Analyzing T cell repertoire diversity by high-throughput sequencing. - Boris Grinshpun; Jennifer Sims; Peter D. Canoll; Jeffrey N. Bruce; Peter Sims; Yufeng Shen (GlobalSIP, 2013)

Substituting Gadolinium in Brain MRI Using DeepContrast. - Haoran Sun; Xueqing Liu 002; Xinyang Feng; Chen Liu 020; Nanyan Zhu; Sabrina J. Gjerswold-Selleck; Hong-Jian Wei; Pavan S. Upadhyayula; Angeliki Mela; Cheng-Chia Wu; Peter D. Canoll; Andrew F. Laine; et al. (ISBI, 2020)

From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment response. - Jill Gallaher; Susan Christine Massey; Andrea Hawkins-Daarud; Sonal S. Noticewala; Russell C. Rockne; Sandra K. Johnston; Luis Gonzalez-Cuyar; Joseph Juliano; Orlando Gil; Kristin R. Swanson; Peter D. Canoll; Alexander R. A. Anderson (PLoS Comput. Biol., 2020)

Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma. - Hairong Wang; Michael G. Argenziano; Hyunsoo Yoon; Deborah Boyett; Akshay Save; Petros Petridis; William Savage; Pamela R. Jackson; Andrea Hawkins-Daarud; Nhan L. Tran; Leland S. Hu; Kyle W. Singleton; et al. (npj Digit. Medicine, 2024)

Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A Review. - Lingchao Mao; Hairong Wang; Leland S. Hu; Nhan L. Tran; Peter D. Canoll; Kristin R. Swanson; Jing Li 016 (IEEE Trans Autom. Sci. Eng., 2025)