Paras Lakhani
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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
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
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
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
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
PET: a revolution in medical imaging
A Alavi, P Lakhani, A Mavi, JW Kung, H Zhuang
Radiologic Clinics 42 (6), 983-1001, 2004
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
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
Automated detection of critical results in radiology reports
P Lakhani, W Kim, CP Langlotz
Journal of digital imaging 25, 30-36, 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
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
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
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
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
Radiology reporting and communications: a look forward
AE Flanders, P Lakhani
Neuroimaging Clinics 22 (3), 477-496, 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
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
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
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
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
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