Stony Brook BMI retweeted
Attending #ICLR ? Please check out our paper on TopoDiffusionNet. We propose a novel method for training diffusion models that enables precise control over the generated topology, based on topological data analysis (TDA).
Poster: Thu, Apr. 24, 3-5 p.m, Hall 3 + Hall 2B #162
openreview.net/forum?id=ZK1L…
#diffusion @sbubmi @CEASSBU @ai_sbu
Stony Brook BMI retweeted
Attending #ICLR ? Please check out our paper on VLOOD. We propose a novel method for conducting backdoor attacks on vision-language models, with a particular focus on out-of-distribution datasets.
Poster: Fri 25 Apr 10 - 12:30, Hall 3 + Hall 2B #298
openreview.net/forum?id=tZoz…
@sbubmi @CEASSBU @ai_sbu
Stony Brook BMI retweeted
Check out our latest work on Diffusion Models in #DigitalPathology, to be presented @CVPR #CVPR2025 @sbubmi @sbucompsc
Excited to share that our paper "ZoomLDM: Latent Diffusion Model for multi-scale image generation" will be presented at @CVPR 2025 #CVPR2025 !
Huge thanks to our collaborators - @algreco_ @KostasTriaridis @PrateekPrasana & others
histodiffusion.github.io/doc…
Stony Brook BMI retweeted
A milestone for IMAGINE Lab! Joseph Bae is our first-ever PhD grad! With 15+ publications (6 first-author) and major strides in AI for radiation oncology, he’s off to finish his MD at @StonyBrookMed.
Congrats, Dr. Bae - you've set the bar high! #ProudAdvisorMoment #AIinMedicine @sbubmi @bae
Stony Brook BMI retweeted
10 years ago, I was at my first #MICCAI as a grad student, presenting my first paper. Fast forward to today -- back with my incredible students, @josephbae_ and @Aishik_Konwer, both wrapping up their PhDs!
Huge shout-out to Aishik, who's ready to hit the job market, and Joseph, who’s heading back to med school to finish his MSTP training. Proud of their journeys!
Our team has 5 presentations to #MICCAI24 -- 4 in the main track, 1 workshop. Can’t wait for Marrakech! @sbubmi #MICCAI2024 #FullCircle #MedicalImaging
Stony Brook BMI retweeted
Check out our new #MICCAI2024 paper on disentangling pathology image features.
#DigitalPathology
Stony Brook BMI retweeted
Check out our new #MICCAI2024 paper on learning better representations of pathology images through hard negative sample mining. Focusing on negative samples can significantly improve learning efficiency.
#DigitalPathology
Stony Brook BMI retweeted
Check out our new #MICCAI2024 paper on using diffusion model to generate cell layouts for tumor microenvironment. Conditioning on cell counts and cell density turns out to be a powerful trick.
#DigitalPathology #diffusion
Stony Brook BMI retweeted
If you are attending #MICCAI2024, please join us at our Workshop on Topology- and Graph-Informed Imaging Informatics (TGI3). The central theme is to explore rich topology and graph information in image analytics.
topology-miccai.github.io/Fi…
Latest work from TopoX lab @sbubmi
Check out our #ECCV2024 paper. We propose topological consistency loss for semi-supervised segmentation. This was applied to #ComputationalPathology, but can apply to many other problems. Paper and code can be found at
arxiv.org/abs/2311.16447
@sbubmi researchers @ChaoChenSBU and @PrateekPrasana recently received a $1.2M @theNCI R01 for developing topology-driven tools for studying breast cancer imaging!
Professor Chao Chen (l) and Assistant Professor Prateek Prasanna in the Department of Biomedical Informatics are developing a new way to analyze breast cancer imaging that incorporates mathematical modeling and deep learning.
bit.ly/3MXsnwL
#stonybrooku
Stony Brook BMI retweeted
Excited to receive the NOA of my first @NIH @theNCI #R01 with @ChaoChenSBU! We will develop new techniques to characterize breast parenchyma on imaging. Grateful to my wonderful team and collaborators @sbubmi! @SBUResearch @rfsuny
Congrats, Dr. @wangfsh and team!
This quoted post is unavailable.
Please visit our poster today at 10:30am (board no. 152) at #CVPR.
Code: github.com/bmi-imaginelab/SI…
Video: youtube.com/watch?v=1Za3uPnY…
Paper: openaccess.thecvf.com/conten…
Stony Brook BMI retweeted
Come stop by our poster today 5 - 6.30 pm @CVPR #CVPR2024! @ymsrikar will be discussing our work on using generative models for #histopathology!
Happy to share that our paper has been accepted to #CVPR2024.
arxiv.org/abs/2312.07330
Huge thanks to our collaborators!
🎉 🥂 Congrats to our newly minted Radiology Informatics residents: Max, Michael, and Mutshipay! Our first cohort of graduates from the #RadiologyInformatics micro-credential program! 👏 Also, big congrats to our BMI MS graduate, David. Future leaders of #AI in #Radiology! 🚀 🩻
Congrats to our new graduates!
Celebrated the graduation of @sbubmi #clinicalinformaticsfellows last night. Our 5th cohort of graduates!! Couldn’t be more proud of them! @sbudeptofmed @stonybrooku @StonyBrookMed @SaltzJoel
Another success story from our CSIRE program! @wangfsh @SBUResearch
Paras presenting our group's work @IeeeIsbi on combining hand-engineered with deep features to classify whole slide #digitalpathology images! Paras was part of the CSIRE high school program and will start as an undergrad @Columbia this Fall. Great work, Paras! #ISBI2024
Stony Brook BMI retweeted
Congratulations @StonyBrookID @StonyBrookMed:
Case Report in #Transfusion, the journal of @AABB "A case of transfusion‐transmission Anaplasma phagocytophilum from leukoreduced red blood cells" onlinelibrary.wiley.com/doi/…
New work from IMAGINE lab!
Predicting Distant Brain Metastases from Pre-treatment MRIs - our recently published work @ASTRO_org! Work led by MSTP student @sbubmi, Joseph Bae!
Paper: advancesradonc.org/article/S… @stony



































