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Department of Dentistry and Oral Health

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Reichardt, E., Del Rey, Y. C., Schlafer, S. & Kristensen, M. F. (2026). An epifluorescence microscopy-based method for ratiometric pH measurements in dental biofilms. Journal of Microbiological Methods, 248, Article 107615. https://doi.org/10.1016/j.mimet.2026.107615

de Castro, P. H. D. F., Rebelo, M. A. B. & Vettore, M. V. (2026). Socioeconomic Factors, Dental Service Use and Clusters of Oral Health Conditions in Brazilian Five-Year-Old Children. Community Dentistry and Oral Epidemiology. Advance online publication. https://doi.org/10.1111/cdoe.70093

Mohammad-Rahimi, H., Verdelis, K., Spin-Neto, R., de Freitas, B. N., Alamdari, M. I., Arianezhad, S. M. & Pauwels, R. (2026). Deep learning-driven super-resolution for cone-beam computed tomography: An ex vivo proof-of-concept study using artificially degraded micro-computed tomography data. Imaging Science in Dentistry, 56(2), 190-203. https://doi.org/10.5624/isd.20260010

Christensen, J., Spin-Neto, R. & Kirkevang, L. L. (2026). Follow-up of periapical inflammation after root canal retreatment and surgical endodontic treatment using dental-dedicated magnetic resonance imaging: a case report. Oral Radiology. Advance online publication. https://doi.org/10.1007/s11282-026-00948-0

Rubak, J. A. B., Haghighat, S., Jain, S., Aldesoki, M., Chaurasia, A., Ehsani, S. S., Ghanatkaman, F. D., Ghazali, A. B., Issa, J., Khalil, B., Ramani, R. & Pauwels, R. (2026). Deep Learning-Based Assessment of the Relation Between the Third Molar and Mandibular Canal on Panoramic Radiographs Using Local, Centralized, and Federated Learning in a Simulated Multi-Center Setting. Applied Sciences (Switzerland), 16(12), Article 6154. https://doi.org/10.3390/app16126154

Tzanetakis, G. N., Nagendrababu, V., Govindaraju, L., Duncan, H. F., Setzer, F. C., Spin-Neto, R., Villa-Machado, P. A. & Dummer, P. M. H. (2026). A Protocol for the Development of a Three-Dimensional Classification of Endodontic Lesions Scheduled for Surgery. International Endodontic Journal. Advance online publication. https://doi.org/10.1111/iej.70218

Bjelovucic, R., de Freitas, B. N., Nørholt, S. E., Taneja, P., Wolff, J. & Pauwels, R. (2026). An Exploratory Comparative Analysis of Mixed Reality Simulation Versus 3D-Printed Models for Undergraduate Training in Third Molar Removal. Journal of Dental Education. Advance online publication. https://doi.org/10.1002/jdd.70302

Sampaio-Oliveira, M., Fagundes, F. B., Marinho-Vieira, L. E., Spin-Neto, R. & Oliveira, M. L. (2026). Do Artifacts From Dental Implants Impair the Diagnosis of Simulated Internal Root Resorption in Cone-Beam CT? Clinical and Experimental Dental Research, 12(3), Article e70373. https://doi.org/10.1002/cre2.70373

Pirayesh, Z., Sohrabniya, F., Ourang, S. A. H., Mohammad-Rahimi, H., Esmaeili, S., Khosravani, S., Motamedian, S. R., Schwendicke, F. & Tichy, A. (2026). Predicting Perceived Profile Attractiveness From Cephalometric Measurements Using Machine Learning. International Dental Journal, 76(4), Article 109679. https://doi.org/10.1016/j.identj.2026.109679

Rezai, E., Matzen, L. H., Kaaber, L. & Schropp, L. (2026). Comparison of low-, standard- and high-dose protocols of CBCT assessing anatomical landmarks and pathology related to third molars: An ex vivo study. Abstract from 20th European Congress of DentoMaxilloFacial Radiology, Iasi, Romania.

Displaying results 11 to 20 out of 4267

2

Search publications

Sort by: Date | Author | Title

Reichardt, E., Del Rey, Y. C., Schlafer, S. & Kristensen, M. F. (2026). An epifluorescence microscopy-based method for ratiometric pH measurements in dental biofilms. Journal of Microbiological Methods, 248, Article 107615. https://doi.org/10.1016/j.mimet.2026.107615

de Castro, P. H. D. F., Rebelo, M. A. B. & Vettore, M. V. (2026). Socioeconomic Factors, Dental Service Use and Clusters of Oral Health Conditions in Brazilian Five-Year-Old Children. Community Dentistry and Oral Epidemiology. Advance online publication. https://doi.org/10.1111/cdoe.70093

Mohammad-Rahimi, H., Verdelis, K., Spin-Neto, R., de Freitas, B. N., Alamdari, M. I., Arianezhad, S. M. & Pauwels, R. (2026). Deep learning-driven super-resolution for cone-beam computed tomography: An ex vivo proof-of-concept study using artificially degraded micro-computed tomography data. Imaging Science in Dentistry, 56(2), 190-203. https://doi.org/10.5624/isd.20260010

Christensen, J., Spin-Neto, R. & Kirkevang, L. L. (2026). Follow-up of periapical inflammation after root canal retreatment and surgical endodontic treatment using dental-dedicated magnetic resonance imaging: a case report. Oral Radiology. Advance online publication. https://doi.org/10.1007/s11282-026-00948-0

Rubak, J. A. B., Haghighat, S., Jain, S., Aldesoki, M., Chaurasia, A., Ehsani, S. S., Ghanatkaman, F. D., Ghazali, A. B., Issa, J., Khalil, B., Ramani, R. & Pauwels, R. (2026). Deep Learning-Based Assessment of the Relation Between the Third Molar and Mandibular Canal on Panoramic Radiographs Using Local, Centralized, and Federated Learning in a Simulated Multi-Center Setting. Applied Sciences (Switzerland), 16(12), Article 6154. https://doi.org/10.3390/app16126154

Tzanetakis, G. N., Nagendrababu, V., Govindaraju, L., Duncan, H. F., Setzer, F. C., Spin-Neto, R., Villa-Machado, P. A. & Dummer, P. M. H. (2026). A Protocol for the Development of a Three-Dimensional Classification of Endodontic Lesions Scheduled for Surgery. International Endodontic Journal. Advance online publication. https://doi.org/10.1111/iej.70218

Bjelovucic, R., de Freitas, B. N., Nørholt, S. E., Taneja, P., Wolff, J. & Pauwels, R. (2026). An Exploratory Comparative Analysis of Mixed Reality Simulation Versus 3D-Printed Models for Undergraduate Training in Third Molar Removal. Journal of Dental Education. Advance online publication. https://doi.org/10.1002/jdd.70302

Sampaio-Oliveira, M., Fagundes, F. B., Marinho-Vieira, L. E., Spin-Neto, R. & Oliveira, M. L. (2026). Do Artifacts From Dental Implants Impair the Diagnosis of Simulated Internal Root Resorption in Cone-Beam CT? Clinical and Experimental Dental Research, 12(3), Article e70373. https://doi.org/10.1002/cre2.70373

Pirayesh, Z., Sohrabniya, F., Ourang, S. A. H., Mohammad-Rahimi, H., Esmaeili, S., Khosravani, S., Motamedian, S. R., Schwendicke, F. & Tichy, A. (2026). Predicting Perceived Profile Attractiveness From Cephalometric Measurements Using Machine Learning. International Dental Journal, 76(4), Article 109679. https://doi.org/10.1016/j.identj.2026.109679

Rezai, E., Matzen, L. H., Kaaber, L. & Schropp, L. (2026). Comparison of low-, standard- and high-dose protocols of CBCT assessing anatomical landmarks and pathology related to third molars: An ex vivo study. Abstract from 20th European Congress of DentoMaxilloFacial Radiology, Iasi, Romania.

Displaying results 11 to 20 out of 4267

2

Revised 11.09.2025

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