Search Results - "[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing"

Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs by 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

“…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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The signal separation evaluation campaign (2007–2010): Achievements and remaining challenges by Vincent, Emmanuel, Araki, Shoko, Theis, Fabian, Nolte, Guido, Bofill, Pau, Sawada, Hiroshi, Ozerov, Alexey, Gowreesunker, Vikrham, Lutter, Dominik, Duong, Ngoc Q.K.

“…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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Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography by Kirişli, H.A., Schaap, M., Metz, C.T., Dharampal, A.S., Meijboom, W.B., Papadopoulou, S.L., Dedic, A., Nieman, K., de Graaf, M.A., Meijs, M.F.L., Cramer, M.J., Broersen, A., Cetin, S., Eslami, A., Flórez-Valencia, L., Lor, K.L., Matuszewski, B., Melki, I., Mohr, B., Öksüz, I., Shahzad, R., Wang, C., Kitslaar, P.H., Unal, G., Katouzian, A., Orkisz, M., Chen, C.M., Precioso, F., Najman, L., Masood, S., Ünay, D., van Vliet, L., Moreno, R., Goldenberg, R., Vuçini, E., Krestin, G.P., Niessen, W.J., van Walsum, T.

“…[Display omitted] •Evaluation framework for coronary artery lumen segmentation and stenosis grading.•Description of the datasets and creation of reference…”
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Hyperspectral Super-Resolution of Locally Low Rank Images From Complementary Multisource Data by Veganzones, Miguel A., Simoes, Miguel, Licciardi, Giorgio, Yokoya, Naoto, Bioucas-Dias, Jose M., Chanussot, Jocelyn

“…Remote sensing hyperspectral images (HSIs) are quite often low rank, in the sense that the data belong to a low dimensional subspace/manifold. This has been…”
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Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge by Timmins, Kimberley M., van der Schaaf, Irene C., Bennink, Edwin, Ruigrok, Ynte M., An, Xingle, Baumgartner, Michael, Bourdon, Pascal, De Feo, Riccardo, Noto, Tommaso Di, Dubost, Florian, Fava-Sanches, Augusto, Feng, Xue, Giroud, Corentin, Group, Inteneural, Hu, Minghui, Jaeger, Paul F., Kaiponen, Juhana, Klimont, Michał, Li, Yuexiang, Li, Hongwei, Lin, Yi, Loehr, Timo, Ma, Jun, Maier-Hein, Klaus H., Marie, Guillaume, Menze, Bjoern, Richiardi, Jonas, Rjiba, Saifeddine, Shah, Dhaval, Shit, Suprosanna, Tohka, Jussi, Urruty, Thierry, Walińska, Urszula, Yang, Xiaoping, Yang, Yunqiao, Yin, Yin, Velthuis, Birgitta K., Kuijf, Hugo J.

“…Accurate detection and quantification of unruptured intracranial aneurysms (UIAs) is important for rupture risk assessment and to allow an informed treatment…”
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Antenna Selection for Reconfigurable Intelligent Surfaces: A Transceiver-Agnostic Passive Beamforming Configuration by Xu, Chao, An, Jiancheng, Bai, Tong, Sugiura, Shinya, Maunder, Robert G., Yang, Lie-Liang, Di Renzo, Marco, Hanzo, Lajos

“…Reconfigurable intelligent surface (RIS) is capable of improving the wireless system performance by steering the reflected signal in the desired direction. One…”
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BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification by Appriou, Aurélien, Pillette, Léa, Trocellier, David, Dutartre, Dan, Cichocki, Andrzej, Lotte, Fabien

“…Research on brain–computer interfaces (BCIs) has become more democratic in recent decades, and experiments using electroencephalography (EEG)-based BCIs has…”
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NMMD: Efficient Cryo-EM Flexible Fitting Based on Simultaneous Normal Mode and Molecular Dynamics atomic displacements by Vuillemot, Rémi, Miyashita, Osamu, Tama, Florence, Rouiller, Isabelle, Jonic, Slavica

“…[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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Extraction of Airways From CT (EXACT'09) by Lo, Pechin, van Ginneken, Bram, Reinhardt, Joseph M., Yavarna, Tarunashree, de Jong, Pim A., Irving, Benjamin, Fetita, Catalin, Ortner, Margarete, Pinho, Rômulo, Sijbers, Jan, Feuerstein, Marco, Fabijanska, Anna, Bauer, Christian, Beichel, Reinhard, Mendoza, Carlos S., Wiemker, Rafael, Lee, Jaesung, Reeves, Anthony P., Born, Silvia, Weinheimer, Oliver, van Rikxoort, Eva M., Tschirren, Juerg, Mori, Ken, Odry, Benjamin, Naidich, David P., Hartmann, Ieneke, Hoffman, Eric A., Prokop, Mathias, Pedersen, Jesper H., de Bruijne, Marleen

“…This paper describes a framework for establishing a reference airway tree segmentation, which was used to quantitatively evaluate 15 different airway tree…”
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Cracking the social code of speech prosody using reverse correlation by Ponsot, Emmanuel, Burred, Juan José, Belin, Pascal, Aucouturier, Jean-Julien

“…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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Modeling complex EEG data distribution on the Riemannian manifold toward outlier detection and multimodal classification by Yamamoto, Maria Sayu, Sadatnejad, Khadijeh, Tanaka, Toshihisa, Islam, Md. Rabiul, Dehais, Frederic, Tanaka, Yuichi, Lotte, Fabien

“…Objective: The usage of Riemannian geometry for Brain-computer interfaces (BCIs) has gained momentum in re-cent years. Most of the machine learning techniques…”
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Optimizing Source and Sensor Placement for Sound Field Control: An Overview by Koyama, Shoichi, Chardon, Gilles, Daudet, Laurent

“…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 by Lancellotti, Patrizio, Magne, Julien, Donal, Erwan, O'Connor, Kim, Dulgheru, Raluca, Rosca, Monica, Pierard, Luc A

“…Recent studies emphasized the usefulness of exercise stress echocardiography in asymptomatic patients with aortic stenosis. Nevertheless, the additive value of…”
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Multiscale Analysis of Intensive Longitudinal Biomedical Signals and Its Clinical Applications by Nakamura, Toru, Kiyono, Ken, Wendt, Herwig, Abry, Patrice, Yamamoto, Yoshiharu

“…Recent advances in wearable and/or biomedical sensing technologies have made it possible to record very long-term, continuous biomedical signals, referred to…”
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Dynamic Bayesian Networks for Symbolic Polyphonic Pitch Modeling by Raczyński, Stanisław A., Vincent, Emmanuel, Sagayama, Shigeki

“…Symbolic pitch modeling is a way of incorporating knowledge about relations between pitches into the process of analyzing musical information or signals. In…”
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Detecting EEG outliers for BCI on the Riemannian manifold using spectral clustering by Yamamoto, Maria Sayu, Sadatnejad, Khadijeh, Tanaka, Toshihisa, Islam, Rabiul, Tanaka, Yuichi, Lotte, Fabien

“…Automatically detecting and removing Electroencephalogram (EEG) outliers is essential to design robust brain-computer interfaces (BCIs). In this paper, we…”
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Wavelet p-Leader Non Gaussian Multiscale Expansions for Heart Rate Variability Analysis in Congestive Heart Failure Patients by Wendt, Herwig, Abry, Patrice, Kiyono, Ken, Hayano, Junichiro, Watanabe, Eiichi, Yamamoto, Yoshiharu

“…Objective: Numerous indices were devised for the statistical characterization of temporal dynamics of heart rate variability (HRV) with the aim to discriminate…”
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Reconstruction, analysis and interpretation of posterior probability distributions of PET images, using the posterior bootstrap by Filipović, Marina, Dautremer, Thomas, Comtat, Claude, Stute, Simon, Barat, Éric

“…The uncertainty of reconstructed PET images remains difficult to assess and to interpret for the use in diagnostic and quantification tasks. Here we provide…”
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TILES-2019: A longitudinal physiologic and behavioral data set of medical residents in an intensive care unit by Yau, Joanna C., Girault, Benjamin, Feng, Tiantian, Mundnich, Karel, Nadarajan, Amrutha, Booth, Brandon M., Ferrara, Emilio, Lerman, Kristina, Hsieh, Eric, Narayanan, Shrikanth

“…The TILES-2019 data set consists of behavioral and physiological data gathered from 57 medical residents (i.e., trainees) working in an intensive care unit…”
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Augmenting Motor Imagery Learning for Brain-Computer Interfacing Using Electrical Stimulation as Feedback by Bhattacharyya, Saugat, Clerc, Maureen, Hayashibe, Mitsuhiro

“…Brain-computer Interfaces (BCI) and Functional electrical stimulation (FES) contribute significantly to induce cortical learning and to elicit peripheral…”
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