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Marc Souchaud

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Clinics and Research in Hepatology and Gastroenterology|December 2, 2024
Toward automated small bowel capsule endoscopy reporting using a summarizing machine learning algorithm: The SUM UP studyCharles Houdeville, Marc Souchaud, Romain Leenhardt, et al.
Scientific Data|January 3, 2024
An annotated wing interferential pattern dataset of dipteran insects of medical interest for deep learningArnaud Cannet, Camille Simon-Chane, Aymeric Histace, et al.
Scientific Reports|July 2, 2025
Application of wings interferential patterns (WIPs) and deep learning (DL) to classify some Culex. spp (Culicidae) of medical or veterinary importanceArnaud Cannet, Camille Simon Chane, Aymeric Histace, et al.
Journal of Clinical Medicine|May 28, 2022
Evaluation by a Machine Learning System of Two Preparations for Small Bowel Capsule Endoscopy: The BUBS (Burst Unpleasant Bubbles with Simethicone) StudyCharles Houdeville, Romain Leenhardt, Marc Souchaud, et al.
Scientific Reports|December 4, 2023
Species identification of phlebotomine sandflies using deep learning and wing interferential pattern (WIP)Arnaud Cannet, Camille Simon-Chane, Aymeric Histace, et al.
Endoscopy|November 2, 2020
A neural network-based algorithm for assessing the cleanliness of small bowel during capsule endoscopyRomain Leenhardt, Marc Souchaud, Guy Houist, et al.
Digestive and Liver Disease : Official Journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver|September 26, 2021
A multisystem-compatible deep learning-based algorithm for detection and characterization of angiectasias in small-bowel capsule endoscopy. A proof-of-concept studyCharles Houdeville, Marc Souchaud, Romain Leenhardt, et al.
Scientific Reports|October 17, 2023
Wing Interferential Patterns (WIPs) and machine learning for the classification of some Aedes species of medical interestArnaud Cannet, Camille Simon-Chane, Aymeric Histace, et al.
Scientific Reports|August 25, 2023
Deep learning and wing interferential patterns identify Anopheles species and discriminate amongst Gambiae complex speciesArnaud Cannet, Camille Simon-Chane, Mohammad Akhoundi, et al.
Scientific Reports|November 23, 2022
Wing Interferential Patterns (WIPs) and machine learning, a step toward automatized tsetse (Glossina spp.) identificationArnaud Cannet, Camille Simon-Chane, Mohammad Akhoundi, et al.
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Showing results (1-10 of 10) with videos related to

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Clinics and Research in Hepatology and Gastroenterology|December 2, 2024
Toward automated small bowel capsule endoscopy reporting using a summarizing machine learning algorithm: The SUM UP studyCharles Houdeville, Marc Souchaud, Romain Leenhardt, et al.
Scientific Data|January 3, 2024
An annotated wing interferential pattern dataset of dipteran insects of medical interest for deep learningArnaud Cannet, Camille Simon-Chane, Aymeric Histace, et al.
Scientific Reports|July 2, 2025
Application of wings interferential patterns (WIPs) and deep learning (DL) to classify some Culex. spp (Culicidae) of medical or veterinary importanceArnaud Cannet, Camille Simon Chane, Aymeric Histace, et al.
Journal of Clinical Medicine|May 28, 2022
Evaluation by a Machine Learning System of Two Preparations for Small Bowel Capsule Endoscopy: The BUBS (Burst Unpleasant Bubbles with Simethicone) StudyCharles Houdeville, Romain Leenhardt, Marc Souchaud, et al.
Scientific Reports|December 4, 2023
Species identification of phlebotomine sandflies using deep learning and wing interferential pattern (WIP)Arnaud Cannet, Camille Simon-Chane, Aymeric Histace, et al.
Endoscopy|November 2, 2020
A neural network-based algorithm for assessing the cleanliness of small bowel during capsule endoscopyRomain Leenhardt, Marc Souchaud, Guy Houist, et al.
Digestive and Liver Disease : Official Journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver|September 26, 2021
A multisystem-compatible deep learning-based algorithm for detection and characterization of angiectasias in small-bowel capsule endoscopy. A proof-of-concept studyCharles Houdeville, Marc Souchaud, Romain Leenhardt, et al.
Scientific Reports|October 17, 2023
Wing Interferential Patterns (WIPs) and machine learning for the classification of some Aedes species of medical interestArnaud Cannet, Camille Simon-Chane, Aymeric Histace, et al.
Scientific Reports|August 25, 2023
Deep learning and wing interferential patterns identify Anopheles species and discriminate amongst Gambiae complex speciesArnaud Cannet, Camille Simon-Chane, Mohammad Akhoundi, et al.
Scientific Reports|November 23, 2022
Wing Interferential Patterns (WIPs) and machine learning, a step toward automatized tsetse (Glossina spp.) identificationArnaud Cannet, Camille Simon-Chane, Mohammad Akhoundi, et al.
Pageof 1