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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👏

Had the pleasure of presenting some of our federated learning work at EPSM22, alongside my wonderful colleagues. Great to present in person finally and hope for many more successes from the team! @InghamMedical Phil Chlap

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

#radiotherapy is an essential #cancer treatment. It can improve QOL & survival. All #cancer patients should have equal access to this. ⁦Targeting Cancer ⁦Cancer Australia ⁦COSA⁩ ⁦RANZCR Rad Oncology⁩ evohealth.com.au/insights/shini… ⁦Lung Foundation Australia⁩

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How long before anyone can query a database without having to learn SQL?

The ultimate bane in a physicists life is how #RadOnc creatively name the same structure slightly differently. Read how we used machine learning to solve this perennial problem.Ali Haidar Dr Vikneswary Batumalai Farhannah Aly Vicky Chin mdpi.com/2077182 #mdpicancers Cancers MDPI

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…

🎉👏🏽 ⁦Farhannah Aly⁩ 1st PhD pub. Outcome prediction models incorporating clinical variables for H&N SCC: a systematic review of methodological conduct and risk of bias. ⁦@sundap15⁩ ⁦Daniel Al Mouiee⁩ ⁦Ingham Institute Medical Physics⁩ ⁦UNSW South West Sydney Clinical Campuses⁩ thegreenjournal.com/article/S0167-…

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

How wonderful to see #RadiationTherapists learning how to code in #Python from computer scientists in #ASMIRT2023 preconference workshop! Thanks Daniel Al Mouiee & Phil Chlap

Computer scientists demonstrating the magic of Python coding to Radiation therapist @ASMIRT Ingham Institute Medical Physics Phil Chlap Daniel Al Mouiee

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!

Big ideas in Big Data - bringing South Western Sydney Local Health District cancer services clinicians and computers scientists together to improve clinical processes and patient outcomes. Ingham Institute for Applied Medical Research

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

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…

A genocide is taking place as we speak against my Alawite community in Syria. Their crime: for being Alawites. Civilians are being slaughtered in the streets randomly in Latakia and Tartous. Please share with your networks and spread the word against these crimes against humanity

Thank you Mr Albanese for recognising these heinous acts and crimes against humanity. I urge the Australian Government to apply pressure on the Syrian authorities to protect the alawites and other minorities and assist the Australian alawite community in helping their loved ones