Search Results - "Pourtaherian, Arash"

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  1. 1

    Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators by Bamberg, Lennart, Pourtaherian, Arash, Waeijen, Luc, Chahar, Anupam, Moreira, Orlando

    “…Manufacturing-viable neuromorphic chips require novel compute architectures to achieve the massively parallel and efficient information processing the brain…”
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    Journal Article
  2. 2

    Mask-MCNet: Tooth instance segmentation in 3D point clouds of intra-oral scans by Zanjani, Farhad Ghazvinian, Pourtaherian, Arash, Zinger, Svitlana, Moin, David Anssari, Claessen, Frank, Cherici, Teo, Parinussa, Sarah, de With, Peter H.N.

    Published in Neurocomputing (Amsterdam) (17-09-2021)
    “…Computational dentistry uses computerized methods and mathematical models for dental image analysis. One of the fundamental problems in computational dentistry…”
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    Journal Article
  3. 3

    CATS: Combined Activation and Temporal Suppression for Efficient Network Inference by Zhu, Zeqi, Pourtaherian, Arash, Waeijen, Luc, Akkaya, Ibrahim Batuhan, Bondarev, Egor, Moreira, Orlando

    “…Brain-inspired event-driven processors execute deep neural networks (DNNs) in a sparsity-aware manner, leading to superior performance compared to conventional…”
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    Conference Proceeding
  4. 4

    ARTS: An adaptive regularization training schedule for activation sparsity exploration by Zhu, Zeqi, Pourtaherian, Arash, Waeijen, Luc, Bamberg, Lennart, Bondarev, Egor, Moreira, Orlando

    “…Brain-inspired event-based processors have attracted considerable attention for edge deployment because of their ability to efficiently process Convolutional…”
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    Conference Proceeding
  5. 5

    Medical Instrument Detection in 3-Dimensional Ultrasound Data Volumes by Pourtaherian, Arash, Scholten, Harm J., Kusters, Lieneke, Zinger, Svitlana, Mihajlovic, Nenad, Kolen, Alexander F., Zuo, Fei, Ng, Gary C., Korsten, Hendrikus H. M., de With, Peter H. N.

    Published in IEEE transactions on medical imaging (01-08-2017)
    “…Ultrasound-guided medical interventions are broadly applied in diagnostics and therapy, e.g., regional anesthesia or ablation. A guided intervention using 2-D…”
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    Journal Article
  6. 6

    Infant Monitoring System for Real-Time and Remote Discomfort Detection by Li, Cheng, Pourtaherian, Arash, van Onzenoort, Lonneke, Tjon a Ten, Walter E., de With, Peter H. N.

    Published in IEEE transactions on consumer electronics (01-11-2020)
    “…Infant monitoring is very important in daily life, since infants lack the ability to verbalize and communicate with their caregivers. However, a full-time…”
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    Journal Article
  7. 7

    Robust and semantic needle detection in 3D ultrasound using orthogonal-plane convolutional neural networks by Pourtaherian, Arash, Ghazvinian Zanjani, Farhad, Zinger, Svitlana, Mihajlovic, Nenad, Ng, Gary C., Korsten, Hendrikus H. M., de With, Peter H. N.

    “…Purpose During needle interventions, successful automated detection of the needle immediately after insertion is necessary to allow the physician identify and…”
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    Journal Article
  8. 8

    Video-based discomfort detection for infants by Sun, Yue, Shan, Caifeng, Tan, Tao, Long, Xi, Pourtaherian, Arash, Zinger, Svitlana, de With, Peter H. N.

    Published in Machine vision and applications (01-07-2019)
    “…Infants are particularly vulnerable to the effects of pain and discomfort, which can lead to abnormal brain development, yielding long-term adverse…”
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    Journal Article
  9. 9

    Catheter segmentation in three-dimensional ultrasound images by feature fusion and model fitting by Yang, Hongxu, Shan, Caifeng, Pourtaherian, Arash, Kolen, Alexander F, de With, Peter H N

    “…Ultrasound (US) has been increasingly used during interventions, such as cardiac catheterization. To accurately identify the catheter inside US images, extra…”
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    Journal Article
  10. 10

    STAR: Sparse Thresholded Activation under partial-Regularization for Activation Sparsity Exploration by Zhu, Zeqi, Pourtaherian, Arash, Waeijen, Luc, Bondarev, Egor, Moreira, Orlando

    “…Brain-inspired event-driven processors execute deep neural networks (DNNs) in a sparsity-aware manner. Specifically, if more zeros are induced in the…”
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    Conference Proceeding
  11. 11

    SpArNet: Sparse Asynchronous Neural Network execution for energy efficient inference by Khoei, Mina A, Yousefzadeh, Amirreza, Pourtaherian, Arash, Moreira, Orlando, Tapson, Jonathan

    “…Biological neurons are known to have sparse and asynchronous communications using spikes. Despite our incomplete understanding of processing strategies of the…”
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    Conference Proceeding
  12. 12

    Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators by Bamberg, Lennart, Pourtaherian, Arash, Waeijen, Luc, Chahar, Anupam, Moreira, Orlando

    Published 13-12-2021
    “…Manufacturing-viable neuromorphic chips require novel computer architectures to achieve the massively parallel and efficient information processing the brain…”
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    Journal Article
  13. 13

    TROD: Tracking with occlusion handling and drift correction by Pourtaherian, Arash, Wijnhoven, Rob G. J., de With, Peter H. N.

    “…We present a tracking framework in which we learn a HOG-based object detector in the first video frame and use this detector to localize the object in…”
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    Conference Proceeding
  14. 14

    Localization of Partially Visible Needles in 3D Ultrasound Using Dilated CNNs by Pourtaherian, Arash, Mihajlovic, Nenad, Ghazvinian Zanjani, Farhad, Zinger, Svitlana, Ng, Gary C., Korsten, Hendrikus H.M., De With, Peter H.N.

    “…Guidance of needles for interventions that involve percutaneous advancing of a needle to a target inside the patient's body is one of the key uses of…”
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    Conference Proceeding
  15. 15

    Basic model and governing equation of solar cells used in power and control applications by Izadian, A., Pourtaherian, A., Motahari, S.

    “…This paper provides an overview of modeling of a group of commercially available solar cells to ease the study of solar powered electric systems. The models…”
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    Conference Proceeding