Pamela R. Jackson
Pamela R. Jackson
Verified email at mayo.edu
Title
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
1552005
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
942005
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
722015
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), 1-13, 2018
332018
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), 1-9, 2019
212019
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
102019
Multiparameter MRI Predictors of Long-Term Survival in Glioblastoma Multiforme
O Stringfield, JA Arrington, SK Johnston, NG Rognin, NC Peeri, ...
Tomography 5 (1), 135, 2019
102019
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
92018
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
72013
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
52020
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
42019
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 (2), 439-446, 2020
22020
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
22019
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
22019
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
22019
Simulating magnetic resonance images based on a model of tumor growth incorporating microenvironment
PR Jackson, A Hawkins-Daarud, SC Partridge, PE Kinahan, KR Swanson
Medical Imaging 2018: Image Perception, Observer Performance, and Technology …, 2018
22018
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
22017
ANGI-11. SEX DIFFERENCES IN IMAGING-BASED ASSESSMENT OF GLIOBLASTOMA INVASION
S Christine Massey, A Hawkins-Daarud, P Jackson, R Grove, K Bakken, ...
Neuro-Oncology 21 (Supplement_6), vi32-vi32, 2019
12019
TMOD-07. LOCALIZATION OF ERLOTONIB RELATIVE TO MRI-BASED TUMOR EXTENT IN PDX GLIOBLASTOMA MODEL: TOWARDS A MATHEMATICAL MODEL FOR THE INTERFACE BETWEEN MRI AND DRUG DISTRIBUTION
P Jackson, S Ranjbar, E Randall, M Regan, W Abdelmoula, B Lopez, ...
Neuro-Oncology 20 (suppl_6), vi269-vi270, 2018
12018
Nimg-68. Accurate Patient-specific Machine Learning Models Of Glioblastoma Invasion Using Transfer Learning
L Hu, H Yoon, J Eschbacher, L Baxter, K Smith, P Nakaji, S Mcgee, ...
Neuro-oncology 19 (suppl_6), vi157-vi158, 2017
12017
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