Early view of our latest MR distortion work is up aapm.onlinelibrary.wiley.com/doi/full/10.10…

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

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.…

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!

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👏

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

Celebrating our #TopCitedArticle #FreeAccess until 15 Feb 🥳 A #review of medical image data augmentation techniques for #deeplearning applications Congratulations to Phil Chlap et al #RadOnc #MedPhys UNSW South West Sydney Clinical Campuses @InghamMedical ow.ly/bH4H50Mxkn3

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/10.100…

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/

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~cA0-EhPC HNC outcome prediction models containing clinical variables were reviewed 1/5

It was a pleasure to host the Radiotherapy Image Data Analysis using Python workshop at #ASMIRT2023 today. Thanks to the enthusiastic participants and Daniel Al Mouiee for co-hosting!

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

So proud of ⁦Vicky Chin⁩ presenting on her PhD work #ESTRO2023. Are DVH uncertainty curves the way of the future? ⁦Gerry Hanna⁩ ⁦Gerard Walls⁩ ⁦ESTRO⁩ ⁦South Western Sydney Local Health District⁩ ⁦UNSW South West Sydney Clinical Campuses⁩ ⁦Ingham Institute Medical Physics⁩

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

CTV delineation quality assurance for MRI-guided prostate radiotherapy using deep learning with uncertainty estimation ⁦Jason Dowling⁩ ⁦Michael Jameson⁩ ⁦Phil Chlap⁩ ⁦David Pryor⁩ ⁦Prof Jarad Martin⁩ ⁦Ingham Institute Medical Physics⁩ thegreenjournal.com/article/S0167-…

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

📢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

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 Shalini Vinod on Monday at 16:57 in Dochart 1.

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/cardia…

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. Ingham Institute Medical Physics Jason Dowling Matthew Field Shalini Vinod sciencedirect.com/science/articl…