March 14, 2019 conference-paper Open access Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI SPIE Medical Imaging: Image Processing DOI: 10.1117/12.2511699 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 52 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 Comparing Bayesian models for organ contouring in head and neck radiotherapy 2022 SPIE Medical Imaging: Image Processing conference-paper Computer Science Medical Image Segmentation Techniques Open access 5 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 2 results References 0