Stony Brook BMI (@sbubmi) header
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Stony Brook, New York, USA
Joined April 2015
Photo by Stony Brook BMI (@sbubmi)Photo by Stony Brook BMI (@sbubmi)Photo by Stony Brook BMI (@sbubmi)Photo by Stony Brook BMI (@sbubmi)Photo by Stony Brook BMI (@sbubmi)Photo by Stony Brook BMI (@sbubmi)Photo by Stony Brook BMI (@sbubmi)Photo by Stony Brook BMI (@sbubmi)Photo by Stony Brook BMI (@sbubmi)Photo by Stony Brook BMI (@sbubmi)
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
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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
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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…
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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
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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
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Stony Brook BMI retweeted
Check out our new #MICCAI2024 paper on disentangling pathology image features. #DigitalPathology
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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
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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
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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…
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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
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@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
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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
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Congrats, Dr. @wangfsh and team!
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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!
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🎉 🥂 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! 🚀 🩻
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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
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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
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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/…
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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
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