ISBI 2020

6-Month Infant Brain MRI Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks

Unsupervised Adversarial Correction of Rigid MR Motion Artifacts

A Generic Ensemble Based Deep Convolutional Neural Network for Semi-Supervised Medical Image Segmentation

Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen

X-ray Photon-Counting Data Correction via Deep learning

Shape Constrained CNNs for Hippocampus Sub-Field Segmentation

Diffeomorphic Smoothing for Retinotopic Mapping

Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities

Generating Controllable Ultrasound Images of the Fetal Head

AF-SEG: An Annotation-Free Approach for Image Segmentation by Self-Supervision and Generative Adversarial Network

Circular Anchors for the Detection of Hematopoietic Cells Using RetinaNet

Deep Random Forests for Small Sample Size Prediction with Medical Imaging Data