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Convolution

Enhanced convolutional neural network for plankton identification and enumeration

Kaichang Cheng, Xuemin Cheng, Yuqi Wang, Hongsheng Bi, Mark C. Benfield

published 10 Jul 2019

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Automatic assessment of the cardiomyocyte development stages from confocal microscopy images using deep convolutional networks

Pavel Škrabánek, Alexandra Zahradníková jr.

published 30 May 2019

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Gradually focused fine-grained sketch-based image retrieval

Ming Zhu, Chun Chen, Nian Wang, Jun Tang, Wenxia Bao

published 28 May 2019

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Multi-stage models for the failure of complex systems, cascading disasters, and the onset of disease

Anthony J. Webster

published 20 May 2019

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Large-area, high-resolution characterisation and classification of damage mechanisms in dual-phase steel using deep learning

Carl Kusche, Tom Reclik, Martina Freund, Talal Al-Samman, Ulrich Kerzel, Sandra Korte-Kerzel

published 08 May 2019

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Prediction of binding property of RNA-binding proteins using multi-sized filters and multi-modal deep convolutional neural network

Taesu Chung, Dongsup Kim

published 26 Apr 2019

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Weakly supervised lesion localization for age-related macular degeneration detection using optical coherence tomography images

Hyun-Lim Yang, Jong Jin Kim, Jong Ho Kim, Yong Koo Kang, Dong Ho Park, Han Sang Park, Hong Kyun Kim, Min-Soo Kim

published 05 Apr 2019

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Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module

Yun Jiang, Li Chen, Hai Zhang, Xiao Xiao

published 29 Mar 2019

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Statistical analysis of bitcoin during explosive behavior periods

José Antonio Núñez, Mario I. Contreras-Valdez, Carlos A. Franco-Ruiz

published 22 Mar 2019

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Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models

Mohammad Haft-Javaherian, Linjing Fang, Victorine Muse, Chris B. Schaffer, Nozomi Nishimura, Mert R. Sabuncu

published 13 Mar 2019

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3D Tune-In Toolkit: An open-source library for real-time binaural spatialisation

María Cuevas-Rodríguez, Lorenzo Picinali, Daniel González-Toledo, Carlos Garre, Ernesto de la Rubia-Cuestas, Luis Molina-Tanco, Arcadio Reyes-Lecuona

published 11 Mar 2019

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DeephESC 2.0: Deep Generative Multi Adversarial Networks for improving the classification of hESC

Rajkumar Theagarajan, Bir Bhanu

published 06 Mar 2019

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Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data

Christina Gsaxner, Peter M. Roth, Jürgen Wallner, Jan Egger

published 05 Mar 2019

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