Ophthalmology Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography. July 3, 2024
Oncology | Radiology Nodule detection and generation on chest X-rays: NODE21 Challenge. March 26, 2024
Obstetrics | Perinatal Care | Ultrasound Imaging BabyNet++: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery. November 5, 2023
Gynecology | Obstetrics Deep learning for estimation of fetal weight throughout the pregnancy from fetal abdominal ultrasound. October 11, 2023
Medical Imaging | Neurology | Ophthalmology Automatic Segmentation of Retinal Layers in Multiple Neurodegenerative Disorder Scenarios. September 8, 2023
Ophthalmology A Deep Learning Framework for the Detection and Quantification of Reticular Pseudodrusen and Drusen on Optical Coherence Tomography. December 2, 2022
Radiology Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison. May 18, 2022
Ophthalmology Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice. December 13, 2021
Neurology | Ophthalmology Quantification of key retinal features in early and late age-related macular degeneration using deep learning. January 10, 2021
Ophthalmology Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks: application to color fundus images. August 3, 2020