El Moaqet, H., Qaddoura, H., Ryalat, M., Almtireen, N., Abdulbaki Alshirbaji, T., Jalal, N. A., Neumuth, T., & Möller, K. [ca. 2025]. Deep learning architectures for single-label and multi-label surgical tool classification in minimally invasive surgeries [Cd]. Freiburg: Universität. https://doi.org/10.3390/app15116121
ISO-690 (author-date, English)ELMOAQET, Hisham, QADDOURA, Hamzeh, RYALAT, Mutaz, ALMTIREEN, Natheer, ABDULBAKI ALSHIRBAJI, Tamer, JALAL, Nour Aldeen, NEUMUTH, Thomas und MÖLLER, Knut, 2025. Deep learning architectures for single-label and multi-label surgical tool classification in minimally invasive surgeries. Freiburg: Universität.
Modern Language Association 9th editionEl Moaqet, H., H. Qaddoura, M. Ryalat, N. Almtireen, T. Abdulbaki Alshirbaji, N. A. Jalal, T. Neumuth, und K. Möller. Deep learning architectures for single-label and multi-label surgical tool classification in minimally invasive surgeries. cd, Universität, 2025, https://doi.org/10.3390/app15116121.
Mohr Siebeck - Recht (Deutsch - Österreich)El Moaqet, Hisham/Qaddoura, Hamzeh/Ryalat, Mutaz/Almtireen, Natheer/Abdulbaki Alshirbaji, Tamer/Jalal, Nour Aldeen u. a.: Deep learning architectures for single-label and multi-label surgical tool classification in minimally invasive surgeries, Freiburg 2025.
Emerald - HarvardEl Moaqet, H., Qaddoura, H., Ryalat, M., Almtireen, N., Abdulbaki Alshirbaji, T., Jalal, N.A., Neumuth, T. und Möller, K. (2025), Deep learning architectures for single-label and multi-label surgical tool classification in minimally invasive surgeries, Bd. , Universität, Freiburg, verfügbar unter:https://doi.org/10.3390/app15116121.