Selected Publications

  • Hou R, Mazurowski MA, Grimm LJ, Marks JR, King LM, Maley CC, Hwang ES, Lo JY. Prediction of Upstaged Ductal Carcinoma in situ Using Forced Labeling and Domain Adaptation. IEEE Trans Biomed Eng, 2020. Abstract
  • Grimm LJ, Neely B, Hou R, Selvakumaran V, Baker JA, Yoon SC, Ghate SV, Walsh R, Litton TP, Devalapalli A, Kim C, Soo MS, Hyslop T, Hwang ES and Lo JY. Mixed-methods study to predict upstaging of DCIS to invasive disease on mammography. American Journal of Roentgenology, 2021. Abstract
  • Georgian-Smith D, Obuchowski NA, Lo JY, Brem RF, Baker JA, Fisher PR, Rim A, Zhao W, Fajardo LL, Mertelmeier T. Can Digital Breast Tomosynthesis Replace Full-Field Digital Mammography? A Multireader, Multicase Study of Wide-Angle Tomosynthesis. AJR American Journal of Roentgenology, 2019. Abstract
  • Jesneck JL, Mukherjee S, Yurkovetsky Z, Clyde M, Marks JR, Lokshin AE, Lo JY. Do serum biomarkers really measure breast cancer? BMC Cancer, 2009. Abstract

  • Tushar FI, D'Anniballe VM, Hou R, Mazurowski MA, Fu W, Samei E, Rubin GD, Lo JY. Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans. arXiv:2008.01158 [cs.CV], 2020. Abstract
  • Draelos RL, Dov D, Mazurowski MA, Lo JY, Henao R, Rubin GD, Carin L. Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. Medical Image Analysis, 2021. Abstract
  • Ren Y, Zhu Z, Li Y, Kong D, Hou R, Grimm LJ, Mazurowski MA, Marks JR and Lo JY. Mask embedding for realistic high-resolution medical image synthesis. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019. Abstract
  • Shi B, Grimm LJ, Mazurowski MA, Baker JA, Marks JR, King LM, Maley CC, Hwang ES, Lo JY. Prediction of occult invasive disease in ductal carcinoma in situ using deep learning features. Journal of American College of Radiology, 2018. Abstract

  • Abadi E, Segars WP, Tsui BMW, Kinahan PE, Bottenus N, Frangi AF, Maidment A, Lo JY, Samei E. Virtual clinical trials in medical imaging: a review. J Med Imaging, 2020. Abstract
  • Fu W, Sharma S, Abadi E, Illipoulos A, Wang Q, Sun X, Lo JY, Segars WP, Samei E. iPhantom: A framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry. IEEE Journal of Biomedical and Health Informatics, 2021. Abstract
  • Rossman AH, Catenacci M, Zhao C, Sikaria D, Knudsen JE, Dawes D, Gehm ME, Samei E, Wiley BJ, Lo JY. Three-dimensionally-printed anthropomorphic physical phantom for mammography and digital breast tomosynthesis with custom materials, lesions, and uniform quality control region. J Med Imaging, 2019. Abstract
  • Sturgeon GM, Park S, Segars WP, Lo JY. Synthetic breast phantoms from patient based eigenbreasts. Medical Physics 2017. Abstract
  • Erickson DW, Wells JR, Sturgeon GM, Samei E, Dobbins JT 3rd, Segars WP, Lo JY. Population of 224 realistic human subject-based computational breast phantoms. Medical Physics 2016. Abstract

Google Scholar

“I have published over 100 peer-reviewed papers and over 100 conference proceedings papers, half of which have been cited at least 10 times. My Google Scholars h-index is 47 and our work has been cited over 7,200 times.”