Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Antila, Kari"'
Autor:
Czeizler, Elena, Pajula, Juha, Pölönen, Harri, Antila, Kari, Lehtio, Kaisa, Lehto, Joonas, Tiulpin, Aleksei, Maslowski, Alexander, Hakala, Mikko, Kuusela, Esa, Bush, K.
Publikováno v:
Czeizler, E, Pajula, J, Pölönen, H, Antila, K, Lehtio, K, Lehto, J, Tiulpin, A, Maslowski, A, Hakala, M, Kuusela, E & Bush, K 2022, ' Automatic Segmentation Algorithms Improve the Efficiency and Inter-Observer Agreement of Gross Target Volumes Contours ', 64th Annual Meeting & Exhibition, AAPM 2022, Washington, United States, 10/07/22-14/07/22 . < https://w4.aapm.org/meetings/2022AM/programInfo/programAbs.php?sid=10792&aid=64845 >
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=355e65625b88::32c6259fcae4a3d20cc725fdd49daf49
https://cris.vtt.fi/en/publications/b141943f-0841-4939-8192-1768bfd328e2
https://cris.vtt.fi/en/publications/b141943f-0841-4939-8192-1768bfd328e2
Autor:
Antila, Kari
Kuvien segmentointi, mikä tarkoittaa kuvien sisällön jaottelua yhtenäisiin ja merkityksellisiin alueisiin, on välttämätön edellytys kuvien sisällön järjestelmälliselle analyysille. Lääketieteessä segmentointia käytetään diagnosoinni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4853::048ec790067b313544088059ac14fc8d
https://trepo.tuni.fi/handle/10024/124505
https://trepo.tuni.fi/handle/10024/124505
Akademický článek
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Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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Autor:
Hernesniemi, Jussi, Mahdiani, Shadi, Lyytikäinen, Leo-Pekka, Lehtimäki, Terho, Eskola, Markku, Nikus, Kjell, Antila, Kari, Oksala, Niku
Publikováno v:
Hernesniemi, J, Mahdiani, S, Lyytikäinen, L-P, Lehtimäki, T, Eskola, M, Nikus, K, Antila, K & Oksala, N 2017, Cohort description for MADDEC : Mass data in detection and prevention of serious adverse events in cardiovascular disease . in H Eskola, O Vaisanen, J Viik & J Hyttinen (eds), EMBEC & NBC 2017 : Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC) . Springer, Singapore, IFMBE Proceedings, vol. 65, pp. 1113-1116, Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), Tampere, Finland, 11/06/17 . https://doi.org/10.1007/978-981-10-5122-7_278
The risk for mortality and prevalence of comorbidities of patients treated for cardiovascular diseases are high. Several risk estimation algorithms based on traditionally obtainable clinical information have failed in recognition of patients at risk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=355e65625b88::ca7ca45fada2d44c8bbccb79f1852fd7
https://cris.vtt.fi/en/publications/1aa5dbfa-fbd5-4215-b61c-7989779cd508
https://cris.vtt.fi/en/publications/1aa5dbfa-fbd5-4215-b61c-7989779cd508
Autor:
Porela, Pekka, Pulkki, Kari, Helenius, Hans, Antila, Kari J., Pettersson, Kim, Wacker, Marika, Voipio-Pulkki, Liisa-Maria
Publikováno v:
In Annals of Emergency Medicine 2000 35(5):413-420
Autor:
Hautamäki, Markus, Lyytikäinen, Leo-Pekka, Mahdiani, Shadi, Eskola, Markku, Lehtimäki, Terho, Nikus, Kjell, Antila, Kari, Oksala, Niku, Hernesniemi, Jussi
Publikováno v:
Scandinavian Cardiovascular Journal; Jun2020, Vol. 54 Issue 3, p146-152, 7p
Autor:
Chen, Po-Hao, Deserno, Thomas M., Rabinovici-Cohen, Simona, Tlusty, Tal, Abutbul, Ami, Antila, Kari, Fernandez, Xosé, Grandal Rejo, Beatriz, Hexter, Efrat, Hijano Cubelos, Oliver, Khateeb, Abed, Pajula, Juha, Perek, Shaked
Publikováno v:
Proceedings of SPIE; March 2020, Vol. 11318 Issue: 1 p113181B-113181B-9, 1018639p
Autor:
Syyli, Nina, Hautamäki, Markus, Antila, Kari, Mahdiani, Shadi, Eskola, Markku, Lehtimäki, Terho, Nikus, Kjell, Lyytikäinen, Leo-Pekka, Oksala, Niku, Hernesniemi, Jussi
Publikováno v:
Open Heart (2053-3624); 6/27/2019, Vol. 6, p1-6, 6p
Publikováno v:
Antila, K, Nieminen, H J, Sequeiros, R B & Ehnholm, G 2014, ' Automatic segmentation for detecting uterine fibroid regions treated with MR-guided high intensity focused ultrasound (MR-HIFU) ', Medical Physics, vol. 41, no. 7, 073502 . https://doi.org/10.1118/1.4881319
Purpose: Up to 25% of women suffer from uterine fibroids (UF) that cause infertility, pain, and discomfort. MR-guided high intensity focused ultrasound (MR-HIFU) is an emerging technique for noninvasive, computer-guided thermal ablation of UFs. The v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=355e65625b88::36857a640691f4adaf1cccd06dccb955
https://cris.vtt.fi/en/publications/f97d610d-a6a2-458d-a1b2-86857b631236
https://cris.vtt.fi/en/publications/f97d610d-a6a2-458d-a1b2-86857b631236