TP-V2.V12.4
3D CENTROIDNET: NUCLEI CENTROID DETECTION WITH VECTOR FLOW VOTING
Liming Wu, Alain Chen, Edward Delp, Purdue University, United States of America; Paul Salama, Indiana University-Purdue University, United States of America; Kenneth Dunn, Indiana University, United States of America
Session:
Biomedical Processing and Learning
Track:
Biomedical Signal Processing
Location:
Gather.Town 12
Presentation Time:
Tue, 4 Oct, 22:00 - 23:00 China Standard Time (UTC +8)
Tue, 4 Oct, 16:00 - 17:00 Central European Time (UTC +1)
Tue, 4 Oct, 14:00 - 15:00 UTC
Tue, 4 Oct, 10:00 - 11:00 Eastern Time (UTC -5)
Tue, 4 Oct, 16:00 - 17:00 Central European Time (UTC +1)
Tue, 4 Oct, 14:00 - 15:00 UTC
Tue, 4 Oct, 10:00 - 11:00 Eastern Time (UTC -5)
Session Co-Chairs:
Andrea Cavallaro, Queen Mary University of London and Jean-Christophe Pesquet, CentraleSupélec and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session TP-V2.V12
TP-V2.V12.2: A FAST DEJITTERING APPROACH FOR LINE SCANNING MICROSCOPY
Landry Duguet, INRIA Lyon, RDP - ENS Lyon, France; Julien Calve, Cyril Cauchois, INNOPSYS, France; Pierre Weiss, CNRS, Université de Toulouse, France
TP-V2.V12.3: VARIANCE-REDUCED RANDOMIZED KACZMARZ ALGORITHM IN XFEL SINGLE-PARTICLE IMAGING PHASE RETRIEVAL
Yin Xian, Yang Wang, Hong Kong University of Science and Technology, Hong Kong; Haiguang Liu, Microsoft Research Lab – Asia, China; Xuecheng Tai, Hong Kong Baptist University, Hong Kong
TP-V2.V12.4: 3D CENTROIDNET: NUCLEI CENTROID DETECTION WITH VECTOR FLOW VOTING
Liming Wu, Alain Chen, Edward Delp, Purdue University, United States of America; Paul Salama, Indiana University-Purdue University, United States of America; Kenneth Dunn, Indiana University, United States of America
TP-V2.V12.5: 3D PARTICLE PICKING IN CRYO-ELECTRON TOMOGRAMS USING INSTANCE SEGMENTATION
Guole Liu, Ge Yang, School of Artificial Intelligence, University of Chinese Academy of Sciences, China; Yaoru Luo, National Key Laboratory of Pattern Recognition of Automation, Chinese Academy of Sciences, China
TP-V2.V12.6: UNSUPERVISED MULTI-TASK LEARNING FOR 3D SUBTOMOGRAM IMAGE ALIGNMENT, CLUSTERING AND SEGMENTATION
Haoyi Zhu, Shanghai Jiao Tong University, China; Chuting Wang, Xin Gao, King Abdullah University of Science and Technology, Saudi Arabia; Yuanxin Wang, Zhaoxin Fan, Mostofa Rafid Uddin, Xiangrui Zeng, Min Xu, Carnegie Mellon University, United States of America; Jing Zhang, University of California, Irvine, United States of America
TP-V2.V12.7: BI-POLAR MASK FOR JOINT CELL AND NUCLEI INSTANCE SEGMENTATION
Wanbi Zhao, EPS Biotechnology, China; Xu Zhou, Shenzhen University, China
TP-V2.V12.8: DEEP ACTIVE LEARNING FOR CRYO-ELECTRON TOMOGRAPHY CLASSIFICATION
Tianyang Wang, Austin Peay State University, United States of America; Bo Li, Wei Wu, University of Southern Mississippi, United States of America; Jing Zhang, University of California Irvine, United States of America; Xiangrui Zeng, Mostofa Rafid Uddin, Min Xu, Carnegie Mellon University, United States of America
TP-V2.V12.9: DEEP NEURAL NETWORK-BASED NOISY PIXEL ESTIMATION FOR BREAST ULTRASOUND SEGMENTATION
Songbai Jin, Wenkai Lu, Patrice Monkam, Tsinghua University, China
TP-V2.V12.10: NPCFORMER: AUTOMATIC NASOPHARYNGEAL CARCINOMA SEGMENTATION BASED ON BOUNDARY ATTENTION AND GLOBAL POSITION CONTEXT ATTENTION
Ziqin Ling, Guihua Tao, Yang Li, Hongmin Cai, South China University of Technology, China
TP-V2.V12.11: RESIDUAL SWIN TRANSFORMER UNET WITH CONSISTENCY REGULARIZATION FOR AUTOMATIC BREAST ULTRASOUND TUMOR SEGMENTATION
Xianwei Zhuang, Xiner Zhu, Haoji Hu, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China, China; Jincao Yao, Wei Li, Chen Yang, Liping Wang, Na Feng, Dong Xu, Cancer Hospital of the University of Chinese Academy of Sciences(Zhejiang Cancer Hospital), Hangzhou, China, China
TP-V2.V12.12: SSP-REGULARIZER: A STAR SHAPE PRIOR BASED REGULARIZER FOR VESSEL LUMEN SEGMENTATION IN OCT IMAGES
Chen Zhao, Junyuan Wang, Fuqiang Liu, Tongji University, China; Huaizhong Zhang, Edge Hill University, United Kingdom of Great Britain and Northern Ireland
TP-V2.V12.13: DEEP LEARNING FROM IMAGING GENETICS FOR SCHIZOPHRENIA CLASSIFICATION
Hongkun Yu, Thomas Florian, Marquette University, United States of America; Vince Calhoun, Dong Hye Ye, Georgia State University, United States of America
TP-V2.V12.14: DIAGNOSING AUTISM SPECTRUM DISORDER USING ENSEMBLE 3D-CNN: A PRELIMINARY STUDY
Jingsheng Deng, Australian National University, Australia; Md Rakibul Hasan, BRAC University, Bangladesh; Minhaz Mahmud, Bangladesh Army International University of Science and Technology, Bangladesh; Md Mahbub Hasan, Khulna University of Engineering & Technology, Bangladesh; Khandaker Asif Ahmed, Commonwealth Scientific and Industrial Research Organisation, Australia; Md Zakir Hossain, Australian National University; Commonwealth Scientific and Industrial Research Organisation, Australia
TP-V2.V12.15: Cross domain Low-Dose CT image denoising with semantic information alignment
Jiaxin Huang, Kecheng Chen, Yazhou Ren, University of Electronic Science and Technology of China, China; Jiayu Sun, West China Hospital, Sichuan University, China; Xiaorong Pu, Mianyang Central Hospital, University of Electronic Science and Technology of China, China