE SUPER-RESOLUTION
Wanqi Zhang, Lulu Wang, Wei Chen, Zhongshi He, Chongqing University, China; Yuanyuan Jia, Jinglong Du, Chongqing Medical University, China
BIO-10.4: DATA EFFICIENT SUPPORT VECTOR MACHINE TRAINING USING THE MINIMUM DESCRIPTION LENGTH PRINCIPLE
Harsh Singh, International Institute of Information Technology, India; Ognjen Arandjelovic, University of St Andrews, United Kingdom of Great Britain and Northern Ireland
BIO-10.5: MULTIPLE INSTANCE LEARNING WITH TASK-SPECIFIC MULTI-LEVEL FEATURES FOR WEAKLY ANNOTATED HISTOPATHOLOGICAL IMAGE CLASSIFICATION
Yuanpin Zhou, Yao Lu, Sun Yat-sen University, China