WA2.L6.2
AN INTERPRETABLE DEEP GRAPH NEURAL NETWORK BASED ON ATTENTIONAL MULTI-SCALE FEATURE FUSION FOR FMRI ANALYSIS
Likai Wang, Tao Zhu, Yipu Zhang, Chang’an University, China
Session:
WA2.L6: Medical Image Analysis - III Lecture
Track:
Biomedical Image Processing
Location:
Lecture Room 6
Presentation Time:
Wed, 30 Oct, 10:48 - 11:06 Gulf Standard Time (UTC +4)
Session Co-Chairs:
Fahad Sohrab, Tampere University and Serkan Kiranyaz, Qatar University
Session WA2.L6
WA2.L6.1: Deep Multi-Graph Embedded Clustering for Community Detection in fMRI Functional Brain Networks Across Individuals
Kai-Jun See, Chee-Ming Ting, Fuad Noman, Junn Yong Loo, Yee-Fan Tan, Monash University Malaysia, Malaysia; Hernando Ombao, King Abdullah University of Science and Technology (KAUST), Saudi Arabia; Raphaël C.-W. Phan, Monash University Malaysia, Malaysia
WA2.L6.2: AN INTERPRETABLE DEEP GRAPH NEURAL NETWORK BASED ON ATTENTIONAL MULTI-SCALE FEATURE FUSION FOR FMRI ANALYSIS
Likai Wang, Tao Zhu, Yipu Zhang, Chang’an University, China
WA2.L6.3: Refining Myocardial Infarction Detection: A Novel Multi-Modal Composite Kernel Strategy in One-Class Classification
Muhammad Uzair Zahid, Aysen Degerli, Fahad Sohrab, Tampere University, Finland; Serkan Kiranyaz, Qatar University, Qatar; Tahir Hamid, Rashid Mazhar, Hamad Medical Corporation, Qatar; Moncef Gabbouj, Tampere University, Finland
WA2.L6.4: A NEEDLE IN A (MEDICAL) HAYSTACK: DETECTING A BIOPSY NEEDLE IN ULTRASOUND IMAGES USING VISION TRANSFORMERS
Agata Wijata, Bartłomiej Pyciński, Jakub Nalepa, Silesian University of Technology, Poland
WA2.L6.5: CST-YOLO: A NOVEL METHOD FOR BLOOD CELL DETECTION BASED ON IMPROVED YOLOV7 AND CNN-SWIN TRANSFORMER
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan, Monash University, Malaysia Campus, Malaysia
Contacts