OPTIMIZATION OF PSA DENSITY THRESHOLD THROUGH AUTOMATED PROSTATE VOLUME SEGMENTATION WITH DEEP LEARNING FOR THE DIAGNOSIS OF CLINICALLY SIGNIFICANT PROSTATE CANCER
ADNEXAL MASSES AND RISK OF MALIGNANCY BY RADIOMICS, EXTERNAL VALIDATION OF A DECISION SUPPORT TOOL
A MACHINE LEARNING MODEL BASED ON MRI RADIOMICS TO PREDICT RESPONSE TO CHEMORADIATION AMONG PATIENTS WITH RECTAL CANCER
MACHINE LEARNING PREDICTS PULMONARY LONG COVID SEQUELAE USING CLINICAL DATA
RECENT ADVANCES IN CLINICAL AND EXPERIMENTAL RESEARCH ON DEMENTIA AND NEURODEGENERATIVE DISORDERS
RECENT ADVANCES IN CLINICAL AND EXPERIMENTAL RESEARCH ON DEMENTIA AND NEURODEGENERATIVE DISORDERS
USING RADIOMICS AND MACHINE LEARNING APPLIED TO MRI TO PREDICT RESPONSE TO NEOADJUVANT CHEMOTHERAPY IN LOCALLY ADVANCED CERVICAL CANCER [publication website]
ADNEXAL MASSES AND RISK OF MALIGNANCY BY RADIOMICS: THE FUTURE IS NOW
MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor of the extremities
