Our amazing third year undergraduate student Marcus is presenting his poster on radiomics for esophageal cancer at the Medical Biophysics Student Research Symposium! @WesternU@SchulichMedDent
New publication from our lab! Check out the work by our amazing undergrad Philipp and @TriciaChinnery validating a radiomic signature in oropharyngeal cancer! #radiomics @RadiotherapyOn1 https://t.co/UaAocYAx5V
New publication! Check out our latest paper that was recently published in #SPIE_JMI by @JarydChristie looking at multimodal radiomics in lung cancer! https://t.co/0t0PvqQnPN
Congratulations again to our inaugural COMP Inclusion, Diversity, Equity, and Accessibility (IDEA) Award recipients @JarydChristie and @BasharatFateen ๐๐ฝ Please join us in congratulating them if youโre at #COMPASM2022 in Quebec City!
A big congratulations to @JarydChristie and @TriciaChinnery on winning best oral and pitch awards at the Imaging Network of Ontario Symposium! #ImNO2022
Congratulations to @edwardwang225 (@SchulichMedDent MD/PhD student) for being awarded a RSNA Trainee Research Prize in the Pediatric category for the research project, "MRI-based Radiomics And Machine Learning For Ependymoma: An International Study"!
Congratulations to @JarydChristie for being awarded the Graduate Seminar Award last week in the Department of Medical Biophysics for the most effective seminar by a junior graduate student last year! @SchulichMedDent
#LHRD2021 research posters are live! Explore this fantastic display of research in #ldnont, with more than 400 trainees, students, residents and fellows participating. Topics range from protein interactions to imaging for knee implants. Posters are available to view until May 18.
Weโre proud to recognize four 2021 OICR Rising Stars Award recipients for their academic achievements, demonstrated excellence in cancer research, and leadership and engagement in the cancer research community
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For our #MbpFeature, weโre showcasing a review on the use of #AI for outcome prediction in #lungcancer by @Jaryd Christie. โArtificial intelligence in lung cancer: bridging the gap between computational power and clinical decision-makingโ ๐ฌ๐งฌ๐
https://t.co/ir91ScEhKh
If you are attending the #SPIEMedicalimaging Digital Forum be sure to check out the paper entitled "A multi-modality radiomics-based model for predicting recurrence in non-small cell lung cancer" by @JarydChristie! https://t.co/RZ48ODvLbz @SPIEtweets
For our #MbpFeature, weโre showcasing a review on the field of #radiomics for #headandneck cancer by @TriciaChinnery. โUtilizing artificial intelligence for head and neck cancer outcomes prediction from imagingโ
https://t.co/wZV4sZ7A6h
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