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Nathaniel Swinburne - Publications

Affiliations: 
Radiology Memorial Sloan Kettering Cancer Center, Rockville Centre, NY, United States 
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7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Hsu DG, Ballangrud Å, Prezelski K, Swinburne NC, Young R, Beal K, Deasy JO, Cerviño L, Aristophanous M. Automatically tracking brain metastases after stereotactic radiosurgery. Physics and Imaging in Radiation Oncology. 27: 100452. PMID 37720463 DOI: 10.1016/j.phro.2023.100452  0.368
2023 Santilli A, Panyam P, Autz A, Wray R, Philip J, Elnajjar P, Swinburne N, Mayerhoefer M. Automated full body tumor segmentation in DOTATATE PET/CT for neuroendocrine cancer patients. International Journal of Computer Assisted Radiology and Surgery. PMID 37306856 DOI: 10.1007/s11548-023-02968-1  0.365
2023 Swinburne NC, Yadav V, Murthy KNK, Elnajjar P, Shih HH, Panyam PK, Santilli A, Gutman DC, Pike L, Moss NS, Stone J, Hatzoglou V, Shah A, Juluru K, Shah SP, et al. Fast, light, and scalable: harnessing data-mined line annotations for automated tumor segmentation on brain MRI. European Radiology. PMID 37042979 DOI: 10.1007/s00330-023-09583-3  0.389
2022 Huang Y, Moreno R, Malani R, Meng A, Swinburne N, Holodny AI, Choi Y, Rusinek H, Golomb JB, George A, Parra LC, Young RJ. Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment. Journal of Digital Imaging. PMID 35581409 DOI: 10.1007/s10278-022-00654-3  0.411
2022 Swinburne NC, Yadav V, Kim J, Choi YR, Gutman DC, Yang JT, Moss N, Stone J, Tisnado J, Hatzoglou V, Haque SS, Karimi S, Lyo J, Juluru K, Pichotta K, et al. Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations. Radiology. 210817. PMID 35040676 DOI: 10.1148/radiol.210817  0.394
2019 Swinburne NC, Schefflein J, Sakai Y, Oermann EK, Titano JJ, Chen I, Tadayon S, Aggarwal A, Doshi A, Nael K. Machine learning for semi-automated classification of glioblastoma, brain metastasis and central nervous system lymphoma using magnetic resonance advanced imaging. Annals of Translational Medicine. 7: 232. PMID 31317002 DOI: 10.21037/atm.2018.08.05  0.322
2019 Swinburne NC, Mendelson D, Rubin DL. Advancing Semantic Interoperability of Image Annotations: Automated Conversion of Non-standard Image Annotations in a Commercial PACS to the Annotation and Image Markup. Journal of Digital Imaging. PMID 30805778 DOI: 10.1007/s10278-019-00191-6  0.309
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