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Deep Learning Electronic Cleansing for Single- and Dual-Energy CT Colonography

Radiographics, 2018-11, Vol.38 (7), p.2034-2050

2018

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Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT

Medical image analysis, 2021-10, Vol.73, p.102159-102159, Article 102159

2021

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AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging

Medical physics (Lancaster), 2023-02, Vol.50 (2), p.e1-e24

2023

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Self-Supervised Adversarial Learning with a Limited Dataset for Electronic Cleansing in Computed Tomographic Colonography: A Preliminary Feasibility Study

Cancers, 2022-08, Vol.14 (17), p.4125

2022

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U-survival for prognostic prediction of disease progression and mortality of patients with COVID-19

Scientific reports, 2021-04, Vol.11 (1), p.9263-9263, Article 9263

2021

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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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Bayesian uncertainty estimation for detection of long-tailed and unseen conditions in medical images

Journal of medical imaging (Bellingham, Wash.), 2023-09, Vol.10 (5), p.054501-054501

2023

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Generative multi-adversarial network for striking the right balance in abdominal image segmentation

International journal for computer assisted radiology and surgery, 2020-11, Vol.15 (11), p.1847-1858

2020

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Abdominal Imaging. Computational and Clinical Applications: 6th International Workshop, ABDI 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 14, 2014

1st edition, 2015

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Diagnostic accuracy of laxative-free computed tomographic colonography for detection of adenomatous polyps in asymptomatic adults: a prospective evaluation

Annals of internal medicine, 2012-05, Vol.156 (10), p.692

2012

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CADe Prompts and Observer Performance

Academic radiology, 2010-08, Vol.17 (8), p.945-947

Näppi, Janne J., PhD

2010

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CADe Prompts and Observer Performance: A Game of Confidence

Academic radiology, 2010-08, Vol.17 (8), p.945-947

Näppi, Janne J.

2010

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Transfer-learning deep convolutional neural network for classification of polyp candidates on CT colonography

Medical Imaging and Information Sciences, 2017/06/30, Vol.34(2), pp.80-86

2017

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Sources of false positives in computer-assisted CT colonography

Abdominal imaging, 2011-04, Vol.36 (2), p.153-164

2011

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Computerized detection of colorectal masses in CT colonography based on fuzzy merging and wall-thickening analysis

Medical physics (Lancaster), 2004-04, Vol.31 (4), p.860-872

2004

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Volumetric detection of colorectal lesions for noncathartic dual-energy computed tomographic colonography

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012-01, Vol.2012, p.3740-3743

2012

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Information-Preserving Pseudo-Enhancement Correction for Non-Cathartic Low-Dose Dual-Energy CT Colonography

Abdominal Imaging. Computational and Clinical Applications, 2014, p.159-168

2014

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Application of Pseudo-enhancement Correction to Virtual Monochromatic CT Colonography

Abdominal Imaging. Computational and Clinical Applications, 2014, p.169-178

2014

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A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans

Abdominal Imaging. Computational and Clinical Applications, p.103-113

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Metastatic Liver Tumor Segmentation Using Texture-Based Omni-Directional Deformable Surface Models

Abdominal Imaging. Computational and Clinical Applications, p.74-83

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Computer-Aided Detection of Colorectal Lesions with Super-Resolution CT Colonography: Pilot Evaluation

Abdominal Imaging. Computation and Clinical Applications, p.73-80

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Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing

BJR artificial intelligence, 2024-03, Vol.1 (1), p.ubae003-ubae003

2024

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AI and machine learning in medical imaging: key points from development to translation

BJR artificial intelligence, 2024-01, Vol.1 (1), p.ubae006-ubae006

2024

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Automatic Assessment of Image Informativeness in Colonoscopy

Abdominal Imaging. Computational and Clinical Applications, p.151-158

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Abdominal Imaging. Computational and Clinical Applications: 6th International Workshop, ABDI 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 14, 2014

2014

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Deep Learning Electronic Cleansing for Single- and Dual-Energy CT Colonography

Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT

AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging

Self-Supervised Adversarial Learning with a Limited Dataset for Electronic Cleansing in Computed Tomographic Colonography: A Preliminary Feasibility Study

U-survival for prognostic prediction of disease progression and mortality of patients with COVID-19

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

Bayesian uncertainty estimation for detection of long-tailed and unseen conditions in medical images

Generative multi-adversarial network for striking the right balance in abdominal image segmentation

Abdominal Imaging. Computational and Clinical Applications: 6th International Workshop, ABDI 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 14, 2014

Diagnostic accuracy of laxative-free computed tomographic colonography for detection of adenomatous polyps in asymptomatic adults: a prospective evaluation

CADe Prompts and Observer Performance

CADe Prompts and Observer Performance: A Game of Confidence

Transfer-learning deep convolutional neural network for classification of polyp candidates on CT colonography

Sources of false positives in computer-assisted CT colonography

Computerized detection of colorectal masses in CT colonography based on fuzzy merging and wall-thickening analysis

Volumetric detection of colorectal lesions for noncathartic dual-energy computed tomographic colonography

Information-Preserving Pseudo-Enhancement Correction for Non-Cathartic Low-Dose Dual-Energy CT Colonography

Application of Pseudo-enhancement Correction to Virtual Monochromatic CT Colonography

A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans

Metastatic Liver Tumor Segmentation Using Texture-Based Omni-Directional Deformable Surface Models

Computer-Aided Detection of Colorectal Lesions with Super-Resolution CT Colonography: Pilot Evaluation

Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing

AI and machine learning in medical imaging: key points from development to translation

Automatic Assessment of Image Informativeness in Colonoscopy

Abdominal Imaging. Computational and Clinical Applications: 6th International Workshop, ABDI 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 14, 2014

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