Grzegorz Jacenków

Chief Scientist @ VitVio, specialising in Multimodal Learning. Ex-PhD @SchoolOfEng_UoE, MSc @InfAtEd, BSc @csmcr. Formerly @AmazonScience, @CERN, @Microsoft.

[Grzegorz Jacenków @jacenkow]

exciting times ahead! 🚀

[DigitalHealth.London @DHealthLDN]

It's official - #DHLLaunchpad Cohort 6 is here! 🚀

We are excited to introduce the 23 #digitalhealth companies selected for Cohort 6 of our Launchpad programme.

Find out how their digital #innovations are poised to transform #health and #care:
https://t.co/OghfywUlW4

[Grzegorz Jacenków @jacenkow]

If you're in Warsaw around October 26-29, don't miss one of Poland's biggest ML conferences, and a chance to chat with Amazon scientists.

@AmazonScience x @AmazonNewsPL x @MLinPL

[ML in PL @MLinPL]

Meet the speaker representing our sponsor, @amazon!

🤖 Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models

[Pedro P. Sanchez @SnchzPedro_]

🚨 New dataset! I'm releasing a synthetic chest X-ray dataset on @huggingface datasets.

This was created as part of a paper entitled Privacy Distillation (more details soon).

We ensured the images can NOT be used for re-identification!

https://t.co/5oNViSdPgE

[Grzegorz Jacenków @jacenkow]

@SnchzPedro_ @iclr_conf Hey @SnchzPedro_, you are awesome!

[Alistair Johnson @alistairewj]

Finally, MIMIC-IV-Note is what we've just released. Deidentified free-text clinical notes for everyone in MIMIC-IV; specifically discharge summaries (330k) and radiology reports (2.5m) - around 600 million tokens in the discharge summaries alone.
https://t.co/JL0QcP3SF0

[Alison Q O'Neil @alisonQoneil]

Currently seeking a software engineer to join my team working on AI for healthcare. If you're looking to work in a dynamic multidisciplinary environment on building transformative tools and technologies, this could be for you!

[Sotirios (Sotos) Tsaftaris @STsaftaris]

Please retweet widely. Looking for a postdoc in representation learning. We want to learn good representations with (causal) generative models with rare/imbalanced data. You will work with bright minds, on a prestigious grant and interact with industry. DM me for more info.

[Grzegorz Jacenków @jacenkow]

@spirosthermos You are amazing!

[Michael P. Sheehan @mpsheehan1995]

I'm very proud to say our paper "Sketched RT3D: how to reconstruct billions of photons per second" received the best student paper at @ieeeICASSP this year. Thanks to my co-authors @TachellaJulian and Mike Davies for their great work. Check it out here - https://t.co/GwP5zuNrap

[Pedro P. Sanchez @SnchzPedro_]

(1/3) I am happy to share that our paper "Diffusion Causal Models for Counterfactual Estimation" will be presented next week at @CLeaR_2022. Check poster session 1 (11/04 - 4pm) or our 90s video! Huge thanks to @STsaftaris and the rest of the team at https://t.co/ZkaE9rqdfs!

[Grzegorz Jacenków @jacenkow]

Hey #ISBI2022! Are you keen on learning how we can classify chest X-rays like radiologists?

Join the oral session tomorrow (30th March) in Multimodal Fusion at 5:30 PM (IST) / 12:00 PM (UTC) to learn more!

📄 https://t.co/6xiJZImdLF
🎮 https://t.co/HSe8PZkwoP

[Grzegorz Jacenków @jacenkow]

🤔

[A.Vásquez, PhD @criskotsu]

Can't unwatched it.. sadly, this is #PhdLife

[Grzegorz Jacenków @jacenkow]

Join our group for an opportunity to contribute to the next generation of healthcare AI!

[Sotirios (Sotos) Tsaftaris @STsaftaris]

Please spread widely: PhD position in causality, representation learning and applications in healthcare. (funded by @CanonMedicalEDI @RAEngNews). Co-supervised by @alisonQoneil. Come and join @SnchzPedro_ @Xiaoliu33745946 @jacenkow and the VIOS team.
https://t.co/OM2Dcsrqbd

[Sotirios (Sotos) Tsaftaris @STsaftaris]

Please spread widely: Interesting in causality and in applications in healthcare. Looking for a PhD student (co-supervised with @ewenharrison) to join our group as part of @acrcedincare. https://t.co/T0Lgfb9PVW

[Grzegorz Jacenków @jacenkow]

A fantastic opportunity you can’t miss during the #MICCAI 2021! A glimpse into an exciting field of disentangled representation learning.

[Sotirios (Sotos) Tsaftaris @STsaftaris]

Learn about disentangled representations and medical imaging at the 2nd DREAM tutorial at #miccai2021. This edition, after hugely successful 1st run, has more speakers, causality, new models, practical examples, and notes. https://t.co/FI0VG6GgPr @MICCAI_Society @MiccaiStudents

[Sotirios (Sotos) Tsaftaris @STsaftaris]

Monster survey out of our group on the risks of data leakage and privacy of ML models during inference. Thanks to @iCAIRD_Scot @CanonMedicalEDI, @RAEngNews for support. With @MarijaJegorova @MurraySmithRod @alisonQoneil @stucdubh, Charlie M & Chaitanya k. https://t.co/Z3Oe0fSTy4

[Grzegorz Jacenków @jacenkow]

So imagine you can generate rare diseases or conditions at scale... mix different heart parts between patients to generate new example using disentangled anatomy arithmetic 🤯 #MICCAI2021

[Spyridon Thermos @spirosthermos]

Our paper on performing arithmetic operations with disentangled *spatial* and *semantic* anatomical factors has been accepted in #MICCAI2021.

We investigate the use of this arithmetic in controllable cardiac image synthesis.

arxiv: https://t.co/Hg4fooTOaS

[Grzegorz Jacenków @jacenkow]

Hot off the press! My fabulous colleagues (@Xiaoliu33745946, @spirosthermos) proposed the first method to combine meta-learning and disentanglement. Why? Better performance on unseen domains (e.g. images from different scanners or hospitals). https://t.co/OaGoykjtiX #MICCAI2021

[Alison Q O'Neil @alisonQoneil]

Another opportunity to join our amazing team - apply online or contact me directly for more information :)

[Grzegorz Jacenków @jacenkow]

@spirosthermos Oh shush, it’s all Greek to me 😅