Raghav Mehta

PostDoc @ICComputing | Medical Imaging + Machine Learning | PhD from @mcgillu @Mila_Quebec | MS from @iiit_hyderabad | XIntern @MetaAI | Personal views @meh_rag

[UNSURE workshop 2025 @UNSURE_Workshop]

The 7th edition of the UNSURE Workshop is happening in Daejeon, South Korea!

📅 Deadline: June 25, 2025
🌐 https://t.co/u3Jg85IlJc

🤝 With the UQinMIA Tutorial: https://t.co/eMgIa6OhJN

#MICCAI2025 #ML #MedTech #AIinHealthcare #UncertaintyQuantification #CallForPapers

[Probabilistic Vision Group @PVG_McGill]

🎓📚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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[Peirong Liu @peirong26]

🦋 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.

[Tal Arbel @arbtal]

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!

[UNSURE workshop 2025 @UNSURE_Workshop]

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.

[UNSURE workshop 2025 @UNSURE_Workshop]

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.

[IIIT Hyderabad @iiit_hyderabad]

IIITH has launched an online course on "AI for Medical Professionals" in collaboration with @Nams_India & @IHUB_Data.
https://t.co/3lqnJkKhK9

[UNSURE workshop 2025 @UNSURE_Workshop]

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

[Raghav Mehta @RaghavM93]

Grateful to receive outstanding reviewer award at #MIDL2024.

[Raghav Mehta @RaghavM93]

Late to the party, but it feels good to be listed in the honourable mention for outstanding reviewers at #MIDL2022 @midl_conference.

[UNSURE workshop 2025 @UNSURE_Workshop]

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.

[Louis Blankemeier @loublanks]

🧙 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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[Probabilistic Vision Group @PVG_McGill]

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

[Ponnurangam Kumaraguru “PK” @ponguru]

📢 🚀 New @nptel_official Course Alert! 📢🚀 Super thrilled to co-teach #ResponsibleAI starting July with Profs. @ravi_iitm @arunrajkumar485

Register at & Course website https://t.co/bYx7UC2xBc

Please register (if interested) and spread the word.

#ProfGiri #Teaching

[UNSURE workshop 2025 @UNSURE_Workshop]

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.

[Jose Dolz @josedolz_ets]

🚨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

[Amar Kumar @Amar_kumar_1]

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

[UNSURE workshop 2025 @UNSURE_Workshop]

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!

[Meritxell Bach Cuadra @MeriBach]

Interested in “#Uncertainty Quantification in Medical Image Analysis"? Come to our #MICCAI2023 #tutorial @MICCAI_Society Vancouver 📅Sun 8th 8AM Speakers 🤩@c_f_baumgartner @AndreyMalinin VRaina NMolchanova @adrian_galdran MRieraMarin
Materials https://t.co/cMQRPvFDCv

[Probabilistic Vision Group @PVG_McGill]

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

[Raghav Mehta @RaghavM93]

@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.

[Raghav Mehta @RaghavM93]

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

[Probabilistic Vision Group @PVG_McGill]

🎓📚 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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