A5044904705- Augmented Reality Applications
- Mobile Learning in Education
- Diabetic Foot Ulcer Assessment and Management
- Anatomy and Medical Technology
- Interconnection Networks and Systems
- Advancements in Battery Materials
- ICT in Developing Communities
- Lower Extremity Biomechanics and Pathologies
- Video Analysis and Summarization
- Interactive and Immersive Displays
- Robotics and Sensor-Based Localization
- Data Visualization and Analytics
- Advanced Text Analysis Techniques
- Personal Information Management and User Behavior
- Indoor and Outdoor Localization Technologies
- Retinal Diseases and Treatments
- Hand Gesture Recognition Systems
- Surgical Simulation and Training
- Mobile Health and mHealth Applications
- Retinal Imaging and Analysis
- Educational Games and Gamification
- Multimodal Machine Learning Applications
- Context-Aware Activity Recognition Systems
- Retinal and Optic Conditions
- Advanced Memory and Neural Computing
University of Amsterdam
2024
Amsterdam University Medical Centers
2024
Intel (United States)
2023
Verizon Media (United States)
2020-2021
Verizon (United States)
2020-2021
Charles Sturt University
2020-2021
University of Houston
2016-2017
With the proliferation of smart phone, a major growth in use apps related to health category, specifically those concerned with foot can be observed. Although new, these are being used practically for scanning feet an aim providing accurate information about various properties human foot. availability many 'foot and measuring apps' app stores, need evaluation system such deemed necessary as little regarding evidence-based quality is available. To characterize assessment measurement...
The purpose of this study was to develop a deep learning algorithm for detecting and quantifying incomplete retinal pigment epithelium outer atrophy (iRORA) complete (cRORA) in optical coherence tomography (OCT) that generalizes well data from different devices validate an intermediate age-related macular degeneration (iAMD) cohort.
Augmented reality (AR) has been widely used in education, particularly for child education. This paper presents the design and implementation of a novel mobile app, Learn2Write, using machine learning techniques augmented to teach alphabet writing. The app two main features: (i) guided users how write (ii) on-screen AR-based handwriting testing learning. A learner needs on screen testing, whereas allows one evaluate writing or board real world environment. We implement approach use detect an...
A Holographic iRay prototype focusing on medical augmented reality is presented. The built using Microsoft HoloLens and Unity engine based a previous system for iPad. human subject scanned magnetic resonance imaging the torso surface pre-operatively segmented 3D registration. registration performed iterative closest point algorithm between pre-operative active mesh provided by spatial mapping gaze interaction. scanning box visualized at gazing to help user select targeting area. sampled...
Exploring and analyzing data using visualizations is at the heart of many decision-making tasks. Typically, people perform visual analysis mouse touch interactions. While such interactions are often easy to use, they can be inadequate for users express complex information may require steps complete a task. Recently natural language interaction has emerged as promising technique supporting exploration with visualization, user analytical question more easily. In this paper, we investigate how...
Typically, people perform visual data analysis using mouse and touch interactions. While such interactions are often easy to use, they can be inadequate for users express complex information may require many steps complete a task. Recently natural language interaction has emerged as promising technique supporting exploration with visualization, the user analytical question more easily. In this paper, we investigate how synergistically combine mouse-based direct manipulations so that weakness...
Using depth information has become more popular in recent years, as it adds a new dimension to 2D camera views. We have developed novel mobile application called iRay, which uses achieve highly accurate markerless registration on device for medical use. use Structure Sensor capture that is portable iPad. Its SDK also provides SLAM data track pose. ICP applied between the 3D surface of human torso and pre-scanned model. The experiments demonstrate our results under motion blur, partial...
This article introduces a performance analysis technique that accounts for interlayer dependencies in multilayer Networks-on-Chip (NoCs). is based on estimating queuing delays and blocking probabilities between layers.
Mobile games can contribute to learning at greater success. In this paper, we have developed and evaluated a novel educational game, named FoodCalorie, learn the food calorie intake standards. Our game is aimed values of various traditional Bangladeshi foods standard that varies with age gender. study confirms finding existing studies game-based enhance experience.
<sec> <title>BACKGROUND</title> As the use of smartphones increases globally across various fields research and technology, significant contributions to sectors related health, specifically foot can be observed. Numerous smartphone apps are now being used for providing accurate information about foot-related properties. Corresponding this abundance scanning measuring available in app stores, there is a need evaluating these apps, as limited regarding their evidence-based quality available....
Networks-on-Chip (NoCs) used in commercial many-core processors typically incorporate priority arbitration. Moreover, they experience bursty traffic due to application workloads. However, most state-of-the-art NoC analytical performance analysis techniques assume fair arbitration and simple models. To address these limitations, we propose an modeling technique for priority-aware NoCs under traffic. Experimental evaluations with synthetic show that the proposed approach has less than 10%...