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We won Best Poster for Image Analysis at #PathVisions19 w/ "Machine learning for real-time search and prediction of disease state to aid pathologist collaboration on social media"! Award digitalpathologyassociation.org/poster-present… Poster digitalpathologyassociation.org/_data/files/20… Preprint x.com/schaumberg_a/s…

Members of Fuchs Lab are at #miccai #miccai2019 If you would like to meet and talk computational pathology, give us a reply or message!

We are proud to announce that we will be hosting the 'AI for Overcoming Global Disparities in Cancer Care' Workshop at ICLR 2026 2020 in Addis Ababa, Ethiopia. More details to come soon!

Another awesome holiday display being created by awesome support staff ⁦@sloan_kettering⁩

Congratulations to Luke for his newest position in MSK, we wish him good luck on his journey forward!

CALL FOR ABSTRACTS: AI For Overcoming Global Disparities in Cancer Care | ICLR Workshop 2020 ℹ️ ai4cc.org 📌 Addis Ababa, Ethiopia 📅 April 26, 2020 #AI4CC #ICLR2020 ICLR 2026

Computational pathology is serious business.

"We are all nerds at heart." Perhaps the world's greatest pathology department. Using machine learning and deep computational modeling to advance cancer care. Fuchs Lab [Computational Pathology] @sloan_kettering Thomas J. Fuchs

The deadline for our ICLR 2026 Workshop on AI for Overcoming Global Disparities in Cancer Care has been extended to Feb. 23. Sergey Levine Sergey Levine will be our keynote speaker. We look forward to receiving your submissions!

Fuchs Lab without #ImmigrantScience. Please sign the petition below.

Thomas J. Fuchs @midl-conference.bky.social MSK Department of Pathology & Laboratory Medicine @sloan_kettering Fuchs Lab [Computational Pathology] The video of our oral presentation is also out! --> youtube.com/watch?v=Iees9O…

A great poster by David Joon Ho on our work on Interactive Learning for #ComputationalPathology. Fuchs Lab [Computational Pathology]

My method "Microsatellite Instability Prediction by High-Confident Patches in Colorectal Cancer Whole Slide Images" ranked the top-10 at PAIP2020 Challenge. paip2020.grand-challenge.org/Home/ I enjoyed participating in the Challenge and definitely learned a lot!

Huge congrats to our own David Joon Ho for his success in predicting MSI from H&E. Very well done! Fuchs Lab [Computational Pathology] #ComputationalPathology

I am very happy to share our paper "Deep Multi-Magnification Networks for multi-class breast cancer image segmentation" recently published in Computerized Medical Imaging and Graphics. Please find our paper at doi.org/10.1016/j.comp…

Our latest research can be found on arxiv, end-to-end survival modelling using deep learning and clustering: arxiv.org/abs/2101.11085

Our method for characterizing the spatial interactions between various types of nuclei in cancer tissue was accepted for long oral at @midl-conference.bky.social! Read more: openreview.net/forum?id=uLtYv…

You can now find an implementation of this model at github.com/MSKCC-Computat… More repositories of our recent work are soon to come - stay tuned.