IEEE International Symposium on Biomedical Imaging

Assured: A Self-Supervised Deep Decoder Network for Fetus Brain MRI Reconstruction

A Global-Local Features Exchange And Fusion Network for Multi-Organ Segmentation

Embedding Space Augmentation for Weakly Supervised Learning In Whole-Slide Images

A Spatiotemporal Illumination Model for 3D Image Fusion In Optical Coherence tomography

Trackerless Freehand Ultrasound with Sequence Modelling And Auxiliary Transformation Over Past And Future Frames

Difficulty Metrics Study for Curriculum-Based Deep Learning In the Context of Stroke Lesion Segmentation

Brain Subtle Anomaly Detection Based on Auto-Encoders Latent Space Analysis: Application to De Novo Parkinson Patients

A Stronger Baseline for Automatic Pfirrmann Grading of Lumbar Spine MRI Using Deep Learning

Pulmonary Segments Segmentation with Hierarchical Weak Labels

FRNET: An Effective Hybrid Structure for Automatic Segmentation of Head And Neck Primary Tumors From Multimodal Images

SAGTTA: Saliency Guided Test Time Augmentation for Medical Image Segmentation Across Vendor Domain Shift

Semi-Supervised Learning with Out-of-Distribution Unlabeled Samples for Retinal Image Classification