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Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI

International journal for computer assisted radiology and surgery, 2017-02, Vol.12 (2), p.183-203

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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Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks

International journal for computer assisted radiology and surgery, 2017-11, Vol.12 (11), p.1895-1910

2017

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Multicenter study on the use of patient-specific CAD/CAM reconstruction plates for mandibular reconstruction

International journal for computer assisted radiology and surgery, 2015-12, Vol.10 (12), p.2035-2051

2015

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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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Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images

International journal for computer assisted radiology and surgery, 2020-09, Vol.15 (9), p.1491-1500

2020

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Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching

International journal for computer assisted radiology and surgery, 2018-10, Vol.13 (10), p.1525-1538

2018

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Tissue classification of oncologic esophageal resectates based on hyperspectral data

International journal for computer assisted radiology and surgery, 2019-10, Vol.14 (10), p.1651-1661

2019

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Planning of skull reconstruction based on a statistical shape model combined with geometric morphometrics

International journal for computer assisted radiology and surgery, 2018-04, Vol.13 (4), p.519-529

2018

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Development and internal validation of an aneurysm rupture probability model based on patient characteristics and aneurysm location, morphology, and hemodynamics

International journal for computer assisted radiology and surgery, 2018-11, Vol.13 (11), p.1767-1779

2018

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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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Cingi Steps for preoperative computer-assisted image editing before reduction rhinoplasty

International forum of allergy & rhinology, 2014-04, Vol.4 (4), p.329-332

2014

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Artificial intelligence in detection and segmentation of internal auditory canal and its nerves using deep learning techniques

International journal for computer assisted radiology and surgery, 2020-11, Vol.15 (11), p.1859-1867

2020

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Reliability and correlation analysis of computed methods to convert conventional 2D radiological hindfoot measurements to a 3D setting using weightbearing CT

International journal for computer assisted radiology and surgery, 2018-12, Vol.13 (12), p.1999-2008

2018

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Normative ranges of nasal airflow variables in healthy adults

International journal for computer assisted radiology and surgery, 2020-01, Vol.15 (1), p.87-98

2020

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Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications

International journal for computer assisted radiology and surgery, 2018-11, Vol.13 (11), p.1697-1706

2018

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Value of the surgeon’s sightline on hologram registration and targeting in mixed reality

International journal for computer assisted radiology and surgery, 2020-12, Vol.15 (12), p.2027-2039

2020

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Automatic thalamus and hippocampus segmentation from MP2RAGE: comparison of publicly available methods and implications for DTI quantification

International journal for computer assisted radiology and surgery, 2016-11, Vol.11 (11), p.1979-1991

2016

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Automatic image registration on intraoperative CBCT compared to Surface Matching registration on preoperative CT for spinal navigation: accuracy and workflow

International journal for computer assisted radiology and surgery, 2024, Vol.19 (4), p.665-675

2024

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Augmented reality patient-specific reconstruction plate design for pelvic and acetabular fracture surgery

International journal for computer assisted radiology and surgery, 2013-03, Vol.8 (2), p.169-179

2013

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Virtual septoplasty: a method to predict surgical outcomes for patients with nasal airway obstruction

International journal for computer assisted radiology and surgery, 2020-04, Vol.15 (4), p.725-735

2020

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Corticospinal tract modeling for neurosurgical planning by tracking through regions of peritumoral edema and crossing fibers using two-tensor unscented Kalman filter tractography

International journal for computer assisted radiology and surgery, 2016-08, Vol.11 (8), p.1475-1486

2016

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A study of MRI-based radiomics biomarkers for sacroiliitis and spondyloarthritis

International journal for computer assisted radiology and surgery, 2020-10, Vol.15 (10), p.1737-1748

2020

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Edge map analysis in chest X-rays for automatic pulmonary abnormality screening

International journal for computer assisted radiology and surgery, 2016-09, Vol.11 (9), p.1637-1646

2016

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Semiautomatic neck curve reconstruction for intracranial aneurysm rupture risk assessment based on morphological parameters

International journal for computer assisted radiology and surgery, 2018-11, Vol.13 (11), p.1781-1793

2018

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Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI

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

Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks

Multicenter study on the use of patient-specific CAD/CAM reconstruction plates for mandibular reconstruction

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

Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images

Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching

Tissue classification of oncologic esophageal resectates based on hyperspectral data

Planning of skull reconstruction based on a statistical shape model combined with geometric morphometrics

Development and internal validation of an aneurysm rupture probability model based on patient characteristics and aneurysm location, morphology, and hemodynamics

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

Cingi Steps for preoperative computer-assisted image editing before reduction rhinoplasty

Artificial intelligence in detection and segmentation of internal auditory canal and its nerves using deep learning techniques

Reliability and correlation analysis of computed methods to convert conventional 2D radiological hindfoot measurements to a 3D setting using weightbearing CT

Normative ranges of nasal airflow variables in healthy adults

Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications

Value of the surgeon’s sightline on hologram registration and targeting in mixed reality

Automatic thalamus and hippocampus segmentation from MP2RAGE: comparison of publicly available methods and implications for DTI quantification

Automatic image registration on intraoperative CBCT compared to Surface Matching registration on preoperative CT for spinal navigation: accuracy and workflow

Augmented reality patient-specific reconstruction plate design for pelvic and acetabular fracture surgery

Virtual septoplasty: a method to predict surgical outcomes for patients with nasal airway obstruction

Corticospinal tract modeling for neurosurgical planning by tracking through regions of peritumoral edema and crossing fibers using two-tensor unscented Kalman filter tractography

A study of MRI-based radiomics biomarkers for sacroiliitis and spondyloarthritis

Edge map analysis in chest X-rays for automatic pulmonary abnormality screening

Semiautomatic neck curve reconstruction for intracranial aneurysm rupture risk assessment based on morphological parameters

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