Peter D. Canoll

According to our database, Peter D. Canoll authored at least 5 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Lisa E. Paulson, Osama Al Dalahmah, Jeffrey N. Bruce, Jack Grinband, Kristin R. Swanson, Peter D. Canoll, Jing Li

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

CoRR, 2024

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

Substituting Gadolinium in Brain MRI Using DeepContrast.

Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina J. Gjerswold-Selleck, Hong-Jian Wei, Pavan S. Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter D. Canoll, Andrew F. Laine, J. Thomas Vaughan, Scott A. Small, Jia Guo

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2013

Analyzing T cell repertoire diversity by high-throughput sequencing.

Boris Grinshpun, Jennifer Sims, Peter D. Canoll, Jeffrey N. Bruce, Peter Sims, Yufeng Shen

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013