Francesco Giganti

Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks

Eli Gibson, Francesco Giganti, Yipeng Hu et al. · IEEE Transactions on Medical Imaging · 2018 · 695 citations

Engineering, Machine Learning, Gastroenterology +19

Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study

Di Dong, M. Fang, Lingyun Tang et al. · Annals of Oncology · 2020 · 408 citations

ESUR/ESUI consensus statements on multi-parametric MRI for the detection of clinically significant prostate cancer: quality requirements for image acquisition, interpretation and radiologists’ training

Maarten de Rooij, Bas Israël, Marcia Tummers et al. · European Radiology · 2020 · 292 citations · Full text

Prostate Imaging Quality (PI-QUAL): A New Quality Control Scoring System for Multiparametric Magnetic Resonance Imaging of the Prostate from the PRECISION trial

Francesco Giganti, Clare Allen, Mark Emberton et al. · European Urology Oncology · 2020 · 287 citations

Urology, Engineering, Medical Imaging +9

Reporting Magnetic Resonance Imaging in Men on Active Surveillance for Prostate Cancer: The PRECISE Recommendations—A Report of a European School of Oncology Task Force

Caroline M. Moore, Francesco Giganti, Peter C. Albertsen et al. · European Urology · 2016 · 245 citations · Full text

Urology, Medical Imaging, Cancer Detection +6