Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Lisa Di Jorio"'
Autor:
Marion Tonneau, Kim Phan, Venkata S. K. Manem, Cecile Low-Kam, Francis Dutil, Suzanne Kazandjian, Davy Vanderweyen, Justin Panasci, Julie Malo, François Coulombe, Andréanne Gagné, Arielle Elkrief, Wiam Belkaïd, Lisa Di Jorio, Michele Orain, Nicole Bouchard, Thierry Muanza, Frank J. Rybicki, Kam Kafi, David Huntsman, Philippe Joubert, Florent Chandelier, Bertrand Routy
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundRecent developments in artificial intelligence suggest that radiomics may represent a promising non-invasive biomarker to predict response to immune checkpoint inhibitors (ICIs). Nevertheless, validation of radiomics algorithms in independe
Externí odkaz:
https://doaj.org/article/1c9b27366e80483d88227a18e19ca975
Autor:
Mahsa Taghiakbari, Sina Hamidi Ghalehjegh, Emmanuel Jehanno, Tess Berthier, Lisa di Jorio, Saber Ghadakzadeh, Alan Barkun, Mark Takla, Mickael Bouin, Eric Deslandres, Simon Bouchard, Sacha Sidani, Yoshua Bengio, Daniel von Renteln
Publikováno v:
Journal of the Canadian Association of Gastroenterology.
Background and aims Identification and photo-documentation of the ileocecal valve (ICV) and appendiceal orifice (AO) confirm completeness of colonoscopy examinations. We aimed to develop and test a deep convolutional neural network (DCNN) model that
Autor:
Marion Tonneau, Kim Phan, Cécile Low-Kam, Francis Dutil, Suzanne Kazandjian, Davy Vanderweyen, Justin Panasci, Julie Malo, François Coulombe, Arielle Elkrief, Wiam Belkaïd, Lisa Di Jorio, Michèle Orain, Nicole Bouchard, Thierry Muanza, Kam Kafi, Florent Chandelier, Philippe Joubert, Bertrand Routy
Publikováno v:
Regular and Young Investigator Award Abstracts.
Autor:
Margaux Luck, Yoshua Bengio, Lisa Di Jorio, Tess Berthier, Francis Dutil, Devon Hjelm, Tristan Sylvain
Publikováno v:
ICASSP
In hospitals, data are siloed to specific information systems that make the same information available under different modalities such as the different medical imaging exams the patient undergoes (CT scans, MRI, PET, Ultrasound, etc.) and their assoc
Autor:
Thomas Fevens, Lisa Di Jorio, Francis Dutil, Mohammad Havaei, Ahmad Pesaranghader, Qicheng Lao
Publikováno v:
ICCV
Synthesizing images from a given text description involves engaging two types of information: the content, which includes information explicitly described in the text (e.g., color, composition, etc.), and the style, which is usually not well describe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11b455cb3e779415da797b574e83ddbb
http://arxiv.org/abs/1908.05324
http://arxiv.org/abs/1908.05324
Autor:
Lisa Di Jorio, Saeid Asgari Taghanaki, Yoshua Bengio, Ghassan Hamarneh, Mohammad Havaei, Tess Berthier, Francis Dutil
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030322250
MICCAI (6)
MICCAI (6)
The scarcity of richly annotated medical images is limiting supervised deep learning based solutions to medical image analysis tasks, such as localizing discriminatory radiomic disease signatures. Therefore, it is desirable to leverage unsupervised a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::597b2efd6df90c85bb8a427813be506e
https://doi.org/10.1007/978-3-030-32226-7_82
https://doi.org/10.1007/978-3-030-32226-7_82
Autor:
Chris Pal, Eugene Vorontsov, Samuel Kadoury, Gabriel Chartrand, Adriana Romero, Lisa Di Jorio, An Tang, Mahsa Shakeri, Yoshua Bengio, Michal Drozdzal
Publikováno v:
Medical image analysis. 44
In this paper, we introduce a simple, yet powerful pipeline for medical image segmentation that combines Fully Convolutional Networks (FCNs) with Fully Convolutional Residual Networks (FC-ResNets). We propose and examine a design that takes particula
Autor:
An Tang, Simon Turcotte, Réal Lapointe, Philippe Régnier, Chris Pal, Samuel Kadoury, Lisa Di Jorio, Eugene Vorontsov, Franck Vandenbroucke-Menu, Milena Cerny
Publikováno v:
Radiol Artif Intell
PURPOSE: To evaluate the performance, agreement, and efficiency of a fully convolutional network (FCN) for liver lesion detection and segmentation at CT examinations in patients with colorectal liver metastases (CLMs). MATERIALS AND METHODS: This ret
Autor:
Lisa Di Jorio
Publikováno v:
Techniques et sciences informatiques. 30:995-1017
Coupling data mining and data warehousing allows for discovering relevant information from data cubes. In this framework, several methods have been proposed, aiming for instance at discovering association rules or sequential patterns. However, no met
Autor:
Lisa, Di Jorio
Avec le développement des nouvelles technologies d'analyse (comme par exemple les puces à ADN) et de gestion de l'information (augmentation des capacités de stockage), le domaine de la santé a particulièrement évolué ces dernières années. En
Externí odkaz:
http://tel.archives-ouvertes.fr/tel-00577212
http://tel.archives-ouvertes.fr/docs/00/57/72/12/PDF/manuscrit_dijorio.pdf
http://tel.archives-ouvertes.fr/docs/00/57/72/12/PDF/manuscrit_dijorio.pdf