Publications by authors named "Jerrold L Boxerman"

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AI Model Integrating Imaging and Clinical Data for Predicting CSF Diversion in Neonatal Hydrocephalus: A Preliminary Study.
Yuwei Dai, Zhusi Zhong, Yan Qin, Yuli Wang, Guangdi Yu, Jerrold L Boxerman

Hum Brain Mapp· October 2025

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Neuroimaging Markers of Brain Reserve and Associations with Delirium in Patients with Intracerebral Hemorrhage.
Nathaniel B Rex, Carlin C Chuck, Hari G Dandapani, Helen Y Zhou, Thomas Y Yi, Jerrold L Boxerman

Neurocrit Care· June 2025

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IGV-001 cellular immunotherapy for newly diagnosed glioblastoma: overcoming the logistic challenge.
Eric T Wong, Deus Cielo, Konstantina Svokos, Curt Doberstein, Prakash Sampath, Jerrold L Boxerman

Front Oncol· March 2025

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Imaging Intravoxel Vessel Size Distribution in the Brain Using Susceptibility Contrast Enhanced MRI.
Natenael B Semmineh, Indranil Guha, Deborah Healey, Anagha Chandrasekharan, C Chad Quarles, Jerrold L Boxerman

ArXiv· March 2025

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"Synthetic" DSC Perfusion MRI with Adjustable Acquisition Parameters in Brain Tumors Using Dynamic Spin-and-Gradient-Echo Echoplanar Imaging.
Francesco Sanvito, Jingwen Yao, Nicholas S Cho, Catalina Raymond, Donatello Telesca, Jerrold L Boxerman

AJNR Am J Neuroradiol· February 2025

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Reply.
Benjamin M Ellingson, Francesco Sanvito, Whitney B Pope, Timothy F Cloughesy, Raymond Y Huang, Jerrold L Boxerman

AJNR Am J Neuroradiol· January 2025

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A Neuroradiologist's Guide to Operationalizing the Response Assessment in Neuro-Oncology (RANO) Criteria Version 2.0 for Gliomas in Adults.
Benjamin M Ellingson, Francesco Sanvito, Timothy F Cloughesy, Raymond Y Huang, Javier E Villanueva-Meyer, Jerrold L Boxerman

AJNR Am J Neuroradiol· December 2024

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Neuro-oncology application of next-generation, optically tracked robotic stereotaxis with intraoperative computed tomography: a pilot experience.
Carlin Chuck, Rohaid Ali, Christine K Lee, Athar N Malik, Konstantina A Svokos, Jerrold L Boxerman

Neurosurg Focus· December 2024

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The QIBA Profile for Dynamic Susceptibility Contrast MRI Quantitative Imaging Biomarkers for Assessing Gliomas.
Mark S Shiroishi, Bradley J Erickson, Leland S Hu, Daniel P Barboriak, Lino Becerra, Jerrold L Boxerman

Radiology· December 2024

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Identification of a Single-Dose, Low-Flip-Angle-Based CBV Threshold for Fractional Tumor Burden Mapping in Recurrent Glioblastoma.
Aliya Anil, Ashley M Stokes, John P Karis, Laura C Bell, Jennifer Eschbacher, Jerrold L Boxerman

AJNR Am J Neuroradiol· October 2024

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MRI-Based Prediction of Clinical Improvement after Ventricular Shunt Placement for Normal Pressure Hydrocephalus: Development and Evaluation of an Integrated Multisequence Machine Learning Algorithm.
Owen P Leary, Zhusi Zhong, Lulu Bi, Zhicheng Jiao, Yu-Wei Dai, Jerrold L Boxerman

AJNR Am J Neuroradiol· October 2024

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An adolescent girl with syndrome of inappropriate antidiuretic hormone secretion preceding the diagnosis of olfactory neuroblastoma - a case report.
Sabitha Sasidharan Pillai, Jerrold L Boxerman, Jan C Groblewski, Bradley D DeNardo, Mohammed K Faizan

Front Endocrinol (Lausanne)· October 2024

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Tumor-Associated Tractography Derived from High-Angular-Resolution Q-Space MRI May Predict Patterns of Cellular Invasion in Glioblastoma.
Owen P Leary, John P Zepecki, Mattia Pizzagalli, Steven A Toms, David D Liu, Jerrold L Boxerman

Cancers (Basel)· October 2024

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A cross-sectional study to test equivalence of low- versus intermediate-flip angle dynamic susceptibility contrast MRI measures of relative cerebral blood volume in patients with high-grade gliomas at 1.5 Tesla field strength.
Mark S Shiroishi, Dane Weinert, Steven Y Cen, Bino Varghese, Timothy Dondlinger, Jerrold L Boxerman

Front Oncol· September 2023

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Early post-bevacizumab change in rCBV from DSC-MRI identifies pseudoresponse in recurrent glioblastoma: Results from ACRIN 6677/RTOG 0625.
Jerrold L Boxerman, Bradley S Snyder, Daniel P Barboriak, Kathleen M Schmainda

Front Oncol· January 2023

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Advanced MRI Protocols to Discriminate Glioma From Treatment Effects: State of the Art and Future Directions.
Dania G Malik, Tanya J Rath, Javier C Urcuyo Acevedo, Peter D Canoll, Kristin R Swanson, Jerrold L Boxerman

Front Radiol· April 2022

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Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors.
Jian Peng, Daniel D Kim, Jay B Patel, Xiaowei Zeng, Jiaer Huang, Jerrold L Boxerman

Neuro Oncol· February 2022

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Septopreoptic Holoprosencephaly in an Adolescent Presenting with Hypodipsia and Hypernatremia.
Sabitha Sasidharan Pillai, Jerrold L Boxerman, Lisa Swartz Topor

J Pediatr· January 2022

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Corrigendum to: Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors.
Jian Peng, Daniel D Kim, Jay B Patel, Xiaowei Zeng, Jiaer Huang, Jerrold L Boxerman

Neuro Oncol· December 2021

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Consensus recommendations for MRI and PET imaging of primary central nervous system lymphoma: guideline statement from the International Primary CNS Lymphoma Collaborative Group (IPCG).
Ramon F Barajas, Letterio S Politi, Nicoletta Anzalone, Heiko Schöder, Christopher P Fox, Jerrold L Boxerman

Neuro Oncol· July 2021

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The relationship between cerebral and retinal microbleeds in cerebral amyloid angiopathy (CAA): A pilot study.
Jessica Alber, Edmund Arthur, Danielle Goldfarb, Jonathan Drake, Jerrold L Boxerman

J Neurol Sci· April 2021

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Radiographic read paradigms and the roles of the central imaging laboratory in neuro-oncology clinical trials.
Benjamin M Ellingson, Matthew S Brown, Jerrold L Boxerman, Elizabeth R Gerstner, Timothy J Kaufmann

Neuro Oncol· February 2021

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Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach.
William Lotter, Abdul Rahman Diab, Bryan Haslam, Jiye G Kim, Giorgia Grisot, Jerrold L Boxerman

Nat Med· February 2021

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Detecting Large Vessel Occlusion at Multiphase CT Angiography by Using a Deep Convolutional Neural Network.
Matthew T Stib, Justin Vasquez, Mary P Dong, Yun Ho Kim, Sumera S Subzwari, Jerrold L Boxerman

Radiology· December 2020

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Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data.
Joseph Ross Mitchell, Konstantinos Kamnitsas, Kyle W Singleton, Scott A Whitmire, Kamala R Clark-Swanson, Jerrold L Boxerman

J Med Imaging (Bellingham)· September 2020

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