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The effects of task activities and gaming scales on eye reading and visual search performance

Computers in human behavior, 2017-01, Vol.66, p.16-25

2017

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A light CNN for detecting COVID-19 from CT scans of the chest

Pattern recognition letters, 2020-12, Vol.140, p.95-100

2020

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Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition

Neural networks, 2012-08, Vol.32, p.323-332

2012

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Parallel implementation for 3D medical volume fuzzy segmentation

Pattern recognition letters, 2020-02, Vol.130, p.312-318

2020

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HBF49 feature set: A first unified baseline for online symbol recognition

Pattern recognition, 2013-01, Vol.46 (1), p.117-130

2013

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Combo loss: Handling input and output imbalance in multi-organ segmentation

Computerized medical imaging and graphics, 2019-07, Vol.75, p.24-33

2019

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Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review

Journal of biomedical informatics, 2016-02, Vol.59, p.49-75

2016

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Multi-column deep neural network for traffic sign classification

Neural networks, 2012-08, Vol.32, p.333-338

2012

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Brain tumor classification for MR images using transfer learning and fine-tuning

Computerized medical imaging and graphics, 2019-07, Vol.75, p.34-46

2019

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WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians

Computerized medical imaging and graphics, 2015-07, Vol.43, p.99-111

2015

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Does image normalization and intensity resolution impact texture classification?

Computerized medical imaging and graphics, 2020-04, Vol.81, p.101716-101716, Article 101716

2020

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Application of eye tracking in medicine: A survey, research issues and challenges

Computerized medical imaging and graphics, 2018-04, Vol.65, p.176-190

2018

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Real-time computer-generated integral imaging and 3D image calibration for augmented reality surgical navigation

Computerized medical imaging and graphics, 2015-03, Vol.40, p.147-159

2015

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GOOD: A global orthographic object descriptor for 3D object recognition and manipulation

Pattern recognition letters, 2016-11, Vol.83, p.312-320

2016

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Sparse network-based models for patient classification using fMRI

NeuroImage (Orlando, Fla.), 2015-01, Vol.105, p.493-506

2015

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An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals

Computerized medical imaging and graphics, 2021-01, Vol.87, p.101812-101812, Article 101812

2021

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Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology

Computerized medical imaging and graphics, 2017-11, Vol.61, p.2-13

2017

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Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks

Computerized medical imaging and graphics, 2019-06, Vol.74, p.25-36

2019

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The Delta Medial Axis: A fast and robust algorithm for filtered skeleton extraction

Pattern recognition, 2016-08, Vol.56, p.26-39

2016

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SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis

Computerized medical imaging and graphics, 2018-12, Vol.70, p.53-62

2018

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A coronary artery segmentation method based on multiscale analysis and region growing

Computerized medical imaging and graphics, 2016-03, Vol.48, p.49-61

2016

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Machine learning approaches to analyze histological images of tissues from radical prostatectomies

Computerized medical imaging and graphics, 2015-12, Vol.46 (Pt 2), p.197-208

2015

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A spectral graph wavelet approach for nonrigid 3D shape retrieval

Pattern recognition letters, 2016-11, Vol.83, p.339-348

2016

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Patch-based system for Classification of Breast Histology images using deep learning

Computerized medical imaging and graphics, 2019-01, Vol.71, p.90-103

2019

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A methodological approach to the classification of dermoscopy images

Computerized medical imaging and graphics, 2007-09, Vol.31 (6), p.362-373

2007

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The effects of task activities and gaming scales on eye reading and visual search performance

A light CNN for detecting COVID-19 from CT scans of the chest

Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition

Parallel implementation for 3D medical volume fuzzy segmentation

HBF49 feature set: A first unified baseline for online symbol recognition

Combo loss: Handling input and output imbalance in multi-organ segmentation

Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review

Multi-column deep neural network for traffic sign classification

Brain tumor classification for MR images using transfer learning and fine-tuning

WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians

Does image normalization and intensity resolution impact texture classification?

Application of eye tracking in medicine: A survey, research issues and challenges

Real-time computer-generated integral imaging and 3D image calibration for augmented reality surgical navigation

GOOD: A global orthographic object descriptor for 3D object recognition and manipulation

Sparse network-based models for patient classification using fMRI

An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals

Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology

Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks

The Delta Medial Axis: A fast and robust algorithm for filtered skeleton extraction

SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis

A coronary artery segmentation method based on multiscale analysis and region growing

Machine learning approaches to analyze histological images of tissues from radical prostatectomies

A spectral graph wavelet approach for nonrigid 3D shape retrieval

Patch-based system for Classification of Breast Histology images using deep learning

A methodological approach to the classification of dermoscopy images

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