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Publication search results
found 47 matches
- 2023
- Taha Müezzinoglu, Nursena Baygin, Ilknur Tuncer, Prabal Datta Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Elizabeth Emma Palmer, Kang Hao Cheong, U. Rajendra Acharya:
PatchResNet: Multiple Patch Division-Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images. J. Digit. Imaging 36(3): 973-987 (2023) - Tommaso Ciceri, Letizia Squarcina, Alessandro Pigoni, Adele Ferro, Florian Montano, Alessandra Bertoldo, Nicola Persico, Simona Boito, Fabio Maria Triulzi, Giorgio Conte, Paolo Brambilla, Denis Peruzzo:
Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester. Neuroinformatics 21(3): 549-563 (2023) - Madhu M. Nayak, Sumithra Devi Kengeri Anjanappa:
An Efficient Hybrid Classifier for MRI Brain Images Classification Using Machine Learning Based Naive Bayes Algorithm. SN Comput. Sci. 4(3): 223 (2023) - P. Thilakavathy, B. Diwan:
Intelligent quotient estimation from MRI images using optimal light gradient boosting machine. J. Supercomput. 79(3): 2431-2450 (2023) - 2022
- Shyamali Mitra, Nibaran Das, Soumyajyoti Dey, Sukanta Chakraborty, Mita Nasipuri, Mrinal Kanti Naskar:
Cytology Image Analysis Techniques Toward Automation: Systematically Revisited. ACM Comput. Surv. 54(3): 52:1-52:41 (2022) - Jameel Ahmed Bhutto, Lianfang Tian, Qiliang Du, Zhengzheng Sun, Yu Lubin, Muhammad Faizan Tahir:
CT and MRI Medical Image Fusion Using Noise-Removal and Contrast Enhancement Scheme with Convolutional Neural Network. Entropy 24(3): 393 (2022) - Parul Agarwal, Anirban Dutta, Tarushi Agrawal, Nikhil Mehra, Shikha Mehta:
Hybrid Nature-Inspired Algorithm for Feature Selection in Alzheimer Detection Using Brain MRI Images. Int. J. Comput. Intell. Appl. 21(3): 2250016:1-2250016:21 (2022) - Qing Lyu, Sanjeev V. Namjoshi, Emory McTyre, Umit Topaloglu, Richard Barcus, Michael D. Chan, Christina K. Cramer, Waldemar Debinski, Metin N. Gurcan, Glenn J. Lesser, Hui-Kuan Lin, Reginald F. Munden, Boris C. Pasche, Kiran Kumar Solingapuram Sai, Roy E. Strowd, Stephen B. Tatter, Kounosuke Watabe, Wei Zhang, Ge Wang, Christopher T. Whitlow:
A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images. Patterns 3(11): 100613 (2022) - Dhirendra Kumar, R. K. Agrawal, Puneet Kumar:
Bias-Corrected Intuitionistic Fuzzy C-Means With Spatial Neighborhood Information Approach for Human Brain MRI Image Segmentation. IEEE Trans. Fuzzy Syst. 30(3): 687-700 (2022) - 2021
- Pubali Chatterjee, Kaushik Das Sharma, Amlan Chakrabarti:
A stochastic approach for automated brain MRI segmentation. IET Image Process. 15(3): 735-745 (2021) - Manoj K. Singh, Sanoj Kumar, Musrrat Ali, Deepika Saini:
Application of a novel image moment computation in X-ray and MRI image watermarking. IET Image Process. 15(3): 666-682 (2021) - B. Jai Shankar, K. Murugan, A. Obulesu, S. Finney Daniel Shadrach, R. Anitha:
MRI Image Segmentation Using Bat Optimization Algorithm with Fuzzy C Means (BOA-FCM) Clustering. J. Medical Imaging Health Informatics 11(3): 661-666 (2021) - 2020
- P. L. Chithra, G. Dheepa:
Di-phase midway convolution and deconvolution network for brain tumor segmentation in MRI images. Int. J. Imaging Syst. Technol. 30(3): 674-686 (2020) - 2019
- José Hernández Delgado, Iván Cruz-Aceves, Teodoro Córdova-Fraga, Modesto Sosa Aquino, Rafael Guzmán-Cabrera:
Processing of MRI Images Weighted in TOF for Blood Vessels Analysis: 3-D Reconstruction. Computación y Sistemas 23(1): 109 (2019) - Philipp Ernst, Georg Hille, Christian Hansen, Klaus Tönnies, Marko Rak:
A CNN-Based Framework for Statistical Assessment of Spinal Shape and Curvature in Whole-Body MRI Images of Large Populations. MICCAI (4) 2019: 3-11 - 2017
- Durga Prasad Bavirisetti, Vijayakumar Kollu, Gang Xiao, Ravindra Dhuli:
Fusion of MRI and CT images using guided image filter and image statistics. Int. J. Imaging Syst. Technol. 27(3): 227-237 (2017) - Chandrajit Pal, Pabitra Das, Amlan Chakrabarti, Ranjan Ghosh:
Rician noise removal in magnitude MRI images using efficient anisotropic diffusion filtering. Int. J. Imaging Syst. Technol. 27(3): 248-264 (2017) - Yan Wang, Guangkai Ma, Le An, Feng Shi, Pei Zhang, David S. Lalush, Xi Wu, Yi-Fei Pu, Jiliu Zhou, Dinggang Shen:
Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI. IEEE Trans. Biomed. Eng. 64(3): 569-579 (2017) - 2015
- Hao Liu, Hongbo Qian, Ning Dai, Jianning Zhao:
Heuristic Initialization for Active Contour Models in CT/MRI Image Processing. Int. J. Image Graph. 15(3): 1550010:1-1550010:22 (2015) - 2014
- A. Jayachandran, R. Dhanasekaran:
Computer Assisted Diagnosis of Tumor in Brain MRI Images using Wavelet as input to Ada-Boost classifier. Int. J. Energy Optim. Eng. 3(3): 72-85 (2014) - 2013
- K. M. M. Prabhu, K. Sridhar, Massimo Mischi, Halandur Nagaraja Bharath:
3-D warped discrete cosine transform for MRI image compression. Biomed. Signal Process. Control. 8(1): 50-58 (2013) - Ekaterini Solomou, Spiros Kostopoulos, Konstantinos Sidiropoulos, Emmanouil Athanasiadis, Eleftherios Lavdas, Dimitris Glotsos, George Sakellaropoulos, Petros Zampakis, T. John Stonham, Dionisis A. Cavouras:
Designing a pattern recognition system on GPU for discriminating between patients with micro-ischaemic and multiple sclerosis lesions, using MRI images. Int. J. High Perform. Comput. Appl. 27(3): 348-359 (2013) - Moti Freiman, Jeannette M. Perez-Rossello, Michael J. Callahan, Stephan D. Voss, Kirsten Ecklund, Robert V. Mulkern, Simon K. Warfield:
Reliable estimation of incoherent motion parametric maps from diffusion-weighted MRI using fusion bootstrap moves. Medical Image Anal. 17(3): 325-336 (2013) - 2012
- Torsten Hopp, Pascal A. Baltzer, Matthias Dietzel, Werner A. Kaiser, Nicole V. Ruiter:
2D/3D image fusion of X-ray mammograms with breast MRI: visualizing dynamic contrast enhancement in mammograms. Int. J. Comput. Assist. Radiol. Surg. 7(3): 339-348 (2012) - Arthanari Rajendran, Dhanasekaran Raghavan:
Brain Tumor Segmentation on MRI Brain Images with Fuzzy Clustering and GVF Snake Model. Int. J. Comput. Commun. Control 7(3): 530-539 (2012) - Danilo Babin, Ewout Vansteenkiste, Aleksandra Pizurica, Wilfried Philips:
Centerline calculation for extracting abdominal aorta in 3-D MRI images. EMBC 2012: 3982-3985 - 2010
- Zang-Hee Cho, Jae-Yong Han, Seok-Il Hwang, Dae-Shik Kim, Kyoung-Nam Kim, Nam-Beom Kim, Seog Ju Kim, Je-Geun Chi, Chan-Woong Park, Young-Bo Kim:
Quantitative analysis of the hippocampus using images obtained from 7.0 T MRI. NeuroImage 49(3): 2134-2140 (2010) - Guy Sandner, Marie-Josée Angst, Thierry Guiberteau, Blandine Guignard, David Brasse:
MRI and X-ray scanning images of the brain of 3-, 6- and 9-month-old rats with bilateral neonatal ventral hippocampus lesions. NeuroImage 53(1): 44-50 (2010) - Hongen Liao, Takashi Inomata, Ichiro Sakuma, Takeyoshi Dohi:
3-D Augmented Reality for MRI-Guided Surgery Using Integral Videography Autostereoscopic Image Overlay. IEEE Trans. Biomed. Eng. 57(6): 1476-1486 (2010) - Kio Kim, Piotr A. Habas, François Rousseau, Orit A. Glenn, A. James Barkovich, Colin Studholme:
Intersection Based Motion Correction of Multislice MRI for 3-D in Utero Fetal Brain Image Formation. IEEE Trans. Medical Imaging 29(1): 146-158 (2010)
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