Shakes Chandra
@shakes76A researcher in biomedical imaging, AI and computer science at the University of Queensland. I am a counter-strike tragic and love gaming, maths and programming
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Happy 25th birthday to the greatest video game ever made, Counter-Strike. A Half-Life mod which has spawned communities, created memories, and established the greatest esport of them all. We're grateful to have the most passionate players in gaming. Here's to 25 more! 🎂🎉
🌊🏄♀️ Exciting news! A postdoctoral opportunity is now available in my team in Melbourne! Join us and contribute to cutting-edge research in imaging the aging brain. #postdocopportunity #scienceAustralia 🏖️🐨🦘 jobs.csiro.au/job/Melbourne%…
Excited to share that our paper entitled "A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved Ugly Duckling Lesion Classification" has been accepted at the 2024 IEEE International Symposium on Biomedical Imaging (ISBI)! #ISBI2024
We recently introduced Anomaly-aware image segmentation published in Medical Image Analysis. Check it out: doi.org/10.1016/j.medi…
Our neurodesk.org paper was featured in Nature Methods today: nature.com/articles/s4159… Neurodesk is a game-changer for accessible, flexible, and reproducible neuroimaging analysis across computing environments! 🧠💻
Slog sweep over cow corner for six. Don't bowl them there champ. #cricket @gradecricketer
🎉 Exciting News! Our @nhmrc Ideas project has been funded to explore new insights into the cholinergic system in early Alzheimer's disease with novel PET imaging, in collaboration with @ehealthresearch, @QIMRBerghofer, University of Queensland and many others!!! 🙏 #Alzheimers
I am recruiting two PhD students in human-centered AI: 1) Explainable decision support for skin cancer detection w/ @AlinaBeeTweets and @hpsoyer 2) Human-centered verification of language model outputs w/ @joelmmackenzie and @guidozuc Further details: uqtmiller.github.io/students/
Really excited to see our large review piece out in Medical Image Analysis; we review medical image synthesis, analyse distinct network architectures, loss functions, quantify performance & provide overview of datasets. Challenges and opportunities are discussed. 👉
We are excited to announce that our survey paper "Deep Learning based Synthesis of MRI, CT and PET: Review and Analysis" has been published in the Medical Image Analysis Journal (MedIA). Check it out here : doi.org/10.1016/j.medi…
Like they renormalise the infinities away and get a Nobel prize. Looking at you Quantum field theory. 🤣
New YouTube video: 1hr general-audience introduction to Large Language Models youtube.com/watch?v=zjkBMF… Based on a 30min talk I gave recently; It tries to be non-technical intro, covers mental models for LLM inference, training, finetuning, the emerging LLM OS and LLM Security.
Best Aussie show gets the intro it deserves 😀
Be an Open Source Absolutist! It is hard to overstate how much value Open Source Software has added to the world, and how broadly empowering it is. Operating systems, development tools, core libraries, and critical applications – a great many of the software tools used by the…
🧠 How does the basal forebrain change in normal aging and Alzheimer’s disease? 🧠 Check out our new paper that reveals the patterns of volume loss in the cholinergic system over 14 years in 516 old adults from AIBL. #ENDALZ #Alzheimers sciencedirect.com/science/articl…
A thorough overview of medical image analysis for graduate students and biomedical engineers from industry and academia. Medical doctors and biologists with no background in image processing will also find methods and software tools for analyzing medical images.
Spent half my life playing this game and its only gotten better. Looking forward to another decade. Thanks @CounterStrike :)
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