Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Filippo Arcadu"'
Autor:
Filippo Arcadu, Fethallah Benmansour, Andreas Maunz, Jeff Willis, Zdenka Haskova, Marco Prunotto
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-6 (2020)
A Correction to this paper has been published: https://doi.org/10.1038/s41746-020-00365-5.
Externí odkaz:
https://doaj.org/article/7d251db9d5044a3da4902aeddb8c339a
Autor:
Citlalli Gámez Serna, Fernando Romero-Palomo, Filippo Arcadu, Jürgen Funk, Vanessa Schumacher, Andrew Janowczyk
Publikováno v:
Journal of Pathology Informatics, Vol 13, Iss , Pp 100126- (2022)
Identifying organs within histology images is a fundamental and non-trivial step in toxicological digital pathology workflows as multiple organs often appear on the same whole slide image (WSI). Previous works in automated tissue classification have
Externí odkaz:
https://doaj.org/article/26ed73850be347b3b565a41fc4a54867
Autor:
Benjamin Gutierrez Becker, Filippo Arcadu, Andreas Thalhammer, Citlalli Gamez Serna, Owen Feehan, Faye Drawnel, Young S. Oh, Marco Prunotto
Publikováno v:
Therapeutic Advances in Gastrointestinal Endoscopy, Vol 14 (2021)
Introduction: The Mayo Clinic Endoscopic Subscore is a commonly used grading system to assess the severity of ulcerative colitis. Correctly grading colonoscopies using the Mayo Clinic Endoscopic Subscore is a challenging task, with suboptimal rates o
Externí odkaz:
https://doaj.org/article/186ebca058e7419aafafd95b1ca5d689
Autor:
Jakub Nalepa, Krzysztof Kotowski, Bartosz Machura, Szymon Adamski, Oskar Bozek, Bartosz Eksner, Bartosz Kokoszka, Tomasz Pekala, Mateusz Radom, Marek Strzelczak, Lukasz Zarudzki, Agata Krason, Filippo Arcadu, Jean Tessier
Tumor burden assessment by magnetic resonance imaging (MRI) is central to the evaluation of treatment response for glioblastoma. This assessment is complex to perform and associated with high variability due to the high heterogeneity and complexity o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9ed07c1efe844cb3288fc5fba0228c7
http://arxiv.org/abs/2209.01402
http://arxiv.org/abs/2209.01402
Autor:
Andreas Maunz, Filippo Arcadu, Savita Madhusudhan, Yvonna Li, Fethallah Benmansour, Yan-Ping Zhang, Yalin Zheng, Jayashree Sahni, Thomas Albrecht
Publikováno v:
Journal of Personalized Medicine
Volume 11
Issue 6
Journal of Personalized Medicine, Vol 11, Iss 524, p 524 (2021)
Volume 11
Issue 6
Journal of Personalized Medicine, Vol 11, Iss 524, p 524 (2021)
Background: To evaluate the performance of a machine-learning (ML) algorithm to detect and classify choroidal neovascularization (CNV), secondary to age-related macular degeneration (AMD) on spectral-domain optical coherence tomography (SD-OCT) image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ba6244dab685e9f8d45378f0c8a398d
Autor:
Faye Drawnel, Marco Prunotto, Young S Oh, Andreas Thalhammer, Filippo Arcadu, Benjamin Gutierrez Becker, Citlalli Gamez Serna, Owen Feehan
Publikováno v:
Therapeutic Advances in Gastrointestinal Endoscopy, Vol 14 (2021)
Therapeutic Advances in Gastrointestinal Endoscopy
Therapeutic Advances in Gastrointestinal Endoscopy
Introduction: The Mayo Clinic Endoscopic Subscore is a commonly used grading system to assess the severity of ulcerative colitis. Correctly grading colonoscopies using the Mayo Clinic Endoscopic Subscore is a challenging task, with suboptimal rates o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90d818891aa813e7ed92ad6e2aa135e3
https://doaj.org/article/186ebca058e7419aafafd95b1ca5d689
https://doaj.org/article/186ebca058e7419aafafd95b1ca5d689
Autor:
Fethallah Benmansour, Zdenka Haskova, Marco Prunotto, Jeffrey R. Willis, Filippo Arcadu, Andreas Maunz
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-6 (2020)
NPJ Digital Medicine
NPJ Digital Medicine
The global burden of diabetic retinopathy (DR) continues to worsen and DR remains a leading cause of vision loss worldwide. Here, we describe an algorithm to predict DR progression by means of deep learning (DL), using as input color fundus photograp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1626fab7b36d2e68520cf812af7bc2a6
https://doi.org/10.1038/s41746-020-00365-5
https://doi.org/10.1038/s41746-020-00365-5
Autor:
R Sabouni, M Mangia, Marco Prunotto, B Gutierrez Becker, Filippo Arcadu, Marco Daperno, Young S Oh, Whitehill, D Guaraglia, M Schwartz, E. Giuffrida
Publikováno v:
Journal of Crohn's and Colitis. 15:S173-S174
Background Endoscopic assessment is a critical procedure to assess the improvement of mucosa and response to therapy, and therefore a pivotal component of clinical trial endpoints for IBD. Central scoring of endoscopic videos is challenging and time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f0c8e008d71657332702a10fd9d8f85
https://doi.org/10.1093/ecco-jcc/jjab076.198
https://doi.org/10.1093/ecco-jcc/jjab076.198
Autor:
Marco Prunotto, B Gutierrez Becker, Filippo Arcadu, C Gamez Serna, Andreas Thalhammer, Young S Oh, Faye M. Drawnel
Publikováno v:
Journal of Crohn's and Colitis. 14:S246-S247
Background Several approaches have been proposed to use deep learning to automatically assess the severity of ulcerative colitis (UC) in terms of Mayo Clinic Endoscopic Subscore (MCES) from colonoscopy videos. These previous methods have been trained
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25bb355dbf90cac87bf222bf7900b2a6
https://doi.org/10.1093/ecco-jcc/jjz203.341
https://doi.org/10.1093/ecco-jcc/jjz203.341
Autor:
Andreas Maunz, Zdenka Haskova, Jeffrey R. Willis, Marco Prunotto, Filippo Arcadu, Fethallah Benmansour
Publikováno v:
NPJ Digital Medicine
npj Digital Medicine, Vol 2, Iss 1, Pp 1-9 (2019)
npj Digital Medicine, Vol 2, Iss 1, Pp 1-9 (2019)
The global burden of diabetic retinopathy (DR) continues to worsen and DR remains a leading cause of vision loss worldwide. Here, we describe an algorithm to predict DR progression by means of deep learning (DL), using as input color fundus photograp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::443b339b3ae2009c53a1503d0d2d6f35
http://europepmc.org/articles/PMC6754451
http://europepmc.org/articles/PMC6754451