Yang, 2017, Quantitative proteomics and immunohistochemistry reveal insights into cellular and molecular processes in the infarct border zone one month after myocardial infarction, J. Proteome Res., 16, 2101, 10.1021/acs.jproteome.7b00107
Bui, 2011, Epidemiology and risk profile of heart failure, Nat. Rev. Cardiol., 8, 30, 10.1038/nrcardio.2010.165
Kang, 2016, Strategy to prime the host and cells to augment therapeutic efficacy of progenitor cells for patients with myocardial infarction, Front. Cardiovasc. Med., 3, 1, 10.3389/fcvm.2016.00046
Duran, 2012, A characterization and targeting of the infarct border zone in a swine model of myocardial infarction, Clin. Transl. Sci., 5, 416, 10.1111/j.1752-8062.2012.00432.x
Greco, 2012, Ultrasound biomicroscopy in small animal research: applications in molecular and preclinical imaging, J. Biomed. Biotechnol.
Brenner, 2007, Computed tomography — an increasing source of radiation exposure, N. Engl. J. Med., 357, 2277, 10.1056/NEJMra072149
Hann, 2021, Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping, Med. Image Anal., 71, 10.1016/j.media.2021.102029
Yao, 2015, Multiscale photoacoustic tomography using reversibly switchable bacterial phytochrome as a near-infrared photochromic probe, Nat. Methods, 13, 67, 10.1038/nmeth.3656
Li, 2017, Single-impulse panoramic photoacoustic computed tomography of small-animal whole-body dynamics at high spatiotemporal resolution, Nat. Biomed. Eng., 1, 10.1038/s41551-017-0071
Kruger, 2010, Photoacoustic angiography of the breast, Med. Phys., 37, 6096, 10.1118/1.3497677
Wang, 2003, Noninvasive laser-induced photoacoustic tomography for structural and functional in vivo imaging of the brain, Nat. Biotechnol., 21, 803, 10.1038/nbt839
Wang, 2012, Photoacoustic tomography: in vivo imaging from organelles to organs, Sci. (80-. ), 335, 1458, 10.1126/science.1216210
Xu, 2014, The functional pitch of an organ: quantification of tissue texture with photoacoustic spectrum analysis, Radiology, 271, 248, 10.1148/radiol.13130777
Feng, 2015, Characterization of bone microstructure using photoacoustic spectrum analysis, Opt. Express, 23, 25217, 10.1364/OE.23.025217
Zhang, 2021, Photoacoustic power azimuth spectrum for microvascular evaluation, Photoacoustics, 22, 10.1016/j.pacs.2021.100260
Xie, 2021, Wavelet transform-based photoacoustic time-frequency spectral analysis for bone assessment, Photoacoustics, 22, 10.1016/j.pacs.2021.100259
S. Wu, Y. Chen, S. Huang, C. Xu, D. Wu, Q. Cheng, Photoacoustic Spectrum Analysis for Quick Identification and Grading of Prostate Cancer, in: 2020 IEEE International Ultrasonics Symposium (IUS), IEEE, Las Vegas, NV, USA, (2020) 1–4.
Chen, 2021, Prostate cancer identification via photoacoustic spectroscopy and machine learning, Photoacoustics, 23, 10.1016/j.pacs.2021.100280
Huang, 2018, Interstitial assessment of aggressive prostate cancer by physio-chemical photoacoustics: an ex vivo study with intact human prostates, Med. Phys., 45, 4125, 10.1002/mp.13061
Lv, 2018, Hemispherical photoacoustic imaging of myocardial infarction: in vivo detection and monitoring, Eur. Radiol., 28, 2176, 10.1007/s00330-017-5209-x
Humeres, 2019, Fibroblasts in the infarcted, remodeling, and failing heart, JACC Basic Transl. Sci., 4, 449, 10.1016/j.jacbts.2019.02.006
Wood, 2019, Photoacoustic-based oxygen saturation assessment of murine femoral bone marrow in a preclinical model of leukemia, Photoacoustics, 14, 31, 10.1016/j.pacs.2019.01.003
G. Xu, L.A. Johnson, J. Hu, J.R. Dillman, P.D.R. Higgins, X. Wang, Detecting inflammation and fibrosis in bowel wall with photoacoustic imaging in a Crohn’s disease animal model, in: A.A. Oraevsky, L.V. Wang (Eds.), San Francisco, California, United States, 2015: p. 932347. 〈https://doi.org/10.1117/12.2077634〉.
Xu, 2016, High resolution physio-chemical tissue analysis: towards non-invasive in vivo biopsy, Sci. Rep., 6, 16937, 10.1038/srep16937
Ting Feng, 2021, Detection of collagen by multi-wavelength photoacoustic analysis as a biomarker for bone health assessment, Photoacoustics, 24
Ting Feng, 2022, Characterization of multi-biomarkers for bone health assessment based on photoacoustic physicochemical analysis method, Photoacoustics, 25
Huang, 2021, A perfusable, multifunctional epicardial device improves cardiac function and tissue repair, Nat. Med., 27, 480, 10.1038/s41591-021-01279-9
Xu, 2006, Photoacoustic imaging in biomedicine, Rev. Sci. Instrum., 77, 10.1063/1.2195024
Cox, 2012, Quantitative spectroscopic photoacoustic imaging: a review, J. Biomed. Opt., 17, 10.1117/1.JBO.17.6.061202
Feng, 2020, Functional photoacoustic and ultrasonic assessment of osteoporosis: a clinical feasibility study, BME Front. 2020, 1
Juniper, 2010, Development and validation of a questionnaire to measure asthma control, Eur. Respir. J., 14, 902, 10.1034/j.1399-3003.1999.14d29.x
Landis, 1977, The measurement of observer agreement for categorical data, Biometrics, 33, 159, 10.2307/2529310
Zhu, 2018, "Identifying intestinal fibrosis and inflammation by spectroscopic photoacoustic imaging: an animal study in vivo,", Biomed. Opt. Express, 9, 1590, 10.1364/BOE.9.001590
Wang, 2011, Label-free bond-selective imaging by listening to vibrationally excited molecules, Phys. Rev. Lett., 106
Suranyi, 2018, Myocardial tissue characterization by combining late gadolinium enhancement imaging and percent edema mapping: a novel T2 map-based MRI method in canine myocardial infarction, Eur. Radiol. Exp., 2, 10.1186/s41747-018-0037-6
Everingham, 2009, The pascal visual object classes (VOC) challenge, Int. J. Comput. Vis. 2009 882, 88, 303
Hu, 2009, Functional transcranial brain imaging by optical-resolution photoacoustic microscopy, J. Biomed. Opt., 14, 10.1117/1.3194136