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    <loc>https://tstasi.com/blog</loc>
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  <url>
    <loc>https://tstasi.com/blog/enhancing-system-resilience-elemental-aspects-of-hardening-ubuntu</loc>
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    <lastmod>2023-11-07</lastmod>
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      <image:title>Blog - Enhancing System Resilience - Elemental aspects of hardening Ubuntu - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1699397130960-NELT1IUADRZHQ1HH3AVV/GettyImages-470881813.jpg</image:loc>
      <image:title>Blog - Enhancing System Resilience - Elemental aspects of hardening Ubuntu - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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  <url>
    <loc>https://tstasi.com/blog/medical-image-segmentation-faq</loc>
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    <lastmod>2021-05-20</lastmod>
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      <image:title>Blog - Medical Image Segmentation F.A.Q. - CT acquisition of some artificial bones for fitted guide testing purposes. Scan protocols for such objects are evidently significantly different than the ones for human patients with dense bone structures, soft tissue, etc. Still, from the viewpoint of understanding the process and creating the medical image segmentation pipeline, it provides a lot of useful, preliminary lessons to all involved.</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1616704431105-483XSSDBGZPPD5MKI3XT/TestMedicalDemo3.png</image:loc>
      <image:title>Blog - Medical Image Segmentation F.A.Q. - The demo application ‘Medical Demo 3’ of the Visualization Toolkit at its core should be a great starting point for a module that is used for assessing the result of the segmentation process.</image:title>
      <image:caption>Link to the specific VTK Examples page on the Kitware GitHub site: https://kitware.github.io/vtk-examples/site/Python/Medical/MedicalDemo3/</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1616618838715-MGZ5HQX0GCAM8IUA2YIG/metal_artifacts.png</image:loc>
      <image:title>Blog - Medical Image Segmentation F.A.Q. - Metal-related artifacts, depending on the implant or metal component size, can have severe effects on the imaging outcome, especially in computed tomographic images. More often than not, patients already have some sort of implant in place near the region of interest.</image:title>
      <image:caption>Applications like iMAR by Siemens Healthineers, or O-MAR by Philips can help immensely, check out their corresponding pages for demos and examples.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1616712145095-NFNSHU31HHSIBAFN8624/poc_brainstorming.png</image:loc>
      <image:title>Blog - Medical Image Segmentation F.A.Q. - One of the earliest sketches of a DICOM browser that eventually led to the construction of the basis of the desktop segmentation module. The design shown here was quickly revised afterwards, and only attempted to describe the inner workings of the proof of concept, rather than establishing how the components of the system should interact with each other. The purpose of such drawings is definitely not to ‘box in’ the module in any way regarding implementation architecture, but to start a conversation going between software developers working on the project.</image:title>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1619556660516-6PQLY9NPSVT3HW2S2RYN/femur_anterior_surface.png</image:loc>
      <image:title>Blog - Medical Image Segmentation F.A.Q. - Anterior surface of the distal femur, just below the patella.</image:title>
      <image:caption>Min / Max: -9 / +192 Mean / Standard Deviation: +65.53 / +54.62 Surface Area: 0.08 cm^2</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1619556928142-XDLZEUDWJGD9808S11EV/maxillary_bone.png</image:loc>
      <image:title>Blog - Medical Image Segmentation F.A.Q. - Maxillary bone, below the eye socket.</image:title>
      <image:caption>Centroid Position: +5.44, +49.13, +106.40 Surface Area: 29.07 mm^2 Surface Perimeter: 4.99 cm Mean / Standard Deviation: -460.48 / +262.45</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1621200304211-201A1AZA9T695YVK4SDP/model_differences.png</image:loc>
      <image:title>Blog - Medical Image Segmentation F.A.Q. - Make it stand out</image:title>
      <image:caption>Triangular meshes generated by the classic marching cubes method (on the left) and a custom made segmentation process (on the right) of a CT scan of a knee joint. The marked / highlighted areas are explained as follows: A - Some unrelated objects, formed by polygons that can be associated with the scanning table (sheet) in this case, are still present in the image on the left, but not in the image on the right. It should be noted, however, that these differences can be overcome easily with simple filters and settings. B - Anatomical parts - just the patella, in the present case - that are not required for the planned operation are still present on the left, but not on the right. C - Visible holes and unconnected components can be seen on the left side, especially in the circled areas. These can contain hundreds, thousands of polygons that would need to be re-examined or supplemented to make the structure watertight to ensure 3D-printability. D - Each bone segment is a single layered, closed, watertight connected component, each eligible for 3D printing. E - Careful segmentation of adjacent slices make it possible to separate components that should not be connected, so each bone segment can be displayed, processed and stored individually.</image:caption>
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    <image:image>
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      <image:title>Blog - Medical Image Segmentation F.A.Q. - A binary image, that is a result of a “half-baked” segmentation process, which desperately needs some clean-up.</image:title>
      <image:caption>After the tiny components are deleted, and the area corresponding to the couch is wiped entirely (lower left corner), the largest connected foreground component can be separated. The remaining individual object, which is a binary cross-section of a patella in this case, should be able to be corrected by performing the steps mentioned.</image:caption>
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    <loc>https://tstasi.com/blog/techniques-mesh-modeling</loc>
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    <lastmod>2020-11-04</lastmod>
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      <image:title>Blog - Techniques: Mesh Modeling</image:title>
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      <image:title>Blog - Techniques: Mesh Modeling</image:title>
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      <image:title>Blog - Techniques: Mesh Modeling</image:title>
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      <image:title>Blog - Techniques: Mesh Modeling</image:title>
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      <image:title>Blog - Techniques: Mesh Modeling</image:title>
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      <image:title>Blog - Techniques: Mesh Modeling</image:title>
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      <image:title>Blog - Techniques: Mesh Modeling</image:title>
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      <image:title>Blog - Techniques: Mesh Modeling</image:title>
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      <image:title>Blog - Techniques: Mesh Modeling</image:title>
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      <image:title>Blog - Techniques: Mesh Modeling</image:title>
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      <image:title>Blog - Techniques: Mesh Modeling</image:title>
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    <loc>https://tstasi.com/blog/techniques-volumetric-visualization</loc>
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    <lastmod>2021-05-19</lastmod>
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      <image:title>Blog - Techniques: Volumetric Visualization</image:title>
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    <loc>https://tstasi.com/blog/surgical-navigation-tibia-plateau-fracture-with-knee-osteoarthritis</loc>
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    <lastmod>2021-05-19</lastmod>
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      <image:title>Blog - Surgical Navigation: Tibia plateau fracture with knee osteoarthritis</image:title>
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      <image:title>Blog - Surgical Navigation: Tibia plateau fracture with knee osteoarthritis</image:title>
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      <image:title>Blog - Surgical Navigation: Tibia plateau fracture with knee osteoarthritis</image:title>
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      <image:title>Blog - Surgical Navigation: Tibia plateau fracture with knee osteoarthritis</image:title>
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    <loc>https://tstasi.com/blog/surgical-planning-facial-reconstruction</loc>
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    <lastmod>2021-05-19</lastmod>
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      <image:title>Blog - Surgical Planning: Facial Reconstruction</image:title>
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      <image:title>Blog - Surgical Planning: Facial Reconstruction</image:title>
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      <image:title>Blog - Surgical Planning: Facial Reconstruction</image:title>
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      <image:title>Blog - Surgical Planning: Facial Reconstruction</image:title>
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  <url>
    <loc>https://tstasi.com/blog/tag/%23artifact</loc>
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  <url>
    <loc>https://tstasi.com/blog/tag/%23imaging</loc>
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  </url>
  <url>
    <loc>https://tstasi.com/blog/tag/%23bash</loc>
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  </url>
  <url>
    <loc>https://tstasi.com/blog/tag/%23learning</loc>
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  <url>
    <loc>https://tstasi.com/blog/tag/%23specific</loc>
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  </url>
  <url>
    <loc>https://tstasi.com/blog/tag/%23STIG</loc>
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  </url>
  <url>
    <loc>https://tstasi.com/blog/tag/%23rendering</loc>
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  </url>
  <url>
    <loc>https://tstasi.com/blog/tag/%23knee</loc>
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    <priority>0.5</priority>
  </url>
  <url>
    <loc>https://tstasi.com/blog/tag/%23encryption</loc>
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  </url>
  <url>
    <loc>https://tstasi.com/about</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2026-01-16</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/9e9e3564-75a0-4ae0-b611-3d746be2772a/profile_lss-EDIT%7E2.jpg</image:loc>
      <image:title>About - Tamás Sámuel Tasi</image:title>
      <image:caption>Tamás Sámuel Tasi SW Development Manager</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://tstasi.com/projects</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2022-11-29</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1596319472918-D754YDZ9IU9SQN4DB4XU/m3d_proj_pic.png</image:loc>
      <image:title>Projects - Mobius3D</image:title>
      <image:caption>The Complete Patient QA System The Mobius3D® software platform includes integration modules for quality assurance (QA) of every patient plan, every plan delivery, and every patient cone-beam CT (CBCT). It features an efficient workflow which relies on measurements and images already generated during treatment workflows, with automatic analysis and no external hardware requirements. A single server can operate all platform modules for up to 10 linear accelerators and has storage available for up to 20,000 patients. Mobius3D receives all your patients’ treatment plans via DICOM-RT and generates results within an intuitive web interface. With its integrated patient and machine QA modules, the platform provides six layers of error detection: Machine QA (DoseLab) 3D patient plan QA 3D IMRT/VMAT pre-treatment QA Online patient positioning QA Quantitative anatomy verification 3D daily treatment QA</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1596143817550-HAYR2O02BQY6TS24U6O0/personalized_medical_implants.jpg</image:loc>
      <image:title>Projects - Personalized Medical Implants</image:title>
      <image:caption>Self-developed implants and surgical instruments for shoulder (reverse shoulder arthroplasty), leg (bunion deformity correction) and knee (total knee arthroplasty) surgeries. A grant was awarded under the Cooperation for Competitiveness and Excellence programme, within the framework of Operational Programme for Economic Development and Innovation R&amp;F, (GINOP – 2.2.1-15). The project was realised with effective cooperation between the University of Szeged, Sanatmetal Kft. (consortium leader) and dicomLAB Kft. All the members of the consortium are internationally recognised. Timeframe: 09/2016 - 02/2019 Country: Hungary Organisation: Sanatmetal Kft. Fund: European Regional Development Fund</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1596227224937-AJD8NLPK5L14IL4KQQWI/dset.jpg</image:loc>
      <image:title>Projects - Advanced Methods for Discrete Tomography with Priors and Applications</image:title>
      <image:caption>Feature selection methods and machine learning (like decision trees, neural networks, floating search methods) are robust and effective tools to detect important attributes of a given object, or to classify objects of the same type with the aid of their attributes. In discrete image reconstruction problems one can think of the projection components as the attributes of the discrete set. In this scenario – in order to facilitate the reconstruction – the task is to determine structural or geometrical properties of the discrete set from the attributes (e.g., from the projection components). This way, a pre-processing step can decide which reconstruction algorithm to choose and how to parameterize it. Additionally, we can investigate which are the most important projection directions or projection components that can guarantee geometrical properties. Observations of this kind can also yield characterization results, and reconstruction algorithms can be designed to directly use the information gained from the attributes by applying techniques mentioned above.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1598821886283-WW2C057K66KD7KE1U83S/chosen_landmarks.png</image:loc>
      <image:title>Projects - Statistical shape analysis using the Point Distribution Model</image:title>
      <image:caption>Presented the MSc student project within the scope of the Image Processing Special Programme course titled „Image Registration”, lectured by Dr. Attila Tanács. The aim was to get familiar with the basic concepts and techniques of statistical analysis of shapes and to use Principal Component Analysis for modeling shape variation. Since the literature on these topics is quite rich, the present documentation does not contain minute details, instead presents the listed methods and the chosen approach through a thorough example. The development environment is MATLAB, which has plenty data analysis options, image processing tools and easy data visualization, among other things. This documentation is organized in a step‐by‐step fashion, presenting the theory along with the required MATLAB code to solve the actual task described for a given step. In case several possible solutions and approaches exist to a sub-problem, a reference is made to the literature detailing other options, latter entries can be found in the bibliography.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://tstasi.com/gallery</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2025-06-06</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1603657166700-IDEB2HRNAYOXB3YEVQTB/dicomlab_old_hq_-_2016.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>dicomLAB HQ (at the time) - Szeged, Hungary - 2016 --- Still one of my favorite 4 screen dev setups.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1603660493587-LJI2DVM3U2KJWLYMKKYP/dicomlab_old_hq_hallway_-_2016.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>dicomLab HQ - Szeged, Hungary - 2016</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1603659283053-6MW3FILGCU08LKB4ADIK/trauma_dept_referral_room_-_2018.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>Department of Traumatology, Referral Room - Szeged, Hungary - 2018</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1603659421133-YK0FP0MY5SPE8HS751K5/trauma_dept_sw_office_-_2018.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>Dept. of Traumatology, IT office - Szeged, Hungary - 2018 --- Working on some new guide designs at the time.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1603663536438-UJF65TMRX2YQGYXB2N2E/rad_dept_-_2018.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>Department of Radiology, CT room - Szeged, Hungary - 2018 --- CT scanning artificial bones to obtain water-tight polygonal models. Pretty tricky business, would probably be a good idea to jot down some thoughts on this later in a post.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1603663723662-YKV0Q9ZN42CAWISM6SKF/trauma_dept_lab_-_2018.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>Department of Traumatology, 3rd Floor Lab - Szeged, Hungary - 2018 --- Prosthesis manufacturer showcase of the prosthesis system to specialists. Good opportunity to revisit the surgical steps and available choices for the procedures made possible using the tools in the provided trays, and to explore compatibility options regarding surgical planning software solutions.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1603657586646-QB827B9MRQF0LF10HJML/materialise_hq_research_park_leuven_belgium_-_2018.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>Materialise HQ, Research Park - Leuven, Belgium - 2018</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1603657768657-4J42NAKXTH4Y58MYFF41/materialise_hq_showroom_-_2018.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>Materialise HQ, Showroom - Leuven, Belgium - 2018 --- All exhibits - including lamps, desks, shelves, etc. - were 3D printed.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1603658214866-B5EKN4HBXA9AZN33S3CM/materialise_course_faculty_club_-_lectures_-_2018.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>Materialise Course on 3D Printing in Medicine, Faculty Club, Lecture Hall - Leuven, Belgium - 2018</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/1603658993548-CPLST9TC64MPYQVEBJH7/materialise_course_faculty_club_-_exhibition_-_2018.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>Materialise Course on 3D Printing in Medicine, Faculty Club, Exhibition - Leuven, Belgium - 2018 --- Some colorful 3D printed models and accompanying solutions displayed.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/b3dff0c7-7c44-41ca-85bd-b1f1d3fc307c/20220516_220905_.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>2nd Annual European Medical Device and Diagnostic Cybersecurity Conference - Sheraton Brussels Airport Hotel, Brussels, Belgium - 2022</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/9ccef596-bb61-430b-a040-bd452e50e522/20220518_114709_.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>2nd Annual European Medical Device and Diagnostic Cybersecurity Conference - Brussels, Belgium - 2022 -- Attending hybrid sessions.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/507c3f51-3b31-4792-873f-a6a5d95c0cdc/20220518_131019_.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>2nd Annual European Medical Device and Diagnostic Cybersecurity Conference - Brussels, Belgium - 2022 -- Had a chance to talk to experts and leaders in cybersecurity for medical devices all across Europe.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/3a815a75-ec77-491e-ba2a-e9e229de6c34/20220518_132900_.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>2nd Annual European Medical Device and Diagnostic Cybersecurity Conference - Brussels, Belgium - 2022</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/977969f3-ac64-4817-b848-6987bde7620e/baby_nolan_alexander.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>Medicover Hospital, Budapest, Hungary - 2023 -- Welcomed our son, Nolan Alexander Tasi, to this world on Independence Day.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/d263981c-03c2-4e48-a4db-56b0cae47dfe/EU+Cybersecurity+2024+-+Speaker+Post+V2_Tam%C3%A1s+S%C3%A1muel+Tasi.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>6th Annual European Medical Device And Diagnostic Cybersecurity Conference, Berlin, Germany - 2024 -- Chaired day two and also had the privilege to speak at the conference on topics related to the challenges regarding medical device SBOMs.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5f143f46472d09271c92ec5d/f1704edd-1e17-474a-ae68-31a87cc9e124/IMG-20240523-WA0026_.jpg</image:loc>
      <image:title>Gallery</image:title>
      <image:caption>6th Annual European Medical Device And Diagnostic Cybersecurity Conference, Berlin, Germany - 2024 -- Chaired day two and also had the privilege to speak at the conference on topics related to the challenges regarding medical device SBOMs.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://tstasi.com/resume</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2026-01-16</lastmod>
  </url>
</urlset>

