Yuri S Velichko
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Explore the profile of Yuri S Velichko including associated specialties, affiliations and a list of published articles.
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23
Citations
371
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Recent Articles
1.
Goreish M, Gennaro N, Perronne L, Durak G, Borhani A, Savas H, et al.
Cancers (Basel)
. 2025 Mar;
17(5).
PMID: 40075678
: To correlate size changes in undifferentiated pleomorphic sarcoma (UPS) on magnetic resonance imaging (MRI) after neoadjuvant chemoradiation therapy (nCRT) with pathological response, risk of local recurrence, and therapeutic regimens....
2.
Seyithanoglu D, Durak G, Keles E, Medetalibeyoglu A, Hong Z, Zhang Z, et al.
Cancers (Basel)
. 2025 Jan;
16(24.
PMID: 39766167
Pancreatic cystic lesions (PCLs) represent a spectrum of non-neoplasms and neoplasms with varying malignant potential, posing significant challenges in diagnosis and management. While some PCLs are precursors to pancreatic cancer,...
3.
Horowitz J, Vendrami C, Velichko Y, Green-Walker A, Kelahan L, Jawahar A, et al.
J Comput Assist Tomogr
. 2024 Oct;
49(1):57-63.
PMID: 39379060
Objective: The aim of the study is to assess the validity of a recently published consensus magnetic resonance imaging (MRI) diagnostic algorithm for differentiating degenerating leiomyomas from uterine sarcomas and...
4.
Bui T, Yalom L, Ning E, Urbanczyk J, Ren X, Herrnreiter C, et al.
J Clin Invest
. 2024 Feb;
134(7).
PMID: 38329810
Neutrophil (PMN) tissue accumulation is an established feature of ulcerative colitis (UC) lesions and colorectal cancer (CRC). To assess the PMN phenotypic and functional diversification during the transition from inflammatory...
5.
Soliman M, Magnetta M, Salinas A, Feinn R, Velichko Y, Miller F, et al.
Abdom Radiol (NY)
. 2023 Nov;
49(2):357-364.
PMID: 37989898
Purpose: To assess the diagnostic performance and reliability of 18 CT signs to diagnose cecal volvulus, a surgical emergency, versus a group of non-volvulus mimickers. Materials And Methods: Four radiologists...
6.
Moawad A, Janas A, Baid U, Ramakrishnan D, Saluja R, Ashraf N, et al.
ArXiv
. 2023 Jul;
PMID: 37396600
The translation of AI-generated brain metastases (BM) segmentation into clinical practice relies heavily on diverse, high-quality annotated medical imaging datasets. The BraTS-METS 2023 challenge has gained momentum for testing and...
7.
Soliman M, Kelahan L, Magnetta M, Savas H, Agrawal R, Avery R, et al.
JCO Clin Cancer Inform
. 2022 Nov;
6:e2200023.
PMID: 36332157
Purpose: Variability in computed tomography images intrinsic to individual scanners limits the application of radiomics in clinical and research settings. The development of reproducible and generalizable radiomics-based models to assess...
8.
Kelahan L, Kim D, Soliman M, Avery R, Savas H, Agrawal R, et al.
Eur Radiol
. 2022 Jan;
32(6):4025-4033.
PMID: 35080646
Objectives: To evaluate the effect of hepatic metastatic lesion size on inter-reader reproducibility of CT-based 2D radiomics imaging features. Methods: Computerized tomography (CT) scans of 59 liver metastases from 34...
9.
Borhani A, Catania R, Velichko Y, Hectors S, Taouli B, Lewis S
Abdom Radiol (NY)
. 2021 Apr;
46(8):3674-3685.
PMID: 33891149
Radiomics refers to the process of conversion of conventional medical images into quantifiable data ("features") which can be further mined to reveal complex patterns and relationships between the voxels in...
10.
Velichko Y, Mozafarykhamseh A, Agirlar Trabzonlu T, Zhang Z, Rademaker A, Yaghmai V
Acad Radiol
. 2020 Apr;
28(4):e93-e100.
PMID: 32303447
Purpose: To evaluate the effect of the anatomic size on 3D radiomic imaging features of the breast cancer hepatic metastases. Materials And Methods: CT scans of 81 liver metastases from...