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Vásquez-Venegas C, Sotomayor CG, Ramos B, Castañeda V, Pereira G, Cabrera-Vives G, Härtel S. Human-in-the-Loop—A Deep Learning Strategy in Combination with a Patient-Specific Gaussian Mixture Model Leads to the Fast Characterization of Volumetric Ground-Glass Opacity and Consolidation in the Computed Tomography Scans of COVID-19 Patients. Journal of Clinical Medicine. 2024; 13(17):5231. https://doi.org/10.3390/jcm13175231

Vásquez-Venegas, Constanza, Camilo G. Sotomayor, Baltasar Ramos, Víctor Castañeda, Gonzalo Pereira, Guillermo Cabrera-Vives, and Steffen Härtel. 2024. "Human-in-the-Loop—A Deep Learning Strategy in Combination with a Patient-Specific Gaussian Mixture Model Leads to the Fast Characterization of Volumetric Ground-Glass Opacity and Consolidation in the Computed Tomography Scans of COVID-19 Patients" Journal of Clinical Medicine 13, no. 17: 5231. https://doi.org/10.3390/jcm13175231

Vásquez-Venegas, C., Sotomayor, C. G., Ramos, B., Castañeda, V., Pereira, G., Cabrera-Vives, G., & Härtel, S. (2024). Human-in-the-Loop—A Deep Learning Strategy in Combination with a Patient-Specific Gaussian Mixture Model Leads to the Fast Characterization of Volumetric Ground-Glass Opacity and Consolidation in the Computed Tomography Scans of COVID-19 Patients. Journal of Clinical Medicine, 13(17), 5231. https://doi.org/10.3390/jcm13175231