Oncology | Radiology Deep learning-based segmentation of multisite disease in ovarian cancer. December 6, 2023
Medical Imaging | Radiology Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation. June 11, 2023
Pathology | Radiology Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation. December 6, 2022
Neurology | Oncology | Radiology Predicting Survival in Patients with Brain Tumors: Current State-of-the-Art of AI Methods Applied to MRI. September 28, 2022
Neurology | Oncology | Radiology Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future Perspectives. August 30, 2022
Neurology | Radiology Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey. July 27, 2022
Oncology | Radiology | Urology Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review. March 29, 2022
Neurology | Oncology | Ophthalmology | Radiology Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation. December 25, 2021
Computer Vision | Gastroenterology | Medical Imaging Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy. September 10, 2021
Biomedicine | Healthcare Systems | Radiology AI applications to medical images: From machine learning to deep learning. March 4, 2021