Featured Publications
Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology
Joel MZ, Umrao S, Chang E, Choi R, Yang DX, Duncan JS, Omuro A, Herbst R, Krumholz HM, Aneja S. Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology. JCO Clinical Cancer Informatics 2022, 6: e2100170. PMID: 35271304, PMCID: PMC8932490, DOI: 10.1200/cci.21.00170.Peer-Reviewed Original Research
2023
PACS-Integrated Tools for Peritumoral Edema Volumetrics Provide Additional Information to RANO-BM-Based Assessment of Lung Cancer Brain Metastases after Stereotactic Radiotherapy: A Pilot Study
Kaur M, Petersen G, Jekel L, von Reppert M, Varghese S, de Oliveira Santo I, Avesta A, Aneja S, Omuro A, Chiang V, Aboian M. PACS-Integrated Tools for Peritumoral Edema Volumetrics Provide Additional Information to RANO-BM-Based Assessment of Lung Cancer Brain Metastases after Stereotactic Radiotherapy: A Pilot Study. Cancers 2023, 15: 4822. PMID: 37835516, PMCID: PMC10571649, DOI: 10.3390/cancers15194822.Peer-Reviewed Original ResearchPost-SRTStereotactic radiotherapyLung cancer brain metastasesCancer brain metastasesPost-contrast T1-weighted imagesSignificant clinical symptomsContrast-enhancing tumorT1-weighted imagesCritical additional informationEdema changesBrain metastasesClinical symptomsCare treatmentHyperintense volumeEdema assessmentLesion changesLesion sizeEdemaDifferent timepointsPilot studyRadiotherapyLesionsVolumetric changesAdditional informationMETS