The Laboratory for Percutaneous Surgery, School of Computing, Queen's University.

Kingston, Ontario
Joined May 2019
Honoured to receive the Vanier Scholarship! All credit to my mentors who altruistically support me in my academic endeavours. Special thank you to my family & friends for their love & support - research is riddled with highs & lows and I’m grateful for having them through both! – at Kingston, Ontario
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Truly enlightening to hear insights from Dr. Yeates, Dr. Ameri, Dr. Mousavi, and Dr. Rudan on how we can more effectively use medical imaging to meet the needs of Canadians and some of the challenges and bottlenecks along the way #ImNO2023 @queensu @MediLabQueens @CosmMedical
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After working together virtually for more than a year and a half, it was awesome to see @NicoleKitner rock her presentation at #ImNO2023! @QueensComputing @queensuResearch @MediLabQueens @PerkLabResearch
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So excited to kick off #ImNO2023 with a fantastic keynote by Dr. Karen Yeates from @queensu on transformational methods for improving cervical cancer prevention globally!
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The Perk Lab retweeted
A small new feature in @3DSlicerApp for painting segmentations into 3D images at higher quality. Developed for #SlicerHeart but has many other applications. More info: discourse.slicer.org/t/new-f…
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The Perk Lab retweeted
We have released a number of tools for cardiac valve modeling, quantification, simulation and we have many more in the pipeline. All free, freely usable, open-source software.
Replying to @JolleyLab
4/5) The multimodality-capable (3DE, CT, CMR) tricuspid valve modeling tools we created for this study are now available open-source @3DSlicerApp #SlicerHeart #SlicerSALT
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My second and final talk here at @SPIEtweets on one of the first papers of my PhD! Here, we employed an MIL model to discriminate GBM from normal brain from an ex-vivo dataset with aim of prospectively predicting these tissue types intraoperatively. @queensu – at San Diego, CA
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A great first day at #SPIE2023! Had the opportunity to present a co-authored paper on self-supervised learning and uncertainty estimation for surgical margin detection! @tmedQueens @QueensMDPhD @queensuResearch – at San Diego, CA
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The Perk Lab retweeted
This is a game changer. Segment 100+ structures in any whole-body CT image in 2 minutes using TotalSegmentator in @3dslicerapp All free, open-source software. Runs on any computer, no GPU is required. See more information at discourse.slicer.org/t/26710
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The Perk Lab retweeted
Super-high-resolution CT @hip_ct of heart valve leaflets from the Human Organ Atlas (human-organ-atlas.esrf.eu/). Visualized in @3dslicerapp. See video tutorial for data import and rendering setup at youtu.be/69XLwDxVTkE
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Remember to save the date for the exciting Science Rendezvous, May 4 - 22, 2022. More details on event schedules and locations here: educ.queensu.ca/community/sc… #SciRen #OdySci @PerkLabResearch @queensuniversity @LimestoneDSB
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The Perk Lab retweeted
Congratulations to Jessica Rodgers, Leah Groves, and Fatou Bintou for winning the Educational Challenge at #ImNO2022! Outstanding work, team! 🎊
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The Perk Lab retweeted
Just tested running 3D Slicer on the cloud using Amazon AppStream. It worked amazingly well, interaction is just as fluid as running locally. Here is a short demo: youtube.com/watch?v=u3t5twSV…
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The Perk Lab retweeted
Check out our recent publication in @SurgJournal by @mere_poole and @PerkLabResearch investigating the utility of real-time visual computer navigation feedback in learning open surgical skills authors.elsevier.com/a/1eJom…
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The Perk Lab retweeted
A big congratulations to Brian Chen for successfully defending his MSc thesis! 🎉 #MediLabQueens
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The Perk Lab retweeted
FYI for those hoping to submit to #IPCAI
The deadline for submission of full papers will be extended until November 10th 2021, 23:59 Pacific time! Please make sure to also double check the submission format on sites.google.com/view/ipcai2….
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Please join me congratulating Parvin Mousavi, Marleen de Bruijne, and Alejandro Frangi as New #MICCAI Fellows 2021 🥇🎉, who have contributed substantially to US-guided interventions, medical image analysis, and computational medical imaging, respectively.
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The Perk Lab retweeted
Congratulations to Amoon for winning an award for his poster at the Queen's 23rd Annual Meeting for Health Sciences Research Trainees event! #MediLabQueens @QueensComputing
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