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Leng X , Uddin KMS , Chapman W Jr , Luo H , Kou S , Amidi E , Yang G , Chatterjee D , Shetty A , Hunt S , Mutch M , Zhu Q . Assessing Rectal Cancer Treatment Response Using Coregistered Endorectal Photoacoustic and US Imaging Paired with Deep Learning. Radiology 2021;299 :349-58. [PMID: 33754826 DOI: 10.1148/radiol.2021202208 ] [ Cited by in Crossref: 1] [ Cited by in F6Publishing: 2 ] [ Article Influence: 1.0 ] [ Reference Citation Analysis ]
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Citing Articles
1
Klibanov AL . High-Precision Assessment of Chemoradiotherapy of Rectal Cancer with Near-Infrared Photoacoustic Microscopy and Deep Learning. Radiology 2021;299 :359-61. [PMID: 33759582 DOI: 10.1148/radiol.2021210261 ] [ Reference Citation Analysis ]
2
Rajendran P , Sharma A, Pramanik M. Photoacoustic imaging aided with deep learning: a review. Biomed Eng Lett . [DOI: 10.1007/s13534-021-00210-y ] [ Reference Citation Analysis ]
3
Leng X , Amidi E , Kou S , Cheema H , Otegbeye E , Chapman WJ , Mutch M , Zhu Q . Rectal Cancer Treatment Management: Deep-Learning Neural Network Based on Photoacoustic Microscopy Image Outperforms Histogram-Feature-Based Classification. Front Oncol 2021;11 :715332. [PMID: 34631543 DOI: 10.3389/fonc.2021.715332 ] [ Reference Citation Analysis ]
4
Wang Z , Yang F, Cheng Z, Zhang W, Xiong K, Yang S. Photoacoustic-guided photothermal therapy by mapping of tumor microvasculature and nanoparticle. Nanophotonics 2021;10 :3359-68. [DOI: 10.1515/nanoph-2021-0198 ] [ Cited by in Crossref: 3] [ Article Influence: 3.0 ] [ Reference Citation Analysis ]
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