Tootfinder

Modality Agnostic, patient-specific digital twins modeling temporally varying digestive motion
Jorge Tapias Gomez, Nishant Nadkarni, Lando S. Bosma, Jue Jiang, Ergys D. Subashi, William P. Segars, James M. Balter, Mert R Sabuncu, Neelam Tyagi, Harini Veeraraghavan
https://arxiv.org/abs/2507.01909…

Modality Agnostic, patient-specific digital twins modeling temporally varying digestive motion
Objective: Clinical implementation of deformable image registration (DIR) requires voxel-based spatial accuracy metrics such as manually identified landmarks, which are challenging to implement for highly mobile gastrointestinal (GI) organs. To address this, patient-specific digital twins (DT) modeling temporally varying motion were created to assess the accuracy of DIR methods. Approach: 21 motion phases simulating digestive GI motion as 4D sequences were generated from static 3D patient scans…

Conformal scalar field theory from Ising tricriticality on the fuzzy sphere
Joseph Taylor, Cristian Voinea, Zlatko Papi\'c, Ruihua Fan
https://arxiv.org/abs/2506.22539

Conformal scalar field theory from Ising tricriticality on the fuzzy sphere
Free theories are landmarks in the landscape of quantum field theories: their exact solvability serves as a pillar for perturbative constructions of interacting theories. Fuzzy sphere regularization, which combines quantum Hall physics with state-operator correspondence, has recently been proposed as a promising framework for simulating three-dimensional conformal field theories (CFTs), but so far it has not provided access to free theories. We overcome this limitation by designing a bilayer qu…

Real-Time Confidence Detection through Facial Expressions and Hand Gestures
Tanjil Hasan Sakib, Samia Jahan Mojumder, Rajan Das Gupta, Md Imrul Hasan Showmick, Md. Yeasin Rahat, Md. Jakir Hossen
https://arxiv.org/abs/2506.09153

Real-Time Confidence Detection through Facial Expressions and Hand Gestures
Real-time face orientation recognition is a cutting-edge technology meant to track and analyze facial movements in virtual environments such as online interviews, remote meetings, and virtual classrooms. As the demand for virtual interactions grows, it becomes increasingly important to measure participant engagement, attention, and overall interaction. This research presents a novel solution that leverages the Media Pipe Face Mesh framework to identify facial landmarks and extract geometric dat…