Search Results - "Fevens, Thomas"

A Novel Approach for Selecting Effective Threshold Values in Ternary State Estimation Using Particle Swarm Optimization by Davar, Somayeh, Fevens, Thomas

“…Inspired by recent breakthroughs in cyber-physical systems (CPSs) and their applications, in this paper, we propose a novel multi-objective method to optimize…”
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Comparing a Portable Motion Analysis System against the Gold Standard for Potential Anterior Cruciate Ligament Injury Prevention and Screening by Karatzas, Nicolaos, Abdelnour, Patrik, Corban, Jason Philip Aaron Hiro, Zhao, Kevin Y, Veilleux, Louis-Nicolas, Bergeron, Stephane G, Fevens, Thomas, Rivaz, Hassan, Babouras, Athanasios, Martineau, Paul A

“…Knee kinematics during a drop vertical jump, measured by the Kinect V2 (Microsoft, Redmond, WA, USA), have been shown to be associated with an increased risk…”
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Comparing the Drop Vertical Jump Tracking Performance of the Azure Kinect to the Kinect V2 by Abdelnour, Patrik, Zhao, Kevin Y, Babouras, Athanasios, Corban, Jason Philip Aaron Hiro, Karatzas, Nicolaos, Fevens, Thomas, Martineau, Paul Andre

“…Traditional motion analysis systems are impractical for widespread screening of non-contact anterior cruciate ligament (ACL) injury risk. The Kinect V2 has…”
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Three-Dimensional (3D) Animation and Calculation for the Assessment of Engaging Hill–Sachs Lesions With Computed Tomography 3D Reconstruction by Tat, Jimmy, Crawford, Jordan, Chong, Jaron, Powell, Tom, Fevens, Thomas G., Popa, Tiberiu, Martineau, Paul A.

“…To dynamically assess for Hill–Sachs engagement with animated 3-dimensional (3D) shoulder models. We created 3D shoulder models from reconstructed computed…”
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Automatic clinical image segmentation using pathological modeling, PCA and SVM by Li, Shuo, Fevens, Thomas, Krzyżak, Adam, Li, Song

“…Due to the presence of complicated topological and residual features, the segmentation of medical imagery is a difficult problem. In this paper, an automated…”
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HoloPhaseNet: fully automated deep-learning-based hologram reconstruction using a conditional generative adversarial model by Jaferzadeh, Keyvan, Fevens, Thomas

“…Quantitative phase imaging with off-axis digital holography in a microscopic configuration provides insight into the cells’ intracellular content and…”
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An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments by Li, Shuo, Fevens, Thomas, Krzyżak, Adam, Li, Song

“…An automatic variational level set segmentation framework for Computer Aided Dental X-rays Analysis (CADXA) in clinical environments is proposed. Designed for…”
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Brain MRI Tumour Localization and Segmentation Through Deep Learning by Davar, Somayeh, Fevens, Thomas

“…The segmentation of magnetic resonance imaging (MRI) is an important task in medical imaging, particularly for brain MRIs, where accurate segmentation of…”
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Computer-Aided Breast Cancer Diagnosis Based on the Analysis of Cytological Images of Fine Needle Biopsies by Filipczuk, Pawel, Fevens, Thomas, Krzyzak, Adam, Monczak, Roman

“…The effectiveness of the treatment of breast cancer depends on its timely detection. An early step in the diagnosis is the cytological examination of breast…”
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Neighborhood-based interference minimization for stable position-based routing in mobile ad hoc networks by Zadin, Abedalmotaleb, Fevens, Thomas

“…For efficient communication in a mobile ad hoc network (MANET), dealing with interference while performing concurrent multi-hop routing is of great importance…”
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Survival backup strategy for controller placement problem in Software Defined Networking by Alowa, Abdunasser, Fevens, Thomas, Khamayseh, Yaser

“…The core concept of Software Defined Networking (SDN) is to abstract the control layer from the data layer. SDN architectures can provide programmatic…”
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Algorithms for Computing Geometric Measures of Melodic Similarity by Greg Aloupis, Thomas Fevens, Stefan Langerman, Tomomi Matsui, Antonio Mesa, Yurai Nuñez, Rappaport, David, Toussaint, Godfried

“…The development of computer algorithms that mimic the human ability to recognize similar melodies is discussed. New algorithms are presented that further this…”
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Comparing A Novel Smartphone Application To The Kinect V2 For Assessing ACL Injury Risk: 1383 by Zhao, Kevin Yan, Babouras, Athanasios, Abdelnour, Patrik, Fevens, Thomas, Martineau, Paul Andre

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FoCL: Feature-oriented continual learning for generative models by Lao, Qicheng, Mortazavi, Mehrzad, Tahaei, Marzieh, Dutil, Francis, Fevens, Thomas, Havaei, Mohammad

“…In this paper, we propose a general framework in continual learning for generative models: Feature-oriented Continual Learning (FoCL). Unlike previous works…”
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Comparing novel smartphone pose estimation frameworks with the Kinect V2 for knee tracking during athletic stress tests by Babouras, Athanasios, Abdelnour, Patrik, Fevens, Thomas, Martineau, Paul A.

“…Purpose To compare the accuracy of the Microsoft Kinect V2 with novel pose estimation frameworks, in assessing knee kinematics during athletic stress tests,…”
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Dual Adversarial Inference for Text-to-Image Synthesis by Lao, Qicheng, Havaei, Mohammad, Pesaranghader, Ahmad, Dutil, Francis, Jorio, Lisa Di, Fevens, Thomas

“…Synthesizing images from a given text description involves engaging two types of information: the content, which includes information explicitly described in…”
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Using an Affordable Motion Capture System to Evaluate the Prognostic Value of Drop Vertical Jump Parameters for Noncontact ACL Injury by Corban, Jason, Karatzas, Nicolaos, Zhao, Kevin Y., Babouras, Athanasios, Bergeron, Stephane, Fevens, Thomas, Rivaz, Hassan, Martineau, Paul A.

“…Background: Knee kinematic parameters during a drop vertical jump (DVJ) have been demonstrated to be associated with increased risk of noncontact anterior…”
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Influence of Feature Set Reduction on Breast Cancer Malignancy Classification of Fine Needle Aspiration Biopsies by Jeleń, Łukasz, Krzyżak, Adam, Fevens, Thomas, Jeleń, Michał

“…Abstract Grading of breast cancer malignancy is a key step in its diagnosis, which in turn helps to determine its prognosis and a course of treatment. In this…”
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Optimized keyframe extraction for 3D character animations by Jin, Chao, Fevens, Thomas, Mudur, Sudhir

“…ABSTRACT In this paper, we propose a new method to automatically extract keyframes from animation sequences. Our method can be applied equally to both skeletal…”
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Addressing Different Goal Selection Strategies In Hindsight Experience Replay With Actor-Critic Methods For Robotic Hand Manipulation by Shams, Ayman, Fevens, Thomas

“…One of the most challenging problems in reinforcement learning is dealing with minimal rewards obtained from an environment. We present a combined technique of…”
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