September 07, 2019 article Open access Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation Medical Image Analysis DOI: 10.1016/j.media.2019.101557 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 456 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Using ensemble radiomic models to identify uncertainty in lung nodule classifications 2025 European Journal of Radiology Artificial Intelligence article Medicine Radiomics and Machine Learning in Medical Imaging Open access 1 citations Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation 2024 The Journal of Machine Learning for Biomedical Imaging article Computer Science Medical Image Segmentation Techniques Open access 2 citations Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation 2023 preprint Computer Science Medical Image Segmentation Techniques Open access 0 citations Improving Error Detection in Deep Learning Based Radiotherapy Autocontouring Using Bayesian Uncertainty 2022 Lecture notes in computer science conference-paper Computer Science Medical Image Segmentation Techniques 4 citations 4 results References 0