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3D genomic mapping reveals multifocality of human pancreatic precancers.
Nature. 2024 May;629(8012):679-687. doi: 10.1038/s41586-024-07359-3. Epub 2024 May 1.
Nature. 2024.
PMID: 38693266
Three-dimensional genomic mapping of human pancreatic tissue reveals striking multifocality and genetic heterogeneity in precancerous lesions.
Braxton AM, Kiemen AL, Grahn MP, Forjaz A, Babu JM, Zheng L, Jiang L, Cheng H, Song Q, Reichel R, Graham S, Damanakis AI, Fischer CG, Mou S, Metz C, Granger J, Liu XD, Bachmann N, Almagro-Pérez C, Jiang AC, Yoo J, Kim B, Du S, Foster E, Hsu JY, Rivera PA, Chu LC, Liu F, Niknafs N, Fishman EK, Yuille A, Roberts NJ, Thompson ED, Scharpf RB, Cornish TC, Jiao Y, Karchin R, Hruban RH, Wu PH, Wirtz D, Wood LD.
Braxton AM, et al. Among authors: liu f.
bioRxiv [Preprint]. 2023 Jan 28:2023.01.27.525553. doi: 10.1101/2023.01.27.525553.
bioRxiv. 2023.
PMID: 36747709
Free PMC article.
Preprint.
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Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.
Xia Y, Yang D, Yu Z, Liu F, Cai J, Yu L, Zhu Z, Xu D, Yuille A, Roth H.
Xia Y, et al. Among authors: liu f.
Med Image Anal. 2020 Oct;65:101766. doi: 10.1016/j.media.2020.101766. Epub 2020 Jun 27.
Med Image Anal. 2020.
PMID: 32623276
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External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data.
Zhou Y, Dreizin D, Wang Y, Liu F, Shen W, Yuille AL.
Zhou Y, et al. Among authors: liu f.
IEEE Trans Med Imaging. 2022 Jun;41(6):1346-1357. doi: 10.1109/TMI.2021.3139637. Epub 2022 Jun 1.
IEEE Trans Med Imaging. 2022.
PMID: 34968179
Free PMC article.
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Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience.
Chu LC, Park S, Kawamoto S, Wang Y, Zhou Y, Shen W, Zhu Z, Xia Y, Xie L, Liu F, Yu Q, Fouladi DF, Shayesteh S, Zinreich E, Graves JS, Horton KM, Yuille AL, Hruban RH, Kinzler KW, Vogelstein B, Fishman EK.
Chu LC, et al. Among authors: liu f.
J Am Coll Radiol. 2019 Sep;16(9 Pt B):1338-1342. doi: 10.1016/j.jacr.2019.05.034.
J Am Coll Radiol. 2019.
PMID: 31492412
No abstract available.
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