Stony Brook BMI
@sbubmi
ID:3131397928
http://bmi.stonybrookmedicine.edu 02-04-2015 16:44:35
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99 Followers
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Congratulations Stony Brook ID Division Stony Brook Medicine:
Case Report in #Transfusion , the journal of AABB 'A case of transfusion‐transmission Anaplasma phagocytophilum from leukoreduced red blood cells' onlinelibrary.wiley.com/doi/full/10.11…
David Payne, MD doing a stellar job presenting his thesis - blending his Radiology residency with a Biomedical Informatics MS for the ideal pathway into the field! #NextGenRadiologist #RadiologyAI
![[3/n] In our second work, we condition diffusion models with self-supervised representations to create large-scale pathology images. Plus, we introduce text-to-image generation for digital pathology and satellite images. arxiv.org/abs/2312.07330](https://pbs.twimg.com/media/GHV7Wk3XIAAUwup.jpg "Prateek Prasanna (@PrateekPrasana) on Twitter photo 2024-02-27 12:17:41 [3/n] In our second work, we condition diffusion models with self-supervised representations to create large-scale pathology images. Plus, we introduce text-to-image generation for digital pathology and satellite images. arxiv.org/abs/2312.07330")
![[2/n] In our first work, we introduce SI-MIL to strike the perfect balance between model performance and interpretability in computational pathology. Our innovative MIL framework sheds light on model decisions with user-friendly feature grounding. arxiv.org/abs/2312.15010](https://pbs.twimg.com/media/GHV55mEW0AAdtDD.jpg "Prateek Prasanna (@PrateekPrasana) on Twitter photo 2024-02-27 12:17:41 [2/n] In our first work, we introduce SI-MIL to strike the perfect balance between model performance and interpretability in computational pathology. Our innovative MIL framework sheds light on model decisions with user-friendly feature grounding. arxiv.org/abs/2312.15010")
[1/n] Thrilled to share that two #digitalpathology papers from our lab made the cut for #CVPR2024 #CVPR2024! Huge shoutout to Saarthak Kapse, Pushpak Pati, Srikar Yellapragada, Alexandros Graikos and all our amazing co-authors Stony Brook BMI Stony Brook University Dept. of Computer Science Stony Brook Research
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
Mohammed AlQuraishi gave a fantastic talk about openfold and what he learned about protein structure prediction at the grand rounds seminar of Stony Brook BMI
Jessica Schleider, PhD Daniel P. Moriarity | @dpmoriarity.bsky.social ...parts have revolved around getting more comfortable with python, especially pandas and numpy. In addition to getting involved in some cool projects, this has all thankfully been funded through my employer Stony Brook Medicine. Shout out to Stony Brook BMI!