Search Results - "Gerven, Adriaan Van"

Artificial intelligence-driven novel tool for tooth detection and segmentation on panoramic radiographs by Leite, André Ferreira, Gerven, Adriaan Van, Willems, Holger, Beznik, Thomas, Lahoud, Pierre, Gaêta-Araujo, Hugo, Vranckx, Myrthel, Jacobs, Reinhilde

“…Objective To evaluate the performance of a new artificial intelligence (AI)-driven tool for tooth detection and segmentation on panoramic radiographs…”
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Convolutional neural network for automatic maxillary sinus segmentation on cone-beam computed tomographic images by Morgan, Nermin, Van Gerven, Adriaan, Smolders, Andreas, de Faria Vasconcelos, Karla, Willems, Holger, Jacobs, Reinhilde

“…An accurate three-dimensional (3D) segmentation of the maxillary sinus is crucial for multiple diagnostic and treatment applications. Yet, it is challenging…”
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Convolutional neural network‐based automated maxillary alveolar bone segmentation on cone‐beam computed tomography images by Fontenele, Rocharles Cavalcante, Gerhardt, Maurício do Nascimento, Picoli, Fernando Fortes, Van Gerven, Adriaan, Nomidis, Stefanos, Willems, Holger, Freitas, Deborah Queiroz, Jacobs, Reinhilde

“…Objectives To develop and assess the performance of a novel artificial intelligence (AI)‐driven convolutional neural network (CNN)‐based tool for automated…”
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Artificial Intelligence (AI)-Driven Molar Angulation Measurements to Predict Third Molar Eruption on Panoramic Radiographs by Vranckx, Myrthel, Van Gerven, Adriaan, Willems, Holger, Vandemeulebroucke, Arne, Ferreira Leite, André, Politis, Constantinus, Jacobs, Reinhilde

“…The purpose of the presented Artificial Intelligence (AI)-tool was to automatically segment the mandibular molars on panoramic radiographs and extract the…”
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Artificial intelligence-driven novel tool for tooth detection and segmentation on panoramic radiographs by Leite, André Ferreira, Gerven, Adriaan Van, Willems, Holger, Beznik, Thomas, Lahoud, Pierre, Gaêta-Araujo, Hugo, Vranckx, Myrthel, Jacobs, Reinhilde

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Artificial Intelligence for Fast and Accurate 3-Dimensional Tooth Segmentation on Cone-beam Computed Tomography by Lahoud, Pierre, EzEldeen, Mostafa, Beznik, Thomas, Willems, Holger, Leite, André, Van Gerven, Adriaan, Jacobs, Reinhilde

“…Tooth segmentation on cone-beam computed tomographic (CBCT) imaging is a labor-intensive task considering the limited contrast resolution and potential…”
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A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study by Shaheen, Eman, Leite, André, Alqahtani, Khalid Ayidh, Smolders, Andreas, Van Gerven, Adriaan, Willems, Holger, Jacobs, Reinhilde

“…Automatic tooth segmentation and classification from cone beam computed tomography (CBCT) have become an integral component of the digital dental workflows…”
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Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography by Verhelst, Pieter-Jan, Smolders, Andreas, Beznik, Thomas, Meewis, Jeroen, Vandemeulebroucke, Arne, Shaheen, Eman, Van Gerven, Adriaan, Willems, Holger, Politis, Constantinus, Jacobs, Reinhilde

“…To develop and validate a layered deep learning algorithm which automatically creates three-dimensional (3D) surface models of the human mandible out of…”
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Development and validation of a novel artificial intelligence driven tool for accurate mandibular canal segmentation on CBCT by Lahoud, Pierre, Diels, Siebe, Niclaes, Liselot, Van Aelst, Stijn, Willems, Holger, Van Gerven, Adriaan, Quirynen, Marc, Jacobs, Reinhilde

“…The objective of this study is the development and validation of a novel artificial intelligence driven tool for fast and accurate mandibular canal…”
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Automatic segmentation of the pharyngeal airway space with convolutional neural network by Shujaat, Sohaib, Jazil, Omid, Willems, Holger, Van Gerven, Adriaan, Shaheen, Eman, Politis, Constantinus, Jacobs, Reinhilde

“…This study proposed and investigated the performance of a deep learning based three-dimensional (3D) convolutional neural network (CNN) model for automatic…”
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Deep convolutional neural network-based automated segmentation of the maxillofacial complex from cone-beam computed tomography:A validation study by Preda, Flavia, Morgan, Nermin, Van Gerven, Adriaan, Nogueira-Reis, Fernanda, Smolders, Andreas, Wang, Xiaotong, Nomidis, Stefanos, Shaheen, Eman, Willems, Holger, Jacobs, Reinhilde

“…The present study investigated the accuracy, consistency, and time-efficiency of a novel deep convolutional neural network (CNN) based model for the automated…”
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Deep convolutional neural network-based automated segmentation and classification of teeth with orthodontic brackets on cone-beam computed-tomographic images: a validation study by Ayidh Alqahtani, Khalid, Jacobs, Reinhilde, Smolders, Andreas, Van Gerven, Adriaan, Willems, Holger, Shujaat, Sohaib, Shaheen, Eman

“…Summary Objective Tooth segmentation and classification from cone-beam computed tomography (CBCT) is a prerequisite for diagnosis and treatment planning in the…”
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Influence of dental fillings and tooth type on the performance of a novel artificial intelligence-driven tool for automatic tooth segmentation on CBCT images – A validation study by Fontenele, Rocharles Cavalcante, Gerhardt, Maurício do Nascimento, Pinto, Jáder Camilo, Van Gerven, Adriaan, Willems, Holger, Jacobs, Reinhilde, Freitas, Deborah Queiroz

“…To assess the influence of dental fillings on the performance of an artificial intelligence (AI)-driven tool for tooth segmentation on cone-beam computed…”
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Automated detection and labelling of teeth and small edentulous regions on cone-beam computed tomography using convolutional neural networks by Gerhardt, Maurício do Nascimento, Fontenele, Rocharles Cavalcante, Leite, André Ferreira, Lahoud, Pierre, Van Gerven, Adriaan, Willems, Holger, Smolders, Andreas, Beznik, Thomas, Jacobs, Reinhilde

“…To assess the accuracy of a novel Artificial Intelligence (AI)-driven tool for automated detection of teeth and small edentulous regions on Cone-Beam Computed…”
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Three-dimensional maxillary virtual patient creation by convolutional neural network-based segmentation on cone-beam computed tomography images by Nogueira-Reis, Fernanda, Morgan, Nermin, Nomidis, Stefanos, Van Gerven, Adriaan, Oliveira-Santos, Nicolly, Jacobs, Reinhilde, Tabchoury, Cinthia Pereira Machado

“…Objective To qualitatively and quantitatively assess integrated segmentation of three convolutional neural network (CNN) models for the creation of a maxillary…”
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