Phil Chlap

Machine Learning Engineer @ Radformation. Passionate about radiation oncology research, autosegmentation/AI and open-source software.

[Phil Chlap @PhilChlap]

🚀 Excited to share our new SoftwareX paper on PyDicer: an #opensource #Python library for converting & analysing #radiotherapy #DICOM data!
Streamline your workflows today:

👉 Paper: https://t.co/5KPlHKAURo
🔓 Repo: https://t.co/Ef76b9D8ZU
📄 Docs: https://t.co/ow4zHTRKFc

[Phil Chlap @PhilChlap]

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
https://t.co/j4uaOjAw89

[Phil Chlap @PhilChlap]

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: https://t.co/zbI0EYEkLX

[Shalini Vinod @shalinivinod13]

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

[Phil Chlap @PhilChlap]

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.

[ICCR2024 @ICCR2024]

📢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 https://t.co/mqbfMPXQ44📑
#ICCR2024 #CallForAbstracts #Radiotherapy

[Phil Chlap @PhilChlap]

Great to be in Christchurch for #EPSM2023 reporting on the deployment of our automated contour quality assurance tool for the NINJA trial at @TROGfightcancer!

[Shalini Vinod @shalinivinod13]

CTV delineation quality assurance for MRI-guided prostate radiotherapy using deep learning with uncertainty estimation ⁦@Jason_Dowling⁩ ⁦@TheJamo⁩ ⁦@PhilChlap⁩ ⁦@DavePryorRO⁩ ⁦@DocJarad⁩ ⁦@InghamMedPhys⁩ https://t.co/3Ut9mxV4Zb

[Phil Chlap @PhilChlap]

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 https://t.co/QQsjX10H8I

[Shalini Vinod @shalinivinod13]

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

[Phil Chlap @PhilChlap]

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: https://t.co/bHKfr1qUHe https://t.co/wGNnTGXQyy

[Phil Chlap @PhilChlap]

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!

[Farhannah Aly @AlyFarhannah]

New publication reviewing methodological conduct of head and neck cancer (HNC) outcome prediction models. Link provides free access for 50days: https://t.co/CTpw8wrT1t
HNC outcome prediction models containing clinical variables were reviewed 1/5

[Ingham Institute Medical Physics @InghamMedPhys]

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: https://t.co/dBaOs09Imk

[Phil Chlap @PhilChlap]

@MaiwandAc @ACPSEM Thanks for the positive feedback Maiwand! Will I perhaps run into at ESTRO in Vienna this year?

[Phil Chlap @PhilChlap]

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! https://t.co/ByR9VmIRi8

[JMIRO Journal @JMIRO_Journal]

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

https://t.co/ySx4E1Uw0d

[Phil Chlap @PhilChlap]

@RaiRobba @bogmund @loishol08993064 Congratulations @RaiRobba!!! 👏🥳

[Ingham Institute Medical Physics @InghamMedPhys]

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

[Phil Chlap @PhilChlap]

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 @PhilChlap]

The @ACPSEM #EPSM22 AI Workshop is underway! Great to have over 60 participants join us to get hands on with AI. Should be a great day!