Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Nikolaos V. Tsekos"'
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 2070 (2024)
Background: The ever-growing extended reality (XR) technologies offer unique tools for the interactive visualization of images with a direct impact on many fields, from bioinformatics to medicine, as well as education and training. However, the accel
Externí odkaz:
https://doaj.org/article/be2aae40f4b746cb9fd361d5445e15f3
Autor:
Rishabh Sharma, Panagiotis Tsiamyrtzis, Andrew G. Webb, Ioannis Seimenis, Constantinos Loukas, Ernst Leiss, Nikolaos V. Tsekos
Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11758 (2022)
MR scans of low-gamma X-nuclei, low-concentration metabolites, or standard imaging at very low field entail a challenging tradeoff between resolution, signal-to-noise, and acquisition duration. Deep learning (DL) techniques, such as UNets, can potent
Externí odkaz:
https://doaj.org/article/99f26f36cf3d4f84bbf7dfd343f471ef
Autor:
Ernst L. Leiss, Ioannis Seimenis, Andrew G. Webb, Nikolaos V. Tsekos, Aaron T. Becker, Eleftherios P. Pappas, Theodosios Birbilis, Cristina Marie Morales Mojica, Jose D. Velazco-Garcia
Publikováno v:
Journal of Digital Imaging, 34(4), 1014-1025. SPRINGER
J Digit Imaging
J Digit Imaging
The recent introduction of wireless head-mounted displays (HMD) promises to enhance 3D image visualization by immersing the user into 3D morphology. This work introduces a prototype holographic augmented reality (HAR) interface for the 3D visualizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1e9aa266f54d1d188c2590f9201a9cf
https://doi.org/10.1007/s10278-020-00412-3
https://doi.org/10.1007/s10278-020-00412-3
Publikováno v:
2022 12th International Conference on Bioscience, Biochemistry and Bioinformatics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e31ff2f7014acecee9ab1042aa91fda
https://doi.org/10.1145/3510427.3510432
https://doi.org/10.1145/3510427.3510432
Autor:
Wenhui Chu, Nikolaos V. Tsekos
Publikováno v:
2022 12th International Conference on Bioscience, Biochemistry and Bioinformatics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a5fd41699cefc577cd77f1a0b8b0b99
https://doi.org/10.1145/3510427.3510429
https://doi.org/10.1145/3510427.3510429
Autor:
Arshak Anjum, Jhasketan Padhan, Nikolaos V. Tsekos, Abdulla Al Ansari, Daniel Velazco-Garcia, Nikhil V. Navkar, Shidin Balakrishnan, Julien Abinahed
Publikováno v:
2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).
Mixed reality-based medical holography is expected to have powerful applications in many surgical fields through easy and intuitive interaction with anatomic holograms using gestures. However, interaction with nested holograms using default gesture i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38f17991f1c1ee527fd02f603cf38aba
https://doi.org/10.1109/iceccme52200.2021.9591018
https://doi.org/10.1109/iceccme52200.2021.9591018
Autor:
Eftychios G. Christoforou, Nikolaos V. Tsekos, Andreas S. Panayides, Panicos Masouras, Sotiris Avgousti
Publikováno v:
Human Interaction, Emerging Technologies and Future Systems V ISBN: 9783030855390
IHIET (Paris)
IHIET (Paris)
Robotic systems have been effectively used in healthcare while a new role for them has emerged during the COVID-19 pandemic. Robots were used as part of prevention, screening and diagnosis of the disease, but also to assist with the treatment of pati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffb3e9cf889152670ecf6d7647da7f65
https://doi.org/10.1007/978-3-030-85540-6_142
https://doi.org/10.1007/978-3-030-85540-6_142
Autor:
Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom B. Girum, Anja Hennemuth, Markus Huellebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphael Couturier, Fabrice Meriaudeau
Publikováno v:
Lalande, A, Chen, Z, Pommier, T, Decourselle, T, Qayyum, A, Salomon, M, Ginhac, D, Skandarani, Y, Boucher, A, Brahim, K, de Bruijne, M, Camarasa, R, Correia, T M, Feng, X, Girum, K B, Hennemuth, A, Huellebrand, M, Hussain, R, Ivantsits, M, Ma, J, Meyer, C, Sharma, R, Shi, J, Tsekos, N V, Varela, M, Wang, X, Yang, S, Zhang, H, Zhang, Y, Zhou, Y, Zhuang, X, Couturier, R & Meriaudeau, F 2022, ' Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge ', Medical Image Analysis, vol. 79, 102428, pp. 1-12 . https://doi.org/10.1016/j.media.2022.102428
A key factor for assessing the state of the heart after myocardial infarction (MI) is to measure whether the myocardium segment is viable after reperfusion or revascularization therapy. Delayed enhancement-MRI or DE-MRI, which is performed several mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f0ab3ee2bf32e3afdbe4c04f547d72b
http://arxiv.org/abs/2108.04016
http://arxiv.org/abs/2108.04016
Autor:
Eftychios G. Christoforou, Shidin Balakrishnan, Mohamed Soliman Mohamed Elakkad, Adham Darweesh, Georges Younes, Khalid Al-Rumaihi, Abdulla Al-Ansari, Jose D. Velazco-Garcia, Panagiotis Tsiamyrtzis, Julien Abinahed, Nikolaos V. Tsekos, Nikhil V. Navkar, Mansour Karkoub, Ernst L. Leiss
Publikováno v:
The international journal of medical robotics + computer assisted surgery : MRCASREFERENCES. 17(5)
Background User interfaces play a vital role in the planning and execution of an interventional procedure. The objective of this study is to investigate the effect of using different user interfaces for planning transrectal robot-assisted MR-guided p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cec32595e0a22c9257f3bab823c7bd7
https://pubmed.ncbi.nlm.nih.gov/34060214
https://pubmed.ncbi.nlm.nih.gov/34060214
Publikováno v:
Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges ISBN: 9783030681067
M&Ms and EMIDEC/STACOM@MICCAI
M&Ms and EMIDEC/STACOM@MICCAI
This work introduces a novel Stacked Multimodal (SM2N2) architecture and assess its performance in classifying whether a patient have or not Myocardial Infarction. Central to this SM2N2 architecture is the use of images and clinical data as input. Co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45aefac9a51b59b6f15023f0aa8bccac
https://doi.org/10.1007/978-3-030-68107-4_35
https://doi.org/10.1007/978-3-030-68107-4_35