Literatura académica sobre el tema "Biomedical Microwave Imaging"
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Artículos de revistas sobre el tema "Biomedical Microwave Imaging"
Rafique, Umair, Stefano Pisa, Renato Cicchetti, Orlandino Testa y Marta Cavagnaro. "Ultra-Wideband Antennas for Biomedical Imaging Applications: A Survey". Sensors 22, n.º 9 (22 de abril de 2022): 3230. http://dx.doi.org/10.3390/s22093230.
Texto completoBorra, Vamsi, Srikanth Itapu, Joao Garretto, Ronald Yarwood, Gina Morrison, Pedro Cortes, Eric MacDonald y Frank Li. "3D Printed Dual-Band Microwave Imaging Antenna". ECS Transactions 107, n.º 1 (24 de abril de 2022): 8631–39. http://dx.doi.org/10.1149/10701.8631ecst.
Texto completoKurdyanto, Rachmat Agus, Nurhayati Nurhayati, Puput Wanarti Rusimamto y Farid Baskoro. "STUDY COMPARATIVE OF ANTENNA FOR MICROWAVE IMAGING APPLICATIONS". INAJEEE Indonesian Journal of Electrical and Eletronics Engineering 3, n.º 2 (28 de agosto de 2020): 41. http://dx.doi.org/10.26740/inajeee.v3n2.p41-47.
Texto completoGopalakrishnan, Keerthy, Aakriti Adhikari, Namratha Pallipamu, Mansunderbir Singh, Tasin Nusrat, Sunil Gaddam, Poulami Samaddar et al. "Applications of Microwaves in Medicine Leveraging Artificial Intelligence: Future Perspectives". Electronics 12, n.º 5 (23 de febrero de 2023): 1101. http://dx.doi.org/10.3390/electronics12051101.
Texto completoLiu, Siyu, Ruochong Zhang, Zesheng Zheng y Yuanjin Zheng. "Electromagnetic–Acoustic Sensing for Biomedical Applications". Sensors 18, n.º 10 (21 de septiembre de 2018): 3203. http://dx.doi.org/10.3390/s18103203.
Texto completoCui, Yongsheng, Chang Yuan y Zhong Ji. "A review of microwave-induced thermoacoustic imaging: Excitation source, data acquisition system and biomedical applications". Journal of Innovative Optical Health Sciences 10, n.º 04 (29 de mayo de 2017): 1730007. http://dx.doi.org/10.1142/s1793545817300075.
Texto completoZhang, Z. Q. y Q. H. Liu. "Three-Dimensional Nonlinear Image Reconstruction for Microwave Biomedical Imaging". IEEE Transactions on Biomedical Engineering 51, n.º 3 (marzo de 2004): 544–48. http://dx.doi.org/10.1109/tbme.2003.821052.
Texto completoCostanzo, S. y G. Lopez. "Phaseless Single-Step Microwave Imaging Technique for Biomedical Applications". Radioengineering 27, n.º 3 (13 de septiembre de 2019): 512–16. http://dx.doi.org/10.13164/re.2019.0512.
Texto completoMojabi, P. y J. LoVetri. "Microwave Biomedical Imaging Using the Multiplicative Regularized Gauss--Newton Inversion". IEEE Antennas and Wireless Propagation Letters 8 (2009): 645–48. http://dx.doi.org/10.1109/lawp.2009.2023602.
Texto completoMojabi, P. y J. LoVetri. "Enhancement of the Krylov Subspace Regularization for Microwave Biomedical Imaging". IEEE Transactions on Medical Imaging 28, n.º 12 (diciembre de 2009): 2015–19. http://dx.doi.org/10.1109/tmi.2009.2027703.
Texto completoTesis sobre el tema "Biomedical Microwave Imaging"
Henriksson, Tommy. "CONTRIBUTION TO QUANTITATIVE MICROWAVE IMAGING TECHNIQUES FOR BIOMEDICAL APPLICATIONS". Doctoral thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-5882.
Texto completoA dissertation prepared through an international convention for a joint supervision thesis with Université Paris-SUD 11, France
Microwaves in biomedicine
Petrović, Nikola. "Measurement System for Microwave Imaging Towards a Biomedical Application". Doctoral thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-24878.
Texto completoGuardiola, Garcia Marta. "Multi-antenna multi-frequency microwave imaging systems for biomedical applications". Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/134967.
Texto completoLiew, Soo Chin. "Thermoacoustic emission induced by deeply penetrating radiation and its application to biomedical imaging". Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184783.
Texto completoKawoos, Usmah Rosen Arye. "Embedded wireless intracranial pressure monitoring implant at microwave frequencies /". Philadelphia, Pa. : Drexel University, 2009. http://hdl.handle.net/1860/3034.
Texto completoIslam, Md Asiful. "Efficient Microwave Imaging Algorithms with On-Body Sensors for Real-Time Biomedical Detection and Monitoring". The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1502906869993589.
Texto completoKu, Geng. "Photoacoustic and thermoacoustic tomography: system development for biomedical applications". Texas A&M University, 2004. http://hdl.handle.net/1969.1/3181.
Texto completoGhavami, Navid. "Ultra-wideband imaging techniques for medical applications". Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:6f590d26-ee7c-41d7-a89b-393c864c9d82.
Texto completoQin, Yingying. "Early breast anomalies detection with microwave and ultrasound modalities". Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG058.
Texto completoImaging of the breast for early detec-tion of tumors is studied by associating microwave (MW) and ultrasound (US) data. No registration is enforced since a free pending breast is tackled. A 1st approach uses prior information on tissue boundaries yielded from US reflection data. Regularization incorporates that two neighboring pixels should exhibit similar MW properties when not on a boundary while a jump allowed otherwise. This is enforced in the distorted Born iterative and the contrast source inversion methods. A 2nd approach involves deterministic edge preserving regularization via auxiliary variables indicating if a pixel is on an edge or not, edge markers being shared by MW and US parameters. Those are jointly optimized from the last parameter profiles and guide the next optimization as regularization term coefficients. Alternate minimization is to update US contrast, edge markers and MW contrast. A 3rd approach involves convolutional neural networks. Estimated contrast current and scattered field are the inputs. A multi-stream structure is employed to feed MW and US data. The network outputs the maps of MW and US parameters to perform real-time. Apart from the regression task, a multi-task learning strategy is used with a classifier that associates each pixel to a tissue type to yield a segmentation image. Weighted loss assigns a higher penalty to pixels in tumors when wrongly classified. A 4th approach involves a Bayesian formalism where the joint posterior distribution is obtained via Bayes’ rule; this true distribution is then approximated by a free-form separable law for each set of unknowns to get the estimate sought. All those solution methods are illustrated and compared from a wealth of simulated data on simple synthetic models and on 2D cross-sections of anatomically-realistic MRI-derived numerical breast phantoms in which small artificial tumors are inserted
Kaye, Cameron Jon. "Development and calibration of microwave tomography imaging systems for biomedical applications using computational electromagnetics". 2009. http://hdl.handle.net/1993/21477.
Texto completoLibros sobre el tema "Biomedical Microwave Imaging"
Arye, Rosen y Rosen Harel D, eds. New frontiers in medical device technology. New York: Wiley, 1995.
Buscar texto completo(Editor), Peter Török y Fu-Jen Kao (Editor), eds. Optical Imaging and Microscopy: Techniques and Advanced Systems (Springer Series in Optical Sciences) (Springer Series in Optical Sciences). 2a ed. Springer, 2007.
Buscar texto completoCapítulos de libros sobre el tema "Biomedical Microwave Imaging"
Kikkawa, Takamaro, Hang Song, Koji Arihiro y Shinsuke Sasada. "Microwave Imaging for Breast Cancer Screening". En Biomedical Engineering, 171–211. New York: Jenny Stanford Publishing, 2021. http://dx.doi.org/10.1201/9781003141945-10.
Texto completoJayanthy, Maniam, N. Selvanathan, M. Abu-Bakar, D. Smith, H. M. Elgabroun, P. M. Yeong y S. Senthil Kumar. "Microwave Holographic Imaging Technique for Tumour Detection". En 3rd Kuala Lumpur International Conference on Biomedical Engineering 2006, 275–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-68017-8_71.
Texto completoBrito-Filho, F. A., D. Carvalho y W. A. M. V. Noije. "Near Field Radar System Modeling for Microwave Imaging and Breast Cancer Detection Applications". En XXVII Brazilian Congress on Biomedical Engineering, 1009–15. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-70601-2_150.
Texto completoMarganakop, Sheetal, Pramod Kattimani, Sudha Belgur Satyanarayana y Ravindra Kamble. "Microwave Synthesized Functional Dyes". En Microwave Heating - Electromagnetic Fields Causing Thermal and Non-Thermal Effects. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.94946.
Texto completo"Compressive Sensing Based Holographic Microwave Imaging". En Electromagnetic Induction Imaging: Theory and Biomedical Applications, 73–96. ASME Press, 2019. http://dx.doi.org/10.1115/1.860465_ch5.
Texto completoM. Meaney, Paul y Keith D. Paulsen. "Theoretical Premises and Contemporary Optimizations of Microwave Tomography". En Microwave Technologies [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.103011.
Texto completoAlthubitat Al Amro, Wasan H. y Boon-Chong Seet. "Review of practical antennas for microwave and millimetre-wave medical imaging". En Electromagnetic Waves and Antennas for Biomedical Applications, 185–207. Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/pbhe033e_ch6.
Texto completoKatoch, G. "Recent Advances in Processing, Characterizations and Biomedical Applications of Spinel Ferrite Nanoparticles". En Materials Research Foundations, 62–120. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901595-2.
Texto completoActas de conferencias sobre el tema "Biomedical Microwave Imaging"
Bialkowski, K. S., J. Marimuthu y A. M. Abbosh. "Low-cost microwave biomedical imaging". En 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA). IEEE, 2016. http://dx.doi.org/10.1109/iceaa.2016.7731494.
Texto completoAbubakar, Aria, Peter M. van den Berg y Jordi J. Mallorqui. "Full nonlinear inversion of microwave biomedical data". En Medical Imaging 2002, editado por Milan Sonka y J. Michael Fitzpatrick. SPIE, 2002. http://dx.doi.org/10.1117/12.467226.
Texto completoOzgun, Ozlem y Mustafa Kuzuoglu. "A microwave imaging model for biomedical applications". En 2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2017. http://dx.doi.org/10.1109/apusncursinrsm.2017.8073229.
Texto completoWang, Lulu. "An Improved Holographic Microwave Breast Imaging Based on Deep Neural Network". En ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10910.
Texto completoZeng, Xuezhi, Albert Monteith, Andreas Fhager, Mikael Persson y Herbert Zirath. "Time domain microwave imaging system for biomedical applications". En 2016 46th European Microwave Conference (EuMC). IEEE, 2016. http://dx.doi.org/10.1109/eumc.2016.7824434.
Texto completoStancombe, Anthony E. y Konstanty S. Bialkowski. "Portable Biomedical Microwave Imaging Using Software- Defined Radio". En 2018 Asia-Pacific Microwave Conference (APMC). IEEE, 2018. http://dx.doi.org/10.23919/apmc.2018.8617306.
Texto completoDaryoush, A. S., K. Pourrezaei, K. Izzetoglu, E. Papazoglou, L. Zubkov y B. Onaral. "Microwave Photonics applied to fNIR based biomedical imaging?" En LEOS 2009 -22nd Annuall Meeting of the IEEE Lasers and Electro-Optics Society (LEO). IEEE, 2009. http://dx.doi.org/10.1109/leos.2009.5343362.
Texto completoChang, Dau-Chyrh, Li-Der Fang, Wen-Hsien Fang y Chih-Hung Lee. "Tradeoff study of microwave imaging for biomedical application". En 2013 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO). IEEE, 2013. http://dx.doi.org/10.1109/imws-bio.2013.6756257.
Texto completoMojabi, Pedram y Joe LoVetri. "Microwave and ultrasound imaging for biomedical tissue identification". En 2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium). IEEE, 2014. http://dx.doi.org/10.1109/usnc-ursi.2014.6955438.
Texto completoLoVetri, Joe, Puyan Mojabi, Amer Zakaria, Majid Ostadrahimi y Ian Jeffrey. "System and formulation options for biomedical microwave imaging". En 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS). IEEE, 2014. http://dx.doi.org/10.1109/ursigass.2014.6930130.
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