Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Font Calvarons A"'
Autor:
Prado, Aldo D., Filipini, Eduardo, Ronderos, Ricardo E., Samantha Hoschke-Edwards, Agatha Kwon, Scalia, Gregory M., Afonso, Tania Regina, Tude Rodridugues, Ana Clara, Thampinathan, Babitha, Sooriyakanthan, Maala, Tsang, Wendy, Wang, Yingbin, Zhang, Yu, Zhu, Tiangang, Wang, Zhilong, Alagesan, R., Balasubramanian, S., Ananth, R.V.A., Amuthan, Vivekanandan, Bansal, Manish, Kasliwal, Ravi R., Alizadehasl, Azin, Sadeghpour, Anita, Bossone, Eduardo, Nakao, Tomoko, Kawata, Takayuki, Hirokawa, Megumi, Sawada, Naoko, Daimon, Masao, Nabeshima, Yousuke, Takeuchi, Masaki, Fajardo, Pedro Gutierrez, Ogunyankin, Kofo O., Tucay, Edwin S., Yun, Hye Rim, Park, Seung Woo, Hwang, Ji-won, Monaghan, Mark J., Kirkpatrick, James N., Miyoshi, Tatsuya, Cotella, Juan I. a, Blitz, Alexandra b, Clement, Alexandra c, d, Tomaselli, Michele c, Muraru, Denisa c, e, Badano, Luigi P. c, e, Sauber, Natascha b, Font Calvarons, Adria b, Degel, Markus b, Rucki, Agnieszka b, Blankenhagen, Michael b, Yamat, Megan a, Schreckenberg, Marcus b, Addetia, Karima a, Asch, Federico M. f, Mor-Avi, Victor a, ∗, Lang, Roberto M. a
Publikováno v:
In Journal of the American Society of Echocardiography January 2025 38(1):33-43
Autor:
Konstantin Nikolaou, Thomas Eigentler, Ahmed E Othman, Andreas Stefan Brendlin, Felix Peisen, Haidara Almansour, Saif Afat, Sebastian Faby, Adria Font Calvarons
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 9, Iss 11 (2021)
Externí odkaz:
https://doaj.org/article/70d40d4a9a3246fea4ce301e6689ab04
Autor:
Cotella, Juan I., Addetia, Karima, Blitz, Alexandra, Sauber, Natascha, Font Calvarons, Adria, Schreckenberg, Marcus, Blankenhagen, Michael, Lang, Roberto M.
Publikováno v:
In Journal of the American Society of Echocardiography November 2023 36(11):1215-1217
Autor:
Adria Font Calvarons
Publikováno v:
CVPR Workshops
Deep learning methods have proven to be very effective for the task of image denoising even when clean reference images are not available. In particular, Noise2Noise, which requires pairs of noisy images during the training phase, has been shown to y
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7d598f96a3f552f6b74373aa581a81a
https://doi.org/10.1109/cvprw53098.2021.00089
https://doi.org/10.1109/cvprw53098.2021.00089
Autor:
Cotella, Juan I., Blitz, Alexandra, Clement, Alexandra, Tomaselli, Michele, Muraru, Denisa, Badano, Luigi P., Sauber, Natascha, Font Calvarons, Adria, Degel, Markus, Rucki, Agnieszka, Blankenhagen, Michael, Yamat, Megan, Schreckenberg, Marcus, Addetia, Karima, Asch, Federico M., Mor-Avi, Victor, Lang, Roberto M., Prado, Aldo D., Filipini, Eduardo, Ronderos, Ricardo E., Samantha Hoschke-Edwards, Agatha Kwon, Scalia, Gregory M., Afonso, Tania Regina, Tude Rodridugues, Ana Clara, Thampinathan, Babitha, Sooriyakanthan, Maala, Tsang, Wendy, Wang, Yingbin, Zhang, Yu, Zhu, Tiangang, Wang, Zhilong, Alagesan, R., Balasubramanian, S., Ananth, R.V.A., Amuthan, Vivekanandan, Bansal, Manish, Kasliwal, Ravi R., Alizadehasl, Azin, Sadeghpour, Anita, Bossone, Eduardo, Nakao, Tomoko, Kawata, Takayuki, Hirokawa, Megumi, Sawada, Naoko, Daimon, Masao, Nabeshima, Yousuke, Takeuchi, Masaki, Fajardo, Pedro Gutierrez, Ogunyankin, Kofo O., Tucay, Edwin S., Yun, Hye Rim, Park, Seung Woo, Hwang, Ji-won, Monaghan, Mark J., Kirkpatrick, James N., Miyoshi, Tatsuya
Publikováno v:
Journal of the American Society of Echocardiography; January 2025, Vol. 38 Issue: 1 p33-43.e3
Akademický článek
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Autor:
Font Calvarons, Adrià
Treball de fi de grau en Biomèdica Tutors: Chong Zhang i Miguel Ángel González Ballester This project aims at building an automatic vessel segmentation pipeline to be used in medical images. Such a goal is shared by many disciplines within medicin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1610::d378eb7d3e69e78dcb2e30cc89a921ce
http://hdl.handle.net/10230/28343
http://hdl.handle.net/10230/28343
Autor:
Font Calvarons, Cristina
Publikováno v:
Biotecnologia (TFG)
DUGiDocs – Universitat de Girona
instname
DUGiDocs – Universitat de Girona
instname
Mass spectrometry (MS) is a widely used technique in many different fields such as proteomics, drug discovery and genomics. It measures the m/z ratio of the different components of a sample producing a mass spectrum, which has to be calibrated with i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=RECOLECTA___::415970b8913ddb39abb471208710e6df
http://hdl.handle.net/10256/12933
http://hdl.handle.net/10256/12933