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Pamela R. Jackson
Pamela R. Jackson
Verified email at mayo.edu
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Cited by
Cited by
Year
Gadolinium-loaded liposomes allow for real-time magnetic resonance imaging of convection-enhanced delivery in the primate brain
R Saito, MT Krauze, JR Bringas, C Noble, TR McKnight, P Jackson, ...
Experimental neurology 196 (2), 381-389, 2005
1722005
Real-time visualization and characterization of liposomal delivery into the monkey brain by magnetic resonance imaging
MT Krauze, TR Mcknight, Y Yamashita, J Bringas, CO Noble, R Saito, ...
Brain research protocols 16 (1-3), 20-26, 2005
982005
Patient-Specific Mathematical Neuro-Oncology: Using a Simple Proliferation and Invasion Tumor Model to Inform Clinical Practice
PR Jackson, J Juliano, A Hawkins-Daarud, RC Rockne, KR Swanson
Bulletin of mathematical biology 77 (5), 846-856, 2015
972015
Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI
N Gaw, A Hawkins-Daarud, LS Hu, H Yoon, L Wang, Y Xu, PR Jackson, ...
Scientific reports 9 (1), 10063, 2019
822019
Integrated mapping of pharmacokinetics and pharmacodynamics in a patient-derived xenograft model of glioblastoma
EC Randall, KB Emdal, JK Laramy, M Kim, A Roos, D Calligaris, ...
Nature communications 9 (1), 4904, 2018
732018
Accurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer Learning
LS Hu, H Yoon, JM Eschbacher, LC Baxter, AC Dueck, A Nespodzany, ...
American Journal of Neuroradiology 40 (3), 418-425, 2019
362019
Multiparameter MRI predictors of long-term survival in glioblastoma multiforme
O Stringfield, JA Arrington, SK Johnston, NG Rognin, NC Peeri, ...
Tomography 5 (1), 135-144, 2019
322019
A deep convolutional neural network for annotation of magnetic resonance imaging sequence type
S Ranjbar, KW Singleton, PR Jackson, CR Rickertsen, SA Whitmire, ...
Journal of digital imaging 33, 439-446, 2020
252020
Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation
EA Stahlberg, M Abdel-Rahman, B Aguilar, A Asadpoure, RA Beckman, ...
Frontiers in Digital Health 4, 1007784, 2022
222022
Uncertainty quantification in the radiogenomics modeling of EGFR amplification in glioblastoma
LS Hu, L Wang, A Hawkins-Daarud, JM Eschbacher, KW Singleton, ...
Scientific reports 11 (1), 3932, 2021
212021
A Mathematical Model of Breast Tumor Progression Based on Immune Infiltration
N Mohammad Mirzaei, S Su, D Sofia, M Hegarty, MH Abdel-Rahman, ...
Journal of Personalized Medicine 11 (10), 1031, 2021
182021
Distinct Phenotypic Clusters of Glioblastoma Growth and Response Kinetics Predict Survival
CA Rayfield, F Grady, G De Leon, R Rockne, E Carrasco, P Jackson, ...
JCO Clinical Cancer Informatics 2, 1-14, 2018
172018
Improved model prediction of glioma growth utilizing tissue-specific boundary effects
J Jacobs, RC Rockne, AJ Hawkins-Daarud, PR Jackson, SK Johnston, ...
Mathematical biosciences 312, 59-66, 2019
122019
Image-based metric of invasiveness predicts response to adjuvant temozolomide for primary glioblastoma
SC Massey, H White, P Whitmire, T Doyle, SK Johnston, KW Singleton, ...
PloS one 15 (3), e0230492, 2020
102020
A digital reference object for the 3D Hoffman brain phantom for characterization of PET neuroimaging quality
RL Harrison, BF Elston, DW Byrd, AM Alessio, J Jacobs, RC Rockne, ...
2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS …, 2013
92013
ENvironmental Dynamics Underlying Responsive Extreme Survivors (ENDURES) of Glioblastoma: a Multi-disciplinary Team-based, Multifactorial Analytical Approach
SK Johnston, P Whitmire, SC Massey, P Kumthekar, AB Porter, ...
American journal of clinical oncology 42 (8), 655, 2019
42019
SCIDOT-16. T2-WEIGHTED IMAGING MAY BE INDICATIVE OF DRUG DISTRIBUTION IN GLIOBLASTOMA PATIENTS
P Jackson, M Kim, A Hawkins-Daarud, K Singleton, A Mohammad, ...
Neuro-oncology 21 (Suppl 6), vi274, 2019
32019
SCIDOT-16. T2-WEIGHTED IMAGING MAY BE INDICATIVE OF DRUG DISTRIBUTION IN GLIOBLASTOMA PATIENTS
P Jackson, M Kim, A Hawkins-Daarud, K Singleton, A Mohammad, ...
Neuro-oncology 21 (Suppl 6), vi274, 2019
32019
Sex differences in predicting fluid intelligence of adolescent brain from T1-weighted MRIs
S Ranjbar, KW Singleton, L Curtin, SC Massey, A Hawkins-Daarud, ...
Adolescent Brain Cognitive Development Neurocognitive Prediction: First …, 2019
32019
Nimg-74. Radiomics Of Tumor Invasion 2.0: Combining Mechanistic Tumor Invasion Models With Machine Learning Models To Accurately Predict Tumor Invasion In Human Glioblastoma …
KR Swanson, N Gaw, A Hawkins-Daarud, PR Jackson, KW Singleton, ...
Neuro-oncology 19 (Suppl 6), vi159, 2017
32017
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