An Tang
@Duotango
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Machines can learn. So can humans.
Montreal, Canada
Joined May 2009
Congratulations to M Sharifzadeh for publishing his PhD work. The visual abstract that accompanies this paper is both eloquent and stunning! I am honored to be part of this team with @HassanRivaz.
Excellent paper by our PhD student M Sharifzadeh on reducing aberration noise using deep learning without ground truth "clean" data. This work can significantly improve imaging organs that usually suffer from aberration, such as liver and the brain. A collaboration with @Duotango.
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RT @HassanRivaz: Excellent paper by our PhD student M Sharifzadeh on reducing aberration noise using deep learning without ground truth "cl….
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RT @EiasSaih: L'EIAS et la @societeducancer lancent leur cartographie de projets en #IA et #oncologie. Découvrez des pionniers.ères au Québ….
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Our team received a 'Magna Cum Laude' award at RSNA 2022 for this educational exhibit. Thanks to all co-authors for their expertise! @MRElastography @ClaudeSirlin
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The title says it all: « Liver imaging: it is time to adopt standardized terminology ».
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J'ai participé à un podcast sur l'IA en santé animé par Oriane Morriet d'Humaniteq. Mon intervention débutant à 18 min 20 sec porte sur les innovations médicales, les applications de l'IA en santé, les défis rencontrés et la formation. #CHUM #humaniteq.
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Nouvellement professeur titulaire à l’Université de Montréal, j’ai eu droit à une entrevue sur la nature de mon travail de radiologiste et chercheur. Je suis heureux d’avoir pu me réaliser professionnellement à UdeM!.
Radiologiste et chercheur au @CRCHUM, le Dr An Tang (@Duotango) devient cette année professeur titulaire au Département de radiologie, radio-oncologie et médecine nucléaire de l’UdeM @med_umontreal.
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RT @UMontreal: Radiologiste et chercheur au @CRCHUM, le Dr An Tang (@Duotango) devient cette année professeur titulaire au Département de r….
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I am very proud to share the link to this sequel paper just published in RadioGraphics: "Deep Learning: An Update for Radiologists". This educational paper, led by Phillip M. Cheng, discusses tasks and emphasizes visual explanations. @RadioGraphics .
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Je tiens à remercier chaleureusement les Fonds de recherche du Québec —Santé de soutenir ma carrière en recherche. Comme moi, joignez votre voix à celle de la #communautéFRQ et affichez votre soutien à la recherche > @FRQS1
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In Part 2 of this CAR White Paper on image de-identification and anonymization, we have included a quiz to show the risk of reidentification from surface renderings of brain MRI exams. Can you match subjects on the 3 rows? @CARadiologists @williamaparker.
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Congratulations to William Parker and all co-authors for taking this White Paper in two parts (principles and practical guidance) to the finish line! @williamaparker @CARadiologists #AI.
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I am very proud to share this work on IVIM-DWI for characterization of inflammation in chronic liver disease by Thierry Lefebvre just published in European Radiology! @thierleft @CRCHUM .
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Our team has just published an educational review which provides step-by-step practical guidance for conducting a project that involves deep learning in radiology. Available Open Access: "Deep learning workflow in radiology: a primer". @alexandrecadrin.
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Onco-Tech interviewed my teammate and Co-PI, Guy Cloutier, who explains our latest research project on quantitative ultrasound imaging of liver cancer. In French with English subtitles. @oncopole @transmedtech @FRQS1 @MEDTEQ_CA .
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Just in time for Xmas! Our review on Assessment of HCC Treatment Response with LI-RADS is now available Open Access on Insights into Imaging thanks to members of our dedicated team: @NVoizard @ClaudeSirlin @kielar_ania @takeshi_yokoo @DrRichardDo.
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I was very proud to represent the CAR and recommendations from our « White Paper on Ethical and Legal issues Related to AI in Radiology » at the House of Commons in Ottawa on behalf of our association and members of our working group! #CARadiologists.
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«Canada's radiologists are looking to artificial intelligence software to better analyze the data they collect. Do patients know what they're getting into?» @CARadiologists @UMontreal .
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