Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Toso, Laura"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Toso, Laura, Poggi, Sarah, Park, Jane, Einat, Haim, Roberson, Robin, Dunlap, Veronica, Woodard, Jade, Abebe, Daniel, Spong, Catherine Y.
Publikováno v:
In American Journal of Obstetrics and Gynecology September 2005 193(3) Supplement:933-941
Autor:
Toso, Laura, Poggi, Sarah H., Abebe, Daniel, Roberson, Robin, Dunlap, Veronica, Park, Jane, Spong, Catherine Y.
Publikováno v:
In American Journal of Obstetrics and Gynecology 2005 193(4):1534-1539
Autor:
Poggi, Sarah H., Park, Jane, Toso, Laura, Abebe, Daniel, Roberson, Robin, Woodard, Jade E., Spong, Catherine Y.
Publikováno v:
In American Journal of Obstetrics and Gynecology 2005 192(3):727-733
Autor:
Dal Toso, Laura, Pfaehler, Elisabeth, Boellaard, Ronald, Schnabel, Julia A., Marsden, Paul K., Knoll, Florian, Maier, Andreas, Rueckert, Daniel, Ye, Jong Chul
Publikováno v:
Dal Toso, L, Pfaehler, E, Boellaard, R, Schnabel, J A & Marsden, P K 2019, Deep Learning Based Approach to Quantification of PET Tracer Uptake in Small Tumors . in F Knoll, A Maier, D Rueckert & J C Ye (eds), Machine Learning for Medical Image Reconstruction-2nd International Workshop, MLMIR 2019, held in Conjunction with MICCAI 2019, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11905 LNCS, Springer, pp. 181-192, 2nd International Workshop on Machine Learning for Medical Image Reconstruction, MLMIR 2019 held in Conjunction with 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, Shenzhen, China, 17/10/2019 . https://doi.org/10.1007/978-3-030-33843-5_17
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Machine Learning for Medical Image Reconstruction
Machine Learning for Medical Image Reconstruction ISBN: 9783030338428
MLMIR@MICCAI
Machine Learning for Medical Image Reconstruction-Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Machine Learning for Medical Image Reconstruction-2nd International Workshop, MLMIR 2019, held in Conjunction with MICCAI 2019, Proceedings, 181-192
STARTPAGE=181;ENDPAGE=192;TITLE=Machine Learning for Medical Image Reconstruction-2nd International Workshop, MLMIR 2019, held in Conjunction with MICCAI 2019, Proceedings
Dal Toso, L, Pfaehler, E, Boellaard, R, Schnabel, J A & Marsden, P K 2019, Deep Learning Based Approach to Quantification of PET Tracer Uptake in Small Tumors . in F Knoll, A Maier, D Rueckert & J C Ye (eds), Machine Learning for Medical Image Reconstruction-2nd International Workshop, MLMIR 2019, held in Conjunction with MICCAI 2019, Proceedings . vol. 11905, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11905 LNCS, Switzerland, pp. 181-192 . https://doi.org/10.1007/978-3-030-33843-5_17
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Machine Learning for Medical Image Reconstruction
Machine Learning for Medical Image Reconstruction ISBN: 9783030338428
MLMIR@MICCAI
Machine Learning for Medical Image Reconstruction-Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Machine Learning for Medical Image Reconstruction-2nd International Workshop, MLMIR 2019, held in Conjunction with MICCAI 2019, Proceedings, 181-192
STARTPAGE=181;ENDPAGE=192;TITLE=Machine Learning for Medical Image Reconstruction-2nd International Workshop, MLMIR 2019, held in Conjunction with MICCAI 2019, Proceedings
Dal Toso, L, Pfaehler, E, Boellaard, R, Schnabel, J A & Marsden, P K 2019, Deep Learning Based Approach to Quantification of PET Tracer Uptake in Small Tumors . in F Knoll, A Maier, D Rueckert & J C Ye (eds), Machine Learning for Medical Image Reconstruction-2nd International Workshop, MLMIR 2019, held in Conjunction with MICCAI 2019, Proceedings . vol. 11905, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11905 LNCS, Switzerland, pp. 181-192 . https://doi.org/10.1007/978-3-030-33843-5_17
In Positron Emission Tomography (PET), quantification of tumor radiotracer uptake is mainly performed using standardised uptake value and related methods. However, the accuracy of these metrics is limited by the poor spatial resolution and noise prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65ff21e9f62ac28cb90ab4329f9f15c6
https://research.vumc.nl/en/publications/02c4d7d3-b4ca-4685-a8a8-4d78f17dd2a2
https://research.vumc.nl/en/publications/02c4d7d3-b4ca-4685-a8a8-4d78f17dd2a2
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Montes, Leonardo, Fraile, Andres, Fernandez, Florencia, Teran, Dario, Reyes Toso, Laura, Ramisch, Diego, Yantorno, Silvina, Barros Schelotto, Pablo, Descalzi, Valeria, Gondolesi, Gabriel
Publikováno v:
Transplantation; September 2022, Vol. 106 Issue: 9, Number 9 Supplement 1 pS642-S643, 2p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.