IEEE International Symposium on Biomedical Imaging

Efficient 3D Transformer with Cluster-Based Domain-Adversarial Learning for Volumetric Medical Image Segmentation

Advances In MRI-Based Radiomics for Prostate Cancer

Representative Functional Connectivity Learning for Multiple Clinical Groups In Alzheimer'S Disease

Semi-Supervised Contrastive Learning for Optical Coherence tomography Device Adaptation In Retinal Layer Segmentation

Improved Counting And Localization From Density Maps for Object Detection In 2D And 3D Microscopy Imaging

Self-Supervised Learning Guided Transformer for Survival Prediction of Lung Cancer Using Pathological Images

Tractography-Based Parcellation of Cerebellar Dentate Nuclei Via A Deep Nonnegative Matrix Factorization Clustering Method

Automatic Lobe Segmentation Using Attentive Cross Entropy And End-to-End Fissure Generation

Prostate Capsule Segmentation In Micro-Ultrasound Images Using Deep Neural Networks

Graph Proposal Neural Networks for Cell Detection Immunostained Hodgkin Lymphoma Histology Images

G2Ll: Global-to-Local Self-Supervised Learning for Label-Efficient Transformer-Based Skin Lesion Segmentation In Dermoscopy Images

Using Graph Neural Networks to Capture Tumor Spatial Relationships for Lung Adenocarcinoma Recurrence Prediction