- Xiqing Niu, Yutong Dun, Guoce Li, Houning Zhang, Bin Zhang, Zhibin Pan, Hao Bian, Liqing Kang, Fenghai Liu:
Evaluation of left ventricular blood flow kinetic energy in patients with acute myocardial infarction by 4D Flow MRI: a preliminary study. BMC Medical Imaging 24(1): 131 (2024) - Charmaine Natasha Nyakonda, Catherine J. Wedderburn, Simone R. Williams, Dan J. Stein, Kirsten A. Donald:
Understanding the impact of congenital infections and perinatal viral exposures on the developing brain using white matter magnetic resonance imaging: a scoping review. BMC Medical Imaging 24(1): 119 (2024) - Aleksandra M. Paciorek, Claudio E. von Schacky, Sarah C. Foreman, Felix G. Gassert, Florian T. Gassert, Jan S. Kirschke, Karl-Ludwig Laugwitz, Tobias Geith, Martin Hadamitzky, Jonathan Nadjiri:
Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep learning. BMC Medical Imaging 24(1): 43 (2024) - Jeffer Hann Wei Pang, Seyed Ehsan Saffari, Guan Rong Lee, Wai-Yung Yu, C. C. Tchoyoson Lim, Kheng Choon Lim, Chia Ching Lee, Wee Yao Koh, David Chia Wei Tsau, Kevin Lee Min Chua, Chee Kian Tham, Yin Yee Sharon Low, Wai Hoe Ng, Chyi Yeu David Low, Xuling Lin:
Tumour growth rate predicts overall survival in patients with recurrent WHO grade 4 glioma. BMC Medical Imaging 24(1): 125 (2024) - Hyun-Cheol Park, Yunsang Joo, O-Joun Lee, Kunkyu Lee, Tai-Kyong Song, Chang Choi, Moon Hyung Choi, Changhan Yoon:
Automated classification of liver fibrosis stages using ultrasound imaging. BMC Medical Imaging 24(1): 36 (2024) - Yifeng Peng, Haijun Deng:
Medical image fusion based on machine learning for health diagnosis and monitoring of colorectal cancer. BMC Medical Imaging 24(1): 24 (2024) - Elias Khalili Pour, Tahereh Mahmoudi, Hooman Ahmadzadeh, Seyed Mohsen Rafizadeh, Hamid Riazi-Esfahani:
Quantitative analysis of the eyelid curvature in patients with blepharoptosis. BMC Medical Imaging 24(1): 97 (2024) - Hua Qian, Xiaojing Ren, Maosheng Xu, Zhen Fang, Ruixin Zhang, Yangyang Bu, Changyu Zhou:
Magnetic resonance imaging-based radiomics was used to evaluate the level of prognosis-related immune cell infiltration in breast cancer tumor microenvironment. BMC Medical Imaging 24(1): 31 (2024) - Qiong Qin, Xiangyu Gan, Peng Lin, Jingshu Pang, Ruizhi Gao, Rong Wen, Dun Liu, Quanquan Tang, Changwen Liu, Yun He, Hong Yang, Yuquan Wu:
Development and validation of a multi-modal ultrasomics model to predict response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. BMC Medical Imaging 24(1): 65 (2024) - Zhongxian Rao, Wei Tan, Junmin Wang, You Zhou, Xue Yang, Shanshan Hu:
Predictive value of Cmmi-MHR combined with thromboelastography parameters in acute cerebral infarction. BMC Medical Imaging 24(1): 115 (2024) - Luyao Ren, Yanyan Wang, Kaiyong Li:
Real-time sports injury monitoring system based on the deep learning algorithm. BMC Medical Imaging 24(1): 122 (2024) - Jiliang Ren, Gongxin Yang, Yang Song, Chunye Zhang, Ying Yuan:
Machine learning-based MRI radiomics for assessing the level of tumor infiltrating lymphocytes in oral tongue squamous cell carcinoma: a pilot study. BMC Medical Imaging 24(1): 33 (2024) - Jintao Ru, Zili Zhu, Jialin Shi:
Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach. BMC Medical Imaging 24(1): 133 (2024) - Anindita Saha, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Rakesh Kumar Yadav, Saurav Mallik, Zhongming Zhao:
VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images. BMC Medical Imaging 24(1): 120 (2024) - Anindita Saha, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Rakesh Kumar Yadav, Saurav Mallik, Zhongming Zhao:
Correction: VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images. BMC Medical Imaging 24(1): 128 (2024) - Mohammadreza Shakeri, Seyed Mani Mahdavi, Masih Rikhtehgar, Mohammad Soleimani, Hasan Ghandhari, Behnam Jafari, Seyedehsan Daneshmand:
EOS® is reliable to evaluate spinopelvic parameters: a validation study. BMC Medical Imaging 24(1): 35 (2024) - Xiaonan Shao, Xinyu Ge, Jianxiong Gao, Rong Niu, Yunmei Shi, Xiaoliang Shao, Zhenxing Jiang, Renyuan Li, Yuetao Wang:
Transfer learning-based PET/CT three-dimensional convolutional neural network fusion of image and clinical information for prediction of EGFR mutation in lung adenocarcinoma. BMC Medical Imaging 24(1): 54 (2024) - Qiaowei Song, Jiaxuan Peng, Zhenyu Shu, Yuyun Xu, Yuan Shao, Wen Yu, Liang Yu:
Predicting Alzheimer's progression in MCI: a DTI-based white matter network model. BMC Medical Imaging 24(1): 103 (2024) - Saravanan Srinivasan, Kirubha Durairaju, K. Deeba, Sandeep Kumar Mathivanan, P. Karthikeyan, Mohd Asif Shah:
Multimodal Biomedical Image Segmentation using Multi-Dimensional U-Convolutional Neural Network. BMC Medical Imaging 24(1): 38 (2024) - Saravanan Srinivasan, Divya Francis, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Basu Dev Shivahare, Mohd Asif Shah:
A hybrid deep CNN model for brain tumor image multi-classification. BMC Medical Imaging 24(1): 21 (2024) - Daniel Strunk, Tim Sinnecker, Ilka Kleffner, Jan Doerr, Marius Ringelstein, Catharina C. Gross, Cornelius Deuschl, Stefan Maderwald, Harald H. Quick, Elif Yamac, Karsten H. Wrede, Markus Kraemer:
Central intra-lesional iron deposits as a possible novel imaging marker at 7 Tesla MRI in Susac Syndrome - an exploratory study. BMC Medical Imaging 24(1): 4 (2024) - Peipei Sun, Jinghui Yang, Xue Tian, Guohua Yuan:
Image fusion-based low-dose CBCT enhancement method for visualizing miniscrew insertion in the infrazygomatic crest. BMC Medical Imaging 24(1): 114 (2024) - Kui Sun, Shuxia Yu, Ying Wang, Rongze Jia, Rongchao Shi, Changhu Liang, Ximing Wang, Haiyan Wang:
Development of a multi-phase CT-based radiomics model to differentiate heterotopic pancreas from gastrointestinal stromal tumor. BMC Medical Imaging 24(1): 44 (2024) - Rui Sun, Zhengyin Zhang, Yajun Liu, Xiaohang Niu, Jie Yuan:
Remote sensing image information extraction based on Compensated Fuzzy Neural Network and big data analytics. BMC Medical Imaging 24(1): 86 (2024) - Marjola Thanaj, Nicolas Basty, Madeleine Cule, Elena P. Sorokin, Brandon J. Whitcher, Jimmy D. Bell, E. Louise Thomas:
Liver shape analysis using statistical parametric maps at population scale. BMC Medical Imaging 24(1): 15 (2024) - Burcu Tiryaki, Kubra Torenek-Agirman, Ozkan Miloglu, Berfin Korkmaz, Ibrahim Yucel Ozbek, Emin Argun Oral:
Artificial intelligence in tongue diagnosis: classification of tongue lesions and normal tongue images using deep convolutional neural network. BMC Medical Imaging 24(1): 59 (2024) - Blake VanBerlo, Jesse Hoey, Alexander Wong:
A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound. BMC Medical Imaging 24(1): 79 (2024) - Greet Vanderlinden, Charles Carron, Rik Vandenberghe, Mathieu Vandenbulcke, Koen Van Laere:
In vivo PET of synaptic density as potential diagnostic marker for cognitive disorders: prospective comparison with current imaging markers for neuronal dysfunction and relation to symptomatology - study protocol. BMC Medical Imaging 24(1): 41 (2024) - Xiaofei Wang, Wen Hu:
MRCT and CT in the diagnosis of pediatric disease imaging: assessing imaging performance and clinical effects. BMC Medical Imaging 24(1): 96 (2024) - Yufei Wang, Weifeng Liu, Zeyu Chen, Yachen Zang, Lijun Xu, Zheng Dai, Yibin Zhou, Jin Zhu:
A noninvasive method for predicting clinically significant prostate cancer using magnetic resonance imaging combined with PRKY promoter methylation level: a machine learning study. BMC Medical Imaging 24(1): 60 (2024)