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John Buatti

Explore the profile of John Buatti including associated specialties, affiliations and a list of published articles. Areas
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Articles 28
Citations 3181
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Recent Articles
1.
Trentz C, Engelbart J, Semprini J, Kahl A, Anyimadu E, Buatti J, et al.
Health Care Manag Sci . 2024 Nov; 27(4):631-649. PMID: 39495385
Background: Despite decades of pursuing health equity, racial and ethnic disparities persist in healthcare in America. For cancer specifically, one of the leading observed disparities is worse mortality among non-Hispanic...
2.
Fedorov A, Beichel R, Kalpathy-Cramer J, Clunie D, Onken M, Riesmeier J, et al.
JCO Clin Cancer Inform . 2020 May; 4:444-453. PMID: 32392097
Purpose: We summarize Quantitative Imaging Informatics for Cancer Research (QIICR; U24 CA180918), one of the first projects funded by the National Cancer Institute (NCI) Informatics Technology for Cancer Research program....
3.
Zhong Z, Kim Y, Buatti J, Wu X
Positron emission tomography - computed tomography (PET-CT) has been widely used in modern cancer imaging. Accurate tumor delineation from PET and CT plays an important role in radiation therapy. The...
4.
Wu X, Zhong Z, Buatti J, Bai J
Proc IEEE Int Symp Biomed Imaging . 2019 Nov; 2018:514-518. PMID: 31772718
Deep networks have been used in a growing trend in medical image analysis with the remarkable progress in deep learning. In this paper, we formulate the multi-scale segmentation as a...
5.
Zhong Z, Kim Y, Zhou L, Plichta K, Allen B, Buatti J, et al.
Proc IEEE Int Symp Biomed Imaging . 2019 Nov; 2018:228-231. PMID: 31772717
Positron emission tomography and computed tomography (PET-CT) dual-modality imaging provides critical diagnostic information in modern cancer diagnosis and therapy. Automated accurate tumor delineation is essentially important in computer-assisted tumor reading...
6.
Zhong Z, Kim Y, Zhou L, Plichta K, Allen B, Buatti J, et al.
Proc IEEE Int Symp Biomed Imaging . 2019 Nov; 2018:224-227. PMID: 31762933
Positron emission tomography and computed tomography (PET-CT) plays a critically important role in modern cancer therapy. In this paper, we focus on automated tumor delineation on PET-CT image pairs. Inspired...
7.
Burmeister J, Buatti J, Jimenez R, Marcrom S, Olivier K, Price M, et al.
Int J Radiat Oncol Biol Phys . 2019 Oct; 106(1):43-44. PMID: 31648870
No abstract available.
8.
Zhong Z, Kim Y, Plichta K, Allen B, Zhou L, Buatti J, et al.
Med Phys . 2018 Dec; 46(2):619-633. PMID: 30537103
Purpose: To investigate the use and efficiency of 3-D deep learning, fully convolutional networks (DFCN) for simultaneous tumor cosegmentation on dual-modality nonsmall cell lung cancer (NSCLC) and positron emission tomography...
9.
Marquardt M, Anderson C, Ginader T, Parkhurst J, Pagedar N, Bayon R, et al.
Ann Otol Rhinol Laryngol . 2018 Jan; 127(3):185-191. PMID: 29313371
Objectives: To evaluate the performance of surveillance F-18 fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) 1 year after imaging in oral squamous cell carcinoma (OSCC) patients treated with definitive surgery and...
10.
Byrd D, Christopfel R, Buatti J, Moros E, Nehmeh S, Opanowski A, et al.
J Med Imaging (Bellingham) . 2017 Dec; 5(1):011012. PMID: 29250567
Clinical trials that evaluate cancer treatments may benefit from positron emission tomography (PET) imaging, which for many cancers can discriminate between effective and ineffective treatments. However, the image metrics used...