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Liver segmentation using superpixel-based graph cuts and restricted regions of shape constrains

2015 IEEE International Conference on Image Processing (ICIP), 2015, p.3368-3371

2015

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CE-Net: Context Encoder Network for 2D Medical Image Segmentation

IEEE transactions on medical imaging, 2019-10, Vol.38 (10), p.2281-2292

2019

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IEEE_Xplore

Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets

IEEE transactions on medical imaging, 2020-08, Vol.39 (8), p.2688-2700

2020

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IEEE_Xplore

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

IEEE transactions on medical imaging, 2020-08, Vol.39 (8), p.2626-2637

2020

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IEEE_Xplore

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

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

2018

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MoDL: Model-Based Deep Learning Architecture for Inverse Problems

IEEE transactions on medical imaging, 2019-02, Vol.38 (2), p.394-405

2019

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IEEE_Xplore

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

IEEE transactions on medical imaging, 2015-10, Vol.34 (10), p.1993-2024

2015

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Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

IEEE transactions on medical imaging, 2017-12, Vol.36 (12), p.2524-2535

2017

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IEEE_Xplore

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

IEEE transactions on medical imaging, 2020-08, Vol.39 (8), p.2653-2663

2020

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IEEE_Xplore

Learned Primal-Dual Reconstruction

IEEE transactions on medical imaging, 2018-06, Vol.37 (6), p.1322-1332

2018

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IEEE_Xplore

lidR: An R package for analysis of Airborne Laser Scanning (ALS) data

Remote sensing of environment, 2020-12, Vol.251, p.112061, Article 112061

2020

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Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks

IEEE transactions on medical imaging, 2020-02, Vol.39 (2), p.499-513

2020

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IEEE_Xplore

Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images

IEEE transactions on medical imaging, 2020-05, Vol.39 (5), p.1316-1325

2020

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IEEE_Xplore

Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning

IEEE transactions on medical imaging, 2020-08, Vol.39 (8), p.2584-2594

2020

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IEEE_Xplore

The Collection 6 MODIS burned area mapping algorithm and product

Remote sensing of environment, 2018-11, Vol.217, p.72-85

2018

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k -Space Deep Learning for Accelerated MRI

IEEE transactions on medical imaging, 2020-02, Vol.39 (2), p.377-386

2020

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Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

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

2019

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IEEE_Xplore

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

IEEE transactions on medical imaging, 2018-02, Vol.37 (2), p.384-395

2018

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

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

2018

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IEEE_Xplore

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

IEEE transactions on medical imaging, 2018-12, Vol.37 (12), p.2663-2674

2018

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IEEE_Xplore

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

IEEE transactions on medical imaging, 2019-11, Vol.38 (11), p.2556-2568

2019

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IEEE_Xplore

Center-based 3D Object Detection and Tracking

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.11779-11788

2021

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IEEE_Xplore

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia

IEEE transactions on medical imaging, 2020-08, Vol.39 (8), p.2595-2605

2020

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IEEE_Xplore

Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks

IEEE transactions on medical imaging, 2018-08, Vol.37 (8), p.1822-1834

2018

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IEEE_Xplore

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Liver segmentation using superpixel-based graph cuts and restricted regions of shape constrains

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

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

MoDL: Model-Based Deep Learning Architecture for Inverse Problems

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

Learned Primal-Dual Reconstruction

lidR: An R package for analysis of Airborne Laser Scanning (ALS) data

Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks

Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images

Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning

The Collection 6 MODIS burned area mapping algorithm and product

k -Space Deep Learning for Accelerated MRI

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

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

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Center-based 3D Object Detection and Tracking

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia

Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks

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