2023
Deep learning of image-derived measures of body composition in pediatric, adolescent, and young adult lymphoma: association with late treatment effects
Tram N, Chou T, Janse S, Bobbey A, Audino A, Onofrey J, Stacy M. Deep learning of image-derived measures of body composition in pediatric, adolescent, and young adult lymphoma: association with late treatment effects. European Radiology 2023, 33: 6599-6607. PMID: 36988714, DOI: 10.1007/s00330-023-09587-z.Peer-Reviewed Original ResearchConceptsProportional hazards regression analysisHazards regression analysisLate effectsBody composition measuresAYA patientsHigh riskBody compositionCox proportional hazards regression analysisTreatment-related late effectsComposition measuresCancer treatmentSerious adverse eventsLate treatment effectsYoung adult patientsSubcutaneous adipose tissueRegression analysisCare CT imagesSingle-site studyMuscle tissueAdult patientsAdverse eventsInitial stagingPediatric patientsAdult lymphomasPrognostic value
2018
Deep-learned placental vessel segmentation for intraoperative video enhancement in fetoscopic surgery
Sadda P, Imamoglu M, Dombrowski M, Papademetris X, Bahtiyar MO, Onofrey J. Deep-learned placental vessel segmentation for intraoperative video enhancement in fetoscopic surgery. International Journal Of Computer Assisted Radiology And Surgery 2018, 14: 227-235. PMID: 30484115, PMCID: PMC6438174, DOI: 10.1007/s11548-018-1886-4.Peer-Reviewed Original Research