Suchergebnisse - [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing~

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    Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs von Niemeijer, Meindert, van Ginneken, Bram, Cree, Michael J, Mizutani, Atsushi, Quellec, Gwenole, Sanchez, Clara I, Zhang, Bob, Hornero, Roberto, Lamard, Mathieu, Muramatsu, Chisako, Wu, Xiangqian, Cazuguel, Guy, You, Jane, Mayo, AgustIn, Qin Li, Hatanaka, Yuji, Cochener, Beatrice, Roux, Christian, Karray, Fakhri, Garcia, MarIa, Fujita, Hiroshi, Abramoff, Michael D

    ISSN: 0278-0062, 1558-254X, 1558-254X
    Veröffentlicht: United States IEEE 01.01.2010
    Veröffentlicht in IEEE transactions on medical imaging (01.01.2010)
    “… The detection of microaneurysms in digital color fundus photographs is a critical first step in automated screening for diabetic retinopathy (DR), a common …”
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    Journal Article
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    The signal separation evaluation campaign (2007–2010): Achievements and remaining challenges von Vincent, Emmanuel, Araki, Shoko, Theis, Fabian, Nolte, Guido, Bofill, Pau, Sawada, Hiroshi, Ozerov, Alexey, Gowreesunker, Vikrham, Lutter, Dominik, Duong, Ngoc Q.K.

    ISSN: 0165-1684, 1872-7557
    Veröffentlicht: Elsevier B.V 01.08.2012
    Veröffentlicht in Signal processing (01.08.2012)
    “… We present the outcomes of three recent evaluation campaigns in the field of audio and biomedical source separation. These campaigns have witnessed a boom in …”
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    Journal Article
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    BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification von Appriou, Aurélien, Pillette, Léa, Trocellier, David, Dutartre, Dan, Cichocki, Andrzej, Lotte, Fabien

    ISSN: 1424-8220, 1424-8220
    Veröffentlicht: Basel MDPI AG 26.08.2021
    Veröffentlicht in Sensors (26.08.2021)
    “… in processing and classification of both EEG signals and bio signals, such as electrodermal activity (EDA), heart rate (HR) or breathing. If some EEG-based analysis tools are already available for online BCIs with a number of online BCI platforms …”
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    Hyperspectral Super-Resolution of Locally Low Rank Images From Complementary Multisource Data von Veganzones, Miguel A., Simoes, Miguel, Licciardi, Giorgio, Yokoya, Naoto, Bioucas-Dias, Jose M., Chanussot, Jocelyn

    ISSN: 1057-7149, 1941-0042
    Veröffentlicht: United States IEEE 01.01.2016
    Veröffentlicht in IEEE transactions on image processing (01.01.2016)
    “… Remote sensing hyperspectral images (HSIs) are quite often low rank, in the sense that the data belong to a low dimensional subspace/manifold …”
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    Dynamic Bayesian Networks for Symbolic Polyphonic Pitch Modeling von Raczyński, Stanisław A., Vincent, Emmanuel, Sagayama, Shigeki

    ISSN: 1558-7916, 1558-7924
    Veröffentlicht: Piscataway, NJ IEEE 01.09.2013
    “… Symbolic pitch modeling is a way of incorporating knowledge about relations between pitches into the process of analyzing musical information or signals …”
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    Antenna Selection for Reconfigurable Intelligent Surfaces: A Transceiver-Agnostic Passive Beamforming Configuration von Xu, Chao, An, Jiancheng, Bai, Tong, Sugiura, Shinya, Maunder, Robert G., Yang, Lie-Liang, Di Renzo, Marco, Hanzo, Lajos

    ISSN: 1536-1276, 1558-2248
    Veröffentlicht: New York IEEE 01.11.2023
    Veröffentlicht in IEEE transactions on wireless communications (01.11.2023)
    “… Reconfigurable intelligent surface (RIS) is capable of improving the wireless system performance by steering the reflected signal in the desired direction …”
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    NMMD: Efficient Cryo-EM Flexible Fitting Based on Simultaneous Normal Mode and Molecular Dynamics atomic displacements von Vuillemot, Rémi, Miyashita, Osamu, Tama, Florence, Rouiller, Isabelle, Jonic, Slavica

    ISSN: 0022-2836, 1089-8638, 1089-8638
    Veröffentlicht: Netherlands Elsevier Ltd 15.04.2022
    Veröffentlicht in Journal of molecular biology (15.04.2022)
    “… [Display omitted] •NMMD: new method for flexible fitting of atomic structures into cryo-EM maps.•NMMD efficiently combines normal mode analysis and molecular …”
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    Augmenting Motor Imagery Learning for Brain-Computer Interfacing Using Electrical Stimulation as Feedback von Bhattacharyya, Saugat, Clerc, Maureen, Hayashibe, Mitsuhiro

    ISSN: 2576-3202, 2576-3202
    Veröffentlicht: Piscataway IEEE 01.11.2019
    Veröffentlicht in IEEE transactions on medical robotics and bionics (01.11.2019)
    “… Brain-computer Interfaces (BCI) and Functional electrical stimulation (FES) contribute significantly to induce cortical learning and to elicit peripheral …”
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    Detecting EEG outliers for BCI on the Riemannian manifold using spectral clustering von Yamamoto, Maria Sayu, Sadatnejad, Khadijeh, Tanaka, Toshihisa, Islam, Rabiul, Tanaka, Yuichi, Lotte, Fabien

    ISSN: 2694-0604, 1558-4615, 2694-0604
    Veröffentlicht: IEEE 01.07.2020
    “… Automatically detecting and removing Electroencephalogram (EEG) outliers is essential to design robust brain-computer interfaces (BCIs …”
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    Tagungsbericht Journal Article
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    Cracking the social code of speech prosody using reverse correlation von Ponsot, Emmanuel, Burred, Juan José, Belin, Pascal, Aucouturier, Jean-Julien

    ISSN: 1091-6490, 1091-6490
    Veröffentlicht: United States 10.04.2018
    “… Human listeners excel at forming high-level social representations about each other, even from the briefest of utterances. In particular, pitch is widely …”
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    Multifractal Desynchronization of the Cardiac Excitable Cell Network During Atrial Fibrillation. I. Multifractal Analysis of Clinical Data von Attuel, Guillaume, Gerasimova-Chechkina, Evgeniya, Argoul, Françoise, Yahia, Hussein, Arneodo, Alain

    ISSN: 1664-042X, 1664-042X
    Veröffentlicht: Switzerland Frontiers Media SA 26.03.2018
    Veröffentlicht in Frontiers in Physiology (26.03.2018)
    “… Atrial fibrillation (AF) is a cardiac arrhythmia characterized by rapid and irregular atrial electrical activity with a high clinical impact on stroke …”
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    Modeling complex EEG data distribution on the Riemannian manifold toward outlier detection and multimodal classification von Yamamoto, Maria Sayu, Sadatnejad, Khadijeh, Tanaka, Toshihisa, Islam, Md. Rabiul, Dehais, Frederic, Tanaka, Yuichi, Lotte, Fabien

    ISSN: 0018-9294, 1558-2531, 1558-2531
    Veröffentlicht: United States IEEE 01.02.2024
    Veröffentlicht in IEEE Transactions on Biomedical Engineering (01.02.2024)
    “… Objective: The usage of Riemannian geometry for Brain-computer interfaces (BCIs) has gained momentum in re-cent years …”
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    Multiscale Analysis of Intensive Longitudinal Biomedical Signals and Its Clinical Applications von Nakamura, Toru, Kiyono, Ken, Wendt, Herwig, Abry, Patrice, Yamamoto, Yoshiharu

    ISSN: 0018-9219, 1558-2256
    Veröffentlicht: New York IEEE 01.02.2016
    Veröffentlicht in Proceedings of the IEEE (01.02.2016)
    “… Recent advances in wearable and/or biomedical sensing technologies have made it possible to record very long-term, continuous biomedical signals, referred to as biomedical intensive longitudinal data (ILD …”
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    Optimizing Source and Sensor Placement for Sound Field Control: An Overview von Koyama, Shoichi, Chardon, Gilles, Daudet, Laurent

    ISSN: 2329-9290, 2329-9304
    Veröffentlicht: Piscataway IEEE 01.01.2020
    “… In order to control an acoustic field inside a target region, it is important to choose suitable positions of secondary sources (loudspeakers) and sensors …”
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    Determinants and prognostic significance of exercise pulmonary hypertension in asymptomatic severe aortic stenosis von Lancellotti, Patrizio, Magne, Julien, Donal, Erwan, O'Connor, Kim, Dulgheru, Raluca, Rosca, Monica, Pierard, Luc A

    ISSN: 1524-4539, 1524-4539
    Veröffentlicht: United States 14.08.2012
    Veröffentlicht in Circulation (New York, N.Y.) (14.08.2012)
    “… Recent studies emphasized the usefulness of exercise stress echocardiography in asymptomatic patients with aortic stenosis. Nevertheless, the additive value of …”
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