Bas Loomans

Full Professor

Radboud University Medical Center

Netherlands

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Bas Loomans is a Full Professor at Radboud University Nijmegen Medical Centre in the Netherlands. His research primarily focuses on the application of deep learning in dental diagnostics and treatment, including automated chart filing and tooth segmentation techniques. He has contributed to significant studies on tooth wear, bruxism, and the efficacy of various restorative options. Professor Loomans is also involved in exploring the clinical implications of salivary parameters and the development of innovative sensing platforms in dentistry.

Bas Loomans

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Articles (23)

Automated chart filing on bitewings using deep learning: enhancing clinical diagnosis in a multi-center study

Fully Automated Tooth Segmentation and Labeling for Both Full- and Partial-Arch Intraoral Scans Using Deep Learning

Restorative options for moderate and severe tooth wear: A systematic review

Exploring the relationship of salivary pH and flow rate with tooth wear severity: A cross-sectional study

Automated monitoring of tooth wear progression using AI on intraoral scans

Challenges in conducting clinical research in primary care dentistry

Tooth wear and bruxism: A scoping review

5.5-year-survival of CAD/CAM resin-based composite restorations in severe tooth wear patients

Detection of caries around restorations on bitewings using deep learning

Single crown vs. composite for glass fiber post-retained restorations: An 8-year randomized clinical trial

Combining public datasets for automated tooth assessment in panoramic radiographs

Densor: An Intraoral Battery-Free Sensing Platform

Occlusal splint or botulinum toxin-a for jaw muscle pain treatment in probable sleep bruxism: A randomized controlled trial

Inter- and intra-variability in tooth wear progression at surface-, tooth- and patient-level over a period of three years: A cohort study

Developing diagnostic criteria for tooth wear, a preliminary beta version based on expert opinion, and a narrative literature review

Fatigue behaviour of a self-healing dental composite

Perception of oral health related quality of life and orofacial aesthetics following restorative treatment of tooth wear: A five-year follow-up

Randomised controlled trial on testing an increased vertical dimension of occlusion prior to restorative treatment of tooth wear

Prevalence of tooth wear and associated factors: A birth cohort study

Deterioration of anterior resin composite restorations in moderate to severe tooth wear patients: 3-year results

Wear behaviour of direct composite restorations in tooth wear patients: a 5-year clinical study

Spin and reporting in systematic reviews with meta-analysis of randomized clinical trials in restorative dentistry

Precision of In Vivo Quantitative Tooth Wear Measurement using Intra-Oral Scans

Collaborators (9)

Verônica Pereira de Lima

Håvard Jostein Haugen

Tong Xi

Aws Alani

Ralph de Vries

Tatiana Pereira-Cenci

Tabea Flügge

Marie Charlotte Huysmans

niek opdam

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