| Automated deep-neural-network surveillance of cranial images for acute neurologic events JJ Titano, M Badgeley, J Schefflein, M Pain, A Su, M Cai, N Swinburne, ... Nature medicine 24 (9), 1337-1341, 2018 | 415 | 2018 |
| A technical guide describing the use of transradial access technique for endovascular interventions AM Fischman, NC Swinburne, RS Patel Techniques in Vascular and Interventional Radiology 18 (2), 58-65, 2015 | 83 | 2015 |
| Updates on uterine artery embolization MP Kohi, JB Spies Seminars in Interventional Radiology 35 (01), 048-055, 2018 | 72 | 2018 |
| Machine learning for semiautomated classification of glioblastoma, brain metastasis and central nervous system lymphoma using magnetic resonance advanced imaging NC Swinburne, J Schefflein, Y Sakai, EK Oermann, JJ Titano, I Chen, ... Annals of translational medicine 7 (11), 2019 | 62 | 2019 |
| Integrating eye tracking and speech recognition accurately annotates MR brain images for deep learning: proof of principle JN Stember, H Celik, D Gutman, N Swinburne, R Young, ... Radiology: Artificial Intelligence 3 (1), e200047, 2020 | 35 | 2020 |
| Radioembolization for unresectable intrahepatic cholangiocarcinoma: review of safety, response evaluation criteria in solid tumors 1.1 imaging response and survival NC Swinburne, DM Biederman, C Besa, NE Tabori, AM Fischman, ... Cancer biotherapy & radiopharmaceuticals 32 (5), 161-168, 2017 | 26 | 2017 |
| Neuroimaging in central nervous system infections NC Swinburne, AG Bansal, A Aggarwal, AH Doshi Current neurology and neuroscience reports 17, 1-14, 2017 | 20 | 2017 |
| Diffusion and perfusion MRI predicts response preceding and shortly after radiosurgery to brain metastases: a pilot study AD Shah, A Shridhar Konar, R Paudyal, JH Oh, E LoCastro, DA Nuñez, ... Journal of Neuroimaging 31 (2), 317-323, 2021 | 15 | 2021 |
| Computational modeling of interstitial fluid pressure and velocity in non-small cell lung cancer brain metastases treated with stereotactic radiosurgery N Swinburne, E LoCastro, R Paudyal, JH Oh, NK Taunk, A Shah, K Beal, ... Frontiers in neurology 11, 402, 2020 | 13 | 2020 |
| Semisupervised training of a brain MRI tumor detection model using mined annotations NC Swinburne, V Yadav, J Kim, YR Choi, DC Gutman, JT Yang, N Moss, ... Radiology 303 (1), 80-89, 2022 | 9 | 2022 |
| Sequential apparent diffusion coefficient for assessment of tumor progression in patients with low-grade glioma IE Chen, N Swinburne, NM Tsankova, MM Hefti, A Aggarwal, AH Doshi, ... American Journal of Neuroradiology 39 (6), 1039-1046, 2018 | 9 | 2018 |
| Advancing semantic interoperability of image annotations: automated conversion of non-standard image annotations in a commercial PACS to the annotation and image markup NC Swinburne, D Mendelson, DL Rubin Journal of Digital Imaging 33 (1), 49-53, 2020 | 6 | 2020 |
| Automatically tracking brain metastases after stereotactic radiosurgery DG Hsu, Å Ballangrud, K Prezelski, NC Swinburne, R Young, K Beal, ... Physics and Imaging in Radiation Oncology 27, 100452, 2023 | 4 | 2023 |
| Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment Y Huang, R Moreno, R Malani, A Meng, N Swinburne, AI Holodny, Y Choi, ... Journal of Digital Imaging 35 (6), 1662-1672, 2022 | 4 | 2022 |
| Virtual and augmented reality in interventional radiology: current applications, challenges, and future directions A Elsakka, BJ Park, B Marinelli, NC Swinburne, J Schefflein Techniques in Vascular and Interventional Radiology 26 (3), 100919, 2023 | 3 | 2023 |
| Neurological diseases N Swinburne, A Holodny Artificial Intelligence in Medical Imaging: Opportunities, Applications and …, 2019 | 3 | 2019 |
| Automated full body tumor segmentation in DOTATATE PET/CT for neuroendocrine cancer patients A Santilli, P Panyam, A Autz, R Wray, J Philip, P Elnajjar, N Swinburne, ... International Journal of Computer Assisted Radiology and Surgery 18 (11 …, 2023 | 2 | 2023 |
| Extraction and classification of structured data from unstructured hepatobiliary pathology reports using large language models: a feasibility study compared with rules-based … R Geevarghese, C Sigel, J Cadley, S Chatterjee, P Jain, A Hollingsworth, ... Journal of Clinical Pathology, 2024 | | 2024 |
| When the Student Becomes the Master: Boosting Intracranial Hemorrhage Detection Generalizability with Teacher-Student Learning N Swinburne Radiology: Artificial Intelligence 6 (3), e240126, 2024 | | 2024 |
| Fast, light, and scalable: harnessing data-mined line annotations for automated tumor segmentation on brain MRI NC Swinburne, V Yadav, KNK Murthy, P Elnajjar, HH Shih, PK Panyam, ... European radiology 33 (9), 6582-6591, 2023 | | 2023 |
