Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Hüseyin Firat"'
Autor:
Yvan Devaux, Lu Zhang, Andrew I. Lumley, Kanita Karaduzovic-Hadziabdic, Vincent Mooser, Simon Rousseau, Muhammad Shoaib, Venkata Satagopam, Muhamed Adilovic, Prashant Kumar Srivastava, Costanza Emanueli, Fabio Martelli, Simona Greco, Lina Badimon, Teresa Padro, Mitja Lustrek, Markus Scholz, Maciej Rosolowski, Marko Jordan, Timo Brandenburger, Bettina Benczik, Bence Agg, Peter Ferdinandy, Jörg Janne Vehreschild, Bettina Lorenz-Depiereux, Marcus Dörr, Oliver Witzke, Gabriel Sanchez, Seval Kul, Andy H. Baker, Guy Fagherazzi, Markus Ollert, Ryan Wereski, Nicholas L. Mills, Hüseyin Firat
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Tools for predicting COVID-19 outcomes enable personalized healthcare, potentially easing the disease burden. This collaborative study by 15 institutions across Europe aimed to develop a machine learning model for predicting the risk of in-h
Externí odkaz:
https://doaj.org/article/54234423656547d89b595a58c9921da7
Autor:
Simona Greco, Alisia Made’, Martina Mutoli, Lu Zhang, Santiago Nicolas Piella, Mélanie Vausort, Andrew I. Lumley, Antonio Paolo Beltrami, Prashant Kumar Srivastava, Valentina Milani, Sara Boveri, Marco Ranucci, Laura Valentina Renna, Hüseyin Firat, Antonino Bruno, Gaia Spinetti, Costanza Emanueli, Yvan Devaux, Fabio Martelli
Publikováno v:
Journal of Translational Medicine, Vol 21, Iss 1, Pp 1-15 (2023)
Abstract Background Even after 3 years from SARS-CoV-2 identification, COVID-19 is still a persistent and dangerous global infectious disease. Significant improvements in our understanding of the disease pathophysiology have now been achieved. Noneth
Externí odkaz:
https://doaj.org/article/d3354809ea274e9b8a276ac3de755677
Autor:
Alisia Madè, Simona Greco, Melanie Vausort, Marios Miliotis, Eric Schordan, Shounak Baksi, Lu Zhang, Ekaterina Baryshnikova, Marco Ranucci, Rosanna Cardani, Guy Fagherazzi, Markus Ollert, Spyros Tastsoglou, Giannis Vatsellas, Artemis Hatzigeorgiou, Hüseyin Firat, Yvan Devaux, Fabio Martelli
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Coronavirus disease-2019 (COVID-19) can be asymptomatic or lead to a wide symptom spectrum, including multi-organ damage and death. Here, we explored the potential of microRNAs in delineating patient condition and predicting clinical outcome
Externí odkaz:
https://doaj.org/article/584c3cc3aee14265a60c9afbce43330e
Publikováno v:
Gazi Üniversitesi Fen Bilimleri Dergisi, Vol 10, Iss 2, Pp 242-258 (2022)
Hiperspektral uzaktan algılama görüntüleri (HUAG), yüzlerce spektral bant içeren ve iki uzamsal-bir spektral boyuta sahip 3B görüntü küpleridir. Sınıflandırma, HUAG’de en popüler konulardan biridir. Son yıllarda HUAG sınıflandırma
Externí odkaz:
https://doaj.org/article/5c7ffafc34234b688e8f975ca56eacfc
Publikováno v:
Frontiers in Immunology, Vol 10 (2019)
MicroRNAs (miRNAs) are small non-coding single-stranded RNAs that represent important posttranscriptional regulators of protein-encoding genes. In particular, miRNAs play key roles in regulating cellular processes such as proliferation, migration, an
Externí odkaz:
https://doaj.org/article/72579e76928c492fb669565270307c6b
Akademický článek
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Publikováno v:
Neural Computing and Applications. 35:4479-4497
Autor:
Hüseyin FIRAT, Davut HANBAY
Publikováno v:
Türk Doğa ve Fen Dergisi. 11:19-28
Hiperspektral görüntü sınıflandırma, uzaktan algılanan görüntülerin analizi için yaygın olarak kullanılmaktadır. Bir hiperspektral görüntü, uygulamalarda büyük potansiyele sahip olan yer nesnelerinin zengin spektral bilgilerini ve
Akademický článek
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Publikováno v:
Volume: 10, Issue: 1 35-46
Balkan Journal of Electrical and Computer Engineering
Balkan Journal of Electrical and Computer Engineering
Convolutional neural networks (CNNs) are one of the popular deep learning methods used to solve the hyperspectral image classification (HSIC) problem. CNN has a strong feature learning ability that can ensure more distinctive features for higher qual