[AVI 2020] UTA4: Medical Imaging DICOM files dataset.
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Updated
Jan 4, 2021 - CSS
[AVI 2020] UTA4: Medical Imaging DICOM files dataset.
[IJHCS] UTA7: a dataset with DICOM files of medical imaging provided by radiologists. The work was published in the International Journal of Human-Computer Studies.
Website of the Georgia Tech Visualization Lab
[AVI 2020] UTA4: Rates (BIRADS) dataset.
[IJHCS] UTA7: a dataset of rates (BI-RADS) provided by clinicians resulted from classifying the given medical images for breast cancer diagnosis.
[AVI 2020] UTA4: NASA-TLX dataset.
[IJHCS] UTA7: a dataset of clinicians' NASA-TLX results from our user studies.
[IJHCS] UTA7: a dataset of time-on-task during our user studies extracted from clinicians while interacting with our assistant across the breast cancer diagnosis.
[AVI 2020] UTA4: Time dataset.
[IJHCS] UTA7: a dataset of clinicians' results of the System Usability Scale (SUS) answers from our user studies.
[AVI 2020] UTA4: SUS dataset.
[IJHCS] UTA7: a dataset of heatmaps and images resulted from computing the given abnormalities which were manually delineated by clinicians while annotating the breast cancer lesions.
Web application that for users to view online content (Movies/TV Shows) descriptions and post their reviews
Prototype for a recipe sharing app
Linked Data Visualization Book
Website for Visual Intelligence Interest Group (VIIG), which has been updating since 2024.4.
[AVI 2020] UTA4: Severity (BIRADS) & Pathology Classifications dataset. The work was presented in the Advanced Visual Interfaces conference.
A website that connects student groups with one another, and matches them with volunteer coordinators. Interface only.
Small presentation in connection with the module Human–computer interaction, Part of the third semester computer science.
Desktop application for controling multimedia presentations in differents formats with Myo Armand - bluethooth device created by ©Thalmic Labs company. Written in Java 8 with JavaFX library, build with Maven.
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