Machine Learning Engineer @ Radformation. Passionate about radiation oncology research, autosegmentation/AI and open-source software.
Austin, Texas
Joined July 2021
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🚀 Excited to share our new SoftwareX paper on PyDicer: an #opensource #Python library for converting & analysing #radiotherapy #DICOM data!
Streamline your workflows today:
👉 Paper: doi.org/10.1016/j.softx.2024…
🔓 Repo: github.com/AustralianCancerD…
📄 Docs: australiancancerdatanetwork.…
I'm pleased to share our latest research on utilising a probabilistic UNet to address uncertainty in CTV segmentation. Big thanks to my co-authors for their invaluable contributions to this work. @InghamMedPhys @Jason_Dowling @MattFField @shalinivinod13
sciencedirect.com/science/ar…
Great to see our open-source cardiac sub-structure segmentation tool being used to enable some exciting research presented at #ESTRO2024! Give it a try yourself: pyplati.github.io/platipy/ca…
Dutch investigators using Finnegan’s cardiac atlas to investigate factors associated with cardiac events. 40% cardiac events 5y, AMI & AFib most common. Dosimetric association with L atrium Dmax & Oes V20 @PhilChlap @InghamMedPhys #ESTRO2024 @ESTRO_RT
A shame I'm unable to join for #ESTRO2024 this year. Check out our latest work on the deployment of an automated contour QA tool within the TROG18.01 NINJA Clinical Trial! Don't miss Poster 1554 and the poster discussion by @shalinivinod13 on Monday at 16:57 in Dochart 1.
Phil Chlap retweeted
📢Abstract submission is now open! We’re looking forward to receiving all the exciting advancements in your research in 2-4 page paper format before January 31, 2024📅Instructions for submission are available at iccr2024.org/abstract.html📑
#ICCR2024 #CallForAbstracts #Radiotherapy
Great to be in Christchurch for #EPSM2023 reporting on the deployment of our automated contour quality assurance tool for the NINJA trial at @TROGfightcancer!
Phil Chlap retweeted
CTV delineation quality assurance for MRI-guided prostate radiotherapy using deep learning with uncertainty estimation @Jason_Dowling @TheJamo @PhilChlap @DavePryorRO @DocJarad @InghamMedPhys thegreenjournal.com/article/…
Check out our PlatiPy paper which has just been accepted into JOSS. Big thanks to co-author & PlatiPy co-creator Robert Finnegan, developing this library together has been a blast! 🚀 #opensourcesoftware #python lnkd.in/e3PczQEk
Phil Chlap retweeted
So proud of @VickyJChin presenting on her PhD work #ESTRO2023. Are DVH uncertainty curves the way of the future? @gerryhanna @gwalls89 @ESTRO_RT @SWSLHD @swsydUNSW @InghamMedPhys
Great to be back in Vienna for #ESTRO23 presenting our poster on PyDicer, a tool to streamline RT imaging data conversion and analysis. Check it out here: lnkd.in/gGsqpWzh lnkd.in/gYUVwJWs
It was a pleasure to host the Radiotherapy Image Data Analysis using Python workshop at #ASMIRT2023 today. Thanks to the enthusiastic participants and @dalmouiee for co-hosting!
Phil Chlap retweeted
New publication reviewing methodological conduct of head and neck cancer (HNC) outcome prediction models. Link provides free access for 50days: authors.elsevier.com/a/1gpk~…
HNC outcome prediction models containing clinical variables were reviewed 1/5
Phil Chlap retweeted
We have a few overachievers here at Ingham Medical Physics! Check out the awesome cupcakes Rob brought in to celebrate the team's recent publication on a fully automated cardiac substructure segmentation tool. You can try it out here: pyplati.github.io/platipy/
Our open-access article describing our open-source cardiac sub-structure segmentation tool is now available in @ACPSEM's PESM Journal! Well done Rob Finnegan and the team! link.springer.com/article/10…
Phil Chlap retweeted
Celebrating our #TopCitedArticle #FreeAccess until 15 Feb 🥳
A #review of medical image data augmentation techniques for #deeplearning applications
Congratulations to @PhilChlap et al
#RadOnc #MedPhys @swsydUNSW @InghamMedical
ow.ly/bH4H50Mxkn3
Phil Chlap retweeted
Congratulations to our fearless leader A Prof Lois Holloway on receiving the ACPSEM Distinguished Services Award that acknowledges a member who has made an outstanding contribution to the College. She is only the second woman to receive this award. @ACPSEM #EPSM #WomenWhoCurie
Great turnout at the Deep Learning session today at #EPSM2022. Michael Douglass showed us how to generate an sMRI using only an iPhone 🤯 followed by some great talks from the team @InghamMedical👏
Phil Chlap retweeted
Just published in JOSS: 'PyMedPhys: A community effort to develop an open, Python-based standard library for medical physics applications' doi.org/10.21105/joss.04555
Phil Chlap retweeted
Congratulations to our south west Sydney colleagues Geoff Delaney, Ian Harris, Georgie Kennedy and Tim Churches who are chief investigators on the MRFF-funded $2.6m NextCR project - to create a software framework for secure, cloud-based clinical registries buff.ly/3SEKXdR
