PubMed Mentions
The links below are to publications on PubMed referring to Pydicom. This list is gathered weekly from PubMed automatically.
| Publication/References | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| CHD-CXR: a de-identified publicly available dataset of chest x-ray for congenital heart disease. Description: Zhixin, Li, et al. CHD-CXR: a de-identified publicly available dataset of chest x-ray for congenital heart disease. ''Front Cardiovasc Med''. 2024; '''11''': 1351965 | |
| 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 | |
| Vision transformer to differentiate between benign and malignant slices in (18)F-FDG PET/CT. Description: Nishigaki, Daiki, et al. Vision transformer to differentiate between benign and malignant slices in (18)F-FDG PET/CT. ''Sci Rep''. 2024 Apr 9; '''14''' (1):8334 | |
| Development and Implementation of an Innovative Framework for Automated Radiomics Analysis in Neuroimaging. Description: Camastra, Chiara, et al. Development and Implementation of an Innovative Framework for Automated Radiomics Analysis in Neuroimaging. ''J Imaging''. 2024 Apr 22; '''10''' (4): | |
| Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images. Description: Bayrakdar, Ibrahim Sevki, et al. Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images. ''Dentomaxillofac Radiol''. 2024 Apr 29; '''53''' (4):256-266 | |
| Assessing the sensitivity and suitability of a range of detectors for SIMT PSQA. Description: Dunn, Leon, et al. Assessing the sensitivity and suitability of a range of detectors for SIMT PSQA. ''J Appl Clin Med Phys''. 2024 May; '''25''' (5):e14343 | |
| Deep Learning-Based Automatic Classification of Ischemic Stroke Subtype Using Diffusion-Weighted Images. Description: Ryu, Wi-Sun, et al. Deep Learning-Based Automatic Classification of Ischemic Stroke Subtype Using Diffusion-Weighted Images. ''J Stroke''. 2024 May; '''26''' (2):300-311 | |
| Vision-language foundation model for echocardiogram interpretation. Description: Christensen, Matthew, et al. Vision-language foundation model for echocardiogram interpretation. ''Nat Med''. 2024 May; '''30''' (5):1481-1488 |