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Artificial intelligence CT screening model for thyroid-associated ophthalmopathy and tests under clinical conditions

International journal for computer assisted radiology and surgery, 2021-02, Vol.16 (2), p.323-330

2021

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Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification

International journal for computer assisted radiology and surgery, 2021-02, Vol.16 (2), p.241-251

2021

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Deep learning-based detection of motion artifacts in probe-based confocal laser endomicroscopy images

International journal for computer assisted radiology and surgery, 2019-01, Vol.14 (1), p.31-42

2019

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Active learning using deep Bayesian networks for surgical workflow analysis

International journal for computer assisted radiology and surgery, 2019-06, Vol.14 (6), p.1079-1087

2019

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Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network

International journal for computer assisted radiology and surgery, 2021-11, Vol.16 (11), p.1855-1864

2021

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Computer-assisted liver graft steatosis assessment via learning-based texture analysis

International journal for computer assisted radiology and surgery, 2018-09, Vol.13 (9), p.1357-1367

2018

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Deep learning-based anatomical site classification for upper gastrointestinal endoscopy

International journal for computer assisted radiology and surgery, 2020-07, Vol.15 (7), p.1085-1094

2020

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Automated screening of computed tomography using weakly supervised anomaly detection

International journal for computer assisted radiology and surgery, 2023-11, Vol.18 (11), p.2001-2012

2023

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Artificial intelligence in patient-specific hand surgery: a scoping review of literature

International journal for computer assisted radiology and surgery, 2023-08, Vol.18 (8), p.1393-1403

2023

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Comparison of radiomics models and dual-energy material decomposition to decipher abdominal lymphoma in contrast-enhanced CT

International journal for computer assisted radiology and surgery, 2023-10, Vol.18 (10), p.1829-1839

2023

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Changes in software as a medical device based on artificial intelligence technologies

International journal for computer assisted radiology and surgery, 2022, Vol.17 (10), p.1969-1977

2022

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Artificial intelligence-aided lytic spinal bone metastasis classification on CT scans

International journal for computer assisted radiology and surgery, 2023-10, Vol.18 (10), p.1867-1874

2023

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Leveraging RSF and PET images for prognosis of multiple myeloma at diagnosis

International journal for computer assisted radiology and surgery, 2020-01, Vol.15 (1), p.129-139

2020

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Random forest classifiers aid in the detection of incidental osteoblastic osseous metastases in DEXA studies

International journal for computer assisted radiology and surgery, 2019-05, Vol.14 (5), p.903-909

2019

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Real-time automatic tumor segmentation for ultrasound-guided breast-conserving surgery navigation

International journal for computer assisted radiology and surgery, 2022, Vol.17 (9), p.1663-1672

2022

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Automatic cortical target point localisation in MRI for transcranial magnetic stimulation via a multi-resolution convolutional neural network

International journal for computer assisted radiology and surgery, 2021-07, Vol.16 (7), p.1077-1087

2021

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Explaining a model predicting quality of surgical practice: a first presentation to and review by clinical experts

International journal for computer assisted radiology and surgery, 2021-11, Vol.16 (11), p.2009-2019

2021

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Development and validation of a meta-learning-based multi-modal deep learning algorithm for detection of peritoneal metastasis

International journal for computer assisted radiology and surgery, 2022, Vol.17 (10), p.1845-1853

2022

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PassFlow: a multimodal workflow for predicting deep brain stimulation outcomes

International journal for computer assisted radiology and surgery, 2021-08, Vol.16 (8), p.1361-1370

2021

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A machine learning model for non-invasive detection of atherosclerotic coronary artery aneurysm

International journal for computer assisted radiology and surgery, 2022, Vol.17 (12), p.2221-2229

2022

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Intraoral radiograph anatomical region classification using neural networks

International journal for computer assisted radiology and surgery, 2021-03, Vol.16 (3), p.447-455

2021

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Surgical skills: Can learning curves be computed from recordings of surgical activities?

International journal for computer assisted radiology and surgery, 2018-05, Vol.13 (5), p.629-636

2018

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Traditional machine learning for limited angle tomography

International journal for computer assisted radiology and surgery, 2019-01, Vol.14 (1), p.11-19

2019

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Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data

International journal for computer assisted radiology and surgery, 2019-04, Vol.14 (4), p.587-599

2019

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Artificial intelligence CT screening model for thyroid-associated ophthalmopathy and tests under clinical conditions

Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification

Deep learning-based detection of motion artifacts in probe-based confocal laser endomicroscopy images

Active learning using deep Bayesian networks for surgical workflow analysis

Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network

Computer-assisted liver graft steatosis assessment via learning-based texture analysis

Deep learning-based anatomical site classification for upper gastrointestinal endoscopy

Automated screening of computed tomography using weakly supervised anomaly detection

Artificial intelligence in patient-specific hand surgery: a scoping review of literature

Comparison of radiomics models and dual-energy material decomposition to decipher abdominal lymphoma in contrast-enhanced CT

Changes in software as a medical device based on artificial intelligence technologies

Artificial intelligence-aided lytic spinal bone metastasis classification on CT scans

Leveraging RSF and PET images for prognosis of multiple myeloma at diagnosis

Random forest classifiers aid in the detection of incidental osteoblastic osseous metastases in DEXA studies

Real-time automatic tumor segmentation for ultrasound-guided breast-conserving surgery navigation

Automatic cortical target point localisation in MRI for transcranial magnetic stimulation via a multi-resolution convolutional neural network

Explaining a model predicting quality of surgical practice: a first presentation to and review by clinical experts

Development and validation of a meta-learning-based multi-modal deep learning algorithm for detection of peritoneal metastasis

PassFlow: a multimodal workflow for predicting deep brain stimulation outcomes

A machine learning model for non-invasive detection of atherosclerotic coronary artery aneurysm

Intraoral radiograph anatomical region classification using neural networks

Surgical skills: Can learning curves be computed from recordings of surgical activities?

Traditional machine learning for limited angle tomography

Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data

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