Ferrara, Gerardo

How to diagnose nonpigmented skin tumors: A review of vascular structures seen with dermoscopy

Zalaudek, I., Kreusch, J., Giacomel, J., Ferrara, G., Catricalà, C., & Argenziano, G. (2010) · Journal of the American Academy of Dermatology

Nonmelanoma Skin Cancer StudiesCutaneous Melanoma Detection and Management

Cited by 346

Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts

Haggenmüller, S., Maron, R. C., Hekler, A., Utikal, J. S., Barata, C., Barnhill, R. L., Beltraminelli, H., Berking, C., Betz-Stablein, B., Blum, A., et al. (2021) · European Journal of Cancer

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 267

Dermoscopy in General Dermatology

Zalaudek, I., Argenziano, G., Di Stefani, A., Ferrara, G., Marghoob, A. A., Hofmann-Wellenhof, R., Soyer, H. P., Braun, R., & Kerl, H. (2006) · Dermatology

Cutaneous Melanoma Detection and ManagementMedicine and Dermatology Studies History

Cited by 252

Nonstandard Errors

MENKVELD, A. J., DREBER, A., HOLZMEISTER, F., HUBER, J., JOHANNESSON, M., KIRCHLER, M., NEUSÜß, S., RAZEN, M., WEITZEL, U., ABAD‐DÍAZ, D., et al. (2024) · The Journal of Finance

Meta-analysis and systematic reviewsscientometrics and bibliometrics research

Cited by 113

Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification

Höhn, J., Krieghoff-Henning, E., Jutzi, T. B., von Kalle, C., Utikal, J. S., Meier, F., Gellrich, F. F., Hobelsberger, S., Hauschild, A., Schlager, J. G., et al. (2021) · European Journal of Cancer

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 106

Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists

Brinker, T. J., Schmitt, M., Krieghoff-Henning, E. I., Barnhill, R., Beltraminelli, H., Braun, S. A., Carr, R., Fernandez-Figueras, M.-T., Ferrara, G., Fraitag, S., et al. (2022) · Journal of the American Academy of Dermatology

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 70

A pilot study of a combined dermoscopic–pathological approach to the telediagnosis of melanocytic skin neoplasms

Ferrara, G., Argenziano, G., Cerroni, L., Cusano, F., Di Blasi, A., Urso, C., & Soyer, H. P. (2004) · Journal of Telemedicine and Telecare

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 50

Evaluating deep learning-based melanoma classification using immunohistochemistry and routine histology: A three center study

Wies, C., Schneider, L., Haggenmüller, S., Bucher, T.-C., Hobelsberger, S., Heppt, M. V., Ferrara, G., Krieghoff-Henning, E. I., & Brinker, T. J. (2024) · PLOS ONE

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 16

A 3-Dimensional Histology Computer Model of Malignant Melanoma and Its Implications for Digital Pathology

Kurz, A., Krahl, D., Kutzner, H., Barnhill, R., Perasole, A., Figueras, M. T. F., Ferrara, G., Braun, S. A., Starz, H., Llamas-Velasco, M., et al. (2023) · European Journal of Cancer

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 10