E. Paulson

发表

Comparison of dynamic susceptibility-weighted contrast-enhanced MR methods: recommendations for measuring relative cerebral blood volume in brain tumors.

K. Schmainda, E. Paulson, 2008, Radiology.

Evaluation of absolute and normalized apparent diffusion coefficient (ADC) values within the post-operative T2/FLAIR volume as adverse prognostic indicators in glioblastoma

M. Siker, E. Paulson, J. Bovi, 2015, Journal of Neuro-Oncology.

Comprehensive MRI simulation methodology using a dedicated MRI scanner in radiation oncology for external beam radiation treatment planning.

B. Erickson, E. Paulson, C. Schultz, 2014, Medical physics.

Reducing the Dimensionality of Optimal Experiment Design for Magnetic Resonance Fingerprinting.

A. Nencka, E. Paulson, N. Mickevicius, 2020, 2010.00674.

ADC measurements on the unity MR-linac - a recommendation on behalf of the elekta unity MR-linac consortium.

Rob H.N. Tijssen, Eric S. Paulson, Daniela Thorwarth, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Variability of target and normal structure delineation using multimodality imaging for radiation therapy of pancreatic cancer.

X Allen Li, Eric Paulson, Beth Erickson, 2014, International journal of radiation oncology, biology, physics.

Evaluation of pre-radiotherapy apparent diffusion coefficient (ADC): patterns of recurrence and survival outcomes analysis in patients treated for glioblastoma multiforme

P. LaViolette, M. Siker, E. Paulson, 2015, Journal of Neuro-Oncology.

Dynamic MRI analysis of tumor and organ motion during rest and deglutition and margin assessment for radiotherapy of head-and-neck cancer.

Eric S. Paulson, Ergun Ahunbay, X. Allen Li, 2011, International journal of radiation oncology, biology, physics.

SU‐DD‐A3‐01: Swallowing‐Induced Target Motion and Dosimetric Impact for Head and Neck Cancer Radiotherapy as Assessed by Dynamic MRI

X. Li, E. Ahunbay, E. Paulson, 2009 .

Findings of the AAPM Ad Hoc committee on magnetic resonance imaging in radiation therapy: Unmet needs, opportunities, and recommendations

Geoffrey D. Hugo, J. Hazle, B. Fallone, 2021, Medical physics.

Measurement validation of treatment planning for a MR‐Linac

X. Li, E. Ahunbay, S. Klawikowski, 2019, Journal of applied clinical medical physics.

TU‐E‐BRC‐05: “Step and Shoot MRI:” a Simple Acquisition Method to Reduce Gradient Nonlinearity‐Induced Geometric Distortions for Radiation Treatment Planning

Eric S. Paulson, Robert W. Prost, R. Prost, 2011 .

Pancreatic gross tumor volume contouring on computed tomography (CT) compared with magnetic resonance imaging (MRI): Results of an international contouring conference.

B. Erickson, P. Parikh, K. Aitken, 2017, Practical radiation oncology.

Detecting changes in human cerebral blood flow after acute exercise using arterial spin labeling: Implications for fMRI

D. Cook, J. Smith, M. Verber, 2010, Journal of Neuroscience Methods.

Imaging in the Management of Gynecologic Cancers

E. Paulson, S. Ng, J. Kharofa, 2019, Practical Guides in Radiation Oncology.

A Patient-Specific Autosegmentation Strategy Using Multi-Input Deformable Image Registration for Magnetic Resonance Imaging–Guided Online Adaptive Radiation Therapy: A Feasibility Study

B. Erickson, X. Li, E. Ahunbay, 2020, Advances in radiation oncology.

A Patient-Specific Autosegmentation Strategy Using Multi-Input Deformable Image Registration for Magnetic Resonance Imaging–Guided Online Adaptive Radiation Therapy: A Feasibility Study

B. Erickson, X. Li, E. Ahunbay, 2020, Advances in radiation oncology.

Initial clinical experience of Stereotactic Body Radiation Therapy (SBRT) for liver metastases, primary liver malignancy, and pancreatic cancer with 4D-MRI based online adaptation and real-time MRI monitoring using a 1.5 Tesla MR-Linac

B. Erickson, X. Li, E. Ahunbay, 2020, PloS one.

NRG Oncology Updated International Consensus Atlas on Pelvic Lymph Node Volumes for Intact and Post-Operative Prostate Cancer.

D. Dearnaley, M. Harisinghani, H. Sandler, 2020, International journal of radiation oncology, biology, physics.

Motion Management

R. Tijssen, E. Paulson, 2019, MRI for Radiotherapy.

Variations of MRI-assessed peristaltic motions during radiation therapy

B. Erickson, X. Li, A. Tai, 2018, PloS one.

A preferred patient decubitus positioning for magnetic resonance image guided online adaptive radiation therapy of pancreatic cancer

B. Erickson, X. Li, P. Prior, 2019, Physics and Imaging in Radiation Oncology.

Adaptive magnetic resonance image guided radiation for intact localized prostate cancer how to optimally test a rapidly emerging technology

A. Kishan, E. Hall, U. A. van der Heide, 2022, Frontiers in Oncology.

Spiral Perfusion Imaging With Consecutive Echoes (SPICE™) for the Simultaneous Mapping of DSC- and DCE-MRI Parameters in Brain Tumor Patients: Theory and Initial Feasibility

Eric S. Paulson, Kathleen M. Schmainda, K. Schmainda, 2016, Tomography.

Predicting necessity of daily online adaptive replanning based on wavelet image features for MRI guided adaptive radiation therapy.

B. Erickson, H. Nasief, A. Parchur, 2022, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

4D-MRI driven MR-guided online adaptive radiotherapy for abdominal stereotactic body radiation therapy on a high field MR-Linac: Implementation and initial clinical experience

B. Erickson, X. Li, E. Ahunbay, 2020, Clinical and translational radiation oncology.

Development and implementation of an automatic air delineation technique for MRI-guided adaptive radiation therapy

X. Li, A. Parchur, E. Ahunbay, 2022, Physics in medicine and biology.

First Clinical Use of a Parallel Workflow to Reduce Recontouring Time and Errors in MR-Guided Online Adaptive Radiotherapy

B. Erickson, E. Ahunbay, E. Paulson, 2019, International Journal of Radiation Oncology*Biology*Physics.

DSC-MRI Measures of rCBV Predict Response to Bevacizumab Treatment More Reliably than Standard MRI in Patients with Recurrent High-Grade Gliomas

S. Kurpad, M. Malkin, K. Schmainda, 2009 .

An End-to-End Verification of Online Adaptation Process on a High-Field MR-Linac

E. Ahunbay, E. Paulson, A. Li, 2018, International Journal of Radiation Oncology*Biology*Physics.

Delta T1 (dT1) method as a tool to evaluate tumor progression in patients with brain cancer.

W. Mueller, M. Malkin, K. Schmainda, 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Restoring Susceptibility Induced MRI Signal Loss in Rat Brain at 9.4 T: A Step towards Whole Brain Functional Connectivity Imaging

Eric S. Paulson, Anthony G. Hudetz, James S. Hyde, 2015, PloS one.

MR-Guided Radiotherapy for Brain and Spine Tumors

R. Stoyanova, E. Mellon, J. Ford, 2021, Frontiers in Oncology.

Effect of contrast leakage on the detection of abnormal brain tumor vasculature in high-grade glioma

Eric S. Paulson, Peter S. LaViolette, Kathleen M. Schmainda, 2014, Journal of Neuro-Oncology.

Recommendations for MRI-based contouring of gross tumor volume and organs at risk for radiation therapy of pancreatic cancer.

E S Paulson, M van Vulpen, B. Erickson, 2017, Practical radiation oncology.

Magnetic resonance biomarkers in radiation oncology: The report of AAPM Task Group 294

J. Debbins, E. Moros, J. Kurhanewicz, 2021, Medical physics.

Magnetic Resonance Guided Radiation Therapy for Pancreatic Adenocarcinoma, Advantages, Challenges, Current Approaches, and Future Directions

B. Erickson, P. Parikh, L. Dawson, 2021, Frontiers in Oncology.

Magnetic resonance linear accelerator technology and adaptive radiation therapy: An overview for clinicians

A. Kishan, B. Erickson, X. Li, 2021, CA: a cancer journal for clinicians.

The transformation of radiation oncology using real-time magnetic resonance guidance: A review.

David A Jaffray, X Allen Li, Clifton D Fuller, 2019, European journal of cancer.

Consensus opinion on MRI simulation for external beam radiation treatment planning.

Eric S Paulson, Jihong Wang, Uulke A van der Heide, 2016, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

MRI commissioning of 1.5T MR-linac systems - a multi-institutional study.

Rob H N Tijssen, Jihong Wang, Eric S Paulson, 2019, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Repeatability of Standardized and Normalized Relative CBV in Patients with Newly Diagnosed Glioblastoma

J. Kalpathy-Cramer, Jayashree Kalpathy-Cramer, S. Stufflebeam, 2015, American Journal of Neuroradiology.

Pretreatment Volume of MRI-Determined White Matter Injury Predicts Neurocognitive Decline After Hippocampal Avoidant Whole-Brain Radiation Therapy for Brain Metastases: Secondary Analysis of NRG Oncology Radiation Therapy Oncology Group 0933

M. Mehta, M. Shahin, L. Kachnic, 2019, Advances in radiation oncology.

Auto-segmentation of pancreatic tumor in multi-parametric MRI using deep convolutional neural networks.

Ying Liang, Ying Zhang, X Allen Li, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Task Group 284 Report: Magnetic Resonance Imaging Simulation in Radiotherapy: Considerations for Clinical Implementation, Optimization, and Quality Assurance.

J. Balter, J. Bayouth, K. McGee, 2021, Medical physics.

Simultaneous orthogonal plane imaging

Nikolai J Mickevicius, Eric S Paulson, E. Paulson, 2017, Magnetic resonance in medicine.

Feasibility and accuracy of quantitative imaging on a 1.5 T MR-linear accelerator.

F. Koetsveld, O. Gurney-Champion, U. A. van der Heide, 2019, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

A Technique to Rapidly Generate Synthetic Computed Tomography for Magnetic Resonance Imaging-Guided Online Adaptive Replanning: An Exploratory Study.

X. Li, E. Ahunbay, E. Paulson, 2019, International journal of radiation oncology, biology, physics.

A daily end‐to‐end quality assurance workflow for MR‐guided online adaptive radiation therapy on MR‐Linac

X Allen Li, Ergun Ahunbay, Eric S Paulson, 2019, Journal of applied clinical medical physics.

Serial T2-Weighted Magnetic Resonance Images Acquired on a 1.5 Tesla Magnetic Resonance Linear Accelerator Reveal Radiomic Feature Variation in Organs at Risk: An Exploratory Analysis of Novel Metrics of Tissue Response in Prostate Cancer

X. Li, E. Paulson, C. Schultz, 2019, Cureus.

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.

Particle Filter-Based Target Tracking Algorithm for Magnetic Resonance-Guided Respiratory Compensation: Robustness and Accuracy Assessment.

Rob H N Tijssen, Alexandra E Bourque, Stéphane Bedwani, 2018, International journal of radiation oncology, biology, physics.

Internal margin assessment using cine MRI analysis of deglutition in head and neck cancer radiotherapy.

Ergun E Ahunbay, X Allen Li, Eric S Paulson, 2011, Medical physics.

Nuts and bolts of 4D-MRI for radiotherapy

B Stemkens, E S Paulson, R H N Tijssen, 2018, Physics in medicine and biology.

Generalized simultaneous multi‐orientation 2D imaging

Nikolai J Mickevicius, Eric S Paulson, Andrew S Nencka, 2019, Magnetic resonance in medicine.

Feasibility of Real-time Motion Tracking Using Cine MRI During MR-Guided Radiation Therapy for Abdominal Targets.

X Allen Li, Eric Paulson, Martin Lachaine, 2020, Medical physics.

A prior knowledge guided deep learning based semi-automatic segmentation for complex anatomy on MRI.

B. Erickson, X. Li, E. Ahunbay, 2022, International journal of radiation oncology, biology, physics.

Improving Structure Delineation for Radiation Therapy Planning Using Dual-Energy CT

X. Li, A. Tai, N. Mistry, 2020, Frontiers in Oncology.

Appropriate magnetic resonance imaging techniques for gross tumor volume delineation in external beam radiation therapy of locally advanced cervical cancer

B. Erickson, X. Li, Gang Wu, 2015, Oncotarget.

MRI-based IMRT planning for MR-linac: comparison between CT- and MRI-based plans for pancreatic and prostate cancers

X Allen Li, Eric S Paulson, Beth Erickson, 2016, Physics in medicine and biology.

Quantitative and Qualitative Comparison of Single-Source Dual-Energy Computed Tomography and 120-kVp Computed Tomography for the Assessment of Pancreatic Ductal Adenocarcinoma

P. Bhosale, P. Fox, E. Paulson, 2015, Journal of computer assisted tomography.

X-ray and MR Contrast Bearing Nanoparticles Enhance the Therapeutic Response of Image-Guided Radiation Therapy for Oral Cancer

Gayatri Sharma, A. Parchur, Amit Joshi, 2023, Technology in cancer research & treatment.

3-T MRI-based adaptive brachytherapy for cervix cancer: treatment technique and initial clinical outcomes.

J. Rownd, J. Rader, D. Uyar, 2013, Brachytherapy.

Correlation of ADC With Pathological Treatment Response for Radiation Therapy of Pancreatic Cancer

B. Erickson, X. Li, A. Tai, 2015, Translational oncology.

Adaptive radiation dose escalation in rectal adenocarcinoma: a review.

B. Erickson, E. Paulson, W. Hall, 2017, Journal of gastrointestinal oncology.

A simple method for rectified noise floor suppression: Phase‐corrected real data reconstruction with application to diffusion‐weighted imaging

Kathleen M Schmainda, Eric S Paulson, Andrew S Nencka, 2010, Magnetic resonance in medicine.

AAPM Task Group Report 303 endorsed by the ABS: MRI Implementation in HDR Brachytherapy-Considerations from Simulation to Treatment.

C. Kirisits, B. Erickson, G. Cohen, 2022, Medical physics.

SU-E-J-272: Auto-Segmentation of Regions with Differentiating CT Numbers for Treatment Response Assessment

X. Li, E. Paulson, G. Noid, 2015 .

Investigation of undersampling and reconstruction algorithm dependence on respiratory correlated 4D-MRI for online MR-guided radiation therapy

Nikolai J Mickevicius, Eric S Paulson, E. Paulson, 2017, Physics in medicine and biology.

On the Use of Low-Dimensional Temporal Subspace Constraints to Reduce Reconstruction Time and Improve Image Quality of Accelerated 4D-MRI.

E. Paulson, N. Mickevicius, 2021, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

A general framework to develop a radiomic fingerprint for progression-free survival in cervical cancer.

J. Rownd, H. Nasief, E. Paulson, 2023, Brachytherapy.

Predicting treatment response from extracellular volume fraction for chemoradiation therapy of pancreatic cancer.

B. Erickson, E. Paulson, G. Noid, 2022, International journal of radiation oncology, biology, physics.

Comparison of Dynamic Susceptibility-weighted

Eric S. Paulson, Kathleen M. Schmainda, K. Schmainda, 2008 .

Repeatability of Standardized and Normalized Relative CBV in Patients with Newly Diagnosed Glioblastoma

Jayashree Kalpathy-Cramer, S. Stufflebeam, K. Schmainda, 2015, American Journal of Neuroradiology.

Deep learning auto-segmentation on multi-sequence magnetic resonance images for upper abdominal organs

B. Erickson, R. He, Jinzhong Yang, 2023, Frontiers in oncology.

Multi parametric magnetic resonance imaging for radiation treatment planning.

X. Li, E. Ahunbay, E. Paulson, 2022, Medical physics.

Automated deep learning auto-segmentation of air volumes for MRI-guided online adaptive radiation therapy of abdominal tumors.

A. Parchur, E. Ahunbay, E. Paulson, 2023, Physics in medicine and biology.