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Honored to have been selected by @CrainsCleveland as a Notable in Healthcare Technology for 2025! crainscleveland.com/awards/satish-…
Satish E. Viswanath
@satishev
#AI + #MedicaImaging Boffin. Father. Spouse. Techie. Cinephile. Bibliomaniac. Geek.
241 Following 640 Followers 9.4K Posts
Latest posts 5
#NewPaper from the group on a novel #MachineLearning approach for identification of robust and discriminable #computationalimaging features from #medicalimaging data!
nature.com/articles/s4430…
Congrats to first author @AmirRSadri!
nature.com/articles/s4430…
Congrats to first author @AmirRSadri!
www.nature.com Variability Regularized Feature Selection (VaRFS) for optimal identification of robust and discri... npj Imaging - Variability Regularized Feature Selection (VaRFS) for optimal identification of robust and discriminable features from medical imaging Very excited to kickstart 2026 with this new project supported by @HelmsleyTrust on developing new #imaging #AI in #CrohnsDisease as part of the #STARConsortium in collaboration with @IBD_FloMD @CleClinicMD @MayoClinic and Univ Calgary!
💥Exceptionally grateful to the @HelmsleyTrust for continued support of the #STARConsortium with a 2.7 Mio. USD grant for developing a novel AI based imaging approach for a 'virtual' full thickness intestinal biopsy in stricturing Crohn's disease 💥lerner.ccf.org/news/article/?…View quoted post on X
Love to round out the year listening to close friends and collaborators @Pallavi_Tiwari @BrennanFlan and Tom Desilvio talk about topics around #imaging and #AI; of deep interest to all of us.
Enjoy!
Enjoy!
🚨A new episode of the @radiology_rsna: Imaging Cancer podcast is now available!
@BrennanFlan & Thomas DeSilvio talk with @Pallavi_Tiwari about how AI is shaping individualized imaging and real-world clinical care. Enjoy!
bit.ly/4j4MBE1View quoted post on X
#NewPaper from our group on #AI and #digitalpathology, led by Dr Brennan Flannery!
We asked a key question: How similar are these models really, and can we intelligently combine them to do better than any single model alone?
arxiv.org/abs/2512.11104
We asked a key question: How similar are these models really, and can we intelligently combine them to do better than any single model alone?
arxiv.org/abs/2512.11104
arxiv.org Information-driven Fusion of Pathology Foundation Models for... Foundation models (FMs) have demonstrated strong performance across diverse pathology tasks. While there are similarities in the pre-training objectives of FMs, there is still limited...