Artículos de revistas sobre el tema "MRI IMAGE"
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Zhang, Huixian, Hailong Li, Jonathan R. Dillman, Nehal A. Parikh y Lili He. "Multi-Contrast MRI Image Synthesis Using Switchable Cycle-Consistent Generative Adversarial Networks". Diagnostics 12, n.º 4 (26 de marzo de 2022): 816. http://dx.doi.org/10.3390/diagnostics12040816.
Texto completoYang, Huan, Pengjiang Qian y Chao Fan. "An Indirect Multimodal Image Registration and Completion Method Guided by Image Synthesis". Computational and Mathematical Methods in Medicine 2020 (30 de junio de 2020): 1–10. http://dx.doi.org/10.1155/2020/2684851.
Texto completoDestyningtias, Budiani, Andi Kurniawan Nugroho y Sri Heranurweni. "Analisa Citra Medis Pada Pasien Stroke dengan Metoda Peregangan Kontras Berbasis ImageJ". eLEKTRIKA 10, n.º 1 (19 de junio de 2019): 15. http://dx.doi.org/10.26623/elektrika.v10i1.1105.
Texto completoBellam, Kiranmai, N. Krishnaraj, T. Jayasankar, N. B. Prakash y G. R. Hemalakshmi. "Adaptive Multimodal Image Fusion with a Deep Pyramidal Residual Learning Network". Journal of Medical Imaging and Health Informatics 11, n.º 8 (1 de agosto de 2021): 2135–43. http://dx.doi.org/10.1166/jmihi.2021.3763.
Texto completoSchramm, Georg y Claes Nøhr Ladefoged. "Metal artifact correction strategies in MRI-based attenuation correction in PET/MRI". BJR|Open 1, n.º 1 (noviembre de 2019): 20190033. http://dx.doi.org/10.1259/bjro.20190033.
Texto completo., Swapnali Matkar. "IMAGE SEGMENTATION METHODS FOR BRAIN MRI IMAGES". International Journal of Research in Engineering and Technology 04, n.º 03 (25 de marzo de 2015): 263–66. http://dx.doi.org/10.15623/ijret.2015.0403045.
Texto completoSingh, Ram y Lakhwinder Kaur. "Noise-residue learning convolutional network model for magnetic resonance image enhancement". Journal of Physics: Conference Series 2089, n.º 1 (1 de noviembre de 2021): 012029. http://dx.doi.org/10.1088/1742-6596/2089/1/012029.
Texto completoYan, Rong. "The Value of Convolutional-Neural-Network-Algorithm-Based Magnetic Resonance Imaging in the Diagnosis of Sports Knee Osteoarthropathy". Scientific Programming 2021 (2 de julio de 2021): 1–11. http://dx.doi.org/10.1155/2021/2803857.
Texto completoOdusami, Modupe, Rytis Maskeliūnas y Robertas Damaševičius. "Pareto Optimized Adaptive Learning with Transposed Convolution for Image Fusion Alzheimer’s Disease Classification". Brain Sciences 13, n.º 7 (8 de julio de 2023): 1045. http://dx.doi.org/10.3390/brainsci13071045.
Texto completoWu, Hongliang, Guocheng Chen, Guibao Zhang y Minghua Dai. "Application of Multimodal Fusion Technology in Image Analysis of Pretreatment Examination of Patients with Spinal Injury". Journal of Healthcare Engineering 2022 (12 de abril de 2022): 1–10. http://dx.doi.org/10.1155/2022/4326638.
Texto completoLiu, Huanyu, Jiaqi Liu, Junbao Li, Jeng-Shyang Pan y Xiaqiong Yu. "DL-MRI: A Unified Framework of Deep Learning-Based MRI Super Resolution". Journal of Healthcare Engineering 2021 (9 de abril de 2021): 1–9. http://dx.doi.org/10.1155/2021/5594649.
Texto completoRajalakshmi, N., K. Narayanan y P. Amudhavalli. "Wavelet-Based Weighted Median Filter For Image Denoising Of MRI Brain Images". Indonesian Journal of Electrical Engineering and Computer Science 10, n.º 1 (1 de abril de 2018): 201. http://dx.doi.org/10.11591/ijeecs.v10.i1.pp201-206.
Texto completoXie, Xiaoxiao, Zhen Li, Lu Bai, Ri Zhou, Canfeng Li, Xiaocheng Jiang, Jianwei Zuo y Yulong Qi. "Deep Learning-Based MRI in Diagnosis of Fracture of Tibial Plateau Combined with Meniscus Injury". Scientific Programming 2021 (20 de diciembre de 2021): 1–8. http://dx.doi.org/10.1155/2021/9935910.
Texto completoLiang, Yingbo y Jian Fu. "Watershed Algorithm for Medical Image Segmentation Based on Morphology and Total Variation Model". International Journal of Pattern Recognition and Artificial Intelligence 33, n.º 05 (8 de abril de 2019): 1954019. http://dx.doi.org/10.1142/s0218001419540193.
Texto completo., Gautam. "Super Resolution MRI Using Generative Adversarial Networks". International Journal for Research in Applied Science and Engineering Technology 9, n.º VII (31 de julio de 2021): 3896–905. http://dx.doi.org/10.22214/ijraset.2021.37237.
Texto completoDong, Jie, Yueying Zhang, Yun Meng, Tingxiao Yang, Wei Ma y Huixin Wu. "Segmentation Algorithm of Magnetic Resonance Imaging Glioma under Fully Convolutional Densely Connected Convolutional Networks". Stem Cells International 2022 (17 de octubre de 2022): 1–9. http://dx.doi.org/10.1155/2022/8619690.
Texto completoSun, Lifang, Xi Hu, Yutao Liu y Hengyu Cai. "Image Features of Magnetic Resonance Imaging under the Deep Learning Algorithm in the Diagnosis and Nursing of Malignant Tumors". Contrast Media & Molecular Imaging 2021 (30 de agosto de 2021): 1–8. http://dx.doi.org/10.1155/2021/1104611.
Texto completoMin, Liang, Yi Gu, Rui Xue, Yi Ren y Bo Gao. "Composite MRI Task Construction from CT Images based on Deep Convolution Neural Network". Journal of Imaging Science and Technology 65, n.º 3 (1 de mayo de 2021): 30404–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2021.65.3.030404.
Texto completoLee, Giljae, Hwunjae Lee y Gyehwan Jin. "Analysis of Fitting Degree of MRI and PET Images in Simultaneous MRPET Images by Machine Learning Neural Networks". ScholarGen Publishers 3, n.º 1 (28 de diciembre de 2020): 43–61. http://dx.doi.org/10.31916/sjmi2020-01-05.
Texto completoVeress, Alexander I., Gregory Klein y Grant T. Gullberg. "A Comparison of Hyperelastic Warping of PET Images with Tagged MRI for the Analysis of Cardiac Deformation". International Journal of Biomedical Imaging 2013 (2013): 1–14. http://dx.doi.org/10.1155/2013/728624.
Texto completoZhang, Weilan, Jingyi Zhu, Xiaohan Xu y Guoguang Fan. "Synthetic MRI of the lumbar spine at 3.0 T: feasibility and image quality comparison with conventional MRI". Acta Radiologica 61, n.º 4 (14 de septiembre de 2019): 461–70. http://dx.doi.org/10.1177/0284185119871670.
Texto completoWei, Hui, Baolong Lv, Feng Liu, Haojun Tang, Fangfang Gou y Jia Wu. "A Tumor MRI Image Segmentation Framework Based on Class-Correlation Pattern Aggregation in Medical Decision-Making System". Mathematics 11, n.º 5 (28 de febrero de 2023): 1187. http://dx.doi.org/10.3390/math11051187.
Texto completoDjan, Igor, Borislava Petrovic, Marko Erak, Ivan Nikolic y Silvija Lucic. "Radiotherapy treatment planning: Benefits of CT-MR image registration and fusion in tumor volume delineation". Vojnosanitetski pregled 70, n.º 8 (2013): 735–39. http://dx.doi.org/10.2298/vsp110404001d.
Texto completoDavid S, Alex, Almas Begum y Ravikumar S. "Content clustering for MRI Image compression using PPAM". International Journal of Engineering & Technology 7, n.º 1.7 (5 de febrero de 2018): 126. http://dx.doi.org/10.14419/ijet.v7i1.7.10631.
Texto completoShwetha, V., C. H. Renu Madhavi y Kumar M. Nagendra. "Classification of Brain Tumors Using Hybridized Convolutional Neural Network in Brain MRI images". International Journal of Circuits, Systems and Signal Processing 16 (14 de enero de 2022): 561–70. http://dx.doi.org/10.46300/9106.2022.16.70.
Texto completoKumar, L. Ravi, K. G. S. Venkatesan y S.Ravichandran. "Cloud-enabled Internet of Things Medical Image Processing Compressed Sensing Reconstruction". International Journal of Scientific Methods in Intelligence Engineering Networks 01, n.º 04 (2023): 11–21. http://dx.doi.org/10.58599/ijsmien.2023.1402.
Texto completoTaime, Abderazzak, Aziz Khamjane, Jamal Riffi y Hamid Tairi. "Improving the accuracy of the PET/MRI tridimensional multimodal rigid image registration based on the FATEMD". Radioelectronic and Computer Systems, n.º 1 (7 de marzo de 2023): 122–33. http://dx.doi.org/10.32620/reks.2023.1.10.
Texto completoDing, Wei Li, Feng Jiang y Jia Qing Yan. "Automatic Segmentation of the Skull in MRI Sequences Using Level Set Method". Applied Mechanics and Materials 58-60 (junio de 2011): 2370–75. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.2370.
Texto completoKortepeter, Mark G. "MRI: My Resonant Image". Annals of Internal Medicine 115, n.º 9 (1 de noviembre de 1991): 749. http://dx.doi.org/10.7326/0003-4819-115-9-749.
Texto completoVitone, Louis, Abraham Joel, Andrew Masters y Simon Lea. "Obturator Hernia – MRI Image". Indian Journal of Surgery 75, n.º 4 (18 de septiembre de 2012): 322. http://dx.doi.org/10.1007/s12262-012-0735-x.
Texto completoHartshorne, M. F., L. K. Arata, B. B. Roberts, P. W. Wiest y J. A. Sanders. "MRI/SPECT IMAGE FUSION". CLINICAL NUCLEAR MEDICINE 22, n.º 3 (marzo de 1997): 199. http://dx.doi.org/10.1097/00003072-199703000-00022.
Texto completoTaie, Shereen A. y Wafaa Ghonaim. "A new model for early diagnosis of alzheimer's disease based on BAT-SVM classifier". Bulletin of Electrical Engineering and Informatics 10, n.º 2 (1 de abril de 2021): 759–66. http://dx.doi.org/10.11591/eei.v10i2.2714.
Texto completoAhmed, Ahmed Shihab y Hussein Ali Salah. "The IoT and registration of MRI brain diagnosis based on genetic algorithm and convolutional neural network". Indonesian Journal of Electrical Engineering and Computer Science 25, n.º 1 (1 de enero de 2022): 273. http://dx.doi.org/10.11591/ijeecs.v25.i1.pp273-280.
Texto completoMurugachandravel, J. y S. Anand. "Enhancing MRI Brain Images Using Contourlet Transform and Adaptive Histogram Equalization". Journal of Medical Imaging and Health Informatics 11, n.º 12 (1 de diciembre de 2021): 3024–27. http://dx.doi.org/10.1166/jmihi.2021.3906.
Texto completoYOUSIF, AHMED, Zaid Bin Omar y Usman Ullah Sheikh. "A Survey on Multi-Scale Medical images Fusion Techniques: Brain Diseases". Journal of Biomedical Engineering and Medical Imaging 7, n.º 1 (28 de febrero de 2020): 18–38. http://dx.doi.org/10.14738/jbemi.71.7415.
Texto completoNandhagopal, N., C. Jaichander y R. Ponniwalavan. "Image Classification using MRI Images in Brain Tumor". Asian Journal of Research in Social Sciences and Humanities 6, cs1 (2016): 422. http://dx.doi.org/10.5958/2249-7315.2016.00974.6.
Texto completoHata, Junichi. "3. Introduction to MRI Image Analysis Using ImageJ". Japanese Journal of Radiological Technology 75, n.º 1 (2019): 89–94. http://dx.doi.org/10.6009/jjrt.2019_jsrt_75.1.89.
Texto completoJai Shankar, B., K. Murugan, A. Obulesu, S. Finney Daniel Shadrach y R. Anitha. "MRI Image Segmentation Using Bat Optimization Algorithm with Fuzzy C Means (BOA-FCM) Clustering". Journal of Medical Imaging and Health Informatics 11, n.º 3 (1 de marzo de 2021): 661–66. http://dx.doi.org/10.1166/jmihi.2021.3365.
Texto completoFu, Qimao, Chuizhi Huang, Yan Chen, Nailong Jia, Jinghui Huang y Changkun Lin. "Magnetic Resonance Imaging Image under Low-Rank Matrix Denoising Algorithm in the Diagnosis and Evaluation of Tibial Plateau Fracture Combined with Meniscus Injury". Scientific Programming 2021 (24 de noviembre de 2021): 1–9. http://dx.doi.org/10.1155/2021/6329020.
Texto completoPeni Agustin Tjahyaningtijas, Hapsari. "Brain Tumor Image Segmentation in MRI Image". IOP Conference Series: Materials Science and Engineering 336 (abril de 2018): 012012. http://dx.doi.org/10.1088/1757-899x/336/1/012012.
Texto completoBasir, Otman y Kalifa Shantta. "Automatic MRI Brain Tumor Segmentation Techniques: A Survey". IRA-International Journal of Applied Sciences (ISSN 2455-4499) 16, n.º 2 (20 de abril de 2021): 25. http://dx.doi.org/10.21013/jas.v16.n2.p2.
Texto completoJacobson, Geraldine, Gideon Zamba, Vicki Betts, M. Muruganandham y Joni Buechler-Price. "Image-Based Treatment Planning of the Post-Lumpectomy Breast Utilizing CT and 3TMRI". International Journal of Breast Cancer 2011 (2011): 1–5. http://dx.doi.org/10.4061/2011/246265.
Texto completoMishra, Susmita, M. Prakash, A. Hafsa y G. Anchana. "Anfis to Detect Brain Tumor Using MRI". International Journal of Engineering & Technology 7, n.º 3.27 (15 de agosto de 2018): 209. http://dx.doi.org/10.14419/ijet.v7i3.27.17763.
Texto completoLiu, Hujun, Hui Gao y Fei Jia. "The Value of Convolutional Neural Network-Based Magnetic Resonance Imaging Image Segmentation Algorithm to Guide Targeted Controlled Release of Doxorubicin Nanopreparation". Contrast Media & Molecular Imaging 2021 (26 de julio de 2021): 1–10. http://dx.doi.org/10.1155/2021/9032017.
Texto completoHoffmann, Nico, Florian Weidner, Peter Urban, Tobias Meyer, Christian Schnabel, Yordan Radev, Gabriele Schackert et al. "Framework for 2D-3D image fusion of infrared thermography with preoperative MRI". Biomedical Engineering / Biomedizinische Technik 62, n.º 6 (27 de noviembre de 2017): 599–607. http://dx.doi.org/10.1515/bmt-2016-0075.
Texto completoAndotra, Abhinav Singh y Sandeep Sharma. "MRI Image Enhancement: Optimized Filtering Mechanism for Achieving High Accuracy in Diagnose Process". Asian Journal of Computer Science and Technology 7, n.º 1 (5 de mayo de 2018): 66–70. http://dx.doi.org/10.51983/ajcst-2018.7.1.1827.
Texto completoTheocharis, Stefanos, Eleftherios P. Pappas, Ioannis Seimenis, Panagiotis Kouris, Dimitrios Dellios, Georgios Kollias y Pantelis Karaiskos. "Geometric distortion assessment in 3T MR images used for treatment planning in cranial Stereotactic Radiosurgery and Radiotherapy". PLOS ONE 17, n.º 5 (23 de mayo de 2022): e0268925. http://dx.doi.org/10.1371/journal.pone.0268925.
Texto completoLiu, Yawen, Haijun Niu, Pengling Ren, Jialiang Ren, Xuan Wei, Wenjuan Liu, Heyu Ding et al. "Generation of quantification maps and weighted images from synthetic magnetic resonance imaging using deep learning network". Physics in Medicine & Biology 67, n.º 2 (17 de enero de 2022): 025002. http://dx.doi.org/10.1088/1361-6560/ac46dd.
Texto completoDe, Arunava, Anup Kumar Bhattacharjee, Chandan Kumar Chanda y Bansibadan Maji. "Entropy Maximization, Stationary Wavelet and DCT Based Segmentation, De-Noising and Progressive Transmission Technique for Diseased MRI Images". Applied Mechanics and Materials 197 (septiembre de 2012): 229–34. http://dx.doi.org/10.4028/www.scientific.net/amm.197.229.
Texto completoPitkänen, Johanna, Juha Koikkalainen, Tuomas Nieminen, Ivan Marinkovic, Sami Curtze, Gerli Sibolt, Hanna Jokinen et al. "Evaluating severity of white matter lesions from computed tomography images with convolutional neural network". Neuroradiology 62, n.º 10 (13 de abril de 2020): 1257–63. http://dx.doi.org/10.1007/s00234-020-02410-2.
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