J. Boxerman

发表

The intravascular contribution to fmri signal change: monte carlo modeling and diffusion‐weighted studies in vivo

J. R. Baker, T. L. Davis, B. Rosen, 1995, Magnetic resonance in medicine.

Segmented K-space cine breath-hold cardiovascular MR imaging: Part 1. Principles and technique.

E R McVeigh, E Atalar, J L Boxerman, 1997, AJR. American journal of roentgenology.

Segmented K-space cine breath-hold cardiovascular MR imaging: Part 2. Evaluation of aortic vasculopathy.

J L Boxerman, D A Bluemke, T. Mosher, 1997, AJR. American journal of roentgenology.

Response Assessment and Magnetic Resonance Imaging Issues for Clinical Trials Involving High-Grade Gliomas

Benjamin M Ellingson, Jerrold L Boxerman, J. Boxerman, 2015, Topics in magnetic resonance imaging : TMRI.

Pitfalls in MR measurement of tissue blood flow with intravascular tracers: Which mean transit time?

B. Rosen, R. Weisskoff, J. Boxerman, 1993, Magnetic resonance in medicine.

Preoperative MRI evaluation of pituitary macroadenoma: imaging features predictive of successful transsphenoidal surgery.

J. Boxerman, M. Goldman, J. Machan, 2010, AJR. American journal of roentgenology.

Microscopic susceptibility variation and transverse relaxation: Theory and experiment

B. Rosen, R. Weisskoff, J. Boxerman, 1994, Magnetic resonance in medicine.

Signal‐to‐noise analysis of cerebral blood volume maps from dynamic NMR imaging studies

B. Rosen, R. Weisskoff, J. Boxerman, 1997, Journal of magnetic resonance imaging : JMRI.

Physiologic MRI for assessment of response to therapy and prognosis in glioblastoma.

J. Boxerman, W. Pope, M. Shiroishi, 2016, Neuro-oncology.

Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases (BTIP-BM).

Raymond Y Huang, P. Brown, P. Wen, 2020, Neuro-oncology.

Relative cerebral blood volume maps corrected for contrast agent extravasation significantly correlate with glioma tumor grade, whereas uncorrected maps do not.

R M Weisskoff, J L Boxerman, R. Weisskoff, 2006, AJNR. American journal of neuroradiology.

Interreader Variability of Dynamic Contrast-enhanced MRI of Recurrent Glioblastoma: The Multicenter ACRIN 6677/RTOG 0625 Study.

M. Gilbert, J. Boxerman, R. McKinstry, 2019, Radiology.

In vivo measurement of T*2 and field inhomogeneity maps in the human heart at 1.5 T

E R McVeigh, A Z Faranesh, S B Reeder, 1998, Magnetic resonance in medicine.

The relationship between cerebral and retinal microbleeds in cerebral amyloid angiopathy (CAA): A pilot study

P. Snyder, J. Boxerman, B. Ott, 2021, Journal of the Neurological Sciences.

Advanced Physiologic Imaging: Perfusion – Theory and Applications

J. Boxerman, P. Kickingereder, J. E. Park, 2019, Glioma Imaging.

Techniques for Evalua- tion of the Heart and Great Vessels1

E. McVeigh, E. Atalar, J. Boxerman, 1998 .

Magnetic resonance spectroscopy as an early indicator of response to anti-angiogenic therapy in patients with recurrent glioblastoma: RTOG 0625/ACRIN 6677.

M. Gilbert, A. Sorensen, J. Boxerman, 2013, Neuro-oncology.

Diffusion MRI quality control and functional diffusion map results in ACRIN 6677/RTOG 0625: A multicenter, randomized, phase II trial of bevacizumab and chemotherapy in recurrent glioblastoma

M. Gilbert, A. Sorensen, J. Boxerman, 2015, International journal of oncology.

Response to Letter to Editor.

Raymond Y Huang, P. Brown, P. Wen, 2020, Neuro-oncology.

Improved Leakage Correction for Single-Echo Dynamic Susceptibility Contrast Perfusion MRI Estimates of Relative Cerebral Blood Volume in High-Grade Gliomas by Accounting for Bidirectional Contrast Agent Exchange

J L Boxerman, J. Boxerman, T. Cloughesy, 2016, American Journal of Neuroradiology.

Consensus Recommendations for a Dynamic Susceptibility Contrast MRI Protocol for Use in High-Grade Gliomas.

Leland S. Hu, Susan M. Chang, B. Rosen, 2020, Neuro-oncology.

Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging

J. Boxerman, H. Bai, B. Xiao, 2020, American Journal of Neuroradiology.

Nontraumatic osteonecrosis: MR perfusion imaging evaluation in an experimental model.

D. Bluemke, J. Boxerman, S. Kawamoto, 2000, Academic radiology.

In Vivo Measurement of and Field Inhomogeneity Maps in the Human Heart at 1.5 T

E. McVeigh, J. Boxerman, S. Reeder, 2008 .

Myelin water fraction changes in febrile seizures

J. Boxerman, S. Deoni, G. Cosgrove, 2018, Clinical Neurology and Neurosurgery.

Value of Dynamic Contrast Perfusion MRI to Predict Early Response to Bevacizumab in Newly Diagnosed Glioblastoma: Results from ACRIN 6686 Multi-Center Trial.

J. Boxerman, K. Schmainda, D. Barboriak, 2020, Neuro-oncology.

Management of Craniosynostosis at an Advanced Age: Controversies, Clinical Findings, and Surgical Treatment

J. Boxerman, P. Klinge, Stephen R. Sullivan, 2016, The Journal of craniofacial surgery.

Encephalopathy at admission predicts adverse outcomes in patients with SARS‐CoV‐2 infection

Raymond Y Huang, Sohil H. Patel, J. Boxerman, 2021, CNS neuroscience & therapeutics.

Radiation necrosis of a high-grade glioma.

J. Boxerman, Deepak Raghavan, J. Rogg, 2012, Medicine and health, Rhode Island.

Principles of T2*‐weighted dynamic susceptibility contrast MRI technique in brain tumor imaging

James M. Provenzale, Max Wintermark, Meng Law, 2015, Journal of magnetic resonance imaging : JMRI.

Bidirectional Contrast agent leakage correction of dynamic susceptibility contrast (DSC)‐MRI improves cerebral blood volume estimation and survival prediction in recurrent glioblastoma treated with bevacizumab

J. Boxerman, T. Cloughesy, W. Pope, 2016, Journal of magnetic resonance imaging : JMRI.

Moving Toward a Consensus DSC-MRI Protocol: Validation of a Low–Flip Angle Single-Dose Option as a Reference Standard for Brain Tumors

J. Boxerman, K. Schmainda, C. Quarles, 2019, American Journal of Neuroradiology.

Dynamic susceptibility contrast MRI measures of relative cerebral blood volume continue to show promise as an early response marker in the setting of bevacizumab treatment.

J. Boxerman, K. Schmainda, D. Barboriak, 2015, Neuro-oncology.

in an Experimental Model 1

D. Bluemke, J. Boxerman, S. Kawamoto, 2000 .

Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials.

Marion Smits, Bradley J Erickson, Jayashree Kalpathy-Cramer, 2015, Neuro-oncology.

Evaluation of RAPNO criteria in medulloblastoma and other leptomeningeal seeding tumors using MRI and clinical data.

Raymond Y Huang, Sohil H. Patel, P. Wen, 2020, Neuro-oncology.

Early post-bevacizumab progression on contrast-enhanced MRI as a prognostic marker for overall survival in recurrent glioblastoma: results from the ACRIN 6677/RTOG 0625 Central Reader Study.

A Gregory Sorensen, Rajan Jain, Daniel P Barboriak, 2013, Neuro-oncology.

Paclitaxel Poliglumex, Temozolomide, and Radiation for Newly Diagnosed High-grade Glioma: A Brown University Oncology Group Study

J. Boxerman, T. Dipetrillo, E. Stopa, 2014, American journal of clinical oncology.

Anaplastic Lymphoma Kinase‐Positive Inflammatory Myofibroblastic Tumor Mimicking Meningioma: A Case Report

J. Boxerman, J. Stone, R. Bhuta, 2021, Neurographics.

Ipilimumab treatment associated pituitary hypophysitis: Clinical presentation and imaging diagnosis

Sanford J. Brown, J. Boxerman, J. Rogg, 2014, Clinical Neurology and Neurosurgery.

Toxoplasmosis versus lymphoma: Cerebral lesion characterization using DSC-MRI revisited

J. Boxerman, G. Baird, J. Rogg, 2017, Clinical Neurology and Neurosurgery.

Detecting Large Vessel Occlusion at Multiphase CT Angiography by Using a Deep Convolutional Neural Network.

U. Çetintemel, J. Boxerman, Carsten Eickhoff, 2020, Radiology.

NMR imaging of changes in vascular morphology due to tumor angiogenesis

B R Rosen, R M Weisskoff, B. Rosen, 1998, Magnetic resonance in medicine.

Quantitative Delta T1 (dT1) as a Replacement for Adjudicated Central Reader Analysis of Contrast-Enhancing Tumor Burden: A Subanalysis of the American College of Radiology Imaging Network 6677/Radiation Therapy Oncology Group 0625 Multicenter Brain Tumor Trial

J. Boxerman, K. Schmainda, D. Barboriak, 2019, American Journal of Neuroradiology.

Utility of Percentage Signal Recovery and Baseline Signal in DSC-MRI Optimized for Relative CBV Measurement for Differentiating Glioblastoma, Lymphoma, Metastasis, and Meningioma

J. Boxerman, C. Quarles, L. Bell, 2019, American Journal of Neuroradiology.

Performance of Standardized Relative CBV for Quantifying Regional Histologic Tumor Burden in Recurrent High-Grade Glioma: Comparison against Normalized Relative CBV Using Image-Localized Stereotactic Biopsies

Gustavo De Leon, J. Boxerman, L. Baxter, 2020, American Journal of Neuroradiology.

Pseudoprogression, radionecrosis, inflammation or true tumor progression? challenges associated with glioblastoma response assessment in an evolving therapeutic landscape

J. Boxerman, T. Kaufmann, W. Pope, 2017, Journal of Neuro-Oncology.

Advanced MRI Protocols to Discriminate Glioma From Treatment Effects: State of the Art and Future Directions

J. Boxerman, P. Canoll, K. Schmainda, 2022, Frontiers in Radiology.

Consensus recommendations for MRI and PET imaging of primary central nervous system lymphoma: guideline statement from the International Primary CNS Lymphoma Collaborative Group (IPCG)

Leland S. Hu, J. Boxerman, M. Mrugala, 2021, Neuro-oncology.

Radiographic Read Paradigms and the Roles of the Central Imaging Laboratory in Neuro-Oncology Clinical Trials.

P. Wen, J. Boxerman, M. J. van den Bent, 2020, Neuro-oncology.

Optimization of Acquisition and Analysis Methods for Clinical Dynamic Susceptibility Contrast MRI Using a Population-Based Digital Reference Object

J. Boxerman, C. Quarles, L. Bell, 2018, American Journal of Neuroradiology.

Effects of MRI Protocol Parameters, Preload Injection Dose, Fractionation Strategies, and Leakage Correction Algorithms on the Fidelity of Dynamic-Susceptibility Contrast MRI Estimates of Relative Cerebral Blood Volume in Gliomas

J. Boxerman, B. Ellingson, J.L. Boxerman, 2017, American Journal of Neuroradiology.

Utility of apparent diffusion coefficient in predicting the outcome of Gamma Knife-treated brain metastases prior to changes in tumor volume: a preliminary study.

Jerrold L Boxerman, J. Boxerman, M. Goldman, 2006, Journal of neurosurgery.

Prognostic value of contrast enhancement and FLAIR for survival in newly diagnosed glioblastoma treated with and without bevacizumab: results from ACRIN 6686

M. Gilbert, A. Sorensen, J. Boxerman, 2018, Neuro-oncology.

Longitudinal DSC-MRI for Distinguishing Tumor Recurrence From Pseudoprogression in Patients With a High-grade Glioma

Benjamin M Ellingson, Whitney B Pope, Jerrold L Boxerman, 2017, American journal of clinical oncology.

Dynamic Susceptibility Contrast MR Imaging in Glioma: Review of Current Clinical Practice.

J. Boxerman, W. Pope, M. Shiroishi, 2016, Magnetic resonance imaging clinics of North America.

ASFNR Recommendations for Clinical Performance of MR Dynamic Susceptibility Contrast Perfusion Imaging of the Brain

M Wintermark, M. Wintermark, J. Boxerman, 2015, American Journal of Neuroradiology.

Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement

James M. Brown, Tracy T Batchelor, Jayashree Kalpathy-Cramer, 2019, Neuro-oncology.

Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data

Joseph Ross Mitchell, Konstantinos Kamnitsas, Leland S. Hu, 2020, Journal of medical imaging.

Dynamic susceptibility contrast MRI measures of relative cerebral blood volume as a prognostic marker for overall survival in recurrent glioblastoma: results from the ACRIN 6677/RTOG 0625 multicenter trial.

A Gregory Sorensen, Kathleen M Schmainda, Daniel P Barboriak, 2015, Neuro-oncology.

Mr contrast due to intravascular magnetic susceptibility perturbations

B R Rosen, R M Weisskoff, J L Boxerman, 1995, Magnetic resonance in medicine.

Attenuated Myocardial Vasodilator Response in Patients With Hypertensive Hypertrophy Revealed by Oxygenation-Dependent Magnetic Resonance Imaging

A Z Faranesh, P A Bottomley, D A Herzka, 2001, Circulation.

Incidence of Extrinsic Compression of the Internal Jugular Vein in Unselected Patients Undergoing CT Angiography

J. Boxerman, M. Jayaraman, J. Rogg, 2012, American Journal of Neuroradiology.

Is Rolandic epilepsy associated with abnormal findings on cranial MRI?

Jerrold L. Boxerman, Deb K. Pal, J. Boxerman, 2007, Epilepsy Research.

Myelin Water Fraction Changes in Febrile Seizures Running Title: Myelination patterns in febrile seizures

J. Boxerman, S. Deoni, G. Cosgrove, 2018 .

Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach

Jiye G. Kim, William Lotter, A. Gregory Sorensen, 2019, ArXiv.

Deep Learning-Based Automatic Tumor Burden Assessment of Pediatric High-Grade Gliomas, Medulloblastomas, and Other Leptomeningeal Seeding Tumors.

Raymond Y Huang, Jayashree Kalpathy-Cramer, P. Wen, 2021, Neuro-oncology.

Advanced MR imaging techniques for evaluation of the heart and great vessels.

E R McVeigh, E Atalar, T J Mosher, 1998, Radiographics : a review publication of the Radiological Society of North America, Inc.

A Population-Based Digital Reference Object (DRO) for Optimizing Dynamic Susceptibility Contrast (DSC)-MRI Methods for Clinical Trials

Natenael B. Semmineh, Ashley M. Stokes, Laura C. Bell, 2017, Tomography.

Detection of emergent large vessel occlusion stroke with CT angiography is high across all levels of radiology training and grayscale viewing methods

J. Boxerman, M. Jayaraman, R. McTaggart, 2020, European Radiology.

Hypothetical Generalized Framework for a New Imaging Endpoint of Therapeutic Activity in Early Phase Clinical Trials in Brain Tumors.

Susan M. Chang, M. Gilbert, P. Wen, 2022, Neuro-oncology.

Early post-bevacizumab change in rCBV from DSC-MRI identifies pseudoresponse in recurrent glioblastoma: Results from ACRIN 6677/RTOG 0625

J. Boxerman, K. Schmainda, D. Barboriak, 2023, Frontiers in Oncology.

Clinical Stroke Penumbra: Use of National Institutes of Health Stroke Scale as a Surrogate for CT Perfusion in Patient Triage for Intra-Arterial Middle Cerebral Artery Stroke Therapy

J. Boxerman, M. Jayaraman, J. Rogg, 2012, American Journal of Neuroradiology.

Corrigendum to: Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors.

Raymond Y Huang, Jayashree Kalpathy-Cramer, P. Wen, 2021, Neuro-oncology.

Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)

Thomas E. Yankeelov, Chengyue Wu, Mark Muzi, 2019, Tomography.

Functional MR of brain activity and perfusion in patients with chronic cortical stroke.

T. L. Davis, K K Kwong, R M Weisskoff, 1995, AJNR. American journal of neuroradiology.

An Efficient Computational Approach to Characterize DSC-MRI Signals Arising from Three-Dimensional Heterogeneous Tissue Structures

Paul W. Cleary, John C. Gore, Gary W. Delaney, 2014, PloS one.

PPX and Concurrent Radiation for Newly Diagnosed Glioblastoma Without MGMT Methylation: A Randomized Phase II Study BrUOG 244

J. Boxerman, S. Kesari, M. Mrugala, 2015, American journal of clinical oncology.

First confirmed case of Powassan neuroinvasive disease in Rhode Island

J. Boxerman, T. Flanigan, Ioannis M. Zacharioudakis, 2018, IDCases.

Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach

William Lotter, J. Boxerman, B. Haslam, 2021, Nature Medicine.

Advances in myelin imaging with potential clinical application to pediatric imaging.

G Rees Cosgrove, Jonathan O'Muircheartaigh, Holly Dirks, 2013, Neurosurgical focus.

The Role of Preload and Leakage Correction in Gadolinium-Based Cerebral Blood Volume Estimation Determined by Comparison with MION as a Criterion Standard

J. Boxerman, K. Schmainda, D. Bedekar, 2012, American Journal of Neuroradiology.

Principles of T2*‐weighted dynamic susceptibility contrast MRI technique in brain tumor imaging

M. Essig, M. Wintermark, J. Boxerman, 2015, Journal of magnetic resonance imaging : JMRI.

The Effect of Pulse Sequence Parameters and Contrast Agent Dose on Percentage Signal Recovery in DSC-MRI: Implications for Clinical Applications

J. Boxerman, K. Schmainda, E. Paulson, 2013, American Journal of Neuroradiology.

Advances in myelin imaging with potential clinical application to pediatric imaging.

J. Boxerman, S. Deoni, G. Cosgrove, 2013, Neurosurgical focus.

Variable block-sized vector quantization of grayscale images with unconstrained tiling

J. L. Boxerman, H. J. Lee, H. J. Lee, 1990, International Conference on Acoustics, Speech, and Signal Processing.

J. Boxerman, T. Cloughesy, W. Pope, 2016, Journal of magnetic resonance imaging : JMRI.

Cortical blindness following a near-drowning incident.

J. Boxerman, E. H. Koo, M. Murphy, 2011, Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society.

Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) Challenge

Thomas E. Yankeelov, Chengyue Wu, Mark Muzi, 2020, Tomography.

J. Boxerman, T. Cloughesy, L. Liau, 2016, American Journal of Neuroradiology.