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Статті в журналах з теми "Computational methods in biomedical optical imaging"
Liu, Xueyan, Dong Peng, Wei Guo, Xibo Ma, Xin Yang, and Jie Tian. "Compressed Sensing Photoacoustic Imaging Based on Fast Alternating Direction Algorithm." International Journal of Biomedical Imaging 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/206214.
Повний текст джерелаLaurino, Annunziatina, Alessandra Franceschini, Luca Pesce, Lorenzo Cinci, Alberto Montalbano, Giacomo Mazzamuto, Giuseppe Sancataldo, et al. "A Guide to Perform 3D Histology of Biological Tissues with Fluorescence Microscopy." International Journal of Molecular Sciences 24, no. 7 (April 4, 2023): 6747. http://dx.doi.org/10.3390/ijms24076747.
Повний текст джерелаZaitsev, Vladimir Y., Sergey Y. Ksenofontov, Alexander A. Sovetsky, Alexander L. Matveyev, Lev A. Matveev, Alexey A. Zykov, and Grigory V. Gelikonov. "Real-Time Strain and Elasticity Imaging in Phase-Sensitive Optical Coherence Elastography Using a Computationally Efficient Realization of the Vector Method." Photonics 8, no. 12 (November 24, 2021): 527. http://dx.doi.org/10.3390/photonics8120527.
Повний текст джерелаSridhar, Chethana, Piyush Kumar Pareek, R. Kalidoss, Sajjad Shaukat Jamal, Prashant Kumar Shukla, and Stephen Jeswinde Nuagah. "Optimal Medical Image Size Reduction Model Creation Using Recurrent Neural Network and GenPSOWVQ." Journal of Healthcare Engineering 2022 (February 26, 2022): 1–8. http://dx.doi.org/10.1155/2022/2354866.
Повний текст джерелаHauptman, Ami, Ganesh M. Balasubramaniam, and Shlomi Arnon. "Machine Learning Diffuse Optical Tomography Using Extreme Gradient Boosting and Genetic Programming." Bioengineering 10, no. 3 (March 21, 2023): 382. http://dx.doi.org/10.3390/bioengineering10030382.
Повний текст джерелаJiang, Yuan, Hao Sha, Shuai Liu, Peiwu Qin, and Yongbing Zhang. "AutoUnmix: an autoencoder-based spectral unmixing method for multi-color fluorescence microscopy imaging." Biomedical Optics Express 14, no. 9 (August 22, 2023): 4814. http://dx.doi.org/10.1364/boe.498421.
Повний текст джерелаAkman, Ozgur E., Steven Watterson, Andrew Parton, Nigel Binns, Andrew J. Millar, and Peter Ghazal. "Digital clocks: simple Boolean models can quantitatively describe circadian systems." Journal of The Royal Society Interface 9, no. 74 (April 12, 2012): 2365–82. http://dx.doi.org/10.1098/rsif.2012.0080.
Повний текст джерелаMostaço-Guidolin, Leila B., Michael S. D. Smith, Mark Hewko, Bernie Schattka, Michael G. Sowa, Arkady Major, and Alex C. T. Ko. "Fractal dimension and directional analysis of elastic and collagen fiber arrangement in unsectioned arterial tissues affected by atherosclerosis and aging." Journal of Applied Physiology 126, no. 3 (March 1, 2019): 638–46. http://dx.doi.org/10.1152/japplphysiol.00497.2018.
Повний текст джерелаZhang, Huiting, Dong-Hee Kang, Marie Piantino, Daisuke Tominaga, Takashi Fujimura, Noriyuki Nakatani, J. Nicholas Taylor, Tomomi Furihata, Michiya Matsusaki, and Satoshi Fujita. "Rapid Quantification of Microvessels of Three-Dimensional Blood–Brain Barrier Model Using Optical Coherence Tomography and Deep Learning Algorithm." Biosensors 13, no. 8 (August 15, 2023): 818. http://dx.doi.org/10.3390/bios13080818.
Повний текст джерелаChen, Duan, Guo-Wei Wei, Wen-Xiang Cong, and Ge Wang. "Computational methods for optical molecular imaging." Communications in Numerical Methods in Engineering 25, no. 12 (December 2009): 1137–61. http://dx.doi.org/10.1002/cnm.1164.
Повний текст джерелаДисертації з теми "Computational methods in biomedical optical imaging"
Birch, Gabriel C. "Computational and Design Methods for Advanced Imaging." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/242355.
Повний текст джерелаBalagopal, Bavishna. "Advanced methods for enhanced sensing in biomedical Raman spectroscopy." Thesis, University of St Andrews, 2014. http://hdl.handle.net/10023/6343.
Повний текст джерелаJones, Cameron Christopher. "VALIDATION OF COMPUTATIONAL FLUID DYNAMIC SIMULATIONS OF MEMBRANE ARTIFICIAL LUNGS WITH X-RAY IMAGING." UKnowledge, 2012. http://uknowledge.uky.edu/cbme_etds/2.
Повний текст джерелаMontejo, Ludguier. "Computational Methods For The Diagnosis of Rheumatoid Arthritis With Diffuse Optical Tomography." Thesis, 2014. https://doi.org/10.7916/D8NS0S0C.
Повний текст джерелаRavi, Prasad K. J. "Development of Efficient Computational Methods for Better Estimation of Optical Properties in Diffuse Optical Tomography." Thesis, 2013. http://etd.iisc.ac.in/handle/2005/3311.
Повний текст джерелаRavi, Prasad K. J. "Development of Efficient Computational Methods for Better Estimation of Optical Properties in Diffuse Optical Tomography." Thesis, 2013. http://etd.iisc.ernet.in/2005/3311.
Повний текст джерелаGutta, Sreedevi. "Improving photoacoustic imaging with model compensating and deep learning methods." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4390.
Повний текст джерелаNarayana, Swamy Yamuna. "Studies on Kernel Based Edge Detection an Hyper Parameter Selection in Image Restoration and Diffuse Optical Image Reconstruction." Thesis, 2017. http://etd.iisc.ac.in/handle/2005/3615.
Повний текст джерелаNarayana, Swamy Yamuna. "Studies on Kernel Based Edge Detection an Hyper Parameter Selection in Image Restoration and Diffuse Optical Image Reconstruction." Thesis, 2017. http://etd.iisc.ernet.in/2005/3615.
Повний текст джерелаHarmany, Zachary Taylor. "Computational Optical Imaging Systems: Sensing Strategies, Optimization Methods, and Performance Bounds." Diss., 2012. http://hdl.handle.net/10161/6135.
Повний текст джерелаThe emerging theory of compressed sensing has been nothing short of a revolution in signal processing, challenging some of the longest-held ideas in signal processing and leading to the development of exciting new ways to capture and reconstruct signals and images. Although the theoretical promises of compressed sensing are manifold, its implementation in many practical applications has lagged behind the associated theoretical development. Our goal is to elevate compressed sensing from an interesting theoretical discussion to a feasible alternative to conventional imaging, a significant challenge and an exciting topic for research in signal processing. When applied to imaging, compressed sensing can be thought of as a particular case of computational imaging, which unites the design of both the sensing and reconstruction of images under one design paradigm. Computational imaging tightly fuses modeling of scene content, imaging hardware design, and the subsequent reconstruction algorithms used to recover the images.
This thesis makes important contributions to each of these three areas through two primary research directions. The first direction primarily attacks the challenges associated with designing practical imaging systems that implement incoherent measurements. Our proposed snapshot imaging architecture using compressive coded aperture imaging devices can be practically implemented, and comes equipped with theoretical recovery guarantees. It is also straightforward to extend these ideas to a video setting where careful modeling of the scene can allow for joint spatio-temporal compressive sensing. The second direction develops a host of new computational tools for photon-limited inverse problems. These situations arise with increasing frequency in modern imaging applications as we seek to drive down image acquisition times, limit excitation powers, or deliver less radiation to a patient. By an accurate statistical characterization of the measurement process in optical systems, including the inherent Poisson noise associated with photon detection, our class of algorithms is able to deliver high-fidelity images with a fraction of the required scan time, as well as enable novel methods for tissue quantification from intraoperative microendoscopy data. In short, the contributions of this dissertation are diverse, further the state-of-the-art in computational imaging, elevate compressed sensing from an interesting theory to a practical imaging methodology, and allow for effective image recovery in light-starved applications.
Dissertation
Книги з теми "Computational methods in biomedical optical imaging"
V, Tuchin V., ed. Handbook of optical biomedical diagnostics. Bellingham: SPIE Press, 2002.
Знайти повний текст джерелаHandbook of optical biomedical diagnostics. Bellingham, Washington: SPIE Press, 2016.
Знайти повний текст джерелаTavares, João Manuel R. S., and Paulo Rui Fernandes, eds. New Developments on Computational Methods and Imaging in Biomechanics and Biomedical Engineering. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23073-9.
Повний текст джерелаV, Tuchin V., Izatt Joseph A, Fujimoto James G, and Society of Photo-optical Instrumentation Engineers., eds. Coherence domain optical methods in biomedical science and clinical applications V: 23-24 January 2001, San Jose, USA. Bellingham, Wash., USA: SPIE, 2001.
Знайти повний текст джерелаLi, Xingde, Qingming Luo, and Gu Ying. Optics in health care and biomedical optics IV: 18-20 October 2010, Beijing, China. Edited by SPIE (Society), Zhongguo guang xue xue hui, Beijing gong ye xue yuan, Zhongguo ke xue ji shu xie hui, Guo jia zi ran ke xue ji jin wei yuan hui (China), and China. Guo jia ke xue ji shu bu. Bellingham, Wash: SPIE, 2010.
Знайти повний текст джерелаV, Tuchin V., Izatt Joseph A, Fujimoto James G, Society of Photo-optical Instrumentation Engineers., and International Biomedical Optics Society, eds. Coherence domain optical methods in biomedical science and clinical applications IV: 24-26 January 2000, San Jose, California. Bellingham, Wash., USA: SPIE, 2000.
Знайти повний текст джерелаV, Tuchin V., Izatt Joseph A, Fujimoto James G, and Society of Photo-optical Instrumentation Engineers., eds. Coherence domain optical methods in biomedical science and clinical applications VI: 21-23 January 2002, San Jose, USA. Bellingham, Wash: SPIE, 2002.
Знайти повний текст джерелаV, Tuchin V., Izatt Joseph A, Society of Photo-optical Instrumentation Engineers., and International Biomedical Optics Society, eds. Proceedings of coherence domain optical methods in biomedical science and clinical applications II: 27-28 January 1998, San Jose, California. Bellingham, Wash., USA: SPIE, 1998.
Знайти повний текст джерелаAntoni, Nowakowski, Kosmowski Bogdan B, Society of Photo-optical Instrumentation Engineers., Politechnika Gdańska. Katedra Inżynierii Biomedycznej., and Poland. Ministerstwo Nauki i Informatyzacji., eds. Optical methods, sensors, image processing, and visualization in medicine: 10-13 September, 2003, Gdansk, Poland. Bellingham, Wash: SPIE, 2004.
Знайти повний текст джерелаHandbook of biomedical optics. Boca Raton: CRC Press, 2011.
Знайти повний текст джерелаЧастини книг з теми "Computational methods in biomedical optical imaging"
Garini, Yuval, and Elad Tauber. "Spectral Imaging: Methods, Design, and Applications." In Biomedical Optical Imaging Technologies, 111–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28391-8_4.
Повний текст джерелаTavares, João Manuel R. S., and Paulo Rui Fernandes. "Correction to: New Developments on Computational Methods and Imaging in Biomechanics and Biomedical Engineering." In Lecture Notes in Computational Vision and Biomechanics, C1. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23073-9_11.
Повний текст джерелаLiu, Jianfei, Q. Jackie Wu, Fang-Fang Yin, John P. Kirkpatrick, Alvin Cabrera, and Yaorong Ge. "An Active Optical Flow Model for Dose Prediction in Spinal SBRT Plans." In Recent Advances in Computational Methods and Clinical Applications for Spine Imaging, 27–35. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14148-0_3.
Повний текст джерелаSevick-Muraca, Eva M. "[31] Computations of time-dependent photon migration for biomedical optical imaging." In Part B: Numerical Computer Methods, 748–81. Elsevier, 1994. http://dx.doi.org/10.1016/s0076-6879(94)40070-9.
Повний текст джерела"Medical Imaging Instrumentation and Techniques." In Computational Optical Biomedical Spectroscopy and Imaging, 381–408. CRC Press, 2015. http://dx.doi.org/10.1201/b18024-17.
Повний текст джерела"Developing a Comprehensive Taxonomy for Human Cell Types." In Computational Optical Biomedical Spectroscopy and Imaging, 143–72. CRC Press, 2015. http://dx.doi.org/10.1201/b18024-10.
Повний текст джерела"Functional Near-Infrared Spectroscopy and Its Applications in Neurosciences." In Computational Optical Biomedical Spectroscopy and Imaging, 173–94. CRC Press, 2015. http://dx.doi.org/10.1201/b18024-11.
Повний текст джерела"Computer-Aided Diagnosis of Interstitial Lung Diseases Based on Computed Tomography Image Analysis." In Computational Optical Biomedical Spectroscopy and Imaging, 195–220. CRC Press, 2015. http://dx.doi.org/10.1201/b18024-12.
Повний текст джерела"Induced Optical Natural Fluorescence Spectroscopy for Giardia lamblia Cysts." In Computational Optical Biomedical Spectroscopy and Imaging, 221–58. CRC Press, 2015. http://dx.doi.org/10.1201/b18024-13.
Повний текст джерела"Strong Interaction between Nanophotonic Structures for Their Applications on Optical Biomedical Spectroscopy and Imaging." In Computational Optical Biomedical Spectroscopy and Imaging, 259–80. CRC Press, 2015. http://dx.doi.org/10.1201/b18024-14.
Повний текст джерелаТези доповідей конференцій з теми "Computational methods in biomedical optical imaging"
Ripoll, Jorge, Vasilis Ntziachristos, and Eleftherios N. Economou. "Experimental demonstration of a fast analytical method for modeling photon propagation in diffusive media with arbitrary geometry." In European Conference on Biomedical Optics. Washington, D.C.: Optica Publishing Group, 2001. http://dx.doi.org/10.1364/ecbo.2001.4431_233.
Повний текст джерелаKim, Chang-Keun, Keong-Jin Lee, Dong-Choon Hwang, Seung-Cheol Kim, and Eun-Soo Kim. "IVR-based computational reconstruction method in three-dimensional integral imaging with non-uniform lens array." In Biomedical Optics. Washington, D.C.: OSA, 2008. http://dx.doi.org/10.1364/biomed.2008.jma1.
Повний текст джерелаShin, Dong-Hak, and Hoon Yoo. "3D image quality enhancement in computational integral imaging system by additional use of an interpolation method." In Biomedical Optics. Washington, D.C.: OSA, 2008. http://dx.doi.org/10.1364/biomed.2008.jma5.
Повний текст джерелаEspañol, Malena I., Suren Jayasuriya, and Mohit Malu. "Multilevel Methods for Imaging Applications." In Computational Optical Sensing and Imaging. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/cosi.2020.cth4c.1.
Повний текст джерелаSchultz, Christian. "The Potential of Optical Methods in Molecular Imaging." In Biomedical Topical Meeting. Washington, D.C.: OSA, 2006. http://dx.doi.org/10.1364/bio.2006.tub3.
Повний текст джерелаPaes, Stephane, Seon Young Ryu, Jihoon Na, Eun Seo Choi, and Byeong Ha Lee. "Application of iterative deconvolution methods for optical coherent imaging." In Biomedical Optics 2005, edited by Valery V. Tuchin, Joseph A. Izatt, and James G. Fujimoto. SPIE, 2005. http://dx.doi.org/10.1117/12.592876.
Повний текст джерелаOliveri, Giacomo, and Toshifumi Moriyama. "Compressive Sensing Methods Applied to Inverse Imaging Problems." In Computational Optical Sensing and Imaging. Washington, D.C.: OSA, 2014. http://dx.doi.org/10.1364/cosi.2014.cw2c.3.
Повний текст джерелаKaur, S., J. Gomez-Blanco, A. Khalifa, S. Adinarayanan, R. Sanchez-Garcia, D. Wrapp, J. S. McLellan, K. H. Bui, and J. Vargas. "Local methods to improve cryo-electron microcopy maps." In Computational Optical Sensing and Imaging. Washington, D.C.: OSA, 2021. http://dx.doi.org/10.1364/cosi.2021.ctu4b.3.
Повний текст джерелаJohnson, Gregory E., Ash K. Macon, and Goran M. Rauker. "Computational imaging design tools and methods." In Optical Science and Technology, the SPIE 49th Annual Meeting, edited by Jose M. Sasian, R. John Koshel, Paul K. Manhart, and Richard C. Juergens. SPIE, 2004. http://dx.doi.org/10.1117/12.558068.
Повний текст джерелаLepage, K., and S. Kraut. "Multitaper Methods for Spectrum Estimation with a Rotational Shear Interferometer." In Computational Optical Sensing and Imaging. Washington, D.C.: OSA, 2005. http://dx.doi.org/10.1364/cosi.2005.ctuc3.
Повний текст джерела