Matthew Brown

Matthew Sherman Brown

Professor-in-Residence, Radiological Sciences, University of California Los Angeles



  1. Kang DH, Kim GHJ, Park SB, Lee SI, Koh JS, Brown MS, Abtin F, McNitt-Gray MF, Goldin JG, Lee JS. Quantitative Computed Tomography Lung COVID Scores with Laboratory Markers: Utilization to Predict Rapid Progression and Monitor Longitudinal Changes in Patients with Coronavirus 2019 (COVID-19) Pneumonia.. Biomedicines, 2024.
  2. Choi Y, Yu W, Nagarajan MB, Teng P, Goldin JG, Raman SS, Enzmann DR, Kim GHJ, Brown MS. Translating AI to Clinical Practice: Overcoming Data Shift with Explainability.. Radiographics : a review publication of the Radiological Society of North America, Inc, 2023.
  3. Wong KP, Homer SY, Wei SH, Yaghmai N, Estrada Paz OA, Young TJ, Buhr RG, Barjaktarevic I, Shrestha L, Daly M, Goldin J, Enzmann DR, Brown MS. Integration and evaluation of chest X-ray artificial intelligence in clinical practice.. Journal of medical imaging (Bellingham, Wash.), 2023.
  4. Choi Y, Wahi-Anwar MW, Brown MS. SimpleMind: An open-source software environment that adds thinking to deep neural networks.. PloS one, 2023.
  5. Yu W, Zhou H, Choi Y, Goldin JG, Teng P, Wong WK, McNitt-Gray MF, Brown MS, Kim GHJ. Multi-scale, domain knowledge-guided attention + random forest: a two-stage deep learning-based multi-scale guided attention models to diagnose idiopathic pulmonary fibrosis from computed tomography images.. Medical physics, 2022.
  6. Brown MS, Wong KP, Shrestha L, Wahi-Anwar M, Daly M, Foster G, Abtin F, Ruchalski KL, Goldin JG, Enzmann D. Automated Endotracheal Tube Placement Check Using Semantically Embedded Deep Neural Networks.. Academic radiology, 2022.
  7. Singh D, Wild JM, Saralaya D, Lawson R, Marshall H, Goldin J, Brown MS, Kostikas K, Belmore K, Fogel R, Patalano F, Drollmann A, Machineni S, Jones I, Yates D, Tillmann HC. Effect of indacaterol/glycopyrronium on ventilation and perfusion in COPD: a randomized trial.. Respiratory research, 2022.
  8. Ellingson BM, Brown MS, Boxerman JL, Gerstner ER, Kaufmann TJ, Cole PE, Bacha JA, Leung D, Barone A, Colman H, van den Bent MJ, Wen PY, Alfred Yung WK, Cloughesy TF, Goldin JG. Radiographic read paradigms and the roles of the central imaging laboratory in neuro-oncology clinical trials.. Neuro-oncology, 2021.
  9. Coy H, Young JR, Pantuck AJ, Douek ML, Sisk A, Magyar C, Brown MS, Sayre J, Raman SS. Association of tumor grade, enhancement on multiphasic CT and microvessel density in patients with clear cell renal cell carcinoma.. Abdominal radiology (New York), 2020.
  10. Wang X, Teng P, Ontiveros A, Goldin JG, Brown MS. High throughput image labeling on chest computed tomography by deep learning.. Journal of medical imaging (Bellingham, Wash.), 2020.
  11. Brown MS, Lo P, Goldin JG, Barnoy E, Kim GHJ, McNitt-Gray MF, Aberle DR. Correction to: Toward clinically usable CAD for lung cancer screening with computed tomography.. European radiology, 2020.
  12. Kim GHJ, Tashkin DP, Lo P, Brown MS, Volkmann ER, Gjertson DW, Khanna D, Elashoff RM, Tseng CH, Roth MD, Goldin JG. Using Transitional Changes on High-Resolution Computed Tomography to Monitor the Impact of Cyclophosphamide or Mycophenolate Mofetil on Systemic Sclerosis-Related Interstitial Lung Disease.. Arthritis & rheumatology (Hoboken, N.J.), 2019.
  13. Shi Y, Wong WK, Goldin JG, Brown MS, Kim GHJ. Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization - Random forest approach.. Artificial intelligence in medicine, 2019.
  14. Kim GHJ, Weigt SS, Belperio JA, Brown MS, Shi Y, Lai JH, Goldin JG. Prediction of idiopathic pulmonary fibrosis progression using early quantitative changes on CT imaging for a short term of clinical 18-24-month follow-ups.. European radiology, 2019.
  15. Coy H, Hsieh K, Wu W, Nagarajan MB, Young JR, Douek ML, Brown MS, Scalzo F, Raman SS. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.. Abdominal radiology (New York), 2019.
  16. Coy H, Young JR, Douek ML, Pantuck A, Brown MS, Sayre J, Raman SS. Association of qualitative and quantitative imaging features on multiphasic multidetector CT with tumor grade in clear cell renal cell carcinoma.. Abdominal radiology (New York), 2019.
  17. Nagarajan MB, Raman SS, Lo P, Lin WC, Khoshnoodi P, Sayre JW, Ramakrishna B, Ahuja P, Huang J, Margolis DJA, Lu DSK, Reiter RE, Goldin JG, Brown MS, Enzmann DR. Building a high-resolution T2-weighted MR-based probabilistic model of tumor occurrence in the prostate.. Abdominal radiology (New York), 2018.
  18. Brown M, Browning P, Wahi-Anwar MW, Murphy M, Delgado J, Greenspan H, Abtin F, Ghahremani S, Yaghmai N, da Costa I, Becker M, Goldin J. Integration of Chest CT CAD into the Clinical Workflow and Impact on Radiologist Efficiency.. Academic radiology, 2018.
  19. Brown MS, Kim GHJ, Chu GH, Ramakrishna B, Allen-Auerbach M, Fischer CP, Levine B, Gupta PK, Schiepers CW, Goldin JG. Quantitative bone scan lesion area as an early surrogate outcome measure indicative of overall survival in metastatic prostate cancer.. Journal of medical imaging (Bellingham, Wash.), 2018.
  20. Coy H, Young JR, Douek ML, Brown MS, Sayre J, Raman SS. Quantitative computer-aided diagnostic algorithm for automated detection of peak lesion attenuation in differentiating clear cell from papillary and chromophobe renal cell carcinoma, oncocytoma, and fat-poor angiomyolipoma on multiphasic multidetector computed tomography.. Abdominal radiology (New York), 2017.
  21. Kim HJ, Tashkin DP, Gjertson DW, Brown MS, Kleerup E, Chong S, Belperio JA, Roth MD, Abtin F, Elashoff R, Tseng CH, Khanna D, Goldin JG. Transitions to different patterns of interstitial lung disease in scleroderma with and without treatment.. Annals of the rheumatic diseases, 2016.
  22. Chong DY, Kim HJ, Lo P, Young S, McNitt-Gray MF, Abtin F, Goldin JG, Brown MS. Robustness-Driven Feature Selection in Classification of Fibrotic Interstitial Lung Disease Patterns in Computed Tomography Using 3D Texture Features.. IEEE transactions on medical imaging, 2015.
  23. Kim HJ, Brown MS, Chong D, Gjertson DW, Lu P, Kim HJ, Coy H, Goldin JG. Comparison of the quantitative CT imaging biomarkers of idiopathic pulmonary fibrosis at baseline and early change with an interval of 7 months.. Academic radiology, 2014.
  24. Kockelkorn TT, Schaefer-Prokop CM, Bozovic G, Muñoz-Barrutia A, van Rikxoort EM, Brown MS, de Jong PA, Viergever MA, van Ginneken B. Interactive lung segmentation in abnormal human and animal chest CT scans.. Medical physics, 2014.
  25. Brown MS, Lo P, Goldin JG, Barnoy E, Kim GH, McNitt-Gray MF, Aberle DR. Toward clinically usable CAD for lung cancer screening with computed tomography.. European radiology, 2014.
  26. Gompelmann D, Eberhardt R, Slebos DJ, Brown MS, Abtin F, Kim HJ, Holmes-Higgin D, Radhakrishnan S, Herth FJ, Goldin J. Diagnostic performance comparison of the Chartis System and high-resolution computerized tomography fissure analysis for planning endoscopic lung volume reduction.. Respirology (Carlton, Vic.), 2014.
  27. Huo J, Okada K, van Rikxoort EM, Kim HJ, Alger JR, Pope WB, Goldin JG, Brown MS. Ensemble segmentation for GBM brain tumors on MR images using confidence-based averaging.. Medical physics, 2013.
  28. Reyhan M, Kim HJ, Brown MS, Ennis DB. Intra- and interscan reproducibility using Fourier Analysis of STimulated Echoes (FAST) for the rapid and robust quantification of left ventricular twist.. Journal of magnetic resonance imaging : JMRI, 2013.
  29. Brown MS, Chu GH, Kim HJ, Allen-Auerbach M, Poon C, Bridges J, Vidovic A, Ramakrishna B, Ho J, Morris MJ, Larson SM, Scher HI, Goldin JG. Computer-aided quantitative bone scan assessment of prostate cancer treatment response.. Nuclear medicine communications, 2012.
  30. Brown MS, Kim HJ, Abtin FG, Strange C, Galperin-Aizenberg M, Pais R, Da Costa IG, Ordookhani A, Chong D, Ni C, McNitt-Gray MF, Tashkin DP, Goldin JG. Emphysema lung lobe volume reduction: effects on the ipsilateral and contralateral lobes.. European radiology, 2012.
  31. Chong D, Brown MS, Kim HJ, van Rikxoort EM, Guzman L, McNitt-Gray MF, Khatonabadi M, Galperin-Aizenberg M, Coy H, Yang K, Jung Y, Goldin JG. Reproducibility of volume and densitometric measures of emphysema on repeat computed tomography with an interval of 1 week.. European radiology, 2011.
  32. van Rikxoort EM, Goldin JG, Galperin-Aizenberg M, Abtin F, Kim HJ, Lu P, van Ginneken B, Shaw G, Brown MS. A method for the automatic quantification of the completeness of pulmonary fissures: evaluation in a database of subjects with severe emphysema.. European radiology, 2011.
  33. Kim HJ, Brown MS, Elashoff R, Li G, Gjertson DW, Lynch DA, Strollo DC, Kleerup E, Chong D, Shah SK, Ahmad S, Abtin F, Tashkin DP, Goldin JG. Quantitative texture-based assessment of one-year changes in fibrotic reticular patterns on HRCT in scleroderma lung disease treated with oral cyclophosphamide.. European radiology, 2011.
  34. Armato SG, McLennan G, Bidaut L, McNitt-Gray MF, Meyer CR, Reeves AP, Zhao B, Aberle DR, Henschke CI, Hoffman EA, Kazerooni EA, MacMahon H, Van Beeke EJ, Yankelevitz D, Biancardi AM, Bland PH, Brown MS, Engelmann RM, Laderach GE, Max D, Pais RC, Qing DP, Roberts RY, Smith AR, Starkey A, Batrah P, Caligiuri P, Farooqi A, Gladish GW, Jude CM, Munden RF, Petkovska I, Quint LE, Schwartz LH, Sundaram B, Dodd LE, Fenimore C, Gur D, Petrick N, Freymann J, Kirby J, Hughes B, Casteele AV, Gupte S, Sallamm M, Heath MD, Kuhn MH, Dharaiya E, Burns R, Fryd DS, Salganicoff M, Anand V, Shreter U, Vastagh S, Croft BY. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.. Medical physics, 2011.
  35. Brown MS, Kim HJ, Abtin F, Da Costa I, Pais R, Ahmad S, Angel E, Ni C, Kleerup EC, Gjertson DW, McNitt-Gray MF, Goldin JG. Reproducibility of lung and lobar volume measurements using computed tomography.. Academic radiology, 2009.
  36. Pope WB, Kim HJ, Huo J, Alger J, Brown MS, Gjertson D, Sai V, Young JR, Tekchandani L, Cloughesy T, Mischel PS, Lai A, Nghiemphu P, Rahmanuddin S, Goldin J. Recurrent glioblastoma multiforme: ADC histogram analysis predicts response to bevacizumab treatment.. Radiology, 2009.
  37. Cohen J, Chen Z, Lu SL, Yang XP, Arun P, Ehsanian R, Brown MS, Lu H, Yan B, Diallo O, Wang XJ, Van Waes C. Attenuated transforming growth factor beta signaling promotes nuclear factor-kappaB activation in head and neck cancer.. Cancer research, 2009.
  38. Prasad MN, Brown MS, Ahmad S, Abtin F, Allen J, da Costa I, Kim HJ, McNitt-Gray MF, Goldin JG. Automatic segmentation of lung parenchyma in the presence of diseases based on curvature of ribs.. Academic radiology, 2008.
  39. Kim HJ, Li G, Gjertson D, Elashoff R, Shah SK, Ochs R, Vasunilashorn F, Abtin F, Brown MS, Goldin JG. Classification of parenchymal abnormality in scleroderma lung using a novel approach to denoise images collected via a multicenter study.. Academic radiology, 2008.
  40. Prasad MN, Brown MS, Ni C, Margolis DJ, Douek M, Raman S, Lu D, Goldin J. Three-dimensional mapping of gallbladder wall thickness on computed tomography using Laplace's equation.. Academic radiology, 2008.
  41. Goldin JG, Brown MS, Petkovska I. Computer-aided diagnosis in lung nodule assessment.. Journal of thoracic imaging, 2008.
  42. McNitt-Gray MF, Armato SG, Meyer CR, Reeves AP, McLennan G, Pais RC, Freymann J, Brown MS, Engelmann RM, Bland PH, Laderach GE, Piker C, Guo J, Towfic Z, Qing DP, Yankelevitz DF, Aberle DR, van Beek EJ, MacMahon H, Kazerooni EA, Croft BY, Clarke LP. The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.. Academic radiology, 2007.
  43. Armato SG, McNitt-Gray MF, Reeves AP, Meyer CR, McLennan G, Aberle DR, Kazerooni EA, MacMahon H, van Beek EJ, Yankelevitz D, Hoffman EA, Henschke CI, Roberts RY, Brown MS, Engelmann RM, Pais RC, Piker CW, Qing D, Kocherginsky M, Croft BY, Clarke LP. The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans.. Academic radiology, 2007.
  44. Brown MS, Pais R, Qing P, Shah S, McNitt-Gray MF, Goldin JG, Petkovska I, Tran L, Aberle DR. An architecture for computer-aided detection and radiologic measurement of lung nodules in clinical trials.. Cancer informatics, 2007.
  45. Brown MS, McNitt-Gray MF, Pais R, Shah SK, Qing P, Da Costa I, Aberle DR, Goldin JG. CAD in clinical trials: current role and architectural requirements.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 2007.
  46. Petkovska I, Brown MS, Goldin JG, Kim HJ, McNitt-Gray MF, Abtin FG, Ghurabi RJ, Aberle DR. The effect of lung volume on nodule size on CT.. Academic radiology, 2007.
  47. Ochs RA, Goldin JG, Abtin F, Kim HJ, Brown K, Batra P, Roback D, McNitt-Gray MF, Brown MS. Automated classification of lung bronchovascular anatomy in CT using AdaBoost.. Medical image analysis, 2007.
  48. Petkovska I, Shah SK, McNitt-Gray MF, Goldin JG, Brown MS, Kim HJ, Brown K, Aberle DR. Pulmonary nodule characterization: a comparison of conventional with quantitative and visual semi-quantitative analyses using contrast enhancement maps.. European journal of radiology, 2006.
  49. Brown MS, Goldin JG, Rogers S, Kim HJ, Suh RD, McNitt-Gray MF, Shah SK, Truong D, Brown K, Sayre JW, Gjertson DW, Batra P, Aberle DR. Computer-aided lung nodule detection in CT: results of large-scale observer test.. Academic radiology, 2005.
  50. Shah SK, McNitt-Gray MF, De Zoysa KR, Sayre JW, Kim HJ, Batra P, Behrashi A, Brown K, Greaser LE, Park JM, Roback DK, Wu C, Zaragoza E, Goldin JG, Suh RD, Brown MS, Aberle DR. Solitary pulmonary nodule diagnosis on CT: results of an observer study.. Academic radiology, 2005.
  51. Brown MS, Shah SK, Pais RC, Lee YZ, McNitt-Gray MF, Goldin JG, Cardenas AF, Aberle DR. Database design and implementation for quantitative image analysis research.. IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society, 2005.
  52. Tran LN, Brown MS, Goldin JG, Yan X, Pais RC, McNitt-Gray MF, Gjertson D, Rogers SR, Aberle DR. Comparison of treatment response classifications between unidimensional, bidimensional, and volumetric measurements of metastatic lung lesions on chest computed tomography.. Academic radiology, 2004.
  53. Boedeker KL, McNitt-Gray MF, Rogers SR, Truong DA, Brown MS, Gjertson DW, Goldin JG. Emphysema: effect of reconstruction algorithm on CT imaging measures.. Radiology, 2004.
  54. Brown MS, Goldin JG, Suh RD, McNitt-Gray MF, Sayre JW, Aberle DR. Lung micronodules: automated method for detection at thin-section CT--initial experience.. Radiology, 2003.
  55. Boscolo R, Brown MS, McNitt-Gray MF. Medical image segmentation with knowledge-guided robust active contours.. Radiographics : a review publication of the Radiological Society of North America, Inc, 2002.