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Walter J. Curran
Researcher at Emory University
Publications - 751
Citations - 45336
Walter J. Curran is an academic researcher from Emory University. The author has contributed to research in topics: Radiation therapy & Lung cancer. The author has an hindex of 86, co-authored 742 publications receiving 38522 citations. Previous affiliations of Walter J. Curran include Fox Chase Cancer Center & Washington University in St. Louis.
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Journal ArticleDOI
RTOG 9705, a phase II trial of postoperative adjuvant paclitaxel/carboplatin and thoracic radiotherapy in resected stage II and IIA non-small cell lung cancer (NSCLC) patients — promising long term survival results
Mary V. Graham,Rebecca Paulus,David S. Ettinger,Jeffrey D. Bradley,Miljenko V. Pilepich,Mitchell Machtay,R.U. Komaki,James M Atkins,Walter J. Curran,Charles B. Scott +9 more
Journal ArticleDOI
Prognostic value of radiographically defined extranodal extension in human papillomavirus‐associated locally advanced oropharyngeal carcinoma
Sibo Tian,Matthew J. Ferris,Jeffrey M. Switchenko,Kelly R. Magliocca,Richard J. Cassidy,Jaymin Jhaveri,Ashley H. Aiken,Kristen L. Baugnon,Patricia A. Hudgins,Ayse Tuba Kendi,Mihir R. Patel,Nabil F. Saba,Walter J. Curran,Jonathan J. Beitler +13 more
TL;DR: The prognostic value of radiographic ENE in human papillomavirus‐associated oropharyngeal squamous cell carcinoma (HPV + OPX) is uncertain.
Journal ArticleDOI
Automatic segmentation and quantification of epicardial adipose tissue from coronary computed tomography angiography.
Xiuxiu He,Bang Jun Guo,Bang Jun Guo,Yang Lei,Tonghe Wang,Yabo Fu,Walter J. Curran,Long Jiang Zhang,Long Jiang Zhang,Tian Liu,Xiaofeng Yang +10 more
TL;DR: The proposed 3D deep attention U-Net method to automatically segment the EAT from coronary computed tomography angiography (CCTA) images shows the potential of the proposed method to be used in computer-aided diagnosis of coronary artery diseases (CADs) in clinical settings.
Journal ArticleDOI
Influence of a sampling review process for radiation oncology quality assurance in cooperative group clinical trials — results of the Radiation Therapy Oncology Group (RTOG) analysis
TL;DR: A random sampling process designed by the Radiation Therapy Oncology Group proved itself to be cost-effective and resulted in a noticeable reduction in the workload, thus providing an improved approach to resource allocation for the group.
Proceedings ArticleDOI
Improving Image Quality of Cone-Beam CT Using Alternating Regression Forest.
Yang Lei,Xiangyang Tang,Kristin Higgins,Tonghe Wang,Tian Liu,Anees Dhabaan,Hyunsuk Shim,Walter J. Curran,Xiaofeng Yang +8 more
TL;DR: In this article, a CBCT image quality improvement method based on anatomic signature and auto-context alternating regression forest is proposed, where patient-specific anatomical features are extracted from the aligned training images and served as signatures for each voxel.