
AI2D
@pennai2d
Center for Artificial Intelligence & data science for Integrated Diagnostics (AI2D), @Penn
ID: 1584734999655374853
https://ai2d.med.upenn.edu/ 25-10-2022 02:34:16
19 Tweet
73 Followers
25 Following


Great to have the opening mini-symposium of the new AI2D center at Penn, focusing on AI and Data Science for Integrated Diagnostics with Li-San Wang att Haochang Shou Despina Kontos Anahita Fathi Kazerooni Russell Shinohara MacLean Nasrallah Li Shen Dokyoon Kim Jinbo Shen /other colleagues

The UPENN-GBM data are on CancerImagingArchive! #MRI, #histopathology #images, #clinical #outcome, #genomics, #segmentations, & #radiomics for de novo #Glioblastoma patients Paper: nature.com/articles/s4159… Data: doi.org/10.7937/TCIA.7… Links to the tools in comments Open Science SNO


Being a member of #PennRadiology is something to brag about! Earning this "Best of Radiology" award from AuntMinnie.com is a testament to Penn Radiology, a phenomenal place to train, teach, and work. Thank you again AuntMinnie.com, we are Honored! #RadEd #PennRadiologyAlumni

We are presenting Federated Tumor Segmentation (FeTS) Initiative at the Learning Center (Education Exhibit) and as scientific sessions. Come by the Informatics area near the DL classrooms to meet Spyridon Bakas, Sarthak Pati, Ujjwal Baid, and Alex Getka AI2D CBICA Announcements Penn Radiology



Excited to share the largest to-date real-world #Federated #MachineLearning study, involving data from 71 healthcare sites across 6 continents, with a focus on a rare brain cancer. Nature Communications #OpenAccess Sarthak Pati Ujjwal Baid Intel AI AI2D Penn SNO Federated Tumor Segmentation (FeTS) Initiative

6000 accesses in <7 days! #Federated #MachineLearning enabling the largest #Glioblastoma study to date, without sharing patient data Nature Communications: nature.com/articles/s4146… #OpenSource #NCIITCR @NCIDataSci Federated Tumor Segmentation (FeTS) Initiative #OpenFL #Healthcare #AI #OpenScience The MeRAQI Lab Intel AI Penn


Thrilled to see our Nature Communications article on #Federated #MachineLearning featured at NIH #Research #Matters! Post: nih.gov/news-events/ni… #NCIITCR @NCIDataSci National Cancer Institute Penn Penn Radiology Penn Medicine News Intel AI @IntelNews Sarthak Pati @UjjwalBaid0408 @PrashantPDX Jason Martin

This looks very interesting. For folks interested in rare diseases, like #glioblastoma, and data science, this seminar is a no-brainer (sorry for the pun). Thank you @NCIJBSloan and Spyridon Bakas. #BTSM

Excited for the invitation by NIH to talk about Federated #MachineLearning enabling the largest #Glioblastoma study to-date, via the #opensource #OpenFL & Federated Tumor Segmentation (FeTS) Initiative software. #NCIITCR @NCI_CSSI SNO #RANO #AI #OpenScience The MeRAQI Lab LF AI & Data Foundation MLCommons Penn Intel AI

Delighted to see our paper from the SPRINT trial, showing how intensive hypertension treatment reduces the progression of cerebral small vessel disease ja.ma/3ml77Xu by JAMA Network Open. Congrats #TanweerRashid et al. UT Health San Antonio Research Penn Radiology @Penn_Memory Sudha Seshadri, MD


BraTS 2023 is coming up as a cluster of challenges! Focus on #brain #tumors beyond #glioma/#Glioblastoma & systematically evaluating #AI/#MachineLearning/#DeepLearning #performance on #segmentation, #synthesis, #augmentations, & #generalizability Thanks MICCAI The American Society of Neuroradiology



Thank you American Society of Functional Neuroradiology & Jody Tanabe for inviting me to talk on #BigData & #braincancer during the #BrainTumorAwarenessMonth at #ASNR23, featuring #ReSPOND, #GLASS, & The American Society of Neuroradiology-MICCAI BraTS. MLCommons Neosoma Inc. Intel Sage Bionetworks Lacuna Fund @NCIDataSci RSNA

MLCommons Sarthak Pati Spyridon Bakas The MeRAQI Lab AI2D Intel AI Google Penn Path & Lab Medicine Penn Radiology TU München Medipol Üniversitesi Penn The University of Edinburgh TU Darmstadt Intel Stony Brook University @WUSTL University of Zurich IHU Strasbourg Dana-Farber Weill Cornell Medicine Harvard T.H. Chan School of Public Health Massachusetts Institute of Technology (MIT) Siddhesh
