#IMAGINELab at #MICCAI2023. Wrapping up a wonderful 4 days with our final presentation by Jingwei on adapting SAM for segmentation tasks in #DigitalPathology. Stony Brook BMI Stony Brook University Dept. of Computer Science Paper: arxiv.org/abs/2307.09570

Congrats to Srikar Yellapragada on the acceptance of our paper in WACV! Putting GPT into action for Histopathology image generation! Stony Brook BMI Stony Brook University Dept. of Computer Science

Excited to share our new research AJNR. Wonderful culmination of David Payne, MD, MS's thesis. Using transformers, we automate the detection of cervical spinal stenosis and cord compression. Huge congrats to David Payne, MD, MS, Xuan, and all co-authors! ajnr.org/content/early/…

Predicting Distant Brain Metastases from Pre-treatment MRIs - our recently published work ASTRO! Work led by MSTP student Stony Brook BMI, Joseph Bae! Paper: advancesradonc.org/article/S2452-… Chris Stone

#GPT, while promising, isn't ready for medical image interpretation. Trust expertise over #AI (for now?). Our latest work, led by David Payne, MD, MS, shows why. authors.elsevier.com/a/1izZN3qp4qth… Academic Radiology Stony Brook Research Stony Brook BMI American College of Radiology @academicrad #Radiology

ChatGPT performs poorly on ACR exam for residents #radiology #ChatGPT Stony Brook University David Payne, MD, MS buff.ly/49RcwZK

"Automated Detection of Cervical Spinal Stenosis and Cord Compression via Vision Transformer and Rules-Based Classification" doi.org/10.3174/ajnr.A… David Payne, MD, MS American Society of Spine Radiology (ASSR)

Great talk by ⁦David Payne, MD, MS⁩ at #ASNR24 Comparative Evaluation of Vision Transformer and CNNs in Detecting Cervical Spinal Stenosis and Cord Compression, with ⁦Prateek Prasanna⁩. Looking forward to David’s fellowship with us ⁦Northwestern Radiology⁩ !

Paras presenting our group's work IEEE International Symposium on Biomedical Imaging 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 University this Fall. Great work, Paras! #ISBI2024

Come stop by our poster today 5 - 6.30 pm #CVPR2024 #CVPR2024! Srikar Yellapragada will be discussing our work on using generative models for #histopathology!

How do you explain your #ComputationalPathology deep learning model decisions to a pathologist? Come stop by our poster today at 10:30am to learn from Saarthak Kapse! #CVPR2024 #CVPR2024

Excited to receive the NOA of my first NIH National Cancer Institute #R01 with Chao Chen! We will develop new techniques to characterize breast parenchyma on imaging. Grateful to my wonderful team and collaborators Stony Brook BMI! Stony Brook Research Research Foundation

All set for an exciting National Cancer Institute #ITCR2024 meeting!

Dr. Michael Feldman’s keynote National Cancer Institute #ITCR2024 meeting on breaking silos in #MedicalAI to create Digital Fellows!