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Pfänder, L; Schneider, L; Büttner, M; Krois, J; Meyer-Lueckel, H; Schwendicke, F (2023). Multi-Modal Deep Learning for Automated Assembly of Periapical Radiographs. Journal of dentistry, 135, p. 104588. Elsevier 10.1016/j.jdent.2023.104588
Schneider, L; Arsiwala-Scheppach, L; Krois, J; Meyer-Lueckel, H; Bressem, K K; Niehues, S M; Schwendicke, F (2022). Benchmarking Deep Learning Models for Tooth Structure Segmentation. Journal of dental research, 101(11), pp. 1343-1349. Sage 10.1177/00220345221100169
Schwendicke, F; Cejudo Grano de Oro, J; Garcia Cantu, A; Meyer-Lueckel, H; Chaurasia, A; Krois, J (2022). Artificial Intelligence for Caries Detection: Value of Data and Information. Journal of dental research, 101(11), pp. 1350-1356. Sage 10.1177/00220345221113756
Schmalz, G; Jakubovics, N; Schwendicke, F (2022). Normative Approaches for Oral Health: Standards, Specifications, and Guidelines. Journal of dental research, 101(5), pp. 489-494. Sage 10.1177/00220345211049695
Paris, S; Schwendicke, F; Soviero, V; Meyer-Lückel, Hendrik (2019). Accuracy of tactile assessment in order to detect proximal cavitation of caries lesions in vitro. Clinical oral investigations, 23(7), pp. 2907-2912. Springer-Verlag 10.1007/s00784-018-02794-9
Kramer, E J; Meyer-Lückel, H.; Wolf, Thomas Gerhard; Schwendicke, F; Naumann, M; Wierichs, R J (2019). Success and survival of post-restorations: six-year results of a prospective observational practice-based clinical study. International endodontic journal, 52(5), pp. 569-578. Wiley-Blackwell 10.1111/iej.13040
Askar, H; Schwendicke, F; Lausch, J; Meyer-Lückel, Hendrik; Paris, S (2018). Modified resin infiltration of non-, micro- and cavitated proximal caries lesions in vitro. Journal of dentistry, 74, pp. 56-60. Elsevier Science 10.1016/j.jdent.2018.03.010
