المؤلفون: Salem, Mostafa

المساهمون: University/Department: Universitat de Girona. Departament d'Arquitectura i Tecnologia de Computadors

Thesis Advisors: Salvi, Joaquim, Lladó Bardera, Xavier

المصدر: TDX (Tesis Doctorals en Xarxa)

مصطلحات موضوعية: Brain, Cervell, Cerebro, MRI, Magnetic resonance imaging, Imatgeria per ressonància magnètica, Imagen por resonancia magnética, Multiple sclerosis, Esclerosi múltiple, Esclerosis múltiple, Automatic new lesion detection, Detecció automàtica de noves lesions, Detección automática de nuevas lesiones, Machine learning, Aprenentatge automàtic, Aprendizaje automático, Deep learning, Aprenentatge profund, Aprendizaje profundo, Synthetic lesion generation, Data augmentation, CNN, Convolutional neural network, FCNN, Fully convolutional neural network

Time: 616.8

وصف الملف: application/pdf

URL الوصول: http://hdl.handle.net/10803/668990

المؤلفون: Xingpeng Yan, Xinlei Liu, Jiaqi Li, Yanan Zhang, Hebin Chang, Tao Jing, Hairong Hu, Qiang Qu, Xi Wang, Xiaoyu Jiang

المصدر: Advanced Science, Vol 11, Iss 28, Pp n/a-n/a (2024)

مصطلحات موضوعية: computer‐generated hologram, fully convolutional neural network, multi‐depth hologram, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2198-3844

URL الوصول: https://doaj.org/article/7cc675689b394d77896908d5c09eaa16

المؤلفون: Aradhyamatada Swamy, Rohitha U.M.

المصدر: Yugoslav Journal of Operations Research, Vol 34, Iss 4, Pp 669-686 (2024)

مصطلحات موضوعية: air-pollution, circle chaotic map tuna swarm optimization (ccmtso), deep learning, forecasting, fcnn-lstm (fully convolutional neural network - longshort term memory), Management information systems, T58.6-58.62

وصف الملف: electronic resource

Relation: https://doaj.org/toc/0354-0243; https://doaj.org/toc/1820-743X

URL الوصول: https://doaj.org/article/9ae24dc490d6461fbfdfb61a52d9a250

المؤلفون: Qiongqiong Hu, Feiting Wang, Jiangtao Fang, Ying Li

المصدر: Remote Sensing, Vol 16, Iss 17, p 3300 (2024)

مصطلحات موضوعية: semantic labeling, RSIs, fully convolutional neural network, dilated convolution, DenseCRF, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/16/17/3300; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/794ceb3df73542208398dceb819070d5

المؤلفون: Le Guillou, Adrien, Niculescu, Simona, Schmullius, Christiane

المساهمون: Littoral, Environnement, Télédétection, Géomatique (LETG - Brest), Université de Brest (UBO)-Université de Rennes 2 (UR2)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Brest (UBO)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (Nantes Univ - IGARUN), Nantes Université - pôle Humanités, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Humanités, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (Nantes Univ - IGARUN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ), Friedrich-Schiller-Universität = Friedrich Schiller University Jena Jena, Germany

المصدر: 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024 - )
https://hal.science/hal-04696455
2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024 - ), Jul 2024, Athènes, Greece. pp.4788-4792, ⟨10.1109/IGARSS53475.2024.10642584⟩

مصطلحات موضوعية: Coastal wetland, remote sensing, machine learning, hydrology, fully convolutional neural network (FCNN), [SDE.IE]Environmental Sciences/Environmental Engineering, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]

جغرافية الموضوع: Athènes, Greece

الاتاحة: https://hal.science/hal-04696455
https://hal.science/hal-04696455v1/document
https://hal.science/hal-04696455v1/file/IGARSS_Paper_Review_removed.pdf
https://doi.org/10.1109/IGARSS53475.2024.10642584

المؤلفون: Dingyuan Hu, Hongbin Liang, Shiya Qu, Chunyu Han, Yuhang Jiang

المصدر: BMC Medical Imaging, Vol 23, Iss 1, Pp 1-11 (2023)

مصطلحات موضوعية: Fully convolutional neural network, Threshold segmentation, Head CT images, Brain extraction, Medical technology, R855-855.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1471-2342

URL الوصول: https://doaj.org/article/c786754d111d482a90362f04080c3dc5

المؤلفون: Canicius Mwitta, Glen C. Rains

المصدر: Frontiers in Robotics and AI, Vol 11 (2024)

مصطلحات موضوعية: dynamic window approach, fully convolutional neural network, precision agriculture, pure pursuit, path between cotton row detection, Mechanical engineering and machinery, TJ1-1570, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/frobt.2024.1359887/full; https://doaj.org/toc/2296-9144

URL الوصول: https://doaj.org/article/3db7520a4b02495aadbc3336b0c85215

المؤلفون: Shiqiang Wu, Zhanlong Ke, Liquan Cai, Liangming Wang, XiaoLu Zhang, Qingfeng Ke, Yuguang Ye

المصدر: Journal of Bone Oncology, Vol 45, Iss , Pp 100593- (2024)

مصطلحات موضوعية: Pelvis bone tumor, Image segmentation, Fully convolutional neural network, Conditional random fields, Computed tomography, Diseases of the musculoskeletal system, RC925-935, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2212137424000733; https://doaj.org/toc/2212-1374

URL الوصول: https://doaj.org/article/191e629f80394c538508371105665e2e

المؤلفون: Gang Wang, Jinyue Hu, Yu Zhang, Zhaolin Xiao, Mengxing Huang, Zhanping He, Jing Chen, Zhiming Bai

المصدر: Heliyon, Vol 10, Iss 3, Pp e25030- (2024)

مصطلحات موضوعية: Prostate cancer, Periprostatic adipose tissue, Deep learning, U-shaped fully convolutional neural network (U-Net), Contour feature, Science (General), Q1-390, Social sciences (General), H1-99

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024010612; https://doaj.org/toc/2405-8440

URL الوصول: https://doaj.org/article/70447013a8c44abab4d8cb38f441dc31

المؤلفون: Alain Marcel Dikande Simo, Aurelle Tchagna Kouanou, Valery Monthe, Michael Kameni Nana, Bertrand Moffo Lonla

المصدر: Informatics in Medicine Unlocked, Vol 44, Iss , Pp 101423- (2024)

مصطلحات موضوعية: Magnetic resonance image, Brain tumors classification, Deep learning, Fully convolutional neural network, Nesterov momentum optimization, Computer applications to medicine. Medical informatics, R858-859.7

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352914823002691; https://doaj.org/toc/2352-9148

URL الوصول: https://doaj.org/article/61921a19624040839702e6caf3c760ea

المؤلفون: Jianye Yuan, Xin Ma, Zhentong Zhang, Qiang Xu, Ge Han, Song Li, Wei Gong, Fangyuan Liu, Xin Cai

المصدر: Geo-spatial Information Science, Pp 1-12 (2023)

مصطلحات موضوعية: EFFC-Net, CNN, transformer, remote sensing image, fully convolutional neural network, Mathematical geography. Cartography, GA1-1776, Geodesy, QB275-343

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1009-5020; https://doaj.org/toc/1993-5153

URL الوصول: https://doaj.org/article/244ae3b0f82b4027b64aeeccf28117ed

المؤلفون: Shiqiang Wu, Xiaoming Bai, Liquan Cai, Liangming Wang, XiaoLu Zhang, Qingfeng Ke, Jianlong Huang

المصدر: Journal of Bone Oncology, Vol 42, Iss , Pp 100502- (2023)

مصطلحات موضوعية: Bone tumor, Image segmentation, Fully convolutional neural network, Conditional random fields, Computed tomography, Diseases of the musculoskeletal system, RC925-935, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2212137423000350; https://doaj.org/toc/2212-1374

URL الوصول: https://doaj.org/article/7fdd53e047a74442aab2beb3dcdb75aa

المؤلفون: YOU Lei, ZHU Xinglin, CHEN Yu, LUO Minghua

المصدر: Gong-kuang zidonghua, Vol 48, Iss 9, Pp 16-24 (2022)

مصطلحات موضوعية: belt conveyor, tear detection of conveyor belt, tear physical size, line structured light, fully convolutional neural network, u-net network, semantic segmentation, Mining engineering. Metallurgy, TN1-997

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1671-251X

URL الوصول: https://doaj.org/article/4b10ff933f654c6f91db22a1ee8af20e

المؤلفون: OU Yangliu, HE Xi, QU Shaojun

المصدر: Jisuanji kexue yu tansuo, Vol 16, Iss 5, Pp 1136-1145 (2022)

مصطلحات موضوعية: fully convolutional neural network, atrous spatial pyramid pooling, attention module, semantic segmentation, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: http://fcst.ceaj.org/fileup/1673-9418/PDF/1652926882179-600585506.pdf; https://doaj.org/toc/1673-9418

URL الوصول: https://doaj.org/article/f334594848424e1a8e06e4f7446b7ede

المؤلفون: Tong, Nuo, Gou, Shuiping, Yang, Shuyuan, Ruan, Dan, Sheng, Ke

المصدر: Medical Physics. 45(10)

مصطلحات موضوعية: Bioengineering, Cancer, Neurosciences, Automation, Head and Neck Neoplasms, Humans, Image Processing, Computer-Assisted, Models, Theoretical, Neural Networks, Computer, Organs at Risk, Tomography, X-Ray Computed, fully convolutional neural network, head and neck cancer, image segmentation, shape representation model, Other Physical Sciences, Biomedical Engineering, Oncology and Carcinogenesis, Nuclear Medicine & Medical Imaging

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/8zh0287c

المؤلفون: Qiuyu Zhu, Xuewen Zu

المصدر: IEEE Access, Vol 10, Pp 35541-35549 (2022)

مصطلحات موضوعية: Fully convolutional neural network (FCNN), loss function, image classification, fully connected layer, curse of dimensionality, ReLU function, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9745570/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/0f13f23a013c463390bf7950f68c37df

المؤلفون: Sarunas Kalade, Louise H. Crockett, Robert W. Stewart

المصدر: IEEE Open Journal of the Communications Society, Vol 3, Pp 1063-1075 (2022)

مصطلحات موضوعية: Deep learning, fully convolutional neural network, frame synchronization, Internet of Things, Telecommunication, TK5101-6720, Transportation and communications, HE1-9990

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9810523/; https://doaj.org/toc/2644-125X

URL الوصول: https://doaj.org/article/5affbd4b6e3c4990b9de6f1870fdd4ba

المؤلفون: Vincent Olufunke Rebecca, Babalola Yetunde Ebunoluwa, Sodiya Adesina Simon, Adeniran Olusola John

المصدر: Applied Computer Systems, Vol 26, Iss 2, Pp 80-86 (2021)

مصطلحات موضوعية: deep learning, fully convolutional neural network, rail track breakage, u-net architecture, Computer software, QA76.75-76.765

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2255-8691

URL الوصول: https://doaj.org/article/c678bd808e0e4c3d9f43d110bad4797f

المؤلفون: Yu, Shuwen, Marnane, William P., Boylan, Geraldine B., Lightbody, Gordon

مصطلحات موضوعية: Hypoxic-ischemic encephalopathy (HIE), EEG, Fully convolutional neural network, UMAP

وصف الملف: application/pdf

Relation: info:eu-repo/grantAgreement/SFI/SFI Frontiers for the Future::Award/19/FFP/6782/IE/Model based decision support for newborn brain protection/; info:eu-repo/grantAgreement/WT/Innovations/098983//Multicentre Clinical evaluation of a neonatal seizure detection algorithm./; 151; Yu, S., Marnane, W. P., Boylan, G. B. and Lightbody, G. (2023) 'Neonatal hypoxic-ischemic encephalopathy grading from multi-channel EEG time-series data using a fully convolutional neural network', Technologies, 11(6), 151 (18pp). doi:10.3390/technologies11060151; 18; Technologies; https://hdl.handle.net/10468/15279; 11

الاتاحة: https://hdl.handle.net/10468/15279
https://doi.org/10.3390/technologies11060151

المؤلفون: Papp, D, Castillo T, Jose M, Wielopolski, P A, Ciet, P, Veenland, Jifke F, Kotek, G, Hernandez-Tamames, J

المساهمون: Papp, D, Castillo T, Jose M, Wielopolski, P A, Ciet, P, Veenland, Jifke F, Kotek, G, Hernandez-Tamames, J

مصطلحات موضوعية: Fully convolutional neural network, Lung, Magnetic resonance imaging, Zero TE

Relation: info:eu-repo/semantics/altIdentifier/pmid/36681310; info:eu-repo/semantics/altIdentifier/wos/WOS:000964269200001; volume:98; firstpage:97; lastpage:104; numberofpages:8; journal:MAGNETIC RESONANCE IMAGING; https://hdl.handle.net/11584/368266; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85147559217

الاتاحة: https://hdl.handle.net/11584/368266
https://doi.org/10.1016/j.mri.2023.01.019