Search Results - "Chandelier, Florent"

Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model by Byrne, Michael F, Chapados, Nicolas, Soudan, Florian, Oertel, Clemens, Linares Pérez, Milagros, Kelly, Raymond, Iqbal, Nadeem, Chandelier, Florent, Rex, Douglas K

“…In general, academic but not community endoscopists have demonstrated adequate endoscopic differentiation accuracy to make the 'resect and discard' paradigm…”
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Generalization optimizing machine learning to improve CT scan radiomics and assess immune checkpoint inhibitors' response in non-small cell lung cancer: a multicenter cohort study by Tonneau, Marion, Phan, Kim, Manem, Venkata S K, Low-Kam, Cecile, Dutil, Francis, Kazandjian, Suzanne, Vanderweyen, Davy, Panasci, Justin, Malo, Julie, Coulombe, François, Gagné, Andréanne, Elkrief, Arielle, Belkaïd, Wiam, Di Jorio, Lisa, Orain, Michele, Bouchard, Nicole, Muanza, Thierry, Rybicki, Frank J, Kafi, Kam, Huntsman, David, Joubert, Philippe, Chandelier, Florent, Routy, Bertrand

“…Recent developments in artificial intelligence suggest that radiomics may represent a promising non-invasive biomarker to predict response to immune checkpoint…”
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Bone microstructure and elastic tissue properties are reflected in QUS axial transmission measurements by Raum, Kay, Leguerney, Ingrid, Chandelier, Florent, Bossy, Emmanuel, Talmant, Maryline, Saïed, Amena, Peyrin, Françoise, Laugier, Pascal

“…Accurate clinical interpretation of the sound velocity derived from axial transmission devices requires a detailed understanding of the propagation phenomena…”
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Role of artificial intelligence in the care of patients with nonsmall cell lung cancer by Rabbani, Mohamad, Kanevsky, Jonathan, Kafi, Kamran, Chandelier, Florent, Giles, Francis J.

“…Background Lung cancer is the leading cause of cancer death worldwide. In up to 57% of patients, it is diagnosed at an advanced stage and the 5‐year survival…”
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256 – Artificial Intelligence for Real-Time Multiple Polyp Detection with Identification, Tracking, and Optical Biopsy During Colonoscopy by Guizard, Nicolas, Ghalehjegh, Sina Hamidi, Henkel, Milagros, Ding, Liqiang, Shahidi, Neal C., Jonathan, Garcia R., Lahr, Rachel, Chandelier, Florent, Rex, Doug, Byrne, Michael F.

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Mo1679 REAL-TIME ARTIFICIAL INTELLIGENCE “FULL COLONOSCOPY WORKFLOW” FOR AUTOMATIC DETECTION FOLLOWED BY OPTICAL BIOPSY OF COLORECTAL POLYPS by Byrne, Michael F., Soudan, Florian, Henkel, Milagros, Oertel, Clemens, Chapados, Nicolas, Echagüe, Francisco J., Ghalehjegh, Sina Hamidi, Guizard, Nicolas, Giguère, Sébastien, MacPhail, Margaret E., Sullivan, Andrew, Chandelier, Florent, Rex, Douglas K.

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Su1614 Artificial Intelligence (AI) in Endoscopy--Deep Learning for Optical Biopsy of Colorectal Polyps in Real-Time on Unaltered Endoscopic Videos by Byrne, Michael F, Chapados, Nicolas, Soudan, Florian, Oertel, Clemens, Linares Pérez, Milagros L, Kelly, Raymond, Iqbal, Nadeem, Chandelier, Florent, Rex, Douglas K

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Thickness analysis and reconstruction of trabecular bone and bone substitute microstructure based on fuzzy distance map using both ridge and thinning skeletonization/Analyse de l'épaisseur et reconstruction de la microstructure de l'os trabéculaire et des substitutions de l'os basées sur le plan de la distance floue en utilisant les squelettisations de la crête et de l'amincissement by Darabi, Akbar, Chandelier, Florent, Baroud, Gamal

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Application of Homomorphic Encryption in Medical Imaging by Dutil, Francis, See, Alexandre, Di Jorio, Lisa, Chandelier, Florent

“…In this technical report, we explore the use of homomorphic encryption (HE) in the context of training and predicting with deep learning (DL) models to deliver…”
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Thickness analysis and reconstruction of trabecular bone and bone substitute microstructure based on fuzzy distance map using both ridge and thinning skeletonization by Darabi, A., Chandelier, F., Baroud, G.

“…The accurate geometric analysis of microstructured biological porous media is crucial for an understanding of the geometric changes that result from diseases…”
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Structural and elastic determinants of axial transmission ultrasonic velocity in the human radius by Raum, Kay, Leguerney, Ingrid, Chandelier, Florent, Talmant, Maryline, Saied, Amena, Laugier, Pascal, Peyrin, Françoise

“…Accurate clinical interpretation of the sound velocity derived from axial transmission devices requires a detailed understanding of the propa-gation phenomena…”
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Assessment of cortical bone microstructure and material properties using high resolution scanning acoustic microscopy by Raum, Kay, Chandelier, Florent, Leguerney, Ingrid, Talmant, Maryline, Saied, Amena, Laugier, Pascal, Peyrin, Françoise

“…Combined evaluation of bone microstructural and mechanical information remains a challenging task which is required for bone phenotyping or accurate finite…”
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Adversarially Learned Mixture Model by Jesson, Andrew, Low-Kam, Cécile, Nair, Tanya, Soudan, Florian, Chandelier, Florent, Chapados, Nicolas

“…The Adversarially Learned Mixture Model (AMM) is a generative model for unsupervised or semi-supervised data clustering. The AMM is the first adversarially…”
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