Mariam Aboian Profile picture
May 15 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
“Semi-Automated Longitudinal Lesion Tracking In PACS Reveals High Proportion of Metastatic Lesions Showing Mixed Response To Radiosurgery.” Beekman, Brain Tumors 1: Tuesday 1:07 pm – 1:12 pm @LeonJekel @TheASNR 3/15
“Analyzing Trends in the Utilization of Machine Learning Algorithms for Glioma Molecular Subtype Classification using Pre-Therapy MR Imaging: A Systematic Literature Review” Beekman, Tuesday May 17th, 1-2:30 pm @tejverma0723 @TheASNR 4/15
“Applying a Glioma-Trained Deep Learning Automatic 3D Segmentation Algorithm for Primary CNS Lymphoma Segmentation – Preliminary Results.”Regent, Wed May 18th 1:42 pm-1:47 pm @DixeIrene @YaleRadRes @TheASNR 5/15
“Development of Novel PACS-based Deep Learning Brain Tumor Segmentation Algorithm for Clinical Implementation” Regent, Wed, May 18, 1:30-3 pm @MerkajSara #Neurosurgery @TheASNR 6/15
“Development of PACS-based Autosegmentation Linked to Clinically Applicable Machine Learning Tool for Preoperative Glioma Grade Prediction” Regent, Wed, May 18, 1:30-3 pm @MerkajSara #Neurosurgery @TheASNR 7/15
“Childrens Brain Tumor Network: Primer for Neuroradiologists to start research projects with CBTN” Ed Exhibit @NTillmanns #Neurosurgery @TheASNR 8/15
“It’s Time to Embrace Hybrid Imaging in Gliomas: A Bench-to-Bedside Tutorial on Amino Acid PET/MRI” Ed Exhibit @shooli_hossein Certificate of Merit @TheASNR 9/15
“Incorporation of Perfusion Protocols for Tumor Differentiation and Analysis of Post-Treatment Changes into Busy Clinical Practice” Ed Exhibit @LeonJekel @TheASNR 10/15
"Comparing Deep Learning and Classical Machine Learning Methods for Differentiating Primary CNS Lymphomas From Gliomas – A Systematic Review“ Scientific Poster presentation @tejverma0723 @TheASNR 11/15
“Uncertainty Estimation for Deep Learning in Neuroimaging: Primer for Neuroradiologists to Know Their Algorithms’ Blind Spots” Ed Exhibit @marcvonreppert @TheASNR 12/15
“So You Want to Shorten the Time of MRI Protocols While Preserving the Quality? A Comparison of Time-Efficient MR Techniques and Critical Details to Consider” Ed Exhibit @marcvonreppert @TheASNR 13/15
“Translation of AI Models into Clinical Neuroradiology Practice - From Concepts to Routinely Used Clinical Tools” Ed Exhibit @MerkajSara @TheASNR 14/15
"PET and MRI for Assessment of Radiation-induced Cognitive Decline" Ed Exhibit @tejverma0723 @TheASNR 15/15

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More from @MariamAboian

Apr 22
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
NeuroOncology ML community is truly international! @MerkajSara @Ryan_Bahar #BTRG_qMIT
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