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Logo for SlicerRT

SlicerRT

SlicerRT allows users to analyze spatio-temporal accumulation of the therapeutic dosage (radiation, thermal, etc.). Tools include dose visualization, quantitative metrics computation, comparison, and import/export to DICOM format.

  • (C)
  • (C++)
  • (CMake)
  • + 1
3
3
Logo for Revisited Via Appia

Revisited Via Appia

Create visual storylines that involve media like images and videos embedded in a 3D environment with efficient Pointcloud data directly from the web browser.

  • cultural heritage
  • Digital Twins
  • gis
  • + 2
  • (CSS)
  • (HTML)
  • (JavaScript)
  • + 3
2
3

Importing a Roman Transport network

Use open Roman datasets via and import them into a NetLogo model, using the ORBIS dataset (http://orbis.stanford.edu/) to create a set of Roman settlements and major routes between them.

    1
    2

    Out of Africa - Conditional isotropic diffusion

    A reimplementation of the classical study by Young and Bettinger (1992) investigating the possible drivers behind the Out of Africa dispersal of modern humans.

      4
      2

      Landscape and Land Cover Generation

      This algorithm generates landscapes and landcovers in contiguous zones. Users can define different landscape types, landcovers and rules for settlement placement in the setup procedure. It is designed to allow flexible configuration of environmental and social parameters.

        1
        2

        SyGMa

        SyGMa provides fast and lightweight predictions of human metabolites to support discovery scientists design better and safer drugs

        • Workflow technologies
        • (Python)
        2
        2
        Logo for agda-core

        agda-core

        Code underlying the publication: Building a Correct-By-Construction Type Checker for a Dependently Typed Core Language

        • core language
        • Dependent Types
        • type-checking
        • + 2
        • (Haskell)
        • (Markdown)
        • (Other)
        • + 1
        2
        2
        Logo for Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations

        Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations

        Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations

        • Feedforward neural network
        • Machine learning
        • Monte Carlo simulations
        • + 2
          3
          2
          Logo for Code to produce the results of the publication: “Reducing the Soleus Stretch Reflex with Conditioning: Exploring Game- and Impedance-based Biofeedback”

          Code to produce the results of the publication: “Reducing the Soleus Stretch Reflex with Conditioning: Exploring Game- and Impedance-based Biofeedback”

          Code to produce the results of the publication: “Reducing the Soleus Stretch Reflex with Conditioning: Exploring Game- and Impedance-based Biofeedback”

          • Electromyography (EMG)
          • Gamification
          • operant conditioning
          • + 2
            1
            2
            Logo for Code underlying the publication: Exploiting Learned Symmetries in Group Equivariant Convolutions

            Code underlying the publication: Exploiting Learned Symmetries in Group Equivariant Convolutions

            Code underlying the publication: Exploiting Learned Symmetries in Group Equivariant Convolutions

            • equivariance
            • equivariant convolutions
            • separable convolutions
            • (Markdown)
            • (Other)
            • (Python)
            2
            2
            Logo for Code underlying the publication: "Humans disagree with the IoU for measuring object detector localization error."

            Code underlying the publication: "Humans disagree with the IoU for measuring object detector localization error."

            Code underlying the publication: "Humans disagree with the IoU for measuring object detector localization error."

            • Human preference
            • Intersection over Union (IoU)
            • Object detection
            • ("Jupyter Notebook")
            • (Markdown)
            • (Other)
            3
            2
            Logo for Combining-Deeb-Learning-with-Uncertinity

            Combining-Deeb-Learning-with-Uncertinity

            Code and results underlying the publication: Combining Deep Neural Networks and Gaussian Processes for Asphalt Rheological Insights

            • Asphalt binder
            • Asphalt mastic
            • Gaussian process
            • + 3
            • ("Jupyter Notebook")
            • (Markdown)
            • (Other)
            • + 1
            4
            2