Estimation of injury costs: financial damage of English Premier League teams’ underachievement due to injuries von Eliakim, Eyal, Morgulev, Elia, Lidor, Ronnie, Meckel, Yoav

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Seasonal Variations in Physical Fitness and Performance Indices of Elite Soccer Players von Meckel, Yoav, Doron, Ofer, Eliakim, Eyal, Eliakim, Alon

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Financial Costs of Injuries in the English Premier League von Eliakim, Eyal

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Practical Applications of Data Analytics in Professional Football von Eliakim, Eyal

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Rethinking extra-time in major national football tournaments von Eliakim, Alon, Taoz, Eyal, Nemet, Dan, Eliakim, Eyal, Ben-Zaken, Sigal, Meckel, Yoav

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Pre-Season Fitness Level and Injury Rate in Professional Soccer – A Prospective Study von Eliakim, Eyal, Doron, Ofer, Meckel, Yoav, Nemet, Dan, Eliakim, Alon

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Pre-season Fitness Level and Injury Rate in Professional Soccer – A Prospective Study von Eliakim, Eyal, Doron, Ofer, Meckel, Yoav, Nemet, Dan, Eliakim, Alon

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PREDICTING AND MITIGATING ATHLETE INJURY RISK von BROWN, Tal, ELIAKIM, Eyal

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PREDICTING AND MITIGATING ATHLETE INJURY RISK von BROWN, Tal, ELIAKIM, Eyal

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Predicting and mitigating athlete injury risk von BROWN, Tal, ELIAKIM, Eyal

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Predicting And Mitigating Athlete Injury Risk von Brown, Tal, Eliakim, Eyal

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PREDICTING AND MITIGATING ATHLETE INJURY RISK von BROWN, Tal, ELIAKIM, Eyal

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Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis von Soffer, Shelly, Klang, Eyal, Shimon, Orit, Nachmias, Noy, Eliakim, Rami, Ben-Horin, Shomron, Kopylov, Uri, Barash, Yiftach

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Deep learning algorithms for automated detection of Crohn’s disease ulcers by video capsule endoscopy von Klang, Eyal, Barash, Yiftach, Margalit, Reuma Yehuda, Soffer, Shelly, Shimon, Orit, Albshesh, Ahmad, Ben-Horin, Shomron, Amitai, Marianne Michal, Eliakim, Rami, Kopylov, Uri

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Spatiotemporal analysis of small bowel capsule endoscopy videos for outcomes prediction in Crohn’s disease von Kellerman, Raizy, Bleiweiss, Amit, Samuel, Shimrit, Margalit-Yehuda, Reuma, Aflalo, Estelle, Barzilay, Oranit, Ben-Horin, Shomron, Eliakim, Rami, Zimlichman, Eyal, Soffer, Shelly, Klang, Eyal, Kopylov, Uri

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Prediction of patency capsule retention in known Crohn's disease patients by using magnetic resonance imaging von Rozendorn, Noa, Klang, Eyal, MD, Lahat, Adi, MD, Yablecovitch, Doron, MD, Kopylov, Uri, MD, Eliakim, Abraham, MD, PhD, Ben-Horin, Shomron, MD, PhD, Amitai, Michal Marianne, MD

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Capsule Endoscopy in Inflammatory Bowel Disease: Panenteric Capsule Endoscopy and Application of Artificial Intelligence von Ukashi, Offir, Soffer, Shelly, Klang, Eyal, Eliakim, Rami, Ben-Horin, Shomron, Kopylov, Uri

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A review of magnetic resonance enterography-based indices for quantification of Crohn’s disease inflammation von Rozendorn, Noa, Amitai, Marianne Michal, Eliakim, Rami Abraham, Kopylov, Uri, Klang, Eyal

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Automated Detection of Crohn’s Disease Intestinal Strictures on Capsule Endoscopy Images Using Deep Neural Networks von Klang, Eyal, Grinman, Ana, Soffer, Shelly, Margalit Yehuda, Reuma, Barzilay, Oranit, Amitai, Michal Marianne, Konen, Eli, Ben-Horin, Shomron, Eliakim, Rami, Barash, Yiftach, Kopylov, Uri

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Key research questions for implementation of artificial intelligence in capsule endoscopy von Leenhardt, Romain, Koulaouzidis, Anastasios, Histace, Aymeric, Baatrup, Gunnar, Beg, Sabina, Bourreille, Arnaud, de Lange, Thomas, Eliakim, Rami, Iakovidis, Dimitris, Dam Jensen, Michael, Keuchel, Martin, Margalit Yehuda, Reuma, McNamara, Deirdre, Mascarenhas, Miguel, Spada, Cristiano, Segui, Santi, Smedsrud, Pia, Toth, Ervin, Tontini, Gian Eugenio, Klang, Eyal, Dray, Xavier, Kopylov, Uri

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