Eric Paulson
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Explore the profile of Eric Paulson including associated specialties, affiliations and a list of published articles.
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43
Citations
432
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Recent Articles
1.
Ahunbay A, Ahunbay A, Paulson E, Paulson E, Ahunbay E, Zhang Y
Phys Med Biol
. 2025 Jan;
70(4).
PMID: 39883962
One bottleneck of magnetic resonance imaging (MRI)-guided online adaptive radiotherapy is the time-consuming daily online replanning process. The current leaf sequencing method takes up to 10 min, with potential dosimetric...
2.
Garcia-Alvarez J, Paulson E, Kainz K, Puckett L, Shukla M, Zhu F, et al.
Radiother Oncol
. 2025 Jan;
205:110741.
PMID: 39855600
Background: Re-irradiation in radiotherapy presents complexities that require dedicated tools to generate optimal re-treatment plans. This study presents a robust workflow that considers fractionation size, anatomical variations between treatments, and...
3.
Weerasekera R, Moreau A, Huang X, Nam K, Hinbest A, Huynh Y, et al.
PLoS Pathog
. 2024 Dec;
20(12):e1012750.
PMID: 39621768
Many pathogenic bacteria form biofilms as a protective measure against environmental and host hazards. The underlying structure of the biofilm matrix consists of secreted macromolecules, often including exopolysaccharides. To escape...
4.
Sanford N, Narang A, Aguilera T, Bassetti M, Chuong M, Erickson B, et al.
Int J Radiat Oncol Biol Phys
. 2024 Nov;
121(4):918-929.
PMID: 39510320
Purpose: Dose-escalated radiation therapy is increasingly used in the treatment of pancreatic cancer; however, approaches to target delineation vary widely. We present the first North American cooperative group consensus contouring...
5.
Zarenia M, Zhang Y, Sarosiek C, Conlin R, Amjad A, Paulson E
Phys Med Biol
. 2024 Oct;
69(21).
PMID: 39413822
Deep-learning auto-segmentation (DLAS) aims to streamline contouring in clinical settings. Nevertheless, achieving clinical acceptance of DLAS remains a hurdle in abdominal MRI, hindering the implementation of efficient clinical workflows for...
6.
Zhang Y, Amjad A, Ding J, Sarosiek C, Zarenia M, Conlin R, et al.
Pract Radiat Oncol
. 2024 Sep;
15(1):93-102.
PMID: 39233005
Purpose: The current commonly used metrics for evaluating the quality of auto-segmented contours have limitations and do not always reflect the clinical usefulness of the contours. This work aims to...
7.
Hall W, Mathison A, DeVoe E, Tschannen M, Wendt-Andrae J, Straza M, et al.
Int J Radiat Oncol Biol Phys
. 2024 May;
120(2):570-578.
PMID: 38819340
Purpose: Changes in quantitative magnetic resonance imaging (qMRI) are frequently observed during chemotherapy or radiation therapy (RT). It is hypothesized that qMRI features are reflective of underlying tissue responses. It's...
8.
Eijkelenkamp H, Grimbergen G, Daamen L, Heerkens H, van de Ven S, Mook S, et al.
Front Oncol
. 2023 Oct;
13:1040673.
PMID: 37854684
Introduction: Online adaptive magnetic resonance-guided radiotherapy (MRgRT) is a promising treatment modality for pancreatic cancer and is being employed by an increasing number of centers worldwide. However, clinical outcomes have...
9.
Small C, Prior P, Nasief H, Zeitlin R, Saeed H, Paulson E, et al.
Brachytherapy
. 2023 Aug;
22(6):728-735.
PMID: 37574352
Purpose: Treatment of locally advanced cervical cancer patients includes chemoradiation followed by brachytherapy. Our aim is to develop a delta radiomics (DRF) model from MRI-based brachytherapy treatment and assess its...
10.
Amjad A, Xu J, Thill D, Zhang Y, Ding J, Paulson E, et al.
Front Oncol
. 2023 Jul;
13:1209558.
PMID: 37483486
Introduction: Multi-sequence multi-parameter MRIs are often used to define targets and/or organs at risk (OAR) in radiation therapy (RT) planning. Deep learning has so far focused on developing auto-segmentation models...