2022
NIMG-07. APPLYING A GLIOMA-TRAINED DEEP LEARNING AUTO-SEGMENTATION TOOL ON BM PRE- AND POST-RADIOSURGERY
Kaur M, Varghese S, Jekel L, Tillmanns N, Merkaj S, Bousabarah K, Lin M, Bhawnani J, Chiang V, Aboian M. NIMG-07. APPLYING A GLIOMA-TRAINED DEEP LEARNING AUTO-SEGMENTATION TOOL ON BM PRE- AND POST-RADIOSURGERY. Neuro-Oncology 2022, 24: vii162-vii163. PMCID: PMC9660643, DOI: 10.1093/neuonc/noac209.626.Peer-Reviewed Original ResearchStereotactic radiosurgeryPosttreatment lesionsBoard-certified neuroradiologistsRoutine clinical useWhole tumorTumor coreMulticentric lesionsTreatment responsePeritumoral edemaBM preLesionsClinical useVolumetric segmentationEdemaPatientsT2w FLAIRTherapy planningTumorsDedicated trainingLesion detectionBM dataVolumetric measurementsBMMRIPre
2013
Image quality improvements in C-Arm CT (CACT) for liver oncology applications: Preliminary study in rabbits
Tacher V, Bhagat N, Rao P, Lin M, SchÄfer D, Noordhoek N, Eshuis P, Radaelli A, Liapi E, Grass M, Geschwind J. Image quality improvements in C-Arm CT (CACT) for liver oncology applications: Preliminary study in rabbits. Minimally Invasive Therapy & Allied Technologies 2013, 22: 297-303. PMID: 23837536, PMCID: PMC3859124, DOI: 10.3109/13645706.2013.788028.Peer-Reviewed Original ResearchConceptsC-arm CTAdult male New Zealand white rabbitsMale New Zealand white rabbitsIntra-arterial therapyNon-target embolizationNew Zealand white rabbitsZealand white rabbitsFuture animal studiesLiver tumorsControl rabbitsNew imaging modalityOncology therapyAnimal studiesWhite rabbitsImaging protocolImaging modalitiesRabbitsSelective deliveryTherapyLesion detectionCTClinical environmentStudy improvementRespiratory motionPreliminary study