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Journal of Medical Imaging (Bellingham, Wash.)|October 17, 2024
Deep learning architecture for scatter estimation in cone-beam computed tomography head imaging with varying field-of-measurement settingsHarshit Agrawal, Ari Hietanen, Simo Särkkä
Analytical Chemistry|March 14, 2007
Comprehensive two-dimensional field-flow fractionation-liquid chromatography in the analysis of large moleculesGebrenegus Yohannes, Susanne K Wiedmer, Jaakko Hiidenhovi, et al.
Journal of X-Ray Science and Technology|April 13, 2026
Branchless distance-driven and hybrid projectors in iterative cone beam CTVille-Veikko Wettenhovi, Ari Hietanen, Nargiza Djurabekova, et al.
Journal of Imaging|January 20, 2023
The Optimization of the Light-Source Spectrum Utilizing Neural Networks for Detecting Oral LesionsKenichi Ito, Hiroshi Higashi, Ari Hietanen, et al.
Dento Maxillo Facial Radiology|June 29, 2022
Influence of head positioning during cone-beam CT imaging on the accuracy of virtual 3D modelsMaureen van Eijnatten, Jan Wolff, Ruben Pauwels, et al.
Scientific Reports|April 5, 2020
Deep Learning Method for Mandibular Canal Segmentation in Dental Cone Beam Computed Tomography VolumesJoel Jaskari, Jaakko Sahlsten, Jorma Järnstedt, et al.
Scientific Reports|August 29, 2023
Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT datasetJorma Järnstedt, Jaakko Sahlsten, Joel Jaskari, et al.
Plos One|June 25, 2024
Deep learning for 3D cephalometric landmarking with heterogeneous multi-center CBCT datasetJaakko Sahlsten, Jorma Järnstedt, Joel Jaskari, et al.
Scientific Reports|November 4, 2022
Comparison of deep learning segmentation and multigrader-annotated mandibular canals of multicenter CBCT scansJorma Järnstedt, Jaakko Sahlsten, Joel Jaskari, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|December 19, 2023
Small animal PET with spontaneous inhalation of <sup>15</sup>O-labelled oxygen gases: Longitudinal assessment of cerebral oxygen metabolism in a rat model of neonatal hypoxic-ischaemic encephalopathySaeka Shimochi, Jukka Ihalainen, Vilhelmiina Parikka, et al.
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