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Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks

International journal for computer assisted radiology and surgery, 2019-09, Vol.14 (9), p.1611-1617

2019

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Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs

International journal for computer assisted radiology and surgery, 2021-03, Vol.16 (3), p.423-434

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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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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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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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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Endoscopic sleeve gastroplasty: stomach location and task classification for evaluation using artificial intelligence

International journal for computer assisted radiology and surgery, 2024-04, Vol.19 (4), p.635-644

2024

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Keyword-augmented and semi-automatic generation of FESS reports: a proof-of-concept study

International journal for computer assisted radiology and surgery, 2023-05, Vol.18 (5), p.961-968

2023

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Association of AI quantified COVID-19 chest CT and patient outcome

International journal for computer assisted radiology and surgery, 2021-03, Vol.16 (3), p.435-445

2021

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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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A generative flow-based model for volumetric data augmentation in 3D deep learning for computed tomographic colonography

International journal for computer assisted radiology and surgery, 2021-01, Vol.16 (1), p.81-89

2021

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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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Development and validation of a deep learning-based laparoscopic system for improving video quality

International journal for computer assisted radiology and surgery, 2023-02, Vol.18 (2), p.257-268

2023

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Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria

International journal for computer assisted radiology and surgery, 2022-02, Vol.17 (2), p.229-237

2022

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Capturing fine-grained details for video-based automation of suturing skills assessment

International journal for computer assisted radiology and surgery, 2023-03, Vol.18 (3), p.545-552

2023

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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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Force classification during robotic interventions through simulation-trained neural networks

International journal for computer assisted radiology and surgery, 2019-09, Vol.14 (9), p.1601-1610

2019

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ThemaImage Processing And Computer Vision

Zeitschrift / SerieInternational Journal For Computer Assisted Radiology And Surgery

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Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks

Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs

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

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

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

Active learning using deep Bayesian networks for surgical workflow analysis

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

Endoscopic sleeve gastroplasty: stomach location and task classification for evaluation using artificial intelligence

Keyword-augmented and semi-automatic generation of FESS reports: a proof-of-concept study

Association of AI quantified COVID-19 chest CT and patient outcome

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

A generative flow-based model for volumetric data augmentation in 3D deep learning for computed tomographic colonography

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

Development and validation of a deep learning-based laparoscopic system for improving video quality

Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria

Capturing fine-grained details for video-based automation of suturing skills assessment

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

Force classification during robotic interventions through simulation-trained neural networks

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