| Deep learning at chest radiography: automated classification of pulmonary tuberculosis by using convolutional neural networks P Lakhani, B Sundaram Radiology 284 (2), 574-582, 2017 | 1783 | 2017 |
| Machine learning in radiology: applications beyond image interpretation P Lakhani, AB Prater, RK Hutson, KP Andriole, KJ Dreyer, J Morey, ... Journal of the American College of Radiology 15 (2), 350-359, 2018 | 241 | 2018 |
| Hello world deep learning in medical imaging P Lakhani, DL Gray, CR Pett, P Nagy, G Shih Journal of digital imaging 31, 283-289, 2018 | 104 | 2018 |
| Deep convolutional neural networks for endotracheal tube position and X-ray image classification: challenges and opportunities P Lakhani Journal of digital imaging 30, 460-468, 2017 | 96 | 2017 |
| Fluorodeoxyglucose-PET in characterizing solitary pulmonary nodules, assessing pleural diseases, and the initial staging, restaging, therapy planning, and monitoring response … A Mavi, P Lakhani, H Zhuang, NC Gupta, A Alavi Radiologic Clinics 43 (1), 1-21, 2005 | 95 | 2005 |
| PET: a revolution in medical imaging A Alavi, P Lakhani, A Mavi, JW Kung, H Zhuang Radiologic Clinics 42 (6), 983-1001, 2004 | 87 | 2004 |
| Diagnostic performance of the visual reading of 123I-Ioflupane SPECT images with or without quantification in patients with movement disorders or dementia J Booij, J Dubroff, D Pryma, J Yu, R Agarwal, P Lakhani, PH Kuo Journal of nuclear medicine 58 (11), 1821-1826, 2017 | 60 | 2017 |
| Progressive hemifacial atrophy with scleroderma and ipsilateral limb wasting (Parry-Romberg syndrome) PK Lakhani, TJ David Journal of the Royal Society of Medicine 77 (2), 138-139, 1984 | 57 | 1984 |
| Automated detection of critical results in radiology reports P Lakhani, W Kim, CP Langlotz Journal of digital imaging 25, 30-36, 2012 | 53 | 2012 |
| Is android or iPhone the platform for innovation in imaging informatics G Shih, P Lakhani, P Nagy Journal of Digital Imaging 23, 2-7, 2010 | 51 | 2010 |
| 2-Deoxy-2-[F-18] fluoro-D-glucose-positron emission tomography in characterization of solid renal masses R Kumar, A Chauhan, P Lakhani, Y Xiu, H Zhuang, A Alavi Molecular Imaging and Biology 7, 431-439, 2005 | 51 | 2005 |
| Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset RW Filice, A Stein, CC Wu, VA Arteaga, S Borstelmann, R Gaddikeri, ... Journal of digital imaging 33, 490-496, 2020 | 50 | 2020 |
| Colorectal Cancer: Screening Double-Contrast Barium Enema Examination in Average-Risk Adults Older Than 50 Years1 JW Kung, MS Levine, SN Glick, P Lakhani, SE Rubesin, I Laufer Radiology 240 (3), 725-735, 2006 | 48 | 2006 |
| Radiology reporting and communications: a look forward AE Flanders, P Lakhani Neuroimaging Clinics 22 (3), 477-496, 2012 | 37 | 2012 |
| Performance of a severity score on admission chest radiograph in predicting clinical outcomes in hospitalized patients with coronavirus disease (COVID-19) RA Reeves, C Pomeranz, AA Gomella, A Gulati, B Metra, A Hage, ... American Journal of Roentgenology, 2020 | 36 | 2020 |
| Assessment of critical feeding tube malpositions on radiographs using deep learning V Singh, V Danda, R Gorniak, A Flanders, P Lakhani Journal of digital imaging 32, 651-655, 2019 | 36 | 2019 |
| Automated detection of radiology reports that document non-routine communication of critical or significant results P Lakhani, CP Langlotz Journal of digital imaging 23, 647-657, 2010 | 32 | 2010 |
| Age-related structural and functional changes in the breast: multimodality correlation with digital mammography, computed tomography, magnetic resonance imaging, and positron … RG Abramson, A Mavi, T Cermik, S Basu, NE Wehrli, M Houseni, S Mishra, ... Seminars in nuclear medicine 37 (3), 146-153, 2007 | 32 | 2007 |
| The 2021 SIIM-FISABIO-RSNA machine learning COVID-19 challenge: Annotation and standard exam classification of COVID-19 chest radiographs P Lakhani, J Mongan, C Singhal, Q Zhou, KP Andriole, WF Auffermann, ... Journal of Digital Imaging 36 (1), 365-372, 2023 | 30 | 2023 |
| Application of deep learning in neuroradiology: automated detection of basal ganglia hemorrhage using 2D-convolutional neural networks V Desai, AE Flanders, P Lakhani arXiv preprint arXiv:1710.03823, 2017 | 29 | 2017 |
