Andreas Smolders - Concepedia

Author

Andreas Smolders

KU Leuven ORCID

Also Known As

A Smolders, A. SMOLDERS, A. Smolders, Andreas Johan Smolders, Andreas Smolders, Smolders, Andreas Johan

Publications

1.1K

Citations

H-Index

Concepts

All Affiliations

KU Leuven Karolinska Institutet Paul Scherrer Institute University Hospital of Bern ETH Zurich

About

Andreas Smolders is an author at KU Leuven specializing in engineering, medical imaging, and health sciences.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	616
2	Health Sciences	4	4	413
3	Natural Sciences	1	1	203
4	Mechanical Engineering	1	1	203
5	Orthopaedics	1	1	84

Andreas Smolders

Publications

Citations

H-Index

Page 1

	Year	Citations
Gelcasting, a near net shape technique Ron Gilissen, Jean‐Pierre Erauw, Andreas Smolders, Materials & Design (1980-2015) Geometric ModelingPattern FormationEngineeringNatural SciencesMechanical Engineering	2000	203
Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography Pieter-Jan Verhelst, Andreas Smolders, Thomas Beznik, Journal of Dentistry Computed TomographyImage ReconstructionImage AnalysisMachine LearningMedical Imaging	2021	144
A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study Eman Shaheen, André Ferreira Leite, Khalid Ayidh Alqahtani, Journal of Dentistry Computed TomographyImage AnalysisEngineeringMedical ImagingPattern Recognition	2021	120
Convolutional neural network for automatic maxillary sinus segmentation on cone-beam computed tomographic images Nermin Morgan, Adriaan Van Gerven, Andreas Smolders, Scientific Reports	2022	85
Deep convolutional neural network-based automated segmentation of the maxillofacial complex from cone-beam computed tomography:A validation study Flavia Preda, Nermin Morgan, Adriaan Van Gerven, Journal of Dentistry Computed TomographyImage ReconstructionImage AnalysisEngineeringMedical Imaging	2022	84
Overview of the TCV tokamak experimental programme H. Reimerdes, M. Agostini, E. Alessi, Nuclear Fusion	2022	67
Automated detection and labelling of teeth and small edentulous regions on cone-beam computed tomography using convolutional neural networks Maurício do Nascimento Gerhardt, Rocharles Cavalcante Fontenele, André Ferreira Leite, Journal of Dentistry Computed TomographyImage AnalysisEngineeringMedical ImagingDeep Learning	2022	65
Deep convolutional neural network-based automated segmentation and classification of teeth with orthodontic brackets on cone-beam computed-tomographic images: a validation study Khalid Ayidh Alqahtani, Reinhilde Jacobs, Andreas Smolders, European Journal of Orthodontics	2022	58
The role of plasma-molecule interactions on power and particle balance during detachment on the TCV tokamak K. Verhaegh, B. Lipschultz, J. Harrison, Nuclear Fusion	2021	47
Comparison of high density and nitrogen seeded detachment using SOLPS-ITER simulations of the tokamak á configuration variable Andreas Smolders, M. Wensing, S. Carli, Plasma Physics and Controlled Fusion	2020	27

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