Sayantan Kumar retweetledi
10/ Come chat with us at the poster session today! (@jeremycweiss, @SayantanKumar94)
💻 Code: github.com/Shahriarnz14/T…
📄Paper: arxiv.org/abs/2504.10340
#AAAI2026 #TemporalAI #HealthcareAI #MachineLearning
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Sayantan Kumar
63 posts
Sayantan Kumar
@SayantanKumar94
PhD Student in Computer Science @WashUi2db | @MIRImaging Research interests: Deep Learning | Explainable AI | medical imaging https://t.co/mt8EQrVbMQ
St. Louis, Missouri, USA Katılım Mart 2022
177 Takip Edilen65 Takipçiler
- Captures spatially varying features in medical image segmentation.
- Patch embedding & positional encoding - crucial as self-attention in ViT-UNet.
- SOTA on multi-organ, cardiac, and brain tumor segmentation.
- Scales well, higher segmentation accuracy with larger models.
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AgileFormer: Spatially agile and scalable transformer for medical imag... sciencedirect.com/science/articl…
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Sayantan Kumar retweetledi
Read more in @alzdemjournals: alz-journals.onlinelibrary.wiley.com/doi/10.1002/al… #AlzheimersDisease
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A huge thank you to Sunny Lou for her amazing mentorship, and to @TKannampallil for the opportunity to contribute to this impactful work. Grateful to all co-authors—an incredible learning experience!
@WashUMedi2db @prpayne5
#MachineLearning #Surgery #ClinicalAI #JAMANetworkOpen
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6/ 🧠 Takeaway: Our personalized surgical transfusion risk prediction algorithm demonstrated external validity and discrimination. S-PATH was consistently more effective than standard care, suggesting its potential for use as a perioperative clinical decision support tool.
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🚨 New Study Alert 🚨
Excited to share our recent publication in JAMA Network Open (impact factor 13.8): "Multicenter Validation of a Machine Learning Model for Surgical Transfusion Risk at 45 US Hospitals"
🔗 lnkd.in/gjJxeZjm
JAMA Network Open@JAMANetworkOpen
A machine learning algorithm demonstrated external validity and discrimination while consistently outperforming standard care. ja.ma/3Gf2nxe
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Sayantan Kumar retweetledi
👏 Huge congrats to @SayantanKumar94 for his publication in Alzheimer’s & Dementia Journal! Using AI, Kumar analyzed multi-modal neuroimaging data to uncover disease variability in Alzheimer's, under the guidance of @ArisSotiras and @prpayne5 @ @WUSTLmed.
i2db.wustl.edu/ai-imaging-ana…
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🎉 Excited to share that I successfully defended my PhD dissertation today
Grateful to my advisors @prpayne5 and @ArisSotiras , committee, and supporters throughout this journey. Onward to the next chapter! 🚀
#PhDDefense #AlzheimersResearch #AI #MachineLearning #Neuroscience
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Thrilled to see one of my PhD research projects featured here! Thank you @WashUMedi2db for highlighting my work on investigating heterogeneity within dementia. Big thanks to my mentors and collaborators. Excited to contribute to advancing personalised healthcare solutions.
WashU Informatics, Data Science and Biostatistics@WashUMedi2db
New #DementiaResearch by @SayantanKumar94, @prpayne5, Inez Oh, @SuzanneESchind1, @NupurGhoshal2, & Zachary Abrams! Read their paper ➡️ "Examining heterogeneity in dementia using data-driven unsupervised clustering of cognitive profiles" journals.plos.org/plosone/articl… #WashUMed @PLOS_ONE
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Thrilled to see my research featured here! Thank you @WashUMedi2db and Biostatistics for highlighting my work on multimodal multi-task deep learning approaches to monitoring the risk of Alzheimer’s Disease progression.Big thanks to my mentors and collaborators. Check it out!
WashU Informatics, Data Science and Biostatistics@WashUMedi2db
New research in @JAMIA_Open introduces HiMAL, a deep learning framework predicting whether MCI patients will progress to Alzheimer's within 6 months. Led by @SayantanKumar94, @TKannampallil, @prpayne5, @abraxasyu, & Andrew Michelson. Read more ➡️ #481789617" target="_blank" rel="nofollow noopener">academic.oup.com/jamiaopen/arti…
#WashUMed English
Sayantan Kumar retweetledi
Doing good science is 90% finding a science buddy to constantly talk to about the project.
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Sayantan Kumar retweetledi
Our lab at Stanford has postdoc openings! Candidates should have expertise and interests in one or multiple of: multimodal large language models, video understanding (including video-language models), AI for science / biology, or AI for surgery. Please send inquiries by email and see marvl.stanford.edu for more information.
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Sayantan Kumar retweetledi
📢 My lab at Yale is looking for a postdoc to work on LLMs/NLP for health.
This is a unique collaboration with a health startup focusing on both cutting-edge AI research and real-world impact to tackle domain-specific challenges of LLMs. Pls help spread the word!
1/2 🧵
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Sayantan Kumar retweetledi
it’s job market season, welcome to hell.
here are all my job materials. everything from the cover letter to the job talk that got me a tenure-track job at William & Mary.
yes, it’s a lottery. yes, it’s also helpful to see successful examples:
dropbox.com/sh/39pp75igrcc…
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Sayantan Kumar retweetledi
Train PhD students to be thinkers not just specialists
#PhD #PhDlife #academics #AcademicChatter #AcademicTwitter #Postdocs #Research #Science
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