Silva, Mario

Well-aerated Lung on Admitting Chest CT to Predict Adverse Outcome in COVID-19 Pneumonia

Colombi, D., Bodini, F. C., Petrini, M., Maffi, G., Morelli, N., Milanese, G., Silva, M., Sverzellati, N., & Michieletti, E. (2020) · Radiology

COVID-19 Clinical Research StudiesCOVID-19 diagnosis using AI

Cited by 456

Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study

Walsh, S. L. F., Calandriello, L., Silva, M., & Sverzellati, N. (2018) · The Lancet Respiratory Medicine

Interstitial Lung Diseases and Idiopathic Pulmonary FibrosisRadiomics and Machine Learning in Medical Imaging

Cited by 390

Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules

Vaidhya Venkadesh, K., Aleef, T. A., Scholten, E. T., Saghir, Z., Silva, M., Sverzellati, N., Pastorino, U., van Ginneken, B., Prokop, M., & Jacobs, C. (2023) · Radiology

Lung Cancer Diagnosis and TreatmentAI in cancer detection

Cited by 32

9P Circulating tumour cells (CTCs) count and PD-L1 expression in untreated extensive small cell lung cancer patients treated in the REACTION trial, a phase II study of etoposide and cis/carboplatin with or without pembrolizumab (NCT02580994)

Menis, J., Bironzo, P., Radj, G., Greillier, L., Monnet, I., Livi, L., Young, R., Decroisette, C., Cloarec, N., Robinet, G., et al. (2020) · Annals of Oncology

Lung Cancer Research StudiesLung Cancer Diagnosis and Treatment

Cited by 2