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Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016, Vol.9901, p.415-423

2016

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Step-wise integration of deep class-specific learning for dermoscopic image segmentation

Pattern recognition, 2019-01, Vol.85, p.78-89

2019

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Computer vision-based concrete crack detection using U-net fully convolutional networks

Automation in construction, 2019-08, Vol.104, p.129-139

2019

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The Importance of Skip Connections in Biomedical Image Segmentation

Deep Learning and Data Labeling for Medical Applications, p.179-187

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Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks

ISPRS journal of photogrammetry and remote sensing, 2019-04, Vol.150, p.59-69

2019

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Recent progress in semantic image segmentation

The Artificial intelligence review, 2019-08, Vol.52 (2), p.1089-1106

2019

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Going Deeper With Contextual CNN for Hyperspectral Image Classification

IEEE transactions on image processing, 2017-10, Vol.26 (10), p.4843-4855

2017

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Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland mapping using images from small unmanned aircraft system

GIScience and remote sensing, 2018-03, Vol.55 (2), p.243-264

2018

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Image Splicing Localization using a Multi-task Fully Convolutional Network (MFCN)

Journal of visual communication and image representation, 2018-02, Vol.51, p.201-209

2018

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A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (10), p.1662

2020

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A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem

ISPRS journal of photogrammetry and remote sensing, 2019-05, Vol.151, p.223-236

2019

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A deep learning framework for predicting slab transverse crack using multivariate LSTM-FCN in continuous casting

Expert systems with applications, 2025-01, Vol.260, p.125413, Article 125413

2025

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Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic Segmentation of High-Resolution Aerial Images

IEEE transactions on geoscience and remote sensing, 2020-11, Vol.58 (11), p.7557-7569

2020

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Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images

Applied soft computing, 2019-12, Vol.85, p.105765, Article 105765

2019

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Detection of a New Large Free Core Nutation Phase Jump

Sensors (Basel, Switzerland), 2022-08, Vol.22 (16), p.5960

2022

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Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation

Medical physics (Lancaster), 2019-04, Vol.46 (4), p.1707-1718

2019

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Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method

Medical physics (Lancaster), 2017-10, Vol.44 (10), p.5221-5233

2017

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Toward Automatic Building Footprint Delineation From Aerial Images Using CNN and Regularization

IEEE transactions on geoscience and remote sensing, 2020-03, Vol.58 (3), p.2178-2189

2020

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SOC Estimation of Li-ion Batteries With Learning Rate-Optimized Deep Fully Convolutional Network

IEEE transactions on power electronics, 2021-07, Vol.36 (7), p.7349-7353

2021

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An improved performance of RetinaNet model for hand-gun detection in custom dataset and real time surveillance video

Nauchno-tekhnicheskiĭ vestnik informat͡s︡ionnykh tekhnologiĭ, mekhaniki i optiki, 2024-02, Vol.24 (1), p.51-61

2024

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FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2020-08, Vol.58 (8), p.5612-5626

2020

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ReDMark: Framework for residual diffusion watermarking based on deep networks

Expert systems with applications, 2020-05, Vol.146, p.113157, Article 113157

2020

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Fully Convolutional Networks for Semantic Segmentation of Very High Resolution Remotely Sensed Images Combined With DSM

IEEE geoscience and remote sensing letters, 2018-03, Vol.15 (3), p.474-478

2018

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Deep Learning Enabled Strain Mapping of Single-Atom Defects in Two-Dimensional Transition Metal Dichalcogenides with Sub-Picometer Precision

Nano letters, 2020-05, Vol.20 (5), p.3369-3377

2020

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DPCC-Net: Dual-perspective change contextual network for change detection in high-resolution remote sensing images

International journal of applied earth observation and geoinformation, 2022-08, Vol.112, p.102940, Article 102940

2022

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Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

Step-wise integration of deep class-specific learning for dermoscopic image segmentation

Computer vision-based concrete crack detection using U-net fully convolutional networks

The Importance of Skip Connections in Biomedical Image Segmentation

Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks

Recent progress in semantic image segmentation

Going Deeper With Contextual CNN for Hyperspectral Image Classification

Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland mapping using images from small unmanned aircraft system

Image Splicing Localization using a Multi-task Fully Convolutional Network (MFCN)

A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem

A deep learning framework for predicting slab transverse crack using multivariate LSTM-FCN in continuous casting

Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic Segmentation of High-Resolution Aerial Images

Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images

Detection of a New Large Free Core Nutation Phase Jump

Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation

Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method

Toward Automatic Building Footprint Delineation From Aerial Images Using CNN and Regularization

SOC Estimation of Li-ion Batteries With Learning Rate-Optimized Deep Fully Convolutional Network

An improved performance of RetinaNet model for hand-gun detection in custom dataset and real time surveillance video

FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification

ReDMark: Framework for residual diffusion watermarking based on deep networks

Fully Convolutional Networks for Semantic Segmentation of Very High Resolution Remotely Sensed Images Combined With DSM

Deep Learning Enabled Strain Mapping of Single-Atom Defects in Two-Dimensional Transition Metal Dichalcogenides with Sub-Picometer Precision

DPCC-Net: Dual-perspective change contextual network for change detection in high-resolution remote sensing images

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