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Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets

International journal for computer assisted radiology and surgery, 2017-03, Vol.12 (3), p.399-411

2017

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Automatic 3D liver location and segmentation via convolutional neural network and graph cut

International journal for computer assisted radiology and surgery, 2017-02, Vol.12 (2), p.171-182

2017

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3D printing based on imaging data: review of medical applications

International journal for computer assisted radiology and surgery, 2010-07, Vol.5 (4), p.335-341

2010

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Breast ultrasound image segmentation: a survey

International journal for computer assisted radiology and surgery, 2017-03, Vol.12 (3), p.493-507

2017

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Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images

International journal for computer assisted radiology and surgery, 2018-12, Vol.13 (12), p.1895-1903

2018

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Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network

International journal for computer assisted radiology and surgery, 2021-02, Vol.16 (2), p.197-206

2021

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Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration

International journal for computer assisted radiology and surgery, 2020-05, Vol.15 (5), p.759-769

2020

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Automatic data-driven real-time segmentation and recognition of surgical workflow

International journal for computer assisted radiology and surgery, 2016-06, Vol.11 (6), p.1081-1089

2016

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Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

International journal for computer assisted radiology and surgery, 2018-06, Vol.13 (6), p.925-933

2018

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Accuracy of computer-aided diagnosis based on narrow-band imaging endocytoscopy for diagnosing colorectal lesions: comparison with experts

International journal for computer assisted radiology and surgery, 2017-05, Vol.12 (5), p.757-766

2017

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Enabling machine learning in X-ray-based procedures via realistic simulation of image formation

International journal for computer assisted radiology and surgery, 2019-09, Vol.14 (9), p.1517-1528

2019

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Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays

International journal for computer assisted radiology and surgery, 2016-01, Vol.11 (1), p.99-106

2016

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3D/2D model-to-image registration by imitation learning for cardiac procedures

International journal for computer assisted radiology and surgery, 2018-08, Vol.13 (8), p.1141-1149

2018

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A review on lung boundary detection in chest X-rays

International journal for computer assisted radiology and surgery, 2019-04, Vol.14 (4), p.563-576

2019

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A practical marker-less image registration method for augmented reality oral and maxillofacial surgery

International journal for computer assisted radiology and surgery, 2019-05, Vol.14 (5), p.763-773

2019

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SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

International journal for computer assisted radiology and surgery, 2020-09, Vol.15 (9), p.1427-1436

2020

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Speed-of-sound imaging using diverging waves

International journal for computer assisted radiology and surgery, 2021-07, Vol.16 (7), p.1201-1211

2021

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Improved segmentation of low-contrast lesions using sigmoid edge model

International journal for computer assisted radiology and surgery, 2016-07, Vol.11 (7), p.1267-1283

2016

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Generation of annotated multimodal ground truth datasets for abdominal medical image registration

International journal for computer assisted radiology and surgery, 2021-08, Vol.16 (8), p.1277-1285

2021

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Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks

International journal for computer assisted radiology and surgery, 2020-08, Vol.15 (8), p.1303-1312

2020

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MRI-based radiomic feature analysis of end-stage liver disease for severity stratification

International journal for computer assisted radiology and surgery, 2021-03, Vol.16 (3), p.457-466

2021

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Computer-aided diagnosis of cirrhosis and hepatocellular carcinoma using multi-phase abdomen CT

International journal for computer assisted radiology and surgery, 2019-08, Vol.14 (8), p.1341-1352

2019

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A knowledge-based algorithm for automatic detection of cephalometric landmarks on CBCT images

International journal for computer assisted radiology and surgery, 2015-11, Vol.10 (11), p.1737-1752

2015

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Unsupervised pathology detection in medical images using conditional variational autoencoders

International journal for computer assisted radiology and surgery, 2019-03, Vol.14 (3), p.451-461

2019

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Real-time surgical tool tracking and pose estimation using a hybrid cylindrical marker

International journal for computer assisted radiology and surgery, 2017-06, Vol.12 (6), p.921-930

2017

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Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets

Automatic 3D liver location and segmentation via convolutional neural network and graph cut

3D printing based on imaging data: review of medical applications

Breast ultrasound image segmentation: a survey

Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images

Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network

Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration

Automatic data-driven real-time segmentation and recognition of surgical workflow

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

Accuracy of computer-aided diagnosis based on narrow-band imaging endocytoscopy for diagnosing colorectal lesions: comparison with experts

Enabling machine learning in X-ray-based procedures via realistic simulation of image formation

Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays

3D/2D model-to-image registration by imitation learning for cardiac procedures

A review on lung boundary detection in chest X-rays

A practical marker-less image registration method for augmented reality oral and maxillofacial surgery

SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

Speed-of-sound imaging using diverging waves

Improved segmentation of low-contrast lesions using sigmoid edge model

Generation of annotated multimodal ground truth datasets for abdominal medical image registration

Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks

MRI-based radiomic feature analysis of end-stage liver disease for severity stratification

Computer-aided diagnosis of cirrhosis and hepatocellular carcinoma using multi-phase abdomen CT

A knowledge-based algorithm for automatic detection of cephalometric landmarks on CBCT images

Unsupervised pathology detection in medical images using conditional variational autoencoders

Real-time surgical tool tracking and pose estimation using a hybrid cylindrical marker

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