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Artificial intelligence directed development of a digital twin to measure soft tissue shift during head and neck surgery.

• Authors : Männle D; Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.; Pohlmann J

Subjects: Head*/Head*/Head*/surgery ; Artificial Intelligence*; Animals

• Source: PloS one [PLoS One] 2023 Aug 09; Vol. 18 (8), pp. e0287081. Date of Electronic Publication: 2023 Aug 09 (Print Publication: 2023).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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MoMaS: Mold Manifold Simulation for real‐time procedural texturing.

• Authors : Maggioli, F.; Marin, R.; Melzi, S.

Subjects: CURVED surfaces; MYXOMYCETES; ARTIFICIAL intelligence

• Source: Computer Graphics Forum; Oct2022, Vol. 41 Issue 7, p519-527, 9p

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VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and Collisions

• Authors : Mihajlovic, Marko; Zhang, Siwei; Li, Gen

Subjects: Computer Vision and Pattern Recognition; Artificial Intelligence

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Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching

• Authors : Cao, Dongliang; Bernard, Florian

Subjects: Computer Vision and Pattern Recognition; Artificial Intelligence; Computational Geometry

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Fully automatic anatomical landmark localization and trajectory planning for navigated external ventricular drain placement

• Authors : de Boer, Mathijs; van Doormaal, Jesse A.M.; Köllen,Mare H.

Subjects: artificial intelligence; automatic planning; deep learning

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Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks

• Authors : Kim, Sungwon; Lee, Namkyeong; Doh, Yunyoung

Subjects: Computer Vision and Pattern Recognition; Artificial Intelligence; Machine Learning

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GNNRL-Smoothing: A Prior-Free Reinforcement Learning Model for Mesh Smoothing

• Authors : Wang, Zhichao; Chen, Xinhai; Gong, Chunye

Subjects: Machine Learning; Artificial Intelligence; Computer Vision and Pattern Recognition

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An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation

• Authors : Kalaie, Soodeh; Bulpitt, Andy; Frangi, Alejandro F.

Subjects: Computer Vision and Pattern Recognition; Artificial Intelligence

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Integrating the OHIF Viewer into XNAT: Achievements, Challenges and Prospects for Quantitative Imaging Studies.

• Authors : Doran, Simon J; Al Sa'd, Mohammad; Petts, James A

Subjects: OHIF; XNAT; image visualisation

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Integrating the OHIF Viewer into XNAT: Achievements, Challenges and Prospects for Quantitative Imaging Studies.

• Authors : Doran, SJ; Al Sa'd, M; Petts, JA ...

Subjects: Humans; Diagnostic Imaging; Archives

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