PostDoc @ICComputing | Medical Imaging + Machine Learning | PhD from @mcgillu @Mila_Quebec | MS from @iiit_hyderabad | XIntern @MetaAI | Personal views @meh_rag
🎓📚Exciting News! Congratulations to Dr. Durso-Finley (@FinleyDurso) for successfully defending his Ph.D. thesis on "Uncertainty aware causal models for prediction of individual treatment effects for image-based precision medicine."
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🦋 Life update: I am joining the Dept. of ECE (@JHUECE) @JohnsHopkins
as an Assistant Professor in Fall 2025! I will also be part of the Data Science and AI Institute (@HopkinsDSAI), advancing AI for healthcare and biomedicine. More info on my website: https://t.co/NvLCFmu2ve.
Are you passionate about revolutionizing healthcare through AI? I am recruiting PhD students for Fall 2025. Join @PVG_McGill@Mila_Quebec - the world’s largest community of academic researchers in deep learning. Please apply through the Mila supervision matching process!
Thank you to everyone who attended #UNSURE2024 in Marakkech #MICCAI2024. Both the oral and poster sessions were full of crowds.
Congratulations to @AnnaMWundram and @GutweinSimon for winning the best paper awards.
Looking forward to seeing everyone in Daejeon at #MICCAI2025.
We are excited to release video presentations of all our accepted papers.
YouTube📽️: https://t.co/jfY9Hk5mBM
OpenReview 📜: https://t.co/dFuJ3APfgP
Feel free to post your questions on OpenReview as comments.
Looking forward to meeting everyone in Marrakesh #MICCAI2024.
We have released the decisions for #UNSURE2024 submissions.
Our program will include 3 oral, 5 spotlight, and 12 poster presentations.
Congratulations to everyone who got accepted! Looking forward to fruitful discussions in Marrakesh, Morocco. #MICCAI2024
We have extended the submission deadline to 29th June 2024 (23:59 PST). There is still more time to submit your interesting work to #UNSURE2024 workshop at #MICCAI2024.
🧙 Excited to introduce Merlin, a vision language foundation model for 3D computed tomography 🐈⬛🩻
Trained to understand 3D abdominal CT scans using supervision from:
💾 Structured electronic health records (1.8+ million codes)
🗒️ Natural language radiology reports (6+ million tokens)
Paper: https://t.co/ljneXOpKFC
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Excited to share our latest work on debiased counterfactual explanations in medical imaging! Our DeCoDEx framework improves diffusion-based counterfactuals using a pre-trained confounder detector. #MIDL2024@PVG_McGill@McGill_CIM@Mila_Quebec@GoogleAI 👉 https://t.co/NRHj80m9VL
We are back this year with the 6th edition of the workshop. Deadline is 24th June 2024. #MICCAI2024
Also, we have a YouTube channel now (https://t.co/R8rZD1Phwp). Please follow it for updates. We have uploaded all the presentations from the last year workshop on it.
🚨One of our latest papers, where we propose to use Denoising Auto-Encoders to model the uncertainty of the predictions in semi-supervised segmentation has been accepted in MedIA. Congrats @sukeshadiga !! 🎉🎉💪💪
Arxiv: https://t.co/UQW5ckj2w1
Github: https://t.co/g3R6M51SLP
Check our work titled "Debaising Counterfactuals in the presence of Spurious Correlations"
Oral presentation in #FAIMI at 4:30 pm
@PVG_McGill@Mila_Quebec#MICCAI2023
Looking forward to the 5th edition of the UNSURE workshop @MICCAI_Society tomorrow! The workshop will be held as a fullday event. As always we have an exciting programme for you summarised in the short 🧵 below.
So come to UNSURE and we hope to see you there tomorrow!
Deep learning models can take shortcuts & latch onto spurious correlations.Can we train medical image based models to identify if they are‘right for wrong reasons’?We present a method to identify & mitigate these biases. #FAIMI2023#MICCAI2023@PVG_McGill@McGill_CIM@Mila_Quebec
@HassanMohyudDin@PVG_McGill@arbtal Thank you. 😊 It should be available online via university website in the next couple of months. If you can share your email ID, I can email it to you.
This PhD journey was truly a life changing learning experience @PVG_McGill. Thank you @arbtal for all the guidance and support throughout this journey. #PhinisheD
🎓📚 Exciting News! Heartfelt congratulations to Dr. Mehta (@RaghavM93 ) for successfully defending his Ph.D. thesis on "Integrating Bayesian Deep Learning Uncertainties in Medical Image Analysis." Your dedication to research and academic excellence is truly inspiring.
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