Pulmonology | Radiology A Denoising Self-supervised Approach for COVID-19 Pneumonia Lesion Segmentation with Limited Annotated CT Images. December 11, 2021
Neurosurgery | Radiology Segmentation of vestibular schwannoma from MRI, an open annotated dataset and baseline algorithm. October 29, 2021
Radiology MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning. June 12, 2021
Ophthalmology | Radiology Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning. December 28, 2020
Neurology | Radiology Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks. August 3, 2020
Radiology A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images. August 3, 2020
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
Radiology Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning. February 12, 2019
Computer-assisted intervention | Radiology NiftyNet: a deep-learning platform for medical imaging. November 14, 2018