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Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels

Medical physics (Lancaster), 2017-03, Vol.44 (3), p.1050-1062

2017

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Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification

IEEE access, 2021-01, Vol.9, p.72970-72979

2021

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Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening

IEEE access, 2018, Vol.6, p.77796-77806

2018

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Predicting Malignant Nodules from Screening CT Scans

Journal of thoracic oncology, 2016-12, Vol.11 (12), p.2120-2128

2016

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Radiomics: the process and the challenges

Magnetic resonance imaging, 2012-11, Vol.30 (9), p.1234-1248

2012

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Reproducibility and Prognosis of Quantitative Features Extracted from CT Images

Translational oncology, 2014-02, Vol.7 (1), p.72-87

2014

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Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms

IEEE transactions on intelligent transportation systems, 2010-03, Vol.11 (1), p.206-224

2010

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Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group prediction

Journal of magnetic resonance imaging, 2017-07, Vol.46 (1), p.115-123

2017

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Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness

Scientific reports, 2019-03, Vol.9 (1), p.4500, Article 4500

2019

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Challenges for the Repeatability of Deep Learning Models

IEEE access, 2020, Vol.8, p.211860-211868

2020

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Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach

Pattern recognition, 2013-03, Vol.46 (3), p.692-702

2013

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Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival Among Patients with Lung Adenocarcinoma

Tomography (Ann Arbor), 2016-12, Vol.2 (4), p.388-395

2016

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A Review of Automated Pain Assessment in Infants: Features, Classification Tasks, and Databases

IEEE reviews in biomedical engineering, 2018, Vol.11, p.77-96

2018

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Test–Retest Reproducibility Analysis of Lung CT Image Features

Journal of digital imaging, 2014-12, Vol.27 (6), p.805-823

2014

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Achieving Multisite Generalization for CNN-Based Disease Diagnosis Models by Mitigating Shortcut Learning

IEEE access, 2022, Vol.10, p.78726-78738

2022

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Anonymized Identity Tracking: Privacy Preserving Facial Encoding

2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS), 2024, p.89-93

2024

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Quantitative imaging biomarkers: A review of statistical methods for computer algorithm comparisons

Statistical methods in medical research, 2015-02, Vol.24 (1), p.68-106

2015

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A scalable framework for cluster ensembles

Pattern recognition, 2009-05, Vol.42 (5), p.676-688

2009

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Video-based 3D reconstruction, laparoscope localization and deformation recovery for abdominal minimally invasive surgery: a survey

The international journal of medical robotics + computer assisted surgery, 2016-06, Vol.12 (2), p.158-178

2016

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Convergence of the Single-Pass and Online Fuzzy C-Means Algorithms

IEEE transactions on fuzzy systems, 2011-08, Vol.19 (4), p.792-794

2011

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Ensembles of Convolutional Neural Networks for Survival Time Estimation of High-Grade Glioma Patients from Multimodal MRI

Diagnostics (Basel), 2022-01, Vol.12 (2), p.345

2022

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Predicting malignant nodules by fusing deep features with classical radiomics features

Journal of medical imaging (Bellingham, Wash.), 2018-01, Vol.5 (1), p.011021-011021

2018

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S1559 Reduction of Video Capsule Endoscopy Reading Times Using Artificial Intelligence

The American journal of gastroenterology, 2022-10, Vol.117 (10S), p.e1114-e1114

2022

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Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features

IEEE access, 2014, Vol.2, p.1418-1426

2014

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A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study

Journal of digital imaging, 2016-08, Vol.29 (4), p.476-487

2016

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Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels

Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification

Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening

Predicting Malignant Nodules from Screening CT Scans

Radiomics: the process and the challenges

Reproducibility and Prognosis of Quantitative Features Extracted from CT Images

Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms

Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group prediction

Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness

Challenges for the Repeatability of Deep Learning Models

Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach

Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival Among Patients with Lung Adenocarcinoma

A Review of Automated Pain Assessment in Infants: Features, Classification Tasks, and Databases

Test–Retest Reproducibility Analysis of Lung CT Image Features

Achieving Multisite Generalization for CNN-Based Disease Diagnosis Models by Mitigating Shortcut Learning

Anonymized Identity Tracking: Privacy Preserving Facial Encoding

Quantitative imaging biomarkers: A review of statistical methods for computer algorithm comparisons

A scalable framework for cluster ensembles

Video-based 3D reconstruction, laparoscope localization and deformation recovery for abdominal minimally invasive surgery: a survey

Convergence of the Single-Pass and Online Fuzzy C-Means Algorithms

Ensembles of Convolutional Neural Networks for Survival Time Estimation of High-Grade Glioma Patients from Multimodal MRI

Predicting malignant nodules by fusing deep features with classical radiomics features

S1559 Reduction of Video Capsule Endoscopy Reading Times Using Artificial Intelligence

Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features

A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study

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