We had a fantastic talk today by Florian Jug on microscopic image analysis. Wonderful discussion and a lot of fun listening to Florian! Stony Brook BMI

Congrats to Saumya Gupta for her #NeurIPS23 paper on topological uncertainty via discrete Morse theory.

arxiv.org/abs/2306.05671

- Image uncertainty can be done at structure level, not pixel level.
- #Topology methods delivers key structural hypotheses.

Stony Brook University Dept. of Computer Science Stony Brook BMI

Jianyuan Deng from Stony Brook BMI is defending her PhD thesis on AI for Drug Discovery.

Also a big Congrats for her new Nature Communications paper with her advisor Fusheng Wang nature.com/articles/s4146…

#drugdiscovery #MachineLearning

Introducing Topological Crochet, MoMath's mind-bending in-person crochet series!

Let artist Shiying Dong guide you in building topologically nontrivial, visually pleasing yarn sculptures akin to the ones below.

Register now: momath.org/crochet.

#MoMath #NYCMuseums #Event

DALI workshop DALI Workshop @ MICCAI2023 successfully concluded. Here is a group photo of Paul Thompson YuanXue and audience! We also gave out two awards!

Keynote speaker Prof. Paul Thompson Paul Thompson is talking about data efficient learning of brain imaging at MICCAI'23 DALI workshop DALI Workshop @ MICCAI2023

#MICCAI2023

Invertible neural networks can help to synthesize realistic medical imaging data to augment training datasets for AI. This is similar to Cycle consistency in a generative adversarial network (GAN). Packed audience for Lena Maier Hein Keynote DALI Workshop @ MICCAI2023 MICCAI

Happening now! Prof. Lena Maier-Hein is talking about the importance of professionalizing the whole image analysis pipeline. Join the crowds in room 12 to hear more as well as the follow-up two great keynotes and oral sessions!

Join us for our DALI workshop this afternoon! 🖌️ We have THREE distinguished keynote speakers: Prof. Dimitris N. Metaxas, Prof. Lena Maier-Hein Lena Maier-Hein, and Prof. Paul M. Thompson
Paul Thompson and a mixed session of orals and posters!

Program: dali-miccai.github.io

Please join our MICCAI'23 tutorial: 'Topology-Driven Image Analysis'. We cover recent advances in image analysis from the topological perspective!

Speakers Chao Chen BjoernMenze Xiaoling Hu Johannes C. Paetzold Saumya Gupta

topology-miccai.github.io

#MICCAI2023 #topology #tutorial

Congrats to Xiaoling Hu for the prestigious Catacosinos Fellowship! 6 tier-one conference papers as first/co-first authors, including our papers on topological loss using persistent homology and discrete Morse theory!

#TDA #Topology #MachineLearning

Didn't make it to #MICCAI2023 ? No worries! DALI is accepting submissions on dataset/annotation, foundation models, efficient learning, and more till July 10. Join us at dali-miccai.github.io to win one of two $500 awards for the best papers! MICCAI MICCAI Students

Plans for the summer?

Good morning CVPR 2023! Hot off the presses: 
rsipvision.com/CVPR2023-Tuesd…

It's the CVPR Daily magazine for today by RSIP Vision

#CVPR #CVPR 23 #CVPR 2023 #CVPR2024

Our #CVPR2023 paper by Shahira on topology guided cell context generation for #DigitalPathology is covered by CVPR Daily magazine
rsipvision.com/CVPR2023-Tuesd…
Many thanks to Ralph RSIP Vision!

Come to our poster Tue-AM 316!
#TDA #topology
#sbubmi Stony Brook University Dept. of Computer Science Stony Brook Research