Neurosurgery | Oncology | Radiology An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI. December 7, 2019
Radiology An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. November 9, 2019
Neurology | Radiology Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation. August 31, 2019
Radiology DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation. May 6, 2019
Biomedical Engineering | Gastroenterology | Oncology Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy. May 2, 2019
Pathology | Radiology Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction. March 29, 2019
Radiology Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning. February 12, 2019
Foetal surgery Towards computer-assisted TTTS: Laser ablation detection for workflow segmentation from fetoscopic video. November 27, 2018
Computer-assisted intervention | Radiology NiftyNet: a deep-learning platform for medical imaging. November 14, 2018