IEEE International Symposium on Biomedical Imaging

Triplet-Uncertainty In Multi-Task Deep Learning for Improving Malignancy Characterization of Hepatocellular Carcinoma

Uncertainty Assessment In Whole-Body Low Dose Pet Reconstruction Using Non-Parametric Bayesian Deep Learning Approach

SEGCRIP: Segmentation-Based Dynamic Cropping of Endoscopic Videos to Address Label Leakage In Surgical tool Detection

Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation

SCU-NET: A Shape-Supervised Contextual-Fusion U-Net for the Dilated Biliary Tree Segmentation

A Deep Learning Prediction Model for Predicting Alzheimer'S Disease And Quantifying Asymmetric Degeneration of the Hippocampus

Deep Reinforcement Learning Based Unrolling Network for MRI Reconstruction

Cycle-Consistent Adversarial Diffusion for Unsupervised Medical Image Translation

DEEPRGVP: A Novel Microstructure-Informed Supervised Contrastive Learning Framework for Automated Identification of the Retinogeniculate Pathway Using DMRI Trctography

Breast Lesion Diagnosis Using Static Images And Dynamic Video

Multiple Instance Learning with Critical Instance for Whole Slide Image Classification

CNSEG-GAN: A Lightweight Generative Adversarial Network for Segmentation of Crl And Nt From First-Trimester Fetal Ultrasound