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CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images

NPJ digital medicine, 2021-02, Vol.4 (1), p.29-29, Article 29

2021

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The impact of the variation of imaging parameters on the robustness of Computed Tomography radiomic features: A review

Computers in biology and medicine, 2021-06, Vol.133, p.104400-104400, Article 104400

2021

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Predicting severe radiation-induced oral mucositis in head and neck cancer patients using integrated baseline CT radiomic, dosimetry, and clinical features: A machine learning approach

Heliyon, 2024-02, Vol.10 (3), p.e24866-e24866, Article e24866

2024

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Neural Network Performance Evaluation of Simulated and Genuine Head-and-Neck Computed Tomography Images to Reduce Metal Artifacts

Journal of medical signals and sensors, 2022-10, Vol.12 (4), p.269-277

2022

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Investigating dose homogeneity in radiotherapy of oral cancers in the presence of a dental implant system: an in vitro phantom study

International journal of implant dentistry, 2021-09, Vol.7 (1), p.1-8, Article 90

2021

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Evaluation of deformable image registration algorithm for determination of accumulated dose for brachytherapy of cervical cancer patients

Journal of contemporary brachytherapy, 2019-10, Vol.11 (5), p.469-478

2019

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Pediatric effective dose assessment for routine computed tomography examinations in Tehran, Iran

Journal of medical signals and sensors, 2022-07, Vol.12 (3), p.227-232

2022

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Metal artifact reduction in computed tomography images based on developed generative adversarial neural network

Informatics in medicine unlocked, 2021, Vol.24, p.100573, Article 100573

2021

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Automated detection of dental artifacts for large-scale radiomic analysis in radiation oncology

Physics and imaging in radiation oncology, 2021-04, Vol.18, p.41-47

2021

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Automated detection of pneumonia cases using deep transfer learning with paediatric chest X-ray images

British journal of radiology, 2021-05, Vol.94 (1121), p.20201263-20201263

2021

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Deep learning-based automatic detection of tuberculosis disease in chest X-ray images

Polish journal of radiology, 2022, Vol.87, p.e118-124

2022

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MRI-based machine learning for determining quantitative and qualitative characteristics affecting the survival of glioblastoma multiforme

Magnetic resonance imaging, 2022-01, Vol.85, p.222-227

2022

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Comparison of electromagnetic and hadronic models generated using Geant 4 with antiproton dose measured in CERN

Journal of medical physics, 2015-04, Vol.40 (2), p.109-114

2015

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Lifetime attributable cancer risk related to prevalent CT scan procedures in pediatric medical imaging centers

International journal of radiation biology, 2021-09, Vol.97 (9), p.1282-1288

2021

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Longitudinal analysis of heart rate and physical activity collected from smartwatches

CCF transactions on pervasive computing and interaction (Online), 2024-03, Vol.6 (1), p.18-35

2024

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Evaluation on Geant4 Hadronic Models for Pion Minus, Pion Plus and Neutron Particles as Major Antiproton Annihilation Products

Journal of medical signals and sensors, 2015-04, Vol.5 (2), p.105-109

2015

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Abstract PO-034: The prediction of mandibular osteoradionecrosis in head and neck cancer patients using CT-derived radiomics features

Clinical cancer research, 2021-03, Vol.27 (5_Supplement), p.PO-034-PO-034

2021

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PEDIATRIC REGIONAL DRL ASSESSMENT IN COMMON CT EXAMINATIONS FOR MEDICAL EXPOSURE OPTIMIZATION IN TEHRAN, IRAN

Radiation protection dosimetry, 2020-12, Vol.192 (3), p.341-349

2020

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A Clinical Decision Support System Using Ultrasound Textures and Radiologic Features to Distinguish Metastasis From Tumor‐Free Cervical Lymph Nodes in Patients With Papillary Thyroid Carcinoma

Journal of ultrasound in medicine, 2018-11, Vol.37 (11), p.2527-2535

2018

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Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer

Journal of digital imaging, 2023-04, Vol.36 (2), p.574-587

2023

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Abstract PO-033: The impact of the variation of CT scanner on the prediction of HPV status in head & neck cancer patients

Clinical cancer research, 2021-03, Vol.27 (5_Supplement), p.PO-033-PO-033

2021

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Rectal retractor application during image-guided dose-escalated prostate radiotherapy

Strahlentherapie und Onkologie, 2019-10, Vol.195 (10), p.923-933

2019

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Prediction of Human Papillomavirus (HPV) Association of Oropharyngeal Cancer (OPC) Using Radiomics: The Impact of the Variation of CT Scanner

Cancers, 2021-05, Vol.13 (9), p.2269

2021

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Artificial intelligence in automatic classification of invasive ductal carcinoma breast cancer in digital pathology images

Medical journal of the Islamic Republic of Iran, 2020-10, Vol.34, p.140

2020

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Artificial intelligence in automatic classification of invasive ductal carcinoma breast cancer in digital pathology images

Medical journal of the Islamic Republic of Iran, 2020-10, Vol.34, p.140-140

2020

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CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images

The impact of the variation of imaging parameters on the robustness of Computed Tomography radiomic features: A review

Predicting severe radiation-induced oral mucositis in head and neck cancer patients using integrated baseline CT radiomic, dosimetry, and clinical features: A machine learning approach

Neural Network Performance Evaluation of Simulated and Genuine Head-and-Neck Computed Tomography Images to Reduce Metal Artifacts

Investigating dose homogeneity in radiotherapy of oral cancers in the presence of a dental implant system: an in vitro phantom study

Evaluation of deformable image registration algorithm for determination of accumulated dose for brachytherapy of cervical cancer patients

Pediatric effective dose assessment for routine computed tomography examinations in Tehran, Iran

Metal artifact reduction in computed tomography images based on developed generative adversarial neural network

Automated detection of dental artifacts for large-scale radiomic analysis in radiation oncology

Automated detection of pneumonia cases using deep transfer learning with paediatric chest X-ray images

Deep learning-based automatic detection of tuberculosis disease in chest X-ray images

MRI-based machine learning for determining quantitative and qualitative characteristics affecting the survival of glioblastoma multiforme

Comparison of electromagnetic and hadronic models generated using Geant 4 with antiproton dose measured in CERN

Lifetime attributable cancer risk related to prevalent CT scan procedures in pediatric medical imaging centers

Longitudinal analysis of heart rate and physical activity collected from smartwatches

Evaluation on Geant4 Hadronic Models for Pion Minus, Pion Plus and Neutron Particles as Major Antiproton Annihilation Products

Abstract PO-034: The prediction of mandibular osteoradionecrosis in head and neck cancer patients using CT-derived radiomics features

PEDIATRIC REGIONAL DRL ASSESSMENT IN COMMON CT EXAMINATIONS FOR MEDICAL EXPOSURE OPTIMIZATION IN TEHRAN, IRAN

A Clinical Decision Support System Using Ultrasound Textures and Radiologic Features to Distinguish Metastasis From Tumor‐Free Cervical Lymph Nodes in Patients With Papillary Thyroid Carcinoma

Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer

Abstract PO-033: The impact of the variation of CT scanner on the prediction of HPV status in head & neck cancer patients

Rectal retractor application during image-guided dose-escalated prostate radiotherapy

Prediction of Human Papillomavirus (HPV) Association of Oropharyngeal Cancer (OPC) Using Radiomics: The Impact of the Variation of CT Scanner

Artificial intelligence in automatic classification of invasive ductal carcinoma breast cancer in digital pathology images

Artificial intelligence in automatic classification of invasive ductal carcinoma breast cancer in digital pathology images

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