January 01, 2019 conference-paper Comparative Evaluation of Hand-Engineered and Deep-Learned Features for Neonatal Hip Bone Segmentation in Ultrasound Lecture notes in computer science DOI: 10.1007/978-3-030-32245-8_2 OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 18 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 Ultrasound-based 3D bone modelling in computer assisted orthopedic surgery – a review and future challenges 2024 Computer Assisted Surgery article Computer Science Medical Image Segmentation Techniques Open access 10 citations Knee Bone Models From Ultrasound 2023 IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control article Computer Science Medical Image Segmentation Techniques Open access 8 citations CNN based 2D vs. 3D Segmentation of Bone in Ultrasound Images 2022 EPiC series in health sciences conference-paper Computer Science Medical Image Segmentation Techniques Open access 2 citations Standardized Evaluation of Current Ultrasound Bone Segmentation Algorithms on Multiple Datasets 2022 EPiC series in health sciences conference-paper Computer Science Medical Image Segmentation Techniques Open access 4 citations 4 results References 0