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Institution

University of Toronto

EducationToronto, Ontario, Canada
About: University of Toronto is a education organization based out in Toronto, Ontario, Canada. It is known for research contribution in the topics: Population & Health care. The organization has 126067 authors who have published 294940 publications receiving 13536856 citations. The organization is also known as: UToronto & U of T.


Papers
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Proceedings ArticleDOI
23 Jun 2014
TL;DR: A novel deformable part-based model is proposed, which exploits both local context around each candidate detection as well as global context at the level of the scene, which significantly helps in detecting objects at all scales.
Abstract: In this paper we study the role of context in existing state-of-the-art detection and segmentation approaches. Towards this goal, we label every pixel of PASCAL VOC 2010 detection challenge with a semantic category. We believe this data will provide plenty of challenges to the community, as it contains 520 additional classes for semantic segmentation and object detection. Our analysis shows that nearest neighbor based approaches perform poorly on semantic segmentation of contextual classes, showing the variability of PASCAL imagery. Furthermore, improvements of exist ing contextual models for detection is rather modest. In order to push forward the performance in this difficult scenario, we propose a novel deformable part-based model, which exploits both local context around each candidate detection as well as global context at the level of the scene. We show that this contextual reasoning significantly helps in detecting objects at all scales.

1,327 citations

Journal ArticleDOI
Franck Pagès, Bernhard Mlecnik, Florence Marliot, Gabriela Bindea1, Gabriela Bindea2, Gabriela Bindea3, Fang Shu Ou4, Carlo Bifulco5, Alessandro Lugli6, Inti Zlobec6, Tilman T. Rau6, Martin D. Berger7, Iris D. Nagtegaal8, Elisa Vink-Börger8, Arndt Hartmann9, Carol Geppert9, Julie Kolwelter9, Susanne Merkel, Robert Grützmann, Marc Van den Eynde10, Anne Jouret-Mourin10, Alex Kartheuser10, Daniel Léonard10, Christophe Remue10, Julia Y. Wang11, Julia Y. Wang12, Prashant Bavi12, Michael H.A. Roehrl11, Michael H.A. Roehrl12, Michael H.A. Roehrl13, Pamela S. Ohashi11, Linh T. Nguyen11, Seong Jun Han11, Heather L. MacGregor11, Sara Hafezi-Bakhtiari11, Bradly G. Wouters11, Giuseppe Masucci14, Emilia Andersson14, Eva Zavadova15, Michal Vocka15, Jan Spacek15, Lubos Petruzelka15, Bohuslav Konopasek15, Pavel Dundr15, Helena Skalova15, Kristyna Nemejcova15, Gerardo Botti, Fabiana Tatangelo, Paolo Delrio, Gennaro Ciliberto, Michele Maio, Luigi Laghi16, Fabio Grizzi16, Tessa Fredriksen3, Tessa Fredriksen2, Tessa Fredriksen1, Bénédicte Buttard1, Bénédicte Buttard2, Bénédicte Buttard3, Mihaela Angelova2, Mihaela Angelova1, Mihaela Angelova3, Angela Vasaturo2, Angela Vasaturo3, Angela Vasaturo1, Pauline Maby3, Pauline Maby1, Pauline Maby2, Sarah E. Church, Helen K. Angell, Lucie Lafontaine1, Lucie Lafontaine3, Lucie Lafontaine2, Daniela Bruni2, Daniela Bruni3, Daniela Bruni1, Carine El Sissy, Nacilla Haicheur, Amos Kirilovsky, Anne Berger, Christine Lagorce, Jeffrey P. Meyers4, Christopher Paustian5, Zipei Feng5, Carmen Ballesteros-Merino5, Jeroen R. Dijkstra8, Carlijn van de Water8, Shannon van Vliet8, Nikki Knijn8, Ana Maria Mușină, Dragos Viorel Scripcariu, Boryana Popivanova17, Mingli Xu17, Tomonobu Fujita17, Shoichi Hazama18, Nobuaki Suzuki18, Hiroaki Nagano18, Kiyotaka Okuno19, Toshihiko Torigoe20, Noriyuki Sato20, Tomohisa Furuhata20, Ichiro Takemasa20, Kyogo Itoh21, P. Patel, Hemangini H. Vora, Birva Shah, Jayendrakumar B. Patel, Kruti N. Rajvik, Shashank J. Pandya, Shilin N. Shukla, Yili Wang22, Guanjun Zhang22, Yutaka Kawakami17, Francesco M. Marincola23, Paolo A. Ascierto, Daniel J. Sargent4, Bernard A. Fox5, Bernard A. Fox24, Jérôme Galon3, Jérôme Galon1, Jérôme Galon2 
TL;DR: The immunoscore provides a reliable estimate of the risk of recurrence in patients with colon cancer and supports the implementation of the consensus Immunoscore as a new component of a TNM-Immune classification of cancer.

1,326 citations

Journal ArticleDOI
TL;DR: In this paper, subjects were exposed to two aversive experiences: in the short trial, they immersed one hand in water at 14 °C for 60 seconds, and in the long trial they im- mersed the other hand at 14 "C for 30 seconds, then kept the hand in the water 30 s longer as the temperature of the water was gradually raised to 15 °C, still pain- ful but distinctly less so for most sub-ects.
Abstract: Subjects were exposed to two aversive experiences: in the short trial, they immersed one hand in water at 14 °Cfor 60 s; in the long trial, they im- mersed the other hand at 14 "C for 60 s, then kept the hand in the water 30 s longer as the temperature of the water was gradually raised to 15 °C, still pain- ful but distinctly less so for most sub- jects. Subjects were later given a choice of which trial to repeat. A significant majority chose to repeat the long trial, apparently preferring more pain over less. The results add to other evidence suggesting that duration plays a small role in retrospective evaluations of aver- sive experiences; such evaluations are often dominated by the discomfort at the worst and at the final moments of epi- sodes. you enjoying this?" or "Does it hurt?" This confidence could be unwarranted because two fallible mental processes separate retrospective assessments from the sequence of experiences that consti- tuted the original episode; an operation of memory and an act of evaluation. Some recent research has called into question the accuracy of people's mem- ories for their hedonic and affective ex- periences (Kent, 1985; Rachman & Eyrl, 1989; Thomas & Diener, 1990). This ar- ticle focuses on the process of evaluating

1,325 citations

Journal ArticleDOI
TL;DR: Future progress in understanding the causation and pathogenesis of the disorder will permit the development of new treatments that will slow, halt, or even reverse the currently inexorable progressive course of Parkinson's disease.
Abstract: At no time in the past have the basic and clinical sciences applied to Parkinson's disease been so active. Experimental therapies under study at present promise to improve on the limitations of existing treatments. Future progress in understanding the causation and pathogenesis of the disorder will permit the development of new treatments that will slow, halt, or even reverse the currently inexorable progressive course of Parkinson's disease.

1,324 citations

Journal ArticleDOI
TL;DR: An information-processing analysis of depressive maintenance and relapse is used to define the requirements for effective prevention, and to propose mechanisms through which cognitive therapy achieves its prophylactic effects.

1,324 citations


Authors

Showing all 127245 results

NameH-indexPapersCitations
Gordon H. Guyatt2311620228631
David J. Hunter2131836207050
Rakesh K. Jain2001467177727
Thomas C. Südhof191653118007
Gordon B. Mills1871273186451
George Efstathiou187637156228
John P. A. Ioannidis1851311193612
Paul M. Thompson1832271146736
Yusuke Nakamura1792076160313
Chris Sander178713233287
David R. Williams1782034138789
David L. Kaplan1771944146082
Jasvinder A. Singh1762382223370
Hyun-Chul Kim1764076183227
Deborah J. Cook173907148928
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023504
20221,822
202119,077
202017,303
201915,388
201814,130