Radiology METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII. January 16, 2024
Neurology | Radiology Leveraging 2D Deep Learning ImageNet-trained models for Native 3D Medical Image Analysis. November 6, 2023
Neurology | Radiology QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results. March 31, 2023
Neurology | Oncology | Radiology Artificial intelligence-based locoregional markers of brain peritumoral microenvironment. January 18, 2023
Neurology | Radiology Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments. November 5, 2022
Neurology | Radiology The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research. October 31, 2022
Deep Learning | Healthcare | Machine Learning OpenFL: the open federated learning library. October 5, 2022
Neurology | Oncology | Radiology Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma. May 24, 2022
Diabetology | Endocrinology | Healthcare AI Classification of Infection and Ischemia in Diabetic Foot Ulcers Using VGG Architectures. April 25, 2022
Neurology | Radiology Clinically Deployed Computational Assessment of Multiple Sclerosis Lesions. April 4, 2022
Neurology | Oncology | Radiology Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression. September 13, 2021