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1
Phase Oscillatory Network and Visual Pattern Recognition
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Phase Oscillatory Network and Visual Pattern Recognition

Follmann, Rosangela ; Macau, Elbert E. N. ; Rosa, Epaminondas ; Piqueira, Jose R. C.

IEEE transaction on neural networks and learning systems, 2015-07, Vol.26 (7), p.1539-1544

United States: IEEE

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Interpolated Markov chains for eukaryotic promoter recognition
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Interpolated Markov chains for eukaryotic promoter recognition

OHLER, U ; HARBECK, S ; NIEMANN, H ; NÖTH, E ; REESE, M. G

Bioinformatics (Oxford, England), 1999-05, Vol.15 (5), p.362-369 [Periódico revisado por pares]

Oxford: Oxford University Press

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3
Physical mapping with automatic capture of hybridization data
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Physical mapping with automatic capture of hybridization data

Hall, David ; Bhandarkar, Suchendra M. ; Arnold, Jonathan ; Jiang, Tongzhang

Bioinformatics, 2001-03, Vol.17 (3), p.205-213 [Periódico revisado por pares]

Oxford: Oxford University Press

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Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
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Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

Qin, Chen ; Schlemper, Jo ; Caballero, Jose ; Price, Anthony N. ; Hajnal, Joseph V. ; Rueckert, Daniel

IEEE transactions on medical imaging, 2019-01, Vol.38 (1), p.280-290

United States: IEEE

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Classification in the Presence of Label Noise: A Survey
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Classification in the Presence of Label Noise: A Survey

Frenay, Benoit ; Verleysen, Michel

IEEE transaction on neural networks and learning systems, 2014-05, Vol.25 (5), p.845-869

New York, NY: IEEE

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6
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
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A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

Schlemper, Jo ; Caballero, Jose ; Hajnal, Joseph V. ; Price, Anthony N. ; Rueckert, Daniel

IEEE transactions on medical imaging, 2018-02, Vol.37 (2), p.491-503

United States: IEEE

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7
Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss
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Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss

Yang, Qingsong ; Yan, Pingkun ; Zhang, Yanbo ; Yu, Hengyong ; Shi, Yongyi ; Mou, Xuanqin ; Kalra, Mannudeep K. ; Zhang, Yi ; Sun, Ling ; Wang, Ge

IEEE transactions on medical imaging, 2018-06, Vol.37 (6), p.1348-1357

United States: IEEE

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8
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

Bianchini, Monica ; Scarselli, Franco

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1553-1565

New York, NY: IEEE

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9
Sparse Representation Classifier Steered Discriminative Projection With Applications to Face Recognition
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Sparse Representation Classifier Steered Discriminative Projection With Applications to Face Recognition

Yang, Jian ; Chu, Delin ; Zhang, Lei ; Xu, Yong ; Yang, Jingyu

IEEE transaction on neural networks and learning systems, 2013-07, Vol.24 (7), p.1023-1035

New York, NY: IEEE

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A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology
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A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology

Kumar, Neeraj ; Verma, Ruchika ; Sharma, Sanuj ; Bhargava, Surabhi ; Vahadane, Abhishek ; Sethi, Amit

IEEE transactions on medical imaging, 2017-07, Vol.36 (7), p.1550-1560

United States: IEEE

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