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Inamoto, K., Minusculi Sander, B. M., Exposto, F. G., Herrero Babiloni, A., Svensson, P. & Costa, Y. M. (2025). Intraoral Sensory Alterations in Myofascial Orofacial Pain Patients: Implications for Clinical Management. Journal of Endodontics, 51(12), 1766-1774. https://doi.org/10.1016/j.joen.2025.09.013
Khalil, B., Baraka, M., Haghighat, S., Jain, S., Manila, N., Ramani, R., Tichy, A., Tolstaya, E., Schwendicke, F. & Pauwels, R. (2026). Synthetic Imaging in Dentistry: A Narrative Review of Deep Learning Techniques and Applications. Journal of Dentistry, 165, Article 106274. https://doi.org/10.1016/j.jdent.2025.106274
Nazari, A., Najafi, S. M. Y., Abbasi, R., Mohammad-Rahimi, H., Motie, P., Alamdari, M. I., Hosseinzadeh, M., Pauwels, R. & Schwendicke, F. (2025). Deep learning for dentomaxillofacial cone-beam computed tomography image quality enhancement: A pilot study. Imaging Science in Dentistry, 55(3), 271-279. https://doi.org/10.5624/isd.20250023
de Macedo, T. P., Gonçalves, C., Gonçalves, L. S., Vidal, P. P. P., Lima-Junior, J. D. C., Vettore, M. V. & Souza, R. C. D. (2025). Subgingival Bacterial Microbiota Profile of People Living With HIV-1 Under HAART: A Systematic Review. Special Care in Dentistry, 45(6), Article e70121. https://doi.org/10.1111/scd.70121
Mohammad Rahimi Khansari, H., Verdelis, K., Spin-Neto, R. & Pauwels, R. (2025). Enhancing Cone Beam Computed Tomography Image Quality Using Deep Learning. Abstract from 2025 IADR/PER General Session & Exhibition, Barcelona, Spain.
Global Burden of Disease 2021 Health Financing Collaborator Network (2023). Global investments in pandemic preparedness and COVID-19: development assistance and domestic spending on health between 1990 and 2026. The Lancet Global Health, 11(3), e385-e413. https://doi.org/10.1016/S2214-109X(23)00007-4

Search publications

Sort by: Date | Author | Title

Inamoto, K., Minusculi Sander, B. M., Exposto, F. G., Herrero Babiloni, A., Svensson, P. & Costa, Y. M. (2025). Intraoral Sensory Alterations in Myofascial Orofacial Pain Patients: Implications for Clinical Management. Journal of Endodontics, 51(12), 1766-1774. https://doi.org/10.1016/j.joen.2025.09.013
Khalil, B., Baraka, M., Haghighat, S., Jain, S., Manila, N., Ramani, R., Tichy, A., Tolstaya, E., Schwendicke, F. & Pauwels, R. (2026). Synthetic Imaging in Dentistry: A Narrative Review of Deep Learning Techniques and Applications. Journal of Dentistry, 165, Article 106274. https://doi.org/10.1016/j.jdent.2025.106274
Nazari, A., Najafi, S. M. Y., Abbasi, R., Mohammad-Rahimi, H., Motie, P., Alamdari, M. I., Hosseinzadeh, M., Pauwels, R. & Schwendicke, F. (2025). Deep learning for dentomaxillofacial cone-beam computed tomography image quality enhancement: A pilot study. Imaging Science in Dentistry, 55(3), 271-279. https://doi.org/10.5624/isd.20250023
de Macedo, T. P., Gonçalves, C., Gonçalves, L. S., Vidal, P. P. P., Lima-Junior, J. D. C., Vettore, M. V. & Souza, R. C. D. (2025). Subgingival Bacterial Microbiota Profile of People Living With HIV-1 Under HAART: A Systematic Review. Special Care in Dentistry, 45(6), Article e70121. https://doi.org/10.1111/scd.70121
Mohammad Rahimi Khansari, H., Verdelis, K., Spin-Neto, R. & Pauwels, R. (2025). Enhancing Cone Beam Computed Tomography Image Quality Using Deep Learning. Abstract from 2025 IADR/PER General Session & Exhibition, Barcelona, Spain.
Global Burden of Disease 2021 Health Financing Collaborator Network (2023). Global investments in pandemic preparedness and COVID-19: development assistance and domestic spending on health between 1990 and 2026. The Lancet Global Health, 11(3), e385-e413. https://doi.org/10.1016/S2214-109X(23)00007-4