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Year | Number of Results |
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2020 | 2 |
2022 | 1 |
2023 | 1 |
2024 | 0 |
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Page 1
RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment.
IEEE J Biomed Health Inform. 2022 Jun;26(6):2627-2636. doi: 10.1109/JBHI.2022.3146778. Epub 2022 Jun 3.
IEEE J Biomed Health Inform. 2022.
PMID: 35085099
Free PMC article.
Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study.
DeSilvio T, Antunes JT, Bera K, Chirra P, Le H, Liska D, Stein SL, Marderstein E, Hall W, Paspulati R, Gollamudi J, Purysko AS, Viswanath SE.
DeSilvio T, et al. Among authors: antunes jt.
Front Med (Lausanne). 2023 May 11;10:1149056. doi: 10.3389/fmed.2023.1149056. eCollection 2023.
Front Med (Lausanne). 2023.
PMID: 37250635
Free PMC article.
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Radiomic Features of Primary Rectal Cancers on Baseline T2 -Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation: A Multisite Study.
Antunes JT, Ofshteyn A, Bera K, Wang EY, Brady JT, Willis JE, Friedman KA, Marderstein EL, Kalady MF, Stein SL, Purysko AS, Paspulati R, Gollamudi J, Madabhushi A, Viswanath SE.
Antunes JT, et al.
J Magn Reson Imaging. 2020 Nov;52(5):1531-1541. doi: 10.1002/jmri.27140. Epub 2020 Mar 26.
J Magn Reson Imaging. 2020.
PMID: 32216127
Free PMC article.
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Radiomic Texture and Shape Descriptors of the Rectal Environment on Post-Chemoradiation T2-Weighted MRI are Associated with Pathologic Tumor Stage Regression in Rectal Cancers: A Retrospective, Multi-Institution Study.
Alvarez-Jimenez C, Antunes JT, Talasila N, Bera K, Brady JT, Gollamudi J, Marderstein E, Kalady MF, Purysko A, Willis JE, Stein S, Friedman K, Paspulati R, Delaney CP, Romero E, Madabhushi A, Viswanath SE.
Alvarez-Jimenez C, et al. Among authors: antunes jt.
Cancers (Basel). 2020 Jul 24;12(8):2027. doi: 10.3390/cancers12082027.
Cancers (Basel). 2020.
PMID: 32722082
Free PMC article.
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