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deep learning-based head model segmentation algorithm sim4life v7.2  (ZMT Zurich MedTech)

 
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    ZMT Zurich MedTech deep learning-based head model segmentation algorithm sim4life v7.2
    Deep Learning Based Head Model Segmentation Algorithm Sim4life V7.2, supplied by ZMT Zurich MedTech, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/deep+learning-based+segmentation+algorithm/sim4life/pm39404109-867-3-9
    Average 90 stars, based on 1 article reviews
    deep learning-based head model segmentation algorithm sim4life v7.2 - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: A shielded 32‐channel body transceiver array with integrated electronics for 7 T
    Article Snippet: The Tx/Rx performance of the blocks were assessed numerically using Sim4life 7.2 (ZMT Zurich MedTech AG, Zurich, Switzerland).

    Article Title: Precision non-invasive brain stimulation: an in silico pipeline for personalized control of brain dynamics.
    Article Snippet: Objective: Non-invasive brain stimulation (NIBS) offers therapeutic benefits for various brain disorders.. Personalization may enhance these benefits by optimizing stimulation parameters for individual subjects.. Approach: We present a computational pipeline for simulating and assessing the effects of NIBS using personalized, large-scale brain network activity models.

    Article Title: MHz compression of pulse packets facilitates remote focusing of electroporation.
    Article Snippet: Stimulation by pulsed electric fields (PEFs) normally follows PEF strength and weakens with distance from electrodes.. Bipolar cancellation, caused by the electric field reversal, can offset this dependence.. Remote focusing can be achieved by stimulation with nanosecond pulse packets that generate multiphasic, bipolar interference patterns near electrodes while preserving unipolar PEF at the remote target.

    Article Title: A feasibility study on non-invasive and non-contact jugular venous pulse measurement using 60 GHz FMCW radar
    Article Snippet: Furthermore, this work is the first to utilize the Sim4Life platform from ZMT Zurich MedTech AG to investigate the impact of RF electromagnetic fields on the neck region, specifically in the context of high-frequency radar for JVP monitoring.

    Article Title: Exploiting Polynomial Chaos Expansion for Rapid Assessment of the Impact of Tissue Property Uncertainties in Low-Intensity Focused Ultrasound Stimulation.
    Article Snippet: To calculate the pressure field generated by the CTX‐250 transducer operating at 250 kHz, acoustic simulations were performed in Sim4Life v7.2 (ZMT Zurich MedTech AG, Switzerland), which is a finite difference time‐domain solver of 3 of 9 the 3D linear acoustic pressure wave equation (LAPWE; Kyriakou 2015), with the following formulation: ∇ ∇ ∂∂ ∂ ∂ ρ ρ p c p t α α c p t 1 − 1 − 2 4 Ω + 1 = 02 2 2 2 2 (1) where ρ (kg/m3) is the density, p (Pa) is the acoustic pressure, c (m/s) is the speed of sound, t (s) is time, α (Np/m) is the absorption coefficient, and Ω (rad/s) is the angular frequency.

    Article Title: A feasibility study on non-invasive and non-contact jugular venous pulse measurement using 60 GHz FMCW radar
    Article Snippet: To assess electromagnetic interactions and safety, we employed the Sim4Life simulation platform (ZMT Zurich MedTech AG) [ ], using the high-resolution Duke V3.0 voxel model.

    Formulation:

    Article Title: A shielded 32‐channel body transceiver array with integrated electronics for 7 T
    Article Snippet: The Tx/Rx performance of the blocks were assessed numerically using Sim4life 7.2 (ZMT Zurich MedTech AG, Zurich, Switzerland).

    Article Title: Precision non-invasive brain stimulation: an in silico pipeline for personalized control of brain dynamics.
    Article Snippet: Objective: Non-invasive brain stimulation (NIBS) offers therapeutic benefits for various brain disorders.. Personalization may enhance these benefits by optimizing stimulation parameters for individual subjects.. Approach: We present a computational pipeline for simulating and assessing the effects of NIBS using personalized, large-scale brain network activity models.

    Article Title: MHz compression of pulse packets facilitates remote focusing of electroporation.
    Article Snippet: Stimulation by pulsed electric fields (PEFs) normally follows PEF strength and weakens with distance from electrodes.. Bipolar cancellation, caused by the electric field reversal, can offset this dependence.. Remote focusing can be achieved by stimulation with nanosecond pulse packets that generate multiphasic, bipolar interference patterns near electrodes while preserving unipolar PEF at the remote target.

    Article Title: A feasibility study on non-invasive and non-contact jugular venous pulse measurement using 60 GHz FMCW radar
    Article Snippet: Furthermore, this work is the first to utilize the Sim4Life platform from ZMT Zurich MedTech AG to investigate the impact of RF electromagnetic fields on the neck region, specifically in the context of high-frequency radar for JVP monitoring.

    Article Title: Exploiting Polynomial Chaos Expansion for Rapid Assessment of the Impact of Tissue Property Uncertainties in Low-Intensity Focused Ultrasound Stimulation.
    Article Snippet: To calculate the pressure field generated by the CTX‐250 transducer operating at 250 kHz, acoustic simulations were performed in Sim4Life v7.2 (ZMT Zurich MedTech AG, Switzerland), which is a finite difference time‐domain solver of 3 of 9 the 3D linear acoustic pressure wave equation (LAPWE; Kyriakou 2015), with the following formulation: ∇ ∇ ∂∂ ∂ ∂ ρ ρ p c p t α α c p t 1 − 1 − 2 4 Ω + 1 = 02 2 2 2 2 (1) where ρ (kg/m3) is the density, p (Pa) is the acoustic pressure, c (m/s) is the speed of sound, t (s) is time, α (Np/m) is the absorption coefficient, and Ω (rad/s) is the angular frequency.

    Article Title: A feasibility study on non-invasive and non-contact jugular venous pulse measurement using 60 GHz FMCW radar
    Article Snippet: To assess electromagnetic interactions and safety, we employed the Sim4Life simulation platform (ZMT Zurich MedTech AG) [ ], using the high-resolution Duke V3.0 voxel model.



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