J
Jacques Marescaux
Researcher at University of Strasbourg
Publications - 534
Citations - 18637
Jacques Marescaux is an academic researcher from University of Strasbourg. The author has contributed to research in topics: Medicine & Augmented reality. The author has an hindex of 56, co-authored 504 publications receiving 16307 citations. Previous affiliations of Jacques Marescaux include Toho University & European Institute.
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Journal ArticleDOI
The Mechanism of Diabetes Control After Gastrointestinal Bypass Surgery Reveals a Role of the Proximal Small Intestine in the Pathophysiology of Type 2 Diabetes
Francesco Rubino,Antonello Forgione,David E. Cummings,Michel Vix,Donatella Gnuli,Geltrude Mingrone,Marco Castagneto,Jacques Marescaux +7 more
TL;DR: This study shows that bypassing a short segment of proximal intestine directly ameliorates type 2 diabetes, independently of effects on food intake, body weight, malabsorption, or nutrient delivery to the hindgut.
Journal ArticleDOI
Transatlantic robot-assisted telesurgery
Jacques Marescaux,Joel Leroy,Michel Gagner,Francesco Rubino,Didier Mutter,Michel Vix,Steven E. Butner,Michelle Smith +7 more
TL;DR: It is shown that robot-assisted remote telesurgery can be safely carried out across transoceanic distances and will eliminate geographical constraints and make surgical expertise available throughout the world, improving patient treatment and surgical training.
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Surgery without scars : Report of transluminal cholecystectomy in a Human Being
Jacques Marescaux,Bernard Dallemagne,Silvana Perretta,Arnaud Wattiez,Didier Mutter,Dimitri Coumaros +5 more
TL;DR: Transluminal endoscopic cholecystectomy in a woman via a transvaginal approach is feasible and safe and might be the next surgical evolution.
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Effect of Duodenal–Jejunal Exclusion in a Non-obese Animal Model of Type 2 Diabetes: A New Perspective for an Old Disease
TL;DR: Results of this study support the hypothesis that the bypass of duodenum and jejunum can directly control type 2 diabetes and not secondarily to weight loss or treatment of obesity and suggest a potential role of the proximal gut in the pathogenesis of the disease.
Journal ArticleDOI
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
Andru Putra Twinanda,Sherif Shehata,Didier Mutter,Jacques Marescaux,Michel de Mathelin,Nicolas Padoy +5 more
TL;DR: In this article, the authors proposed a novel method for phase recognition that uses a convolutional neural network (CNN) to automatically learn features from cholecystectomy videos and that relies uniquely on visual information.