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Mariam Aboian Profile picture
Mariam Aboian
@MariamAboian
#Scientist #Neuroradiologist #NucMed #Dreamer: Inspired by #science & friends, goal=make the world more #welcoming & open doors to students from all walks
Sep 17, 2022 • 8 tweets • 15 min read
So true!!! Research is extremely hard and requires to be always flexible! Feeling of gratitude for my lab #ImagineQuant @YaleRadiology & my new graduates
@LeonJekel @marcvonreppert @NTillmanns @Jan_Lost_
! Tried to make this maze a little more #welcoming and you were stellar! @LeonJekel @marcvonreppert @GabrielCassine1 @MerkajSara @HESubramanian on brain metastases doi.org/10.3390/cancer……
Sep 15, 2022 • 5 tweets • 12 min read
And the road to ⁦@MICCAI_Society⁩ ⁦@MiccaiS⁩ #Singapore has started! Cannot wait to present #ImagineQuant ⁦@YaleRadiology⁩ #BrainLesWorkshop 20 hrs travel totally worth it 😅😎❤️ to learn from the best #MICCAI22. ⁦@ujjwalbaid0408⁩ ⁦@SpyridonBakas⁩ ImageImage #BrainLesWorkshop @MICCAI_Society @MiccaiStudents @WomenInMICCAI #ClinicalTranslation of #ML, #PACS based ML, #Neuroradiology, #GBM, Asking questions that address #radiologists & #oncologists real clinical needs! 🎊🦄🎉 #Industry #Collab @MingDeLin1234 brainlesion-workshop.org ImageImageImageImage
May 30, 2022 • 8 tweets • 12 min read
Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities mdpi.com/1648502 #mdpicancers via @Cancers_MDPI @YaleRadiology @MerkajSara @Ryan_Bahar are an outstanding team that wrote this exciting review on application of #ML to the study of #glioma imaging. After reviewing over 12,000 articles and extracting information from over 80 articles they published their systematic review in @FrontOncology.
May 15, 2022 • 16 tweets • 11 min read
Excited to report that @YaleRadiology @Yaleneuroradio1 #BTRG_qMIT has 14 works presented @TheASNR, with 6 of them being oral scientific presentations. @radiology_ninja @AjayMalhotraRad @SamPayabvash #physician_scientists #mentorship 1/15 @YaleRadiology @Yaleneuroradio1 @TheASNR @radiology_ninja @AjayMalhotraRad @SamPayabvash “Systematic literature review on noninvasive predicting O6 Methylguanine-DNA Methyltransferase status in Glioblastoma, using machine learning algorithms on Pre-therapy MR Imaging” Monday 5/16 9:30 am-10:45 am Gibson room @Jan_Lost_ 2/15
Apr 22, 2022 • 7 tweets • 6 min read
Available Today: Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis frontiersin.org/article/10.338… Great job @MerkajSara and @Ryan_Bahar! @YaleMed @YaleRadiology @YaleCancer ML has been used on medical images of gliomas since early 90s but has taken off in 2017! @MerkajSara @Ryan_Bahar #BTRG_qMIT