2020 Publications

  • Barnholtz-Sloan JS, Rollison DE, Basu A, Borowsky AD, Bui AAT, DiGiovanna J, Garcia-Closas M, Genkinger JM, Gerke T, Induni M, Lacey JV Jr, Mirel L, Permuth JB, Saltz J, Shenkman EA, Ulrich CM, Zheng WJ, Nadaf S, Kibbe WA. Cancer Informatics for Cancer Centers (CI4CC): Building a community focused on sharing ideas and best practices to improve cancer care and patient outcomes. JCO Clin Cancer Inform. 2020 Feb;4:108-116. DOI: 10.1200/CCI.19.00166. PMID: 32078367.
  • Bui AAT, Hosseini A, Rocchio R, Jacobs N, Ross MK, Okelo S, Lurmann F, Eckel S, Dzubur E, Dunton G, Gilliland F, Sarrafzadeh M, Habre R. Biomedical REAl-Time Health Evaluation (BREATHE): toward an mHealth informatics platform. JAMIA Open. 2020 May 7;3(2):190-200. doi: 10.1093/jamiaopen/ooaa011. PMID: 32734159; PMCID: PMC7382637.
  • Garon, E, Cummings A*, Gukasyan J, Lu H, Grogan T, Sunga G, Fares C, Hornstein N, Zaretsky J, Carroll J, Bachrach B, Akingbemi W, Li D, Noor Z, Lisberg A, Goldman J, Elashoff D, Bui AAT, Ribas A, Dubinett S, Rossetti M. Mutational landscape influences immunotherapy outcomes among non-small cell lung cancer patients with human leukocyte antigen supertype B44. Nature Cancer, 1. 1167–1175 (2020). doi:10.1038/s43018-020-00140-1.
  • Li M, Hsu W, Xie X, Cong J, Gao W. SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising with Self-supervised Perceptual Loss Network. IEEE Trans Med Imaging. 2020 Jan 21. DOI: 10.1109/TMI.2020.2968472. Epub ahead of print. PMID: 31985412.
  • Lin Y, Wei L, Han SX, Aberle DR, Hsu W. EDICNet: An end-to-end detection and interpretable malignancy classification network for pulmonary nodules in computed tomography. Proc SPIE Int Soc Opt Eng. 2020 Feb;11314:113141H. DOI: 10.1117/12.2551220. Epub 2020 Mar 16. PMID: 32606487; PMCID: PMC7325481.
  • Lin Y, Wei L, Han SX, Aberle DR, Hsu W. EDICNet: An end-to-end detection and interpretable malignancy classification network for pulmonary nodules in computed tomography. Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 113141H. 16 March 2020. DOI: 10.1117/12.2551220.
  • Meng Y, Speier W, Ong M, Arnold CW. Multi-level embedding with topic modeling on electronic health records for predicting depression. Proc AAAI Health Intelligence Workshop. New York City, NY. February 7-12, 2020.
  • Smedley NF, El-Saden S, Hsu W. Discovering and interpreting transcriptomic drivers of imaging traits using neural networks. Bioinformatics. 2020 Feb 26:btaa126. DOI: 10.1093/bioinformatics/btaa126. Epub ahead of print. PMID: 32101278.
  • Wei L, Lin W, Hsu W. Using a generative adversarial network for CT normalization and its Impact on radiomic features. IEEE Intl Symp Biomedical Imaging. Iowa City, Iowa. Apr 3-7, 2020.
  • Zhang T, Chen M, Bui AAT. Diagnostic Prediction with Sequence-of-sets Representation Learning for Clinical Events. Artif Intell Med Conf Artif Intell Med (2005-). 2020 Aug;12299:348-358. doi: 10.1007/978-3-030-59137-3_31. Epub 2020 Sep 26. PMID: 34036298; PMCID: PMC8143801.