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  1. Chapter and Conference Paper

    The Sixth Visual Object Tracking VOT2018 Challenge Results

    The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...

    Matej Kristan, Aleš Leonardis, Jiří Matas in Computer Vision – ECCV 2018 Workshops (2019)

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    Chapter and Conference Paper

    Handwritten Texts for Personality Identification Using Convolutional Neural Networks

    The task consists in estimating the personality traits of users from their handwritten texts. To classify them, we use the scanned image of the subject hand-written essay divided in patches and we propose in t...

    José E. Valdez-Rodríguez, Hiram Calvo in Pattern Recognition and Information Forens… (2019)

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    Chapter and Conference Paper

    Fiber Tracking in Traumatic Brain Injury: Comparison of 9 Tractography Algorithms

    Traumatic brain injury (TBI) can cause widespread and long-lasting damage to white matter. Diffusion weighted imaging methods are uniquely sensitive to this disruption. Even so, traumatic injury often disrupts...

    Emily L. Dennis, Gautam Prasad in Brainlesion: Glioma, Multiple Sclerosis, S… (2016)

  4. Chapter and Conference Paper

    Photoacoustic Imaging Paradigm Shift: Towards Using Vendor-Independent Ultrasound Scanners

    Photoacoustic (PA) imaging requires channel data acquisition synchronized with a laser firing system. Unfortunately, the access to these channel data is only available on specialized research systems, and most...

    Haichong K. Zhang, **aoyu Guo in Medical Image Computing and Computer-Assis… (2016)

  5. Chapter and Conference Paper

    Interestingness Prediction by Robust Learning to Rank

    The problem of predicting image or video interestingness from their low-level feature representations has received increasing interest. As a highly subjective visual attribute, annotating the interestingness v...

    Yanwei Fu, Timothy M. Hospedales, Tao **ang, Shaogang Gong in Computer Vision – ECCV 2014 (2014)

  6. Chapter and Conference Paper

    Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation

    Most existing zero-shot learning approaches exploit transfer learning via an intermediate-level semantic representation such as visual attributes or semantic word vectors. Such a semantic representation is sha...

    Yanwei Fu, Timothy M. Hospedales, Tao **ang, Zhenyong Fu in Computer Vision – ECCV 2014 (2014)

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    Chapter and Conference Paper

    A 3D Tracker for Ground-Moving Objects

    Multi-object tracking is a major area of research because of its wide application scope. In this paper we describe a set of improvements, toward video surveillance context, to the multi-object tracker proposed...

    M. Rogez, L. Robinault, L. Tougne in Advances in Visual Computing (2014)

  8. Chapter and Conference Paper

    Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation

    The success of craniomaxillofacial (CMF) surgery depends not only on the surgical techniques, but also upon an accurate surgical planning. However, surgical planning for CMF surgery is challenging due to the a...

    Yi Ren, Li Wang, Yaozong Gao, Zhen Tang in Medical Image Computing and Computer-Assis… (2014)

  9. Chapter and Conference Paper

    Active Echo: A New Paradigm for Ultrasound Calibration

    In ultrasound-guided medical procedures, accurate tracking of interventional tools with respect to the US probe is crucial to patient safety and clinical outcome. US probe tracking requires an unavoidable cali...

    **aoyu Guo, Alexis Cheng, Haichong K. Zhang in Medical Image Computing and Computer-Assis… (2014)

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    Chapter and Conference Paper

    Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder

    We present an anatomically guided feature selection scheme for prediction of neurological disorders based on brain connectivity networks. Using anatomical information not only gives rise to an interpretable mo...

    Veronika Cheplygina, David M. J. Tax, Marco Loog in Machine Learning in Medical Imaging (2014)

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    Chapter and Conference Paper

    Whole Brain Functional Connectivity Using Multi-scale Spatio-Spectral Random Effects Model

    Functional brain networks produce connected low frequency patterns of activity when the brain is at rest which can be analyzed with resting state functional MRI (rs-fMRI) by fitting general linear models for s...

    Hakmook Kang, Xue Yang, Frederick W. Bryan in Multimodal Brain Image Analysis (2013)

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    Chapter and Conference Paper

    “SynMax”: A Mathematics Application Tool for Down Syndrome Children

    Research has shown that the number skills delayed relative to reading skills for Down Syndrome (DS) children. The DS children use the same learning strategy as the normal children, but their learning stages de...

    Afza Shafie, Wan Fatimah Wan Ahmad, Nadhrah Mohd. in Advances in Visual Informatics (2013)

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    Chapter and Conference Paper

    On the Evaluation of Graph Centrality for Shape Matching

    Graph centrality has been extensively applied in Social Network Analysis to model the interaction of actors and the information flow inside a graph. In this paper, we investigate the usage of graph centralitie...

    Samuel de Sousa, Nicole M. Artner in Graph-Based Representations in Pattern Rec… (2013)

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    Chapter and Conference Paper

    Atlas-Based Segmentation of the Subthalamic Nucleus, Red Nucleus, and Substantia Nigra for Deep Brain Stimulation by Incorporating Multiple MRI Contrasts

    Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective therapy for drug-resistant Parkinson’s disease (PD). Pre-operative identification of the STN is an important step for this neurosur...

    Yiming **ao, Lara Bailey in Information Processing in Computer-Assiste… (2012)

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    Chapter and Conference Paper

    Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching

    Similarity and correspondence are two fundamental archetype problems in shape analysis, encountered in numerous application in computer vision and pattern recognition. Many methods for shape similarity and cor...

    Chaohui Wang, Michael M. Bronstein in Scale Space and Variational Methods in Com… (2012)

  16. Chapter and Conference Paper

    Hierarchical Structural Map** for Globally Optimized Estimation of Functional Networks

    In this study, we propose a framework to map functional MRI (fMRI) activation signals using DTI-tractography. This framework, which we term functional by structural hierarchical (FSH) map**, models the regio...

    Alex D. Leow, Liang Zhan, Donatello Arienzo in Medical Image Computing and Computer-Assis… (2012)

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    Chapter and Conference Paper

    Simulation of the Abdominal Wall and Its Arteries after Pneumoperitoneum for Guidance of Port Positioning in Laparoscopic Surgery

    During laparoscopic surgery, the trocar insertion can injure arteries of the abdominal wall. Although these arteries are visible in a preoperative computed tomography [CT] with contrast medium, it is difficult...

    J. Bano, A. Hostettler, S. A. Nicolau, C. Doignon, H. S. Wu in Advances in Visual Computing (2012)

  18. Chapter and Conference Paper

    Direct 3D Ultrasound to Video Registration Using Photoacoustic Effect

    Interventional guidance systems require surgical navigation systems to register different tools and devices together. Standard navigation systems have various drawbacks leading to target registration errors (T...

    Alexis Cheng, ** U. Kang, Russell H. Taylor in Medical Image Computing and Computer-Assis… (2012)

  19. Chapter and Conference Paper

    Towards Person Identification and Re-identification with Attributes

    Visual identification of an individual in a crowded environment observed by a distributed camera network is critical to a variety of tasks including commercial space management, border control, and crime preve...

    Ryan Layne, Timothy M. Hospedales in Computer Vision – ECCV 2012. Workshops and… (2012)

  20. No Access

    Chapter and Conference Paper

    Implementation and Analysis of JPEG2000 System on a Chip

    This paper presents a novel implementation of the JPEG2000 standard as a system on a chip (SoC). While most of the research in this field centers on acceleration of the EBCOT Tier I encoder, this work focuses ...

    John M. McNichols, Eric J. Balster, William F. Turri in Advances in Visual Computing (2012)

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