Institution
Université de Montréal
Education•Montreal, Quebec, Canada•
About: Université de Montréal is a education organization based out in Montreal, Quebec, Canada. It is known for research contribution in the topics: Population & Context (language use). The organization has 45641 authors who have published 100476 publications receiving 4004007 citations. The organization is also known as: University of Montreal & UdeM.
Papers published on a yearly basis
Papers
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University of Oxford1, Imperial College London2, Université de Montréal3, University of Washington4, University of Turin5, Leicester General Hospital6, LSU Health Sciences Center Shreveport7, Leiden University8, University of Toronto9, Columbia University10, Case Western Reserve University11, Mayo Clinic12, University of Amsterdam13, Vanderbilt University14, Western Infirmary15, German Cancer Research Center16, Johns Hopkins University17, St. Vincent's Health System18, Scott & White Hospital19, University of Florida20, University of North Carolina at Chapel Hill21, University of Alabama at Birmingham22, Jikei University School of Medicine23, The Chinese University of Hong Kong24, Nanjing University25, Austral University of Chile26, Juntendo University27, Peking University28, Erasmus University Rotterdam29, Wakayama Medical University30
TL;DR: A unique approach for the pathological classification of a glomerular disease, IgA nephropathy, is developed, in which renal pathologists first undertook extensive iterative work to define pathologic variables with acceptable inter-observer reproducibility.
779 citations
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TL;DR: A proper probabilistic model for the denoising autoencoder technique is defined, which makes it in principle possible to sample from them or rank examples by their energy, and a different way to apply score matching that is related to learning to denoise and does not require computing second derivatives is suggested.
Abstract: Denoising autoencoders have been previously shown to be competitive alternatives to restricted Boltzmann machines for unsupervised pretraining of each layer of a deep architecture. We show that a simple denoising autoencoder training criterion is equivalent to matching the score (with respect to the data) of a specific energy-based model to that of a nonparametric Parzen density estimator of the data. This yields several useful insights. It defines a proper probabilistic model for the denoising autoencoder technique, which makes it in principle possible to sample from them or rank examples by their energy. It suggests a different way to apply score matching that is related to learning to denoise and does not require computing second derivatives. It justifies the use of tied weights between the encoder and decoder and suggests ways to extend the success of denoising autoencoders to a larger family of energy-based models.
779 citations
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TL;DR: In this paper, the authors draw on five case studies in health care organizations to develop a process theory of strategic change in pluralistic settings characterized by diffuse power and divergent objectives.
Abstract: In this article, we draw on five case studies in health care organizations to develop a process theory of strategic change in pluralistic settings characterized by diffuse power and divergent objectives. The creation of a collective leadership group in which members play complementary roles appears critical in achieving change. However. collective leadership is fragile. We identify three levels of “coupling” between leaders. organization, and environment that need to be mobilized to permit change. Since it is difficult to maintain coupling at all levels simultaneously, change tends to proceed sporadically, driven by the effects of leaders' actions on their political positions.
773 citations
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Duke University1, Icahn School of Medicine at Mount Sinai2, University of Virginia3, Emory University4, University of Pennsylvania5, Harvard University6, Université de Montréal7, Cleveland Clinic8, Columbia University9, University of Toronto10, Mount Sinai Hospital11, University of Maryland, Baltimore12, National Institutes of Health13, Laval University14
TL;DR: Mitral-valve repair provided a more durable correction of mitral regurgitation but did not significantly improve survival or reduce overall adverse events or readmissions and was associated with an early hazard of increased neurologic events and supraventricular arrhythmias.
Abstract: BackgroundIn a trial comparing coronary-artery bypass grafting (CABG) alone with CABG plus mitral-valve repair in patients with moderate ischemic mitral regurgitation, we found no significant difference in the left ventricular end-systolic volume index (LVESVI) or survival after 1 year. Concomitant mitral-valve repair was associated with a reduced prevalence of moderate or severe mitral regurgitation, but patients had more adverse events. We now report 2-year outcomes. MethodsWe randomly assigned 301 patients to undergo either CABG alone or the combined procedure. Patients were followed for 2 years for clinical and echocardiographic outcomes. ResultsAt 2 years, the mean (±SD) LVESVI was 41.2±20.0 ml per square meter of body-surface area in the CABG-alone group and 43.2±20.6 ml per square meter in the combined-procedure group (mean improvement over baseline, −14.1 ml per square meter and −14.6 ml per square meter, respectively). The rate of death was 10.6% in the CABG-alone group and 10.0% in the combined-...
772 citations
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TL;DR: The potency of HOXB4 is demonstrated to enable high-level ex vivo HSC expansion and retained full lympho-myeloid repopulating potential and enhanced in vivo regenerative potential, demonstrating the feasibility of achieving significant ex vivo expansion of HSCs without functional impairment.
767 citations
Authors
Showing all 45957 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yoshua Bengio | 202 | 1033 | 420313 |
Alan C. Evans | 183 | 866 | 134642 |
Richard H. Friend | 169 | 1182 | 140032 |
Anders Björklund | 165 | 769 | 84268 |
Charles N. Serhan | 158 | 728 | 84810 |
Fernando Rivadeneira | 146 | 628 | 86582 |
C. Dallapiccola | 136 | 1717 | 101947 |
Michael J. Meaney | 136 | 604 | 81128 |
Claude Leroy | 135 | 1170 | 88604 |
Georges Azuelos | 134 | 1294 | 90690 |
Phillip Gutierrez | 133 | 1391 | 96205 |
Danny Miller | 133 | 512 | 71238 |
Henry T. Lynch | 133 | 925 | 86270 |
Stanley Nattel | 132 | 778 | 65700 |
Lucie Gauthier | 132 | 679 | 64794 |