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Settings on system start. Download Links Download Standalone Version Release: 10/17/2019 Fix Framerate Limiter bug.LED Sync support on RTX 20 Series.Fix profile deleted on new install issue. Download Links Download Standalone Version Release: 9/20/2019 Improvements to "Boost Lock" feature for compatibility. To set a locked clock, once you enable Boost Lock, you set the clock using offsets.Now shows 4 digits on system tray OSD.Various other fixes. Download Links Download Standalone Version Release: 9/5/2019 Improvements to "Boost Lock" feature to ensure max overclock.Improvements to EVGA GeForce RTX 2080 Ti K|NGP|N OLED display Download Links Download Standalone Version Release: 8/1/2019 Adds new "Boost Lock" feature, this feature will allow you to lock the graphics card frequency to the highest performance state. Please note that SLI is not currently supported in this feature. Download Links Download Standalone Version Release: 7/18/2019 Improves RTX 2080 Ti K|NGP|N SupportAdds support for AMD Ryzen CPU temp monitoringSupport for Z10 RGB LCD displayAdds ability to disable splash screen on startup Download Links Download Standalone Version Release: 6/14/2019 Adds support for Frame Rate Limiter (Frame Rate Target)Various other fixes Download Links Download Standalone Version Release: 5/13/2019 Adds animated GIF support for K|NGP|N OLEDFixed bug where power target was not savingImproved fan control and supportFixed VGA2 voltage incorrectVarious other fixes Download Links Download Standalone Version Release: 4/24/2019 Fix online update error.Improved GeForce GTX 1660 Ti supportUpdated GeForce RTX 2080 Ti K|NGP|N FirmwareImproved Compatibility with EVGA Z10 KeyboardVarious other fixes Download Links Download Standalone Version Release: 4/16/2019 Improved SLI compatibility with EVGA GeForce RTX 2080 Ti K|NGP|NFixes bug with VF curve Download Links Download Standalone Version Release: 4/11/2019 Various fixes for EVGA GeForce RTX 2080 Ti K|NGP|NPrecision performance enhancements Download Links Download Standalone Version Release: 4/9/2019 Adds full support for EVGA GeForce RTX 2080 Ti K|NGP|N and OLED control Download Links Download Standalone Version Release: 2/27/2019 Adds support for Windows 8.1 and Windows 7Improved LED supportFixed voltage showing incorrectly on OSDImproved support for GeForce GTX 10 SeriesImproved support for GeForce RTX 2060Fixed “Start with OS” working directory set incorrectImproved support for EVGA NVLink SLI Bridge RGB Download Links Download Standalone Version

Environment Version 6 Update 14 (v1.6.0_14) or higher installed on your computer. Additionally a high-speed internet connection is required as long as Mobile Atlas Creator is running. By default Mobile Atlas Creator uses up to 512 of RAM. Additionally free disk space is required: Downloaded tiles are cached in the system temp directory and addionally tiles are cached in the tile store (local database). For reducing the color depth of downloaded tiles the library files of the "Java Advanced Imaging" (JAI) have to be present on the system respectively in the same directory as Mobile_Atlas_Creator.jar. The easiest way is to download the latest ready to use binary build of Java Advanced Imaging version 1.1.3. Download Latest stable version: 1.9.1 (universal binary for Windows, Linux, OSX,..) The latest stable version of Mobile Atlas Creator in binary and source form can be downloaded in the download area of Mobile Atlas Creator on SourceForge. For details about recent changes see the latest Changelog. Additionally the latest README.HTM is available online. Unstable and test versions like Mobile Atlas Creator preview versions can be downloaded from the section Alpha and experimental. Contact & Community You can contact the MOBAC community using the project's forums on SourceForge.net.

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With MRI, a precise, individual segmentation is time consuming and not feasible in clinical routines.A possible solution to obtain masks of anatomical structures is to use an already existing brain atlas. In atlas-based approaches, a template intensity image is registered to the target image, and the resulting deformation is then applied to the anatomical labels of the template to match the target space. In this way, the existing information of the atlas image can be transferred to the image of interest [1]. To better address the variability between scans of different subjects, multi-atlas registration can be used [2]. With this approach, the target image is registered to multiple atlas images and the resulting label images are combined via majority voting algorithms [2,3,4].There are multiple MR-based anatomical atlases available to transfer different labeled regions to new unlabeled images. To the best of our knowledge, there is no detailed CT-based anatomical brain atlas, and few registration-based approaches have been proposed for transferring anatomical information from an MR image to a CT scan. This is a challenging task and requires reliable multi-modal, inter-subject, non-rigid CT-MR registration. In the approaches proposed by [5,6,7], the task is reduced to a mono-modal registration problem by decomposing it into two steps. First, CT images are synthesized into MRI images, and then the registration is performed between the synthesized MRI images and the MRI atlas.Moreover, in [8] the authors propose a method to create an average CT atlas. Therefore, they first create an average CT image and then register multiple MRI atlas images to the average image. Finally, the anatomical labels from the MRI atlases are fused completing the final average CT atlas.Furthermore, the authors in [9] investigate an atlas-based method to segment ventricles in CT images. However, when it comes to CT images, it would be beneficial to delineate a larger number of anatomical structures. The authors in [10] propose a registration-based method to build a CT head atlas with anatomical structures for the Chinese population. However, they manually correct the segmentation and do not use MR atlas images. Direct multi-modal registration usually is eased by utilizing additional information and correspondence structures in the distance measure computation. Gao et al. [11] extract the midsagittal plane and use brain surface matching. Chen et al. [12] propose a combination of landmarks and mutual information (MI) as similarity measure to include local and global anatomical structure. Learning-based approaches, as described

Posted: 3/20/2021 9:50:30 PM EDT Just picked up a Geissele Mk16 10.5 blemish rail and starting to formulate a new build in my head. I already have a 10.5 mk18 block 1 upper with an Aimpoint PRO and a 14.5 with a Razor 1-6. I’m thinking this build I will go with an Eotech and G33 and will be kind of a jack of all trades, master of none gun. I keep going back and forth between the compactness of 11.5 vs the longer terminal velocity range of the 12.5. Any input, criticism, advice, or anything else to consider? Posted: 3/20/2021 10:00:19 PM EDT [#1] I went 12.5 with a Tri Arc barrel. Couple weeks to go until I can build it. Posted: 3/20/2021 10:04:34 PM EDT [#2] Going a similar route and decided with 12.5 mid Posted: 3/20/2021 10:13:51 PM EDT [#3] What made you settle on that decision? @adavis @strangejames Posted: 3/20/2021 10:17:51 PM EDT [#4] 12.5 is the optimal mix of velocity and compactness for me personally. Posted: 3/20/2021 10:53:06 PM EDT [#5] seen Triac 12.5 barrels chrony at 2980 with IMI M193but I believe the difference is only plus minus 25-50 yards vs 16" Posted: 3/20/2021 11:03:57 PM EDT [#6] If I was only going to do 1, I'd go 12.5" with a K or Ti can. The Ti would be lighter, the K shorter. 12.5" is a nice balance.And I love my 11.5's Posted: 3/20/2021 11:09:01 PM EDT [#7] A lot of people said 12.5"