The Perk Lab

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

[Dilakshan Srikanthan @DilakshanS29]

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!

[Translational Medicine Graduate Program @tmedQueens]

Congratulations to CIHR Vanier Scholar Dilakshan Srikanthan! @QueensuDOM @QueensUHealth @queensgradstudy @DilakshanS29 https://t.co/fkcLPuYvoP

[The Perk Lab @PerkLabResearch]

Last night we said goodbye and celebrated our post-doctoral fellow Renzo and visiting PhD student Robert! Best of luck on your future endeavours!

[The Perk Lab @PerkLabResearch]

Earlier this week, we had the pleasure of hosting @JohnsHopkins Prof. Peter Kazanzides at the lab! It was a fantastic visit, and we’re greatful for the opportunity to showcase some of our projects and learn from his expertise!

[The Perk Lab @PerkLabResearch]

Congratulations to lab members Rebecca Hisey and Colton Barr, who were recognized in the 2023 Queen’s School of Computing Awards Ceremony! Rebecca was awarded the PhD Research Achievement Award, and Colton received the Distinguished Teaching Assistant Award.
@QueensComputing

[Jessica Robin Rodgers, PhD @jrobin_rodgers]

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

[Jessica Robin Rodgers, PhD @jrobin_rodgers]

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

[Jessica Robin Rodgers, PhD @jrobin_rodgers]

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!

[Andras Lasso @lassoan]

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: https://t.co/wtAoFSweCh

[Andras Lasso @lassoan]

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.

[The Perk Lab @PerkLabResearch]

Last week our PerkLab team had a wonderful opportunity to showcase our latest research findings in the field of medical imaging at #SPIE2023 in San Diego last week. @QueensComputing @MediLabQueens @SPIEtweets @queensuResearch

[The Perk Lab @PerkLabResearch]

@DilakshanS29 @SPIEtweets @queensu @tmedQueens @MediLabQueens @queensuResearch @QueensMDPhD Congratulations! Excellent presentation!

[Dilakshan Srikanthan @DilakshanS29]

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

[Dilakshan Srikanthan @DilakshanS29]

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

[The Perk Lab @PerkLabResearch]

Congrats to Prof. Parvin Mousavi on being named CIFAR Chair AI Chair. https://t.co/WCMsCASz8Z

[The Perk Lab @PerkLabResearch]

@PerkLabResearch members have had an incredible semester this year, here are a few highlights:

[The Perk Lab @PerkLabResearch]

Congrats to Prof. Gabor Fichtinger on his induction into The Royal Society of Canada.

[The Perk Lab @PerkLabResearch]

Exciting field trip to the School of Computing for the Leahurst students! Thanks to the Perklab and Med-i Lab teams for showing the students the latest in biomedical research and for sharing their passion for the field. Further information at https://t.co/cfiy9vTzU7.

[Andras Lasso @lassoan]

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 https://t.co/oH1vjz3KoJ