Genetics | Precision Medicine Distributed transformer for high order epistasis detection in large-scale datasets. June 25, 2024
Radiology Reproducibility and Explainability of Deep Learning in Mammography: A Systematic Review of Literature. June 24, 2024
Neurology | Pulmonology | Radiology Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis. June 22, 2024
Artificial Intelligence | Parasitology AI-powered microscopy image analysis for parasitology: integrating human expertise. June 1, 2024
Neuroradiology | Radiology Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment. February 7, 2024
Medicine Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023. January 31, 2024
Machine Learning | Materials Science Explainability and human intervention in autonomous scanning probe microscopy. November 30, 2023
Pathology | Radiology A scoping review of interpretability and explainability concerning artificial intelligence methods in medical imaging. November 17, 2023
Bioinformatics | Genomics | Oncology Multiple-instance learning of somatic mutations for the classification of tumour type and the prediction of microsatellite status. November 3, 2023
Cardiology | Machine Learning The Price of Explainability in Machine Learning Models for 100-Day Readmission Prediction in Heart Failure: Retrospective, Comparative, Machine Learning Study. October 27, 2023
Oncology | Radiology A Deep Learning Framework with Explainability for the Prediction of Lateral Locoregional Recurrences in Rectal Cancer Patients with Suspicious Lateral Lymph Nodes. October 14, 2023