PubMed Mentions
The links below are to publications on PubMed referring to Pydicom. This list is gathered weekly from PubMed automatically.
| Publication/References | |
| Radiology and Enterprise Medical Imaging Extensions (REMIX). Description: Erdal, Barbaros S, et al. Radiology and Enterprise Medical Imaging Extensions (REMIX). ''J Digit Imaging''. 2018 Feb; '''31''' (1):91-106 | |
| An evaluation of systematic errors on marker-based registration of computed tomography and magnetic resonance images of the liver. Description: Woolcot, Thomas, et al. An evaluation of systematic errors on marker-based registration of computed tomography and magnetic resonance images of the liver. ''Phys Imaging Radiat Oncol''. 2018 Jul; '''7''': 27-31 | |
| Assessment of Image Quality in Digital Radiographs Submitted for Hip Dysplasia Screening. Description: Moorman, Lilah, et al. Assessment of Image Quality in Digital Radiographs Submitted for Hip Dysplasia Screening. ''Front Vet Sci''. 2019; '''6''': 428 | |
| Ankle Fracture Detection Utilizing a Convolutional Neural Network Ensemble Implemented with a Small Sample, De Novo Training, and Multiview Incorporation. Description: Kitamura, Gene, et al. Ankle Fracture Detection Utilizing a Convolutional Neural Network Ensemble Implemented with a Small Sample, De Novo Training, and Multiview Incorporation. ''J Digit Imaging''. 2019 Aug; '''32''' (4):672-677 | |
| Performance of deep learning to detect mastoiditis using multiple conventional radiographs of mastoid. Description: Lee, Kyong Joon, et al. Performance of deep learning to detect mastoiditis using multiple conventional radiographs of mastoid. ''PLoS One''. 2020; '''15''' (11):e0241796 | |
| Deep learning evaluation of pelvic radiographs for position, hardware presence, and fracture detection. Description: Kitamura, Gene. Deep learning evaluation of pelvic radiographs for position, hardware presence, and fracture detection. ''Eur J Radiol''. 2020 Sep; '''130''': 109139 | |
| Olfactory bulb surroundings can help to distinguish Parkinson's disease from non-parkinsonian olfactory dysfunction. Description: Tremblay, Cecilia, et al. Olfactory bulb surroundings can help to distinguish Parkinson's disease from non-parkinsonian olfactory dysfunction. ''Neuroimage Clin''. 2020 Oct 2; '''28''': 102457 | |
| Can Additional Patient Information Improve the Diagnostic Performance of Deep Learning for the Interpretation of Knee Osteoarthritis Severity. Description: Kim, Dong Hyun, et al. Can Additional Patient Information Improve the Diagnostic Performance of Deep Learning for the Interpretation of Knee Osteoarthritis Severity. ''J Clin Med''. 2020 Oct 18; '''9''' (10): | |
| Machine learning for endoleak detection after endovascular aortic repair. Description: Talebi, Salmonn, et al. Machine learning for endoleak detection after endovascular aortic repair. ''Sci Rep''. 2020 Oct 27; '''10''' (1):18343 | |
| The effect of gadolinium-based contrast agent administration on magnetic resonance fingerprinting-based T1 relaxometry in patients with prostate cancer. Description: Sushentsev, Nikita, et al. The effect of gadolinium-based contrast agent administration on magnetic resonance fingerprinting-based T1 relaxometry in patients with prostate cancer. ''Sci Rep''. 2020 Nov 24; '''10''' (1):20475 | |
| ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans. Description: Yousefzadeh, Mehdi, et al. ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans. ''PLoS One''. 2021; '''16''' (5):e0250952 | |
| Development and Validation of Automated Visual Field Report Extraction Platform Using Computer Vision Tools. Description: Saifee, Murtaza, et al. Development and Validation of Automated Visual Field Report Extraction Platform Using Computer Vision Tools. ''Front Med (Lausanne)''. 2021; '''8''': 625487 | |
| Reproducibility of magnetic resonance fingerprinting-based T1 mapping of the healthy prostate at 1.5 and 3.0 T: A proof-of-concept study. Description: Sushentsev, Nikita, et al. Reproducibility of magnetic resonance fingerprinting-based T1 mapping of the healthy prostate at 1.5 and 3.0 T: A proof-of-concept study. ''PLoS One''. 2021; '''16''' (1):e0245970 | |
| Fast automated detection of COVID-19 from medical images using convolutional neural networks. Description: Liang, Shuang, et al. Fast automated detection of COVID-19 from medical images using convolutional neural networks. ''Commun Biol''. 2021 Jan 4; '''4''' (1):35 | |
| Design and Implementation of the Pre-Clinical DICOM Standard in Multi-Cohort Murine Studies. Description: Kalen, Joseph D, et al. Design and Implementation of the Pre-Clinical DICOM Standard in Multi-Cohort Murine Studies. ''Tomography''. 2021 Mar; '''7''' (1):1-9 | |
| Can Deep Learning Using Weight Bearing Knee Anterio-Posterior Radiograph Alone Replace a Whole-Leg Radiograph in the Interpretation of Weight Bearing Line Ratio? Description: Moon, Hyun-Doo, et al. Can Deep Learning Using Weight Bearing Knee Anterio-Posterior Radiograph Alone Replace a Whole-Leg Radiograph in the Interpretation of Weight Bearing Line Ratio? ''J Clin Med''. 2021 Apr 19; '''10''' (8): | |
| Development and Validation of a Deep Learning Model Using Convolutional Neural Networks to Identify Scaphoid Fractures in Radiographs. Description: Yoon, Alfred P, et al. Development and Validation of a Deep Learning Model Using Convolutional Neural Networks to Identify Scaphoid Fractures in Radiographs. ''JAMA Netw Open''. 2021 May 3; '''4''' (5):e216096 | |
| Development and dosimetric assessment of an automatic dental artifact classification tool to guide artifact management techniques in a fully automated treatment planning workflow. Description: Hernandez, Soleil, et al. Development and dosimetric assessment of an automatic dental artifact classification tool to guide artifact management techniques in a fully automated treatment planning workflow. ''Comput Med Imaging Graph''. 2021 Jun; '''90''': 101907 | |
| A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology-Radiology Fusion. Description: Khosravi, Pegah, et al. A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology-Radiology Fusion. ''J Magn Reson Imaging''. 2021 Aug; '''54''' (2):462-471 | |
| A deep learning system for automated, multi-modality 2D segmentation of vertebral bodies and intervertebral discs. Description: Suri, Abhinav, et al. A deep learning system for automated, multi-modality 2D segmentation of vertebral bodies and intervertebral discs. ''Bone''. 2021 Aug; '''149''': 115972 | |
| A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images. Description: Kathiravelu, Pradeeban, et al. A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images. ''J Digit Imaging''. 2021 Aug; '''34''' (4):1005-1013 | |
| Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images. Description: Horry, Michael, et al. Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images. ''Sensors (Basel)''. 2021 Oct 7; '''21''' (19): | |
| Pairwise Correlation Analysis of the Alzheimer's Disease Neuroimaging Initiative (ADNI) Dataset Reveals Significant Feature Correlation. Description: Huckvale, Erik D, et al. Pairwise Correlation Analysis of the Alzheimer's Disease Neuroimaging Initiative (ADNI) Dataset Reveals Significant Feature Correlation. ''Genes (Basel)''. 2021 Oct 21; '''12''' (11): | |
| Genomic insights in ascending aortic size and distensibility. Description: Benjamins, Jan Walter, et al. Genomic insights in ascending aortic size and distensibility. ''EBioMedicine''. 2022 Jan; '''75''': 103783 | |
| Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation. Description: Chen, David, et al. Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation. ''J Imaging''. 2022 May 23; '''8''' (5): | |
| XNAT-PIC: Extending XNAT to Preclinical Imaging Centers. Description: Zullino, Sara, et al. XNAT-PIC: Extending XNAT to Preclinical Imaging Centers. ''J Digit Imaging''. 2022 Aug; '''35''' (4):860-875 | |
| More slices, less truth: effects of different test-set design strategies for magnetic resonance image classification. Description: Glavaski, Mila, et al. More slices, less truth: effects of different test-set design strategies for magnetic resonance image classification. ''Croat Med J''. 2022 Aug 31; '''63''' (4):370-378 | |
| Detection of rotational errors in single-isocenter multiple-target radiosurgery: Is a routine off-axis Winston-Lutz test necessary? Description: Pudsey, Lauren M M, et al. Detection of rotational errors in single-isocenter multiple-target radiosurgery: Is a routine off-axis Winston-Lutz test necessary? ''J Appl Clin Med Phys''. 2022 Sep; '''23''' (9):e13665 | |
| Dose rate versus gantry speed performance evaluation for slow gantry speeds using DICOM RT plans. Description: Bredikin, Alexander Z, et al. Dose rate versus gantry speed performance evaluation for slow gantry speeds using DICOM RT plans. ''J Appl Clin Med Phys''. 2022 Oct; '''23''' (10):e13786 | |
| Differential diagnosis of common etiologies of left ventricular hypertrophy using a hybrid CNN-LSTM model. Description: Hwang, In-Chang, et al. Differential diagnosis of common etiologies of left ventricular hypertrophy using a hybrid CNN-LSTM model. ''Sci Rep''. 2022 Dec 5; '''12''' (1):20998 | |
| Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals. Description: Peng, Le, et al. Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals. ''J Am Med Inform Assoc''. 2022 Dec 13; '''30''' (1):54-63 | |
| Comparison between single and serial computed tomography images in classification of acute appendicitis, acute right-sided diverticulitis, and normal appendix using EfficientNet. Description: Park, So Hyun, et al. Comparison between single and serial computed tomography images in classification of acute appendicitis, acute right-sided diverticulitis, and normal appendix using EfficientNet. ''PLoS One''. 2023; '''18''' (5):e0281498 | |
| IoMT-Enabled Computer-Aided Diagnosis of Pulmonary Embolism from Computed Tomography Scans Using Deep Learning. Description: Khan, Mudasir, et al. IoMT-Enabled Computer-Aided Diagnosis of Pulmonary Embolism from Computed Tomography Scans Using Deep Learning. ''Sensors (Basel)''. 2023 Jan 28; '''23''' (3): | |
| Chest X-ray-based opportunistic screening of sarcopenia using deep learning. Description: Ryu, Jin, et al. Chest X-ray-based opportunistic screening of sarcopenia using deep learning. ''J Cachexia Sarcopenia Muscle''. 2023 Feb; '''14''' (1):418-428 | |
| Key-Point Detection Algorithm of Deep Learning Can Predict Lower Limb Alignment with Simple Knee Radiographs. Description: Nam, Hee Seung, et al. Key-Point Detection Algorithm of Deep Learning Can Predict Lower Limb Alignment with Simple Knee Radiographs. ''J Clin Med''. 2023 Feb 11; '''12''' (4): | |
| PediCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children. Description: Pham, Hieu H, et al. PediCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children. ''Sci Data''. 2023 Apr 27; '''10''' (1):240 | |
| VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography. Description: Nguyen, Hieu T, et al. VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography. ''Sci Data''. 2023 May 12; '''10''' (1):277 | |
| Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs. Description: Pyrros, Ayis, et al. Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs. ''Nat Commun''. 2023 Jul 7; '''14''' (1):4039 | |
| Neural network application for assessing thyroid-associated orbitopathy activity using orbital computed tomography. Description: Lee, Jaesung, et al. Neural network application for assessing thyroid-associated orbitopathy activity using orbital computed tomography. ''Sci Rep''. 2023 Aug 10; '''13''' (1):13018 | |
| Selecting cardiac magnetic resonance images suitable for annotation of pulmonary arteries using an active-learning based deep learning model. Description: van der Veen, Werner, et al. Selecting cardiac magnetic resonance images suitable for annotation of pulmonary arteries using an active-learning based deep learning model. ''Sci Rep''. 2023 Sep 19; '''13''' (1):15478 | |
| Weakly supervised video-based cardiac detection for hypertensive cardiomyopathy. Description: Chen, Jiyun, et al. Weakly supervised video-based cardiac detection for hypertensive cardiomyopathy. ''BMC Med Imaging''. 2023 Oct 19; '''23''' (1):163 | |
| A brain MRI dataset and baseline evaluations for tumor recurrence prediction after Gamma Knife radiotherapy. Description: Wang, Yibin, et al. A brain MRI dataset and baseline evaluations for tumor recurrence prediction after Gamma Knife radiotherapy. ''Sci Data''. 2023 Nov 8; '''10''' (1):785 | |
| Automated temporalis muscle quantification and growth charts for children through adulthood. Description: Zapaishchykova, Anna, et al. Automated temporalis muscle quantification and growth charts for children through adulthood. ''Nat Commun''. 2023 Nov 9; '''14''' (1):6863 | |
| Mixed Reality and Artificial Intelligence: A Holistic Approach to Multimodal Visualization and Extended Interaction in Knee Osteotomy. Description: Moglia, Andrea, et al. Mixed Reality and Artificial Intelligence: A Holistic Approach to Multimodal Visualization and Extended Interaction in Knee Osteotomy. ''IEEE J Transl Eng Health Med''. 2024; '''12''': 279-290 |