Oral Sessions
O-1: Bridging the Task Barriers: Online Knowledge Distillation Across Tasks for Semi-Supervised Mediastinal Segmentation in CT
O-2: Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance
O-3: Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model
O-4: Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization
O-5: Fact-Checking of AI-Generated Reports
O-6: Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment
O-7: Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection
O-8: Replica-based Federated Learning with Heterogeneous Architectures for Graph Super-Resolution
O-9: Cross-view Contrastive Mutual Learning across Masked Autoencoders for Mammography Diagnosis
O-10: GEMTrans: A General, Echocardiography-based, Multi-Level Transformer Framework for Cardiovascular Diagnosis
O-11: MoViT: Memorizing Vision Transformers for Medical Image Analysis
O-12: Consistency Loss for Improved Colonoscopy Landmark Detection with Vision Transformers
O-13: Deformable Cross-Attention Transformer for Medical Image Registration
O-14: Cascaded Cross-Attention Networks for Data-Ecient Whole-Slide Image Classification Using Transformers
O-15: Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation
O-16: Normative Aging for an Individual’s Full Brain MRI Using Style GANs to Detect Localized Neurodegeneration
O-17: Tailoring Large Language Models to Radiology: A preliminary approach to LLM adaptation for a highly specialized domain
O-18: Cross-Domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Cardiac SPECT