Journal articles on the topic 'Artificial magnetic resonance'
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Belyaev, Boris A., Andrey V. Izotov, Alexander A. Leksikov, Alexey M. Serzhantov, Konstantin V. Lemberg, and Platon N. Solovev. "Thin Magnetic Films with Artificial Texture on Substrate: Microwave Properties." Solid State Phenomena 215 (April 2014): 233–36. http://dx.doi.org/10.4028/www.scientific.net/ssp.215.233.
Full textHill, Charles E., Luca Biasiolli, Matthew D. Robson, Vicente Grau, and Michael Pavlides. "Emerging artificial intelligence applications in liver magnetic resonance imaging." World Journal of Gastroenterology 27, no. 40 (October 28, 2021): 6825–43. http://dx.doi.org/10.3748/wjg.v27.i40.6825.
Full textSolomou, Aikaterini, Anastasios Apostolos, and Nikolaos Ntoulias. "Artificial Intelligence in Magnetic Resonance Imaging: A Feasible Practice?" Journal of Medical Imaging and Radiation Sciences 51, no. 3 (September 2020): 501–2. http://dx.doi.org/10.1016/j.jmir.2020.04.010.
Full textSeetharam, Karthik, and Stamatios Lerakis. "Cardiac magnetic resonance imaging: the future is bright." F1000Research 8 (September 13, 2019): 1636. http://dx.doi.org/10.12688/f1000research.19721.1.
Full textSzarf, Gilberto, and Cesar H. Nomura. "APLICAÇÃO DA INTELIGÊNCIA ARTIFICIAL EM IMAGEM CARDIOVASCULAR: EM TOMOGRAFIA COMPUTADORIZADA E RMN." Revista da Sociedade de Cardiologia do Estado de São Paulo 32, no. 1 (January 15, 2022): 27–30. http://dx.doi.org/10.29381/0103-8559/2022320127-30.
Full textIonescu, Daniela, and Gabriela Apreotesei. "Wave absorption control in the new designed photonic metamaterials with artificial opal." MATEC Web of Conferences 178 (2018): 04004. http://dx.doi.org/10.1051/matecconf/201817804004.
Full textCau, Riccardo, Valeria Cherchi, Giulio Micheletti, Michele Porcu, Lorenzo Mannelli, Pierpaolo Bassareo, Jasjit S. Suri, and Luca Saba. "Potential Role of Artificial Intelligence in Cardiac Magnetic Resonance Imaging." Journal of Thoracic Imaging 36, no. 3 (March 24, 2021): 142–48. http://dx.doi.org/10.1097/rti.0000000000000584.
Full textCalivà, Francesco, Nikan K. Namiri, Maureen Dubreuil, Valentina Pedoia, Eugene Ozhinsky, and Sharmila Majumdar. "Studying osteoarthritis with artificial intelligence applied to magnetic resonance imaging." Nature Reviews Rheumatology 18, no. 2 (November 30, 2021): 112–21. http://dx.doi.org/10.1038/s41584-021-00719-7.
Full textMurphy, Matthew C., Armando Manduca, Joshua D. Trzasko, Kevin J. Glaser, John Huston, and Richard L. Ehman. "Artificial neural networks for stiffness estimation in magnetic resonance elastography." Magnetic Resonance in Medicine 80, no. 1 (November 28, 2017): 351–60. http://dx.doi.org/10.1002/mrm.27019.
Full textRajini N, Hema. "Automatic classification of MR brain tumor images using KNN, ANN, SVM and CNN." International research journal of engineering, IT & scientific research 3, no. 1 (January 31, 2017): 36–44. http://dx.doi.org/10.21744/irjeis.v3n1.895.
Full textWei, Jianqiang, Chunman Zhang, Liujia Ma, and Chunrui Zhang. "Artificial Intelligence Algorithm-Based Intraoperative Magnetic Resonance Navigation for Glioma Resection." Contrast Media & Molecular Imaging 2022 (March 4, 2022): 1–8. http://dx.doi.org/10.1155/2022/4147970.
Full textLiu, Shi Yang, Zhi Fang Lin, and S. T. Chui. "Controlling Electromagnetic Wave Based on Magnetic Metamaterials." Advances in Science and Technology 77 (September 2012): 237–45. http://dx.doi.org/10.4028/www.scientific.net/ast.77.237.
Full textZhang, Li Wei, Yuan Cheng Lou, Yu Huan Zhao, Qin Wang, Wen Tao Qiao, and Li Xin Li. "Subwavelength Plasmon Microcavity Based on the Indefinite Metamaterial Waveguide." Advanced Materials Research 217-218 (March 2011): 1392–97. http://dx.doi.org/10.4028/www.scientific.net/amr.217-218.1392.
Full textZheng, Zhiyan, Ruixuan He, Cuijun Lin, and Chunyu Huang. "Multimodal Magnetic Resonance Imaging to Diagnose Knee Osteoarthritis under Artificial Intelligence." Computational Intelligence and Neuroscience 2022 (June 23, 2022): 1–9. http://dx.doi.org/10.1155/2022/6488889.
Full textUmanska, Anna, Dmytro Melnychuk, Sergey Melnychuk, and Liliya Kalachniuk. "Magnetic Resonance and Coronarographic Study of Rat Heart During Artificial Hypobiosis." Problems of Cryobiology and Cryomedicine 29, no. 2 (June 25, 2019): 181. http://dx.doi.org/10.15407/cryo29.02.181.
Full textJOSEPH, PETER M., YUJI YUASA, HAROLD L. KUNDEL, BISWANATH MUKHERJI, and HENRY A. SLOVITER. "Magnetic Resonance Imaging of Fluorine in Rats Infused with Artificial Blood." Investigative Radiology 20, no. 5 (August 1985): 504–5. http://dx.doi.org/10.1097/00004424-198508000-00011.
Full textTandel, Gopal S., Antonella Balestrieri, Tanay Jujaray, Narender N. Khanna, Luca Saba, and Jasjit S. Suri. "Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm." Computers in Biology and Medicine 122 (July 2020): 103804. http://dx.doi.org/10.1016/j.compbiomed.2020.103804.
Full textShaikh, Aasef G. "A trail of artificial vestibular stimulation: electricity, heat, and magnet." Journal of Neurophysiology 108, no. 1 (July 1, 2012): 1–4. http://dx.doi.org/10.1152/jn.01169.2011.
Full textHuang, Bing, Yun Huang, Xin Ma, and Yuequn Chen. "Intelligent Algorithm-Based Magnetic Resonance for Evaluating the Effect of Platelet-Rich Plasma in the Treatment of Intractable Pain of Knee Arthritis." Contrast Media & Molecular Imaging 2022 (May 26, 2022): 1–11. http://dx.doi.org/10.1155/2022/9223928.
Full textCuriale, Ariel H., Facundo Cabrera, Pablo Jimenez, Jorgelina Medus, Germán Mato, and Matías Calandrelli. "Detection of Fibrosis in Cine Magnetic Resonance Images Using Artificial Intelligence Techniques." Revista Argentina de Cardiologia 90, no. 2 (April 17, 2022): 130–33. http://dx.doi.org/10.7775/rac.v90.i2.20504.
Full textMenhardt, Wido, and Karl-Heinrich Schmidt. "Computer vision on magnetic resonance images." Pattern Recognition Letters 8, no. 2 (September 1988): 73–85. http://dx.doi.org/10.1016/0167-8655(88)90049-9.
Full textArgentiero, Adriana, Giuseppe Muscogiuri, Mark G. Rabbat, Chiara Martini, Nicolò Soldato, Paolo Basile, Andrea Baggiano, et al. "The Applications of Artificial Intelligence in Cardiovascular Magnetic Resonance—A Comprehensive Review." Journal of Clinical Medicine 11, no. 10 (May 19, 2022): 2866. http://dx.doi.org/10.3390/jcm11102866.
Full textNelson, Chris R., Jessica Ekberg, and Kent Fridell. "Prostate Cancer Detection in Screening Using Magnetic Resonance Imaging and Artificial Intelligence." Open Artificial Intelligence Journal 6, no. 1 (March 20, 2020): 1–11. http://dx.doi.org/10.2174/1874061802006010001.
Full textZhang, Yudong, Lenan Wu, and Shuihua Wang. "MAGNETIC RESONANCE BRAIN IMAGE CLASSIFICATION BY AN IMPROVED ARTIFICIAL BEE COLONY ALGORITHM." Progress In Electromagnetics Research 116 (2011): 65–79. http://dx.doi.org/10.2528/pier11031709.
Full textEnriquez, José S., Yan Chu, Shivanand Pudakalakatti, Kang Lin Hsieh, Duncan Salmon, Prasanta Dutta, Niki Zacharias Millward, et al. "Hyperpolarized Magnetic Resonance and Artificial Intelligence: Frontiers of Imaging in Pancreatic Cancer." JMIR Medical Informatics 9, no. 6 (June 17, 2021): e26601. http://dx.doi.org/10.2196/26601.
Full textBoscolo Galazzo, Ilaria, Federica Cruciani, Lorenza Brusini, Ahmed Salih, Petia Radeva, Silvia Francesca Storti, and Gloria Menegaz. "Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges." IEEE Signal Processing Magazine 39, no. 2 (March 2022): 99–116. http://dx.doi.org/10.1109/msp.2021.3126573.
Full textPowell, Kerrington, Myung S. Kim, Alyson Haslam, and Vinay Prasad. "Artificial intelligence and magnetic resonance imaging may not make cancer screening better." Journal of Cancer Policy 31 (March 2022): 100314. http://dx.doi.org/10.1016/j.jcpo.2021.100314.
Full textDriscoll, T., G. O. Andreev, D. N. Basov, S. Palit, Tong Ren, Jack Mock, Sang-Yeon Cho, Nan Marie Jokerst, and D. R. Smith. "Quantitative investigation of a terahertz artificial magnetic resonance using oblique angle spectroscopy." Applied Physics Letters 90, no. 9 (February 26, 2007): 092508. http://dx.doi.org/10.1063/1.2679766.
Full textBhat, Himanshu, Balasrinivasa Rao Sajja, and Ponnada A. Narayana. "Fast quantification of proton magnetic resonance spectroscopic imaging with artificial neural networks." Journal of Magnetic Resonance 183, no. 1 (November 2006): 110–22. http://dx.doi.org/10.1016/j.jmr.2006.08.004.
Full textAbdul Jameel, Abdul Gani, Vincent Van Oudenhoven, Abdul-Hamid Emwas, and S. Mani Sarathy. "Predicting Octane Number Using Nuclear Magnetic Resonance Spectroscopy and Artificial Neural Networks." Energy & Fuels 32, no. 5 (April 17, 2018): 6309–29. http://dx.doi.org/10.1021/acs.energyfuels.8b00556.
Full textScott, Jonathan M., Arvin Arani, Armando Manduca, Kiaran P. McGee, Joshua D. Trzasko, John Huston, Richard L. Ehman, and Matthew C. Murphy. "Artificial neural networks for magnetic resonance elastography stiffness estimation in inhomogeneous materials." Medical Image Analysis 63 (July 2020): 101710. http://dx.doi.org/10.1016/j.media.2020.101710.
Full textMAZOV, L. S. "STRIPES, PSEUDOGAP AND SC-SDW RESONANCE IN HTSC PEROVSKITES." International Journal of Modern Physics B 14, no. 29n31 (December 20, 2000): 3577–83. http://dx.doi.org/10.1142/s0217979200003654.
Full textPhoenix, V. R., W. M. Holmes, and B. Ramanan. "Magnetic resonance imaging (MRI) of heavy-metal transport and fate in an artificial biofilm." Mineralogical Magazine 72, no. 1 (February 2008): 483–86. http://dx.doi.org/10.1180/minmag.2008.072.1.483.
Full textChiusano, Gabriele, Alessandra Staglianò, Curzio Basso, and Alessandro Verri. "Unsupervised tissue segmentation from dynamic contrast-enhanced magnetic resonance imaging." Artificial Intelligence in Medicine 61, no. 1 (May 2014): 53–61. http://dx.doi.org/10.1016/j.artmed.2014.02.001.
Full textGonzález-Villà, Sandra, Arnau Oliver, Sergi Valverde, Liping Wang, Reyer Zwiggelaar, and Xavier Lladó. "A review on brain structures segmentation in magnetic resonance imaging." Artificial Intelligence in Medicine 73 (October 2016): 45–69. http://dx.doi.org/10.1016/j.artmed.2016.09.001.
Full textKehtarnavaz, N., M. Chung, L. A. Hayman, and R. E. Wendt III. "Magnetic Resonance Image Segmentation by Contextual Fuzzy Clustering." Journal of Intelligent and Fuzzy Systems 1, no. 4 (1993): 295–305. http://dx.doi.org/10.3233/ifs-1993-1404.
Full textBhalodiya, Jayendra M., Sarah N. Lim Choi Keung, and Theodoros N. Arvanitis. "Magnetic resonance image-based brain tumour segmentation methods: A systematic review." DIGITAL HEALTH 8 (January 2022): 205520762210741. http://dx.doi.org/10.1177/20552076221074122.
Full textWang, Shuihua, Yin Zhang, Tianmin Zhan, Preetha Phillips, Yudong Zhang, Ge Liu, Siyuan Lu, and Xueyan Wu. "PATHOLOGICAL BRAIN DETECTION BY ARTIFICIAL INTELLIGENCE IN MAGNETIC RESONANCE IMAGING SCANNING (INVITED REVIEW)." Progress In Electromagnetics Research 156 (2016): 105–33. http://dx.doi.org/10.2528/pier16070801.
Full textZhao, Wanlu, Desheng Zhang, and Xinjian Mao. "Application of Artificial Intelligence in Radiotherapy of Nasopharyngeal Carcinoma with Magnetic Resonance Imaging." Journal of Healthcare Engineering 2022 (February 2, 2022): 1–10. http://dx.doi.org/10.1155/2022/4132989.
Full textMeyer-Bäse, Anke, Lia Morra, Uwe Meyer-Bäse, and Katja Pinker. "Current Status and Future Perspectives of Artificial Intelligence in Magnetic Resonance Breast Imaging." Contrast Media & Molecular Imaging 2020 (August 28, 2020): 1–18. http://dx.doi.org/10.1155/2020/6805710.
Full textAnker, Lawrence S., and Peter C. Jurs. "Prediction of carbon-13 nuclear magnetic resonance chemical shifts by artificial neural networks." Analytical Chemistry 64, no. 10 (May 15, 1992): 1157–64. http://dx.doi.org/10.1021/ac00034a015.
Full textScardino, E., G. Villa, G. Bonomo, D. V. Matei, F. Verweij, B. Rocco, R. Varela, and O. de Cobelli. "Magnetic resonance imaging combined with artificial erection for local staging of penile cancer." Urology 63, no. 6 (June 2004): 1158–62. http://dx.doi.org/10.1016/j.urology.2004.01.008.
Full textLiu, Qiang, Shao Qing Wang, Dong Yue Yu, and Guang Ju Liang. "Retrospective Research: Analysis of Liver 31P Magnetic Resonance Spectroscopy Combined with Support Vector Machine." Applied Mechanics and Materials 220-223 (November 2012): 2936–40. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2936.
Full textChaddad, Ahmad, Michael J. Kucharczyk, Abbas Cheddad, Sharon E. Clarke, Lama Hassan, Shuxue Ding, Saima Rathore, et al. "Magnetic Resonance Imaging Based Radiomic Models of Prostate Cancer: A Narrative Review." Cancers 13, no. 3 (February 1, 2021): 552. http://dx.doi.org/10.3390/cancers13030552.
Full textVasilyak, L. M., O. D. Volpyan, A. I. Kuzmichev, Yu A. Obod, V. Ya Pecherkin, and P. A. Privalov. "Resonant reflection of plane microwave electromagnetic waves by the linear dielectric-ring structures." Industrial laboratory. Diagnostics of materials 88, no. 2 (February 22, 2022): 49–53. http://dx.doi.org/10.26896/1028-6861-2022-88-2-49-53.
Full textAhmed, Ahmed Shihab. "ON-Line MRI Image Selection and Tumor Classification using Artificial Neural Network." Ibn AL- Haitham Journal For Pure and Applied Sciences 33, no. 1 (January 20, 2020): 162. http://dx.doi.org/10.30526/33.1.2363.
Full textCarrara, Enrico A., Franco Pagliari, and Claudio Nicolini. "Neural networks for the peak-picking of nuclear magnetic resonance spectra." Neural Networks 6, no. 7 (January 1993): 1023–32. http://dx.doi.org/10.1016/s0893-6080(09)80012-9.
Full textDewan, Raimi, M. K. A. Rahim, Mohamad Rijal Hamid, and M. F. M. Yusoff. "Analysis of Wideband Antenna Performance over Dual Band Artificial Magnetic Conductor (AMC) Ground Plane." Applied Mechanics and Materials 735 (February 2015): 273–77. http://dx.doi.org/10.4028/www.scientific.net/amm.735.273.
Full textJiang, Nijie, Hong Xie, Jiao Lin, Yun Wang, and Yanan Yin. "Diagnosis and Nursing Intervention of Gynecological Ovarian Endometriosis with Magnetic Resonance Imaging under Artificial Intelligence Algorithm." Computational Intelligence and Neuroscience 2022 (June 11, 2022): 1–10. http://dx.doi.org/10.1155/2022/3123310.
Full textBehrends, Volker, Benedikt Geier, Huw D. Williams, and Jacob G. Bundy. "Direct Assessment of Metabolite Utilization by Pseudomonas aeruginosa during Growth on Artificial Sputum Medium." Applied and Environmental Microbiology 79, no. 7 (January 25, 2013): 2467–70. http://dx.doi.org/10.1128/aem.03609-12.
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