Y. Jiang, W. Hong, D. Farina, and O. Dössel. Solving the inverse problem of electrocardiography in a realistic environment using a spatio-temporal LSQR-Tikhonov hybrid regularization method. In IFMBE Proceedings World Congress on Medical Physics and Biomedical Engineering, vol. 25/2, pp. 817-820, 2009
Student Theses (2)
C. Hong. Deep Learning Based Detection, Third Segmentation and Classification of the Molar from CBCT Images. Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT). Masterarbeit. 2024
Abstract:
Accurately predicting the difficulty of wisdom tooth extraction is paramount in oral surgery, guiding treatment planning and ensuring patient safety. This study focuses on developing a predictive model for classifying the difficulty of wisdom tooth extraction using advanced deep learning techniques. Leveraging the insights from previous research and clinical exper- tise, we integrate Cone Beam Computed Tomography (CBCT) imaging and deep learning methodologies to automate the assessment of extraction complexity. Through a series of experimental stages, we refine our model by evaluating different annotation techniques, incorporation of edge information, feature fusion methods, backbone architectures, and projection-based classification approaches. Our findings demonstrate the efficacy of incorpo- rating segmented data from CBCT imaging, utilizing Principal Component Analysis (PCA) for feature extraction, and optimizing projection-based classification methods. By automating the identification of tooth positions and surrounding structures, our model provides valuable decision-making support to clinicians, enhancing surgical planning and risk assessment. This interdisciplinary approach to predicting wisdom tooth extraction difficulty represents a significant advancement in oral surgery, promising to improve surgical outcomes and patient care in clinical practice.
W. Hong. Lösen des inversen Problems der Elektrokardiographie mit hybriden Regularisierungsmethoden. Institut für Biomedizinische Technik, Karlsruher Institut für Technologie (KIT). Diplomarbeit. 2009