Tootfinder

Federal 601HE #padlock

/via https://instagr.am/p/C8U-SjJIM2q/ #ifttt #automated

🔊 #NowPlaying on BBCRadio2's #TrevorNelsonsRhythmNation
The Roots:
🎵 You Got Me (feat. Erykah Badu)
#TheRoots
https://open.spotify.com/track/4pdLZsxq0y5oJDb6Cxlokw
https://mrsingalong.bandcamp.com/track/find-yourself-feat-mihuma-freestyle-the-roots-you-got-me

Here it comes… Instant multilingual deepfake adbots. I'm sure that was on everyone's wish list 😔
When I was a child, and when my own were young, we believed Attention Seeking Behaviours were a pathology, that parents needed to find the root cause of the child's distress, correct it, and the behaviours would stop.
https://www.theverge.com/2024/6/17/24179971/tiktok-ads-ai-generated-avatars-creators-language-dubbing

Cornus kousa 'Miss Satomi' (Kousa Dogwood)
#bloomscrolling
UBC UEL Wesbrook Mall #vancouver

Total-Body Parametric Imaging Using Relative Patlak Plot
Siqi Li, Yasser G. Abdelhafez, Lorenzo Nardo, Simon R. Cherry, Ramsey D. Badawi, Guobao Wang
https://arxiv.org/abs/2406.09720

Total-Body Parametric Imaging Using Relative Patlak Plot
Standard Patlak plot is widely used to describe FDG kinetics for dynamic PET imaging. Whole-body Patlak parametric imaging remains constrained due to the need for a full-time input function. Here, we demonstrate the Relative Patlak (RP) plot, which eliminates the need for the early-time input function, for total-body parametric imaging and its application to clinical 20-min "static" scans. We demonstrated that the RP intercept b' is equivalent to a ratio of standardized uptake value relative to…

This https://arxiv.org/abs/2404.04485 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Majority Voting of Doctors Improves Appropriateness of AI Reliance in Pathology
As Artificial Intelligence (AI) making advancements in medical decision-making, there is a growing need to ensure doctors develop appropriate reliance on AI to avoid adverse outcomes. However, existing methods in enabling appropriate AI reliance might encounter challenges while being applied in the medical domain. With this regard, this work employs and provides the validation of an alternative approach -- majority voting -- to facilitate appropriate reliance on AI in medical decision-making. T…

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
Felix Wagner, Wentian Xu, Pramit Saha, Ziyun Liang, Daniel Whitehouse, David Menon, Natalie Voets, J. Alison Noble, Konstantinos Kamnitsas
https://arxiv.org/abs/2406.11636

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
Segmentation models for brain lesions in MRI are commonly developed for a specific disease and trained on data with a predefined set of MRI modalities. Each such model cannot segment the disease using data with a different set of MRI modalities, nor can it segment any other type of disease. Moreover, this training paradigm does not allow a model to benefit from learning from heterogeneous databases that may contain scans and segmentation labels for different types of brain pathologies and diver…

Total-Body Parametric Imaging Using Relative Patlak Plot
Siqi Li, Yasser G. Abdelhafez, Lorenzo Nardo, Simon R. Cherry, Ramsey D. Badawi, Guobao Wang
https://arxiv.org/abs/2406.09720

Plopp, da ist erste runde Zahl mit Pedelec :)