Lisa Vicenzi
0000-0001-9458-1325
Publication & Citation Trends
Publications
0 total
From dose to data: A proof of concept in predicting stereotactic body radiotherapy toxicity for gynaecologic tumors
Cited by 0
Semantic Scholar
Unsupervised Clustering Analysis Predicts The Treatment Outcomes Of Stereotactic Body Radiation Therapy In Oligometastatic Uterine Cancer
Cited by 1
Semantic Scholar
1876 Unsupervised machine-learning identifies patient clusters associated to treatment response after SBRT in oligometastatic gynaecological cancer
Cited by 0
Semantic Scholar
Potential prognostic role of the 18F-FDG PET/CT metabolic response in locally advanced cervical cancer after definitive chemoradiotherapy: a narrative review
Cited by 0
Semantic Scholar
Radiation Therapy in Non-Melanoma Skin Cancers: An Italian Survey on Behalf of the Italian Association of Radiotherapy and Clinical Oncology.
Cited by 0
Semantic Scholar
600: Radiation therapy in Non-Melanoma Skin Cancer (NMSC): an Italian survey on behalf of AIRO
Cited by 0
Semantic Scholar
Efficacy of stereotactic body radiotherapy and response prediction using artificial intelligence in oligometastatic gynaecologic cancer.
Cited by 8
Semantic Scholar
603: SBRT and artificial intelligence in oligometastatic GYN-cancers: a real-world study.
Cited by 0
Semantic Scholar
Research Topics
Endometrial and Cervical Cancer Treatments
(22)
Advanced Radiotherapy Techniques
(19)
Radiomics and Machine Learning in Medical Imaging
(12)
Ovarian cancer diagnosis and treatment
(10)
Lung Cancer Diagnosis and Treatment
(8)
Affiliations
University of Verona
University Medical Center Freiburg
Institut Gustave Roussy
University of Catania
Policlinico S.Orsola-Malpighi