Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Aymeric, Histace"'
Autor:
Yael Tudela, Mireia Majó, Neil de la Fuente, Adrian Galdran, Adrian Krenzer, Frank Puppe, Amine Yamlahi, Thuy Nuong Tran, Bogdan J. Matuszewski, Kerr Fitzgerald, Cheng Bian, Junwen Pan, Shijle Liu, Gloria Fernández-Esparrach, Aymeric Histace, Jorge Bernal
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
IntroductionColorectal cancer (CRC) is one of the main causes of deaths worldwide. Early detection and diagnosis of its precursor lesion, the polyp, is key to reduce its mortality and to improve procedure efficiency. During the last two decades, seve
Externí odkaz:
https://doaj.org/article/059a0add1a84450499dc90757c953842
Autor:
Arnaud Cannet, Camille Simon-chane, Aymeric Histace, Mohammad Akhoundi, Olivier Romain, Marc Souchaud, Pierre Jacob, Darian Sereno, Philippe Bousses, Denis Sereno
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-6 (2024)
Abstract Several Diptera species are known to transmit pathogens of medical and veterinary interest. However, identifying these species using conventional methods can be time-consuming, labor-intensive, or expensive. A computer vision-based system th
Externí odkaz:
https://doaj.org/article/0331348904644a058bfb09156aa13d33
Publikováno v:
IEEE Access, Vol 12, Pp 38927-38943 (2024)
Polyp segmentation within colonoscopy video frames using deep learning models has the potential to automate colonoscopy screening procedures. This could help improve the early lesion detection rate and in vivo characterization of polyps which could d
Externí odkaz:
https://doaj.org/article/d67781d2e7da4b0e8fb3549584bb0a88
Autor:
Arnaud Cannet, Camille Simon-Chane, Aymeric Histace, Mohammad Akhoundi, Olivier Romain, Marc Souchaud, Pierre Jacob, Darian Sereno, Petr Volf, Vit Dvorak, Denis Sereno
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Sandflies (Diptera; Psychodidae) are medical and veterinary vectors that transmit diverse parasitic, viral, and bacterial pathogens. Their identification has always been challenging, particularly at the specific and sub-specific levels, beca
Externí odkaz:
https://doaj.org/article/7435674083784fc293a5e1379a458f86
Autor:
Arnaud Cannet, Camille Simon-Chane, Aymeric Histace, Mohammad Akhoundi, Olivier Romain, Marc Souchaud, Pierre Jacob, Darian Sereno, Louis-Clément Gouagna, Philippe Bousses, Françoise Mathieu-Daude, Denis Sereno
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Hematophagous insects belonging to the Aedes genus are proven vectors of viral and filarial pathogens of medical interest. Aedes albopictus is an increasingly important vector because of its rapid worldwide expansion. In the context of globa
Externí odkaz:
https://doaj.org/article/b52358abe9ec48e29847d0a03536e07f
Autor:
Arnaud Cannet, Camille Simon-Chane, Mohammad Akhoundi, Aymeric Histace, Olivier Romain, Marc Souchaud, Pierre Jacob, Darian Sereno, Karine Mouline, Christian Barnabe, Frédéric Lardeux, Philippe Boussès, Denis Sereno
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract We present a new and innovative identification method based on deep learning of the wing interferential patterns carried by mosquitoes of the Anopheles genus to classify and assign 20 Anopheles species, including 13 malaria vectors. We provi
Externí odkaz:
https://doaj.org/article/6ec3a830d6494cde997f37ae21c762d4
Autor:
Arnaud Cannet, Camille Simon-Chane, Mohammad Akhoundi, Aymeric Histace, Olivier Romain, Marc Souchaud, Pierre Jacob, Pascal Delaunay, Darian Sereno, Philippe Bousses, Pascal Grebaut, Anne Geiger, Chantel de Beer, Dramane Kaba, Denis Sereno
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract A simple method for accurately identifying Glossina spp in the field is a challenge to sustain the future elimination of Human African Trypanosomiasis (HAT) as a public health scourge, as well as for the sustainable management of African Ani
Externí odkaz:
https://doaj.org/article/45472c14f5e94226b47568e7b751f238
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionDatasets containing only few images are common in the biomedical field. This poses a global challenge for the development of robust deep-learning analysis tools, which require a large number of images. Generative Adversarial Networks (GAN
Externí odkaz:
https://doaj.org/article/903613ee9ec54929a18b67b608dba44d
Publikováno v:
Biomedicines, Vol 11, Iss 10, p 2687 (2023)
To characterize the growth of brain organoids (BOs), cultures that replicate some early physiological or pathological developments of the human brain are usually manually extracted. Due to their novelty, only small datasets of these images are availa
Externí odkaz:
https://doaj.org/article/732983f39a304efcaeb873d9d3ed8c8d
Autor:
Romain Leenhardt, Anastasios Koulaouzidis, Aymeric Histace, Gunnar Baatrup, Sabina Beg, Arnaud Bourreille, Thomas de Lange, Rami Eliakim, Dimitris Iakovidis, Michael Dam Jensen, Martin Keuchel, Reuma Margalit Yehuda, Deirdre McNamara, Miguel Mascarenhas, Cristiano Spada, Santi Segui, Pia Smedsrud, Ervin Toth, Gian Eugenio Tontini, Eyal Klang, Xavier Dray, Uri Kopylov
Publikováno v:
Therapeutic Advances in Gastroenterology, Vol 15 (2022)
Background: Artificial intelligence (AI) is rapidly infiltrating multiple areas in medicine, with gastrointestinal endoscopy paving the way in both research and clinical applications. Multiple challenges associated with the incorporation of AI in end
Externí odkaz:
https://doaj.org/article/5a013d016c1c423ca473dfa601fbd788