Oral Session 2
Computer-aided diagnosis/detection/prediction
11:15 - 12:30
O-5: Fact-Checking of AI-Generated Reports
O-5: Fact-Checking of AI-Generated Reports
Oral-110.mp4Oral-110.pdfO-6: Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment
O-6: Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment
Oral-128.mp4Oral-128.pdfO-7: Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection
O-7: Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection
Oral-070.mp4Oral-070.pdfO-8: Replica-based Federated Learning with Heterogeneous Architectures for Graph Super-Resolution
O-8: Replica-based Federated Learning with Heterogeneous Architectures for Graph Super-Resolution
Oral-139.mp4Oral-139.pdfO-9: Cross-view Contrastive Mutual Learning across Masked Autoencoders for Mammography Diagnosis
O-9: Cross-view Contrastive Mutual Learning across Masked Autoencoders for Mammography Diagnosis
Oral-034.mp4Oral-034.pdf