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ORCIDBMC Medical Imaging, Volume 24
Volume 24, Number 1, December 2024
- Sohamkumar Chauhan
, Damodar Reddy Edla, Vijayasree Boddu, M. Jayanthi Rao, Ramalingaswamy Cheruku, Soumya Ranjan Nayak, Sheshikala Martha, Kamppa Lavanya, Tsedenya Debebe Nigat:
Detection of COVID-19 using edge devices by a light-weight convolutional neural network from chest X-ray images. 1 - Ke Chen, Lei Chang, Rong Huang, Ziyan Wang, Dan Mu, Lian Wang:
Left atrial conduit strain derived from cardiac magnetic resonance is an independent predictor of left ventricular reverse remodeling in patients with nonischemic cardiomyopathy. 2 - Sebastian Johannes Müller, Eya Khadhraoui, Marielle Sophie Ernst, Veit Rohde, Bawarjan Schatlo, Vesna Malinova:
Differentiation of multiple brain metastases and glioblastoma with multiple foci using MRI criteria. 3 - 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. 4 - Mujin Kim, Willmer Rafell Quiñones Robles, Young Sin Ko, Bryan Wong, Sol Lee, Mun Yong Yi:
A predicted-loss based active learning approach for robust cancer pathology image analysis in the workplace. 5 - Dikai Li:
Attention-enhanced architecture for improved pneumonia detection in chest X-ray images. 6 - Yanyan Zeng, Xiaoyong Wang, Jiaojiao Wu, Limin Wang, Feng Shi, Jian Shu:
Survival analysis of patients with extrahepatic cholangiocarcinoma: a nomogram for clinical and MRI features. 7 - Eun Ji Lee, Yeo Ju Kim, Sung Oh Song, Seunghun Lee, Jeongah Ryu, Nayeon Choi:
Comparison of the diagnostic performance of the Swischuk line method and the anterior atlantodental interval method in atlantodental subluxation. 8 - Xia Zheng, Yue Shi, Delida Kulabieke, Zihao Wang, Ying Cheng, Jun Qian:
Prognostic significance of 18F-Fluorodeoxyglucose positron-emission tomography parameters in patients with biliary tract cancers: a meta-analysis. 9 - Li Zhiqiang, Wang Yihua, Fu Ying, Shiwei Zhu, Xiangzhu Zeng, Ligang Cui:
The value of color doppler ultrasonography combined with computed tomography angiography and magnetic resonance angiography in the preoperative quantification and classification of carotid body tumors: a retrospective analysis. 10 - Rongqin Zhang, Meilinuer Abudurexiti, Wanglin Qiu, Pinbo Huang, Ping Hu, Wei Fan, Zhanwen Zhang:
Assessment of water enema PET/CT: an effective imaging technique for the diagnosis of incidental colorectal 18F-FDG uptake. 11 - Donghua Meng, Zhen Wang, Changsen Bai, Zhaoxiang Ye, Zhipeng Gao:
Assessing the effect of scanning parameter on the size and density of pulmonary nodules: a phantom study. 12 - Yaxin Deng, Haoru Wang, Ling He:
CT radiomics to differentiate between Wilms tumor and clear cell sarcoma of the kidney in children. 13 - Shuo Zhou, Pokwan Tsui, Meifu Lin, Guobao Chen, Wenxin Chen, Xiangran Cai:
A diagnostic model based on 18F-FDG PET/CT parameters in improving the differential diagnosis of invasive thymic epithelial tumors and anterior mediastinal lymphomas. 14 - 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. 15 - Zanxia Zhang, Jie Liu, Yong Zhang, Feifei Qu, Robert Grimm, Jingliang Cheng, Weijian Wang, Jinxia Zhu, Shujian Li:
T1 mapping as a quantitative imaging biomarker for diagnosing cervical cancer: a comparison with diffusion kurtosis imaging. 16 - Liangli Xiong, Chen Yi, Qiliang Xiong, Shaofeng Jiang:
SEA-NET: medical image segmentation network based on spiral squeeze-and-excitation and attention modules. 17 - Huanhuan Zheng, Hailong Zhang, Yan Zhu, Xiaolei Wei, Song Liu, Wei Ren:
Value of blood oxygenation level-dependent magnetic resonance imaging in early evaluation of the response and prognosis of esophageal squamous cell carcinoma treated with definitive chemoradiotherapy: a preliminary study. 18 - Fanyu Du, Lishuai Zhao, Hui Luo, Qijia Xing, Jun Wu, Yuanzhong Zhu, Wansong Xu, Wenjing He, Jianfang Wu:
Recognition of eye diseases based on deep neural networks for transfer learning and improved D-S evidence theory. 19 - Zhengqi Zhu, Mimi Mao, Anyi Song, Haipeng Gong, Jianan Gu, Yongfeng Dai, Feng Feng:
Study on the diagnostic value of MDCT extramural vascular invasion in preoperative N staging of gastric cancer patients. 20 - 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. 21 - Guangying Zheng, Jie Hou, Zhenyu Shu, Jiaxuan Peng, Lu Han, Zhongyu Yuan, Xiaodong He, Xiangyang Gong:
Prediction of neoadjuvant chemotherapy pathological complete response for breast cancer based on radiomics nomogram of intratumoral and derived tissue. 22 - Francesca De Luca, Annika Kits, Daniel Martin Muñoz, Åsa Aspelin, Ola Kvist, Yords Österman, Sandra Diaz Ruiz, Stefan Skare, Anna Falk Delgado:
Elective one-minute full brain multi-contrast MRI versus brain CT in pediatric patients: a prospective feasibility study. 23 - Yifeng Peng, Haijun Deng:
Medical image fusion based on machine learning for health diagnosis and monitoring of colorectal cancer. 24 - Weidong Du, Weipiao Kang, Shixin Lai, Zehong Cai, Yaowen Chen, Xiaolei Zhang, Yu Lin:
Deep learning in computed tomography to predict endotype in chronic rhinosinusitis with nasal polyps. 25 - Hui-Ping Zhang, Rong-xi Liang, Xue-ying Lin, Ensheng Xue, Qin Ye, Yi-fan Zhu:
Application of contrast-enhanced ultrasound in diagnosis and grading of bladder urothelial carcinoma. 26 - Yingying Liang, Fan Xu, Qiuju Mou, Zihua Wang, Chuyin Xiao, Tingwen Zhou, Nianru Zhang, Jing Yang, Hongzhen Wu:
A gadoxetic acid-enhanced MRI-based model using LI-RADS v2018 features for preoperatively predicting Ki-67 expression in hepatocellular carcinoma. 27 - Qingxia Wu, Jianghua Lou, Jinjin Liu, Linxiao Dong, Qingxia Wu, Yaping Wu, Xuan Yu, Meiyun Wang:
Performance of node reporting and data system (node-RADS): a preliminary study in cervical cancer. 28 - Yuhui Deng, Dawei Yang, Xianzheng Tan, Hui Xu, Lixue Xu, Ahong Ren, Peng Liu, Zhenghan Yang:
Preoperative evaluation of microvascular invasion in hepatocellular carcinoma with a radiological feature-based nomogram: a bi-centre study. 29 - Sunil Kumar, Harish Kumar, Gyanendra Kumar, Shailendra Pratap Singh, Anchit Bijalwan, Manoj Diwakar:
A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review. 30 - 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. 31 - B. Uma Maheswari, Dahlia Sam, Nitin Mittal, Abhishek Sharma, Sandeep Kaur, Sameh S. Askar, Mohamed Abouhawwash:
Explainable deep-neural-network supported scheme for tuberculosis detection from chest radiographs. 32 - 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. 33 - Sorapong Aootaphao, Puttisak Puttawibul, Pairash Thajchayapong, Saowapak S. Thongvigitmanee:
Artifact suppression for breast specimen imaging in micro CBCT using deep learning. 34 - 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. 35 - 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. 36 - Liuhong Zhu, Funan Wang, Heqing Wang, Jinhui Zhang, Anjie Xie, Jinkui Pei, Jianjun Zhou, Hao Liu:
Liver fat volume fraction measurements based on multi-material decomposition algorithm in patients with nonalcoholic fatty liver disease: the influences of blood vessel, location, and iodine contrast. 37 - 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. 38 - Qing-feng Xiong, Xiao-rong Fu, Lei-zhi Ku, Di Zhou, Sheng-peng Guo, Wen-sheng Zhang:
Diagnostic performance of coronary computed tomography angiography stenosis score for coronary stenosis. 39 - Na Li, Xin Zhang, Jin Gu, Ming Yang, Lina Chen, Jie Yu, Heshui Shi:
Quantitating myocardial fibrosis using extracellular extravascular volume determined from computed tomography myocardial perfusion imaging. 40 - 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. 41 - Cuiping Wu, Binyang Zhu, Song Kang, Shiyu Wang, Yingying Liu, Xue Mei, He Zhang, Shuangquan Jiang:
Ultrasound characteristics of normal parathyroid glands and analysis of the factors affecting their display. 42 - 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. 43 - 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. 44 - Jiexiao Wang, Jialiang Wang, Xiang Huang, Yanfei Zhou, Jian Qi, Xiaojun Sun, Jinfu Nie, Zongtao Hu, Shujie Wang, Bo Hong, Hongzhi Wang:
CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer. 45 - Li Wang, Meiying Li, Siqi Jin, Yunshu Ouyang, Fenglan Wang, Ke Lv, Jianchu Li, Yuxin Jiang, He Liu, Qingli Zhu:
How to identify juxtaglomerular cell tumor by ultrasound: a case series and review of the literature. 46 - Wei Li, Jiaye Liu, Shanshan Wang, Chaolu Feng:
MTFN: multi-temporal feature fusing network with co-attention for DCE-MRI synthesis. 47 - Xiaodan Chen, Qing Guo, Xiaorong Chen, Wanjing Zheng, Yaqing Kang, Dairong Cao:
Clinical and multiparametric MRI features for differentiating uterine carcinosarcoma from endometrioid adenocarcinoma. 48 - Philipp Feldle, Jan-Peter Grunz, Andreas Steven Kunz, Pauline Pannenbecker, Theresa Sophie Patzer, Svenja Pichlmeier, Stephanie Tina Sauer, Robin Hendel, Süleyman Ergün, Thorsten Alexander Bley, Henner Huflage:
Influence of spectral shaping and tube voltage modulation in ultralow-dose computed tomography of the abdomen. 49 - Minyue Yin, Chao Xu, Jinzhou Zhu, Yuhan Xue, Yijia Zhou, Yu He, Jiaxi Lin, Lu Liu, Jingwen Gao, Xiaolin Liu, Dan Shen, Cuiping Fu:
Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images. 50 - AbdulRahman Tosho Abdulahi, Roseline Oluwaseun Ogundokun, Ajiboye Raimot Adenike, Mohd Asif Shah, Yusuf Kola Ahmed:
PulmoNet: a novel deep learning based pulmonary diseases detection model. 51 - Jacqueline Matthew, Alena Uus, Leah De Souza, Robert Wright, Abi Fukami-Gartner, Gema Priego, Carlo Saija, Maria Deprez, Alexia Egloff Collado, Jana Hutter, Lisa Story, Christina Malamateniou, Kawal S. Rhode, Joseph V. Hajnal, Mary A. Rutherford:
Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models. 52 - Qing He, Yuqi Fan, Zuojun Xu, Junfeng Zhang:
Evaluation of post-dilatation on longitudinal stent deformation and postprocedural stent malapposition in the left main artery by optical coherence tomography (OCT): an in vitro study. 53 - 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. 54 - Jieyu Duan, Pengfei Wang, Haoyu Wang, Wei Zhao:
Development of a prediction model for facilitating the clinical application of transcranial color-coded duplex ultrasonography. 55 - Liping Yang, Tianfu Wang, Jinling Zhang, Shi Kang, Shichuan Xu, Kezheng Wang:
Deep learning-based automatic segmentation of meningioma from T1-weighted contrast-enhanced MRI for preoperative meningioma differentiation using radiomic features. 56 - Jun-Yan Yue, Kai Ji, Hai-Peng Liu, Qing-Wu Wu, Chang-Hua Liang, Jian-Bo Gao:
Evaluating the consistency in different methods for measuring left atrium diameters. 57 - Min Duan, Rongrong Pan, Qing Gao, Xinying Wu, Hai Lin, Jianmin Yuan, Yamei Zhang, Lindong Liu, Youyong Tian, Tong Fu:
A rapid multi-parametric quantitative MR imaging method to assess Parkinson's disease: a feasibility study. 58 - 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. 59 - 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. 60 - Yong Jiang:
Improving the diagnosis and treatment of congenital heart disease through the combination of three-dimensional echocardiography and image guided surgery. 61 - Jiachen Liu, Huan Wang, Xiuqi Shan, Lei Zhang, Shaoqian Cui, Zelin Shi, Yunpeng Liu, Yingdi Zhang, Lanbo Wang:
Hybrid transformer convolutional neural network-based radiomics models for osteoporosis screening in routine CT. 62 - Vinod Kumar, Chander Prabha, Preeti Sharma, Nitin Mittal, Sameh S. Askar, Mohamed Abouhawwash:
Unified deep learning models for enhanced lung cancer prediction with ResNet-50-101 and EfficientNet-B3 using DICOM images. 63 - Zhiqiang Liu, Xiwei Zhang, Xiaohui Zhao, Qianqian Guo, Zhengjiang Li, Minghui Wei, Lijuan Niu, Changming An:
Combining radiomics with thyroid imaging reporting and data system to predict lateral cervical lymph node metastases in medullary thyroid cancer. 64 - 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. 65 - Juncheng Yan, Luoyu Wang, Lei Pan, Haiqi Ye, Xiaofen Zhu, Qi Feng, Haibin Wang, Zhongxiang Ding, Xiuhong Ge:
Altered trends of local brain function in classical trigeminal neuralgia patients after a single trigger pain. 66 - Simona Bottani, Elina Thibeau-Sutre, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos:
Contrast-enhanced to non-contrast-enhanced image translation to exploit a clinical data warehouse of T1-weighted brain MRI. 67 - Hongyu Zhou, Jianmin Ding, Yan Zhou, Yandong Wang, Lei Zhao, Cho-Chiang Shih, Jingping Xu, Jianan Wang, Ling Tong, Zhouye Chen, Qizhong Lin, Xiang Jing:
Malignancy diagnosis of liver lesion in contrast enhanced ultrasound using an end-to-end method based on deep learning. 68 - Jianwu Wu, Fangfang Zhang, Yinxing Huang, Liangfeng Wei, Tao Mei, Shousen Wang, Zihuan Zeng, Wei Wang:
Predictive value of cyst/tumor volume ratio of pituitary adenoma for tumor cell proliferation. 69 - Ezgi Suat Bayraktar, Gokhan Duygulu, Yusuf Kenan Çetinoglu, Mustafa Fazil Gelal, Melda Apaydin, Hülya Ellidokuz:
Comparison of ASL and DSC perfusion methods in the evaluation of response to treatment in patients with a history of treatment for malignant brain tumor. 70 - WeiPing Zhang, JingLing Wang, Li Chen:
Characteristics of high frame frequency contrast-enhanced ultrasound in renal tumors. 71 - Shiying Zhang, Manling Ge, Hao Cheng, Shenghua Chen, Yihui Li, Kaiwei Wang:
Classification of cognitive ability of healthy older individuals using resting-state functional connectivity magnetic resonance imaging and an extreme learning machine. 72 - Weiwei Geng, Liang Pan, Liwen Shen, Yuanyuan Sha, Jun Sun, Shengnan Yu, Jianguo Qiu, Wei Xing:
Correction: Evaluating renal iron overload in diabetes mellitus by blood oxygen level-dependent magnetic resonance imaging: a longitudinal experimental study. 73 - Weiwei Chen, Xuejun Ni, Cheng Qian, Lei Yang, Zheng Zhang, Mengdan Li, Fanlei Kong, Mengqin Huang, Maosheng He, Yifei Yin:
The value of a neural network based on multi-scale feature fusion to ultrasound images for the differentiation in thyroid follicular neoplasms. 74 - Shu-Hua Huang, Wen-Chiu Hsiao, Hsin-I Chang, Mi-Chia Ma, Shih-Wei Hsu, Chen-Chang Lee, Hong-Jie Chen, Ching-Heng Lin, Chi-Wei Huang, Chiung-Chih Chang:
The use of individual-based FDG-PET volume of interest in predicting conversion from mild cognitive impairment to dementia. 75 - Weiping Lu, Xiaoyan Li, Wenwen Liang, Kai Chen, Xinyue Cao, Xiaowen Zhou, Ying Wang, Bingcang Huang:
Dynamic contrast-enhanced MR imaging in identifying active anal fistula after surgery. 76 - Xuelian Bian, Qi Sun, Mi Wang, Hanyun Dong, Xiaoxiao Dai, Liyuan Zhang, Guohua Fan, Guangqiang Chen:
Preoperative prediction of microsatellite instability status in colorectal cancer based on a multiphasic enhanced CT radiomics nomogram model. 77 - Ping-Kang Chen, Zhong-Yuan Cheng, Ya-Lin Wang, Bao-Jun Xu, Zong-Chao Yu, Zhao-Xia Li, Shang-Ao Gong, Feng-Tao Zhang, Long Qian, Wei Cui, You-Zhen Feng, Xiang-Ran Cai:
Renal interstitial fibrotic assessment using non-Gaussian diffusion kurtosis imaging in a rat model of hyperuricemia. 78 - 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. 79 - Rui Zhang, Yao Wang, Zhi Li, Yushu Shi, Danping Yu, Qiang Huang, Feng Chen, Wenbo Xiao, Yuan Hong, Zhan Feng:
Dynamic radiomics based on contrast-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma. 80 - Jun-Yan Yue, Kai Ji, Hai-Peng Liu, Qing-Wu Wu, Chang-Hua Liang, Jian-Bo Gao:
Correction: Evaluating the consistency in different methods for measuring left atrium diameters. 81 - S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, Suresh Guluwadi:
Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer. 82 - Vatsala Anand, Sheifali Gupta, Deepika Koundal, Wael Y. Alghamdi, Bayan M. Alsharbi:
Deep learning-based image annotation for leukocyte segmentation and classification of blood cell morphology. 83 - Jun Li, Lichen Ren, Hehe Guo, Haibo Yang, Jingjing Cui, Yonggao Zhang:
Radiomics-based discrimination of coronary chronic total occlusion and subtotal occlusion on coronary computed tomography angiography. 84 - Andong Ma, Xinran Yan, Yaoming Qu, Haitao Wen, Xia Zou, Xinzi Liu, Mingjun Lu, Jianhua Mo, Zhibo Wen:
Amide proton transfer weighted and diffusion weighted imaging based radiomics classification algorithm for predicting 1p/19q co-deletion status in low grade gliomas. 85 - 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. 86 - Joseph Chang, Bo-Ru Lin, Ti-Hao Wang, Chung-Ming Chen:
Deep learning model for pleural effusion detection via active learning and pseudo-labeling: a multisite study. 92 - Kaijun Xia, Ping Lei, Yingzhao Liu, Cen Chen, Hui Pan, Yangming Leng, Bo Liu:
Comparison of vestibular aqueduct visualization on computed tomography and magnetic resonance imaging in patients with Ménière's disease. 93 - Michel Hesse, Florian Dupont, Nizar Mourad, Pavel Babczenko, Gwen Beaurin, Daela Xhema, Eliano Bonaccorsi-Riani, François Jamar, Renaud Lhommel:
Kidney dynamic SPECT acquisition on a CZT swiveling-detector ring camera: an in vivo pilot study. 94 - Kenan Zhang, Xiaotang Yang, Yanfen Cui, Jumin Zhao, Dengao Li:
Imaging segmentation mechanism for rectal tumors using improved U-Net. 95 - Xiaofei Wang, Wen Hu:
MRCT and CT in the diagnosis of pediatric disease imaging: assessing imaging performance and clinical effects. 96 - Elias Khalili Pour, Tahereh Mahmoudi, Hooman Ahmadzadeh, Seyed Mohsen Rafizadeh, Hamid Riazi-Esfahani:
Quantitative analysis of the eyelid curvature in patients with blepharoptosis. 97 - Rui Zhang, Shijun Jia, Linhan Zhai, Feng Wu, Shuang Zhang, Feng Li:
Predicting preoperative muscle invasion status for bladder cancer using computed tomography-based radiomics nomogram. 98 - Zhifu Xu, Xili Wang, Zhanxian Shen, Biao Shi, Yanni Zhang:
Clinical application of computed tomographic volumetric imaging in postoperative lung function assessment in patients with lung cancer. 99 - J. Satheesh Kumar, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, P. Prabhavathy, K. Manikandan, Suresh Guluwadi:
Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics. 100 - Eva Klintström, Benjamin Klintström, Örjan Smedby, Rodrigo Moreno:
Automated region growing-based segmentation for trabecular bone structure in fresh-frozen human wrist specimens. 101 - Qinfang Cai, Peishan Zhang, Fengmei Xie, Zedong Zhang, Bo Tu:
Clinical application of high-resolution spiral CT scanning in the diagnosis of auriculotemporal and ossicle. 102 - 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. 103 - Jialin Yuan, Loizos Siakallis, Hongwei Bran Li, Sebastian Brandner, Jianguo Zhang, Chenming Li, Laura Mancini, Sotirios Bisdas:
Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2-4 glioma patients: a deep Radiomics Approach. 104 - Syed Thouheed Ahmed, T. R. Mahesh, E. Srividhya, V. Vinoth Kumar, Surbhi Bhatia Khan, Abdullah Albuali, Ahlam Almusharraf:
Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework. 105 - Retraction Note: CT, MRI, and 18F-FDG PET/CT imaging features of seven cases of adult pancreatoblastoma. 106
- Mohamed Musthafa M, T. R. Mahesh, V. Vinoth Kumar, Suresh Guluwadi:
Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50. 107 - Na Li, Jia-Wei Li, Yu Qian, Ya-Jing Liu, Xiu-Zhu Qi, Ya-Ling Chen, Yi Gao, Cai Chang:
Axillary lymph node metastasis in pure mucinous carcinoma of breast: clinicopathologic and ultrasonographic features. 108 - Alexander T. D. Grünwald, Susmita Roy, Renée Lampe:
Measurement of distances and locations of thoracic and lumbar vertebral bodies from CT scans in cases of spinal deformation. 109 - Eid Albalawi, T. R. Mahesh, Arastu Thakur, V. Vinoth Kumar, Muskan Gupta, Surbhi Bhatia Khan, Ahlam Almusharraf:
Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. 110 - Louise Wilson, Elspeth H. Whitby:
The value of fetal magnetic resonance imaging in diagnosis of congenital anomalies of the fetal body: a systematic review and meta-analysis. 111 - Jisheng Zou, Yi Lyu, Yu Lin, Yaowen Chen, Shixin Lai, Siqi Wang, Xuan Zhang, Xiaolei Zhang, Renhua Wu, Weipiao Kang:
A multi-view fusion lightweight network for CRSwNPs prediction on CT images. 112 - Qiaoyu Ma, Zongying Lai, Zi Wang, Yiran Qiu, Haotian Zhang, Xiaobo Qu:
MRI reconstruction with enhanced self-similarity using graph convolutional network. 113 - Peipei Sun, Jinghui Yang, Xue Tian, Guohua Yuan:
Image fusion-based low-dose CBCT enhancement method for visualizing miniscrew insertion in the infrazygomatic crest. 114 - 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. 115 - Ling Zhao, Wei Zhou, Yu Fu, Yanlei Ge, Li Feng, Xingwen Wang, Zemao Li, Weibin Chen:
Diagnostic value of one-stop CT energy spectrum and perfusion for angiogenesis in colon and rectum cancer. 116 - Rong-rong Zhang, Hong-rui You, Ya-yuan Geng, Xiao-gang Li, Yu Sun, Jie Hou, Lian-chang Ji, Jing-long Shi, Li-bo Zhang, Benqiang Yang:
Predicting major adverse cardiovascular events within 3 years by optimization of radiomics model derived from pericoronary adipose tissue on coronary computed tomography angiography: a case-control study. 117 - Asma AlShuhail, Arastu Thakur, R. Chandramma, T. R. Mahesh, Ahlam Almusharraf, V. Vinoth Kumar, Surbhi Bhatia Khan:
Refining neural network algorithms for accurate brain tumor classification in MRI imagery. 118 - 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. 119 - 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. 120 - Hui Xie, Chaoling Song, Lei Jian, Yeang Guo, Mei Li, Jiang Luo, Qing Li, Tao Tan:
A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma. 121 - Luyao Ren, Yanyan Wang, Kaiyong Li:
Real-time sports injury monitoring system based on the deep learning algorithm. 122 - Ibrahim Alrashdi:
Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies. 123 - Zepeng Ma, Shi-Wei Wang, Lin-Yan Xue, Xiao-Dan Zhang, Wei Zheng, Yong-Xia Zhao, Shuang-Rui Yuan, Gao-Yang Li, Ya-Nan Yu, Jia-Ning Wang, Tian-Le Zhang:
A study on the application of radiomics based on cardiac MR non-enhanced cine sequence in the early diagnosis of hypertensive heart disease. 124 - 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. 125 - Li-Fang Yu, Chao-Chao Dai, Luo-Xi Zhu, Xiao-Jing Xu, Hong-Ju Yan, Chen-Xiang Jiang, Ling-Yun Bao:
Detection and diagnosis of automated breast ultrasound in patients with BI-RADS category 4 microcalcifications: a retrospective study. 126 - Xuefang Lu, Weiyin Vivian Liu, Yuchen Yan, Wenbing Yang, Changsheng Liu, Wei Gong, Guangnan Quan, Jiawei Jiang, Lei Yuan, Yunfei Zha:
Evaluation of deep learning-based reconstruction late gadolinium enhancement images for identifying patients with clinically unrecognized myocardial infarction. 127 - 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. 128 - Wen Chen, Liang Zhao, Rongrong Bian, Qingzhou Li, Xueting Zhao, Ming Zhang:
Compensation of small data with large filters for accurate liver vessel segmentation from contrast-enhanced CT images. 129 - María-Julieta Mateos, Ernesto Bribiesca, Adolfo Guzmán-Arenas, Wendy Aguilar, Jorge A. Márquez-Flores:
3D Tortuosity computation as a shape descriptor and its application to brain structure analysis. 130 - 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. 131 - Toshitada Hiraka, Yasuhiro Sugai, Yoshihiro Konno, Yuuki Toyoguchi, Yoshie Obata, Shin Ohara, Akiko Shibata, Yusuke Takeda, Koichi Nishitsuka, Kazunobu Ichikawa, Masafumi Watanabe, Yukihiko Sonoda, Masafumi Kanoto:
Evaluation of the extracranial "multifocal arcuate sign," a novel MRI finding for the diagnosis of giant cell arteritis, on STIR and contrast-enhanced T1-weighted images. 132 - Jintao Ru, Zili Zhu, Jialin Shi:
Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach. 133 - Jinna Yu, Xin Kong, Dong Xie, Fei Zheng, Chao Wang, Dan Shi, Cong He, Xiaohong Li, Hongwei Xu, Shouwei Li, Xuzhu Chen:
Multiparameter MRI-based radiomics nomogram for preoperative prediction of brain invasion in atypical meningioma:a multicentre study. 134 - Yujie Luo, Xiaoling Liu, Yiping Jia, Qin Zhao:
Ultrasound contrast-enhanced radiomics model for preoperative prediction of the tumor grade of clear cell renal cell carcinoma: an exploratory study. 135 - Tianwen Xie, Jing Gong, Qiufeng Zhao, Chengyue Wu, Siyu Wu, Weijun Peng, Yajia Gu:
Development and validation of peritumoral vascular and intratumoral radiomics to predict pathologic complete responses to neoadjuvant chemotherapy in patients with triple-negative breast cancer. 136 - Xiaolei Zhang, M. Iqbal Bin Saripan, Yanjun Wu, Zhongxiao Wang, Dong Wen, Zhendong Cao, Bingzhen Wang, Shiqi Xu, Yanli Liu, Mohammad Hamiruce Marhaban, Xianling Dong:
The impact of the combat method on radiomics feature compensation and analysis of scanners from different manufacturers. 137 - Yifan Wang, Tianyao Wang, Zekuan Yu, Junjie Wang, Fang Liu, Mengwen Ye, Xianjin Fang, Yinhong Liu, Jun Liu:
Alterations in structural integrity of superior longitudinal fasciculus III associated with cognitive performance in cerebral small vessel disease. 138 - Chi-Pin Hsu, Chih-Feng Lin, Chih-Chi Yang, Jeng-Ywan Jeng, Chang-Hung Huang:
Gender differences in ethmoid sinus morphology_ 3D reconstruction of computed tomographic images. 139 - Caiyun Zou, Hongbo Ji, Jie Cui, Bo Qian, Yu-Chen Chen, Qingxiang Zhang, Shuangba He, Yang Sui, Yang Bai, Yeming Zhong, Xu Zhang, Ting Ni, Zigang Che:
Preliminary study on AI-assisted diagnosis of bone remodeling in chronic maxillary sinusitis. 140 - Shan Gao, Zexuan Xu, Wanli Kang, Xinna Lv, Naihui Chu, Shaofa Xu, Dailun Hou:
Artificial intelligence-driven computer aided diagnosis system provides similar diagnosis value compared with doctors' evaluation in lung cancer screening. 141 - Siman Cai, Hao Xing, Yuekun Wang, Yu Wang, Wenbin Ma, Yuxin Jiang, Jianchu Li, Hongyan Wang:
Clinical application of intraoperative ultrasound superb microvascular imaging in brain tumors resections: contributing to the achievement of total tumoral resection. 142 - Zhengteng Li, Hongmei Liu, Min Wang, Xiankai Wang, Dongmei Pan, Aidong Ma, Yang Chen:
Nomogram for the preoperative prediction of Ki-67 expression and prognosis in stage IA lung adenocarcinoma based on clinical and multi-slice spiral computed tomography features. 143 - Dong Ma, Teli Zhou, Jing Chen, Jun Chen:
Radiomics diagnostic performance for predicting lymph node metastasis in esophageal cancer: a systematic review and meta-analysis. 144 - Iris Burck, Ibrahim Yel, Simon S. Martin, Moritz H. Albrecht, Vitali Koch, Christian Booz, Daniel Pinto dos Santos, Benjamin Kaltenbach, Hanns Ackermann, Juha Koivisto, Silke Helbig, Timo Stöver, Thomas J. Vogl, Jan-Erik Scholtz:
Comparison of 96-kV and 120-kV cone-beam CT for the assessment of cochlear implants. 145 - Hongchang Yu, Hongkun Yin, Huiling Zhang, Jibin Zhang, Yongfei Yue, Yanli Lu:
Placental T2WI MRI-based radiomics-clinical nomogram predicts suspicious placenta accreta spectrum in patients with placenta previa. 146 - Balamurugan A. G, Saravanan Srinivasan, Preethi D, Monica P, Sandeep Kumar Mathivanan, Mohd Asif Shah:
Robust brain tumor classification by fusion of deep learning and channel-wise attention mode approach. 147 - Shuo Li, Zhichang Fan, Junting Guo, Ding Li, Zeke Chen, Xiaoyue Zhang, Yongfang Wang, Yan Li, Guoqiang Yang, Xiaochun Wang:
Compressed sensing 3D T2WI radiomics model: improving diagnostic performance in muscle invasion of bladder cancer. 148 - Yantao Yang, Libin Zhang, Han Wang, Jie Zhao, Jun Liu, Yun Chen, Jiagui Lu, Yaowu Duan, Huilian Hu, Hao Peng, Lianhua Ye:
Development and validation of a risk prediction model for invasiveness of pure ground-glass nodules based on a systematic review and meta-analysis. 149 - Meng Chen, Guangyu Hao, Jialiang Xu, Yuanqing Liu, Yixing Yu, Su Hu, Chunhong Hu:
Radiomics analysis of lesion-specific pericoronary adipose tissue to predict major adverse cardiovascular events in coronary artery disease. 150 - Hua Zhong, Qianwen Huang, Xiaoli Zheng, Yong Wang, Yanan Qian, Xingbiao Chen, Jinan Wang, Shaoyin Duan:
Generation of virtual monoenergetic images at 40 keV of the upper abdomen and image quality evaluation based on generative adversarial networks. 151 - Eden Tekle, Kokeb Dese, Selfu Girma, Wondimagegn Adissu, Janarthanan Krishnamoorthy, Timothy Kwa:
DeepLeish: a deep learning based support system for the detection of Leishmaniasis parasite from Giemsa-stained microscope images. 152 - Guili Shen, Xueling Zhang, Lei Qin, Yiyun Wu, Hongbo Li:
Application of strain elastography ultrasound to the endometrium of normal women. 153 - Chi Zhang, Jin Peng, Lu Wang, Yu Wang, Wei Chen, Ming-wei Sun, Hua Jiang:
A deep learning-powered diagnostic model for acute pancreatitis. 154 - Zhe Yang, Chenglong Liu, Zhaojuan Shi, Jian Qin:
IDEAL-IQ combined with intravoxel incoherent motion diffusion-weighted imaging for quantitative diagnosis of osteoporosis. 155 - Babita Majhi, Aarti Kashyap, Siddhartha Suprasad Mohanty, Sujata Dash, Saurav Mallik, Aimin Li, Zhongming Zhao:
An improved method for diagnosis of Parkinson's disease using deep learning models enhanced with metaheuristic algorithm. 156 - Shixiao Wu, Chengcheng Guo, Ayixiamu Litifu, Zhiwei Wang:
3D residual attention hierarchical fusion for real-time detection of the prostate capsule. 157 - Dilan Dogru, Gizem D. Özdemir, Mehmet Akif Özdemir, Utku Kursat Ercan, Nermin Topaloglu Avsar, Onan Güren:
An automated in vitro wound healing microscopy image analysis approach utilizing U-net-based deep learning methodology. 158 - Jingyu Zhong, Lingyun Wang, Chao Yan, Yue Xing, Yangfan Hu, Defang Ding, Xiang Ge, Jianying Li, Wei Lu, Xiaomeng Shi, Fei Yuan, Weiwu Yao, Huan Zhang:
Deep learning image reconstruction generates thinner slice iodine maps with improved image quality to increase diagnostic acceptance and lesion conspicuity: a prospective study on abdominal dual-energy CT. 159 - Yun Peng, Chunyuan Luo, Heng Wang, Ke Sun, Fang Lin, Jingzhi Wang, Yutong Rao, Ruoyun Fan, Lianggeng Gong, Xiaoyu Sun:
Feasibility of CT attenuation values in distinguishing acute ischemic stroke, old cerebral infarction and leukoaraiosis. 160 - Eid Albalawi, T. R. Mahesh, Arastu Thakur, V. Vinoth Kumar, Muskan Gupta, Surbhi Bhatia Khan, Ahlam Almusharraf:
Correction to: Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. 161 - Huasong Cai, Hairong Jiang, Dingxiang Xie, Zhiman Lai, Jiale Wu, Mingjie Chen, Zhiyun Yang, Rulin Xu, Shanmei Zeng, Hui Ma:
Enhancing image quality in computed tomography angiography follow-ups after endovascular aneurysm repair: a comparative study of reconstruction techniques. 162 - Huayang Du, Xin Sui, Ruijie Zhao, Jiaru Wang, Ying Ming, Sirong Piao, Jinhua Wang, Zhuangfei Ma, Yun Wang, Lan Song, Wei Song:
A comparative analysis of deep learning and hybrid iterative reconstruction algorithms with contrast-enhancement-boost post-processing on the image quality of indirect computed tomography venography of the lower extremities. 163 - Zhiyue Zhou, Yuxuan Jin, Haili Ye, Xiaoqing Zhang, Jiang Liu, Wenyong Zhang:
Classification, detection, and segmentation performance of image-based AI in intracranial aneurysm: a systematic review. 164 - Chang Liu, Yeqi Fang, YuHuan Xie, Hao Zheng, Xin Li, Dongsheng Wu, Tao Zhang:
Deep learning pneumoconiosis staging and diagnosis system based on multi-stage joint approach. 165 - Qian Yang, Chengfeng Wang, Kaicheng Pan, Bing Xia, Ruifei Xie, Jiankai Shi:
An improved 3D-UNet-based brain hippocampus segmentation model based on MR images. 166 - Feng-Hai Liu, Xin-Ru Zhao, Xiao-Ling Zhang, Meng Zhao, Shan Lu:
Multiparametric mri-based radiomics nomogram for predicting lymph-vascular space invasion in cervical cancer. 167 - Moussa Gueda Moussa, Jérôme Lamy, Vincent Nguyen, Perrine Marsac, Umit Gencer, Élie Mousseaux, Emilie Bollache, Nadjia Kachenoura:
Estimate of the hydraulic force in the aging heart: a cardiovascular magnetic resonance imaging study. 168 - Wei Chen, Qixuan Li, Heng Zhang, Kangkang Sun, Wei Sun, Zhuqing Jiao, Xinye Ni:
MR-CT image fusion method of intracranial tumors based on Res2Net. 169 - Hao Zhang, Yun-Feng Yang, Xue-Lin Song, Hai-Jian Hu, Yuan-Yuan Yang, Xia Zhu, Chao Yang:
An interpretable artificial intelligence model based on CT for prognosis of intracerebral hemorrhage: a multicenter study. 170 - Xiaofen Li, Jingkun Zhang, Yinping Leng, Jiaqi Liu, Linlin Li, Tianyi Wan, Wentao Dong, Bing Fan, Lianggeng Gong:
Preoperative prediction of histopathological grading in patients with chondrosarcoma using MRI-based radiomics with semantic features. 171 - Busra Beser, Tugba Reis, Merve Nur Berber, Edanur Topaloglu, Esra Gungor, Münevver Coruh Kilic, Sacide Duman, Özer Çelik, Alican Kuran, Ibrahim Sevki Bayrakdar:
YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition. 172 - Xiaoling Leng, Jinhui Liu, Qiao Zou, Changchun Wang, Sen Yang:
Application of color doppler ultrasound and US shear wave elastography with connective tissue growth factor in the risk assessment of papillary thyroid carcinoma. 173 - Omer Nabeel Dara, Abdullahi Abdu Ibrahim, Tareq Abed Mohammed:
Advancing medical imaging: detecting polypharmacy and adverse drug effects with Graph Convolutional Networks (GCN). 174 - Rukun Huang, Tingsheng Lin, Mengxia Chen, Xiaogong Li, Hongqian Guo:
Diagnostic performance of magnetic resonance imaging features to differentiate adrenal pheochromocytoma from adrenal tumors with positive biochemical testing results. 175 - S. Yogesh Kumaran, J. Jospin Jeya, T. R. Mahesh, Surbhi Bhatia Khan, Saeed Alzahrani, Mohammed Alojail:
Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam. 176 - Naira Elazab, Wael Gab Allah, Mohammed Elmogy:
Computer-aided diagnosis system for grading brain tumor using histopathology images based on color and texture features. 177 - Tao Sun, Hai-yun Yu, Chunhua Zhang, Hanlong Guo, Mu-yun Luo:
Non-contrast CT radiomics-clinical machine learning model for futile recanalization after endovascular treatment in anterior circulation acute ischemic stroke. 178 - Wei Hu, Shouyi Yang, Weifeng Guo, Na Xiao, Xiaopeng Yang, Xiangyang Ren:
STC-UNet: renal tumor segmentation based on enhanced feature extraction at different network levels. 179 - Yong Peng, Xianqian Huang, Minzhi Gan, Keyue Zhang, Yong Chen:
Radiograph-based rheumatoid arthritis diagnosis via convolutional neural network. 180 - Chong Liu, Ye Wang, Duo Zhang, Jin Zhou, Yan Wu, Ying Guo, Rui-Chao Liu, Jin-E. Xu:
Value of multiparametric magnetic resonance imaging in distinguishing sinonasal lymphoma from sinonasal carcinoma: a case control study. 181 - Viswanath Muthukrishnan, Sandeep Jaipurkar, Nedumaran Damodaran:
Continuum topological derivative - a novel application tool for denoising CT and MRI medical images. 182 - Zhe Yang, Chenglong Liu, Zhaojuan Shi, Jian Qin:
Correction: IDEAL-IQ combined with intravoxel incoherent motion diffusion-weighted imaging for quantitative diagnosis of osteoporosis. 183 - Xuefang Lu, Weiyin Vivian Liu, Yuchen Yan, Wenbing Yang, Changsheng Liu, Wei Gong, Guangnan Quan, Jiawei Jiang, Lei Yuan, Yunfei Zha:
Correction: Evaluation of deep learning-based reconstruction late gadolinium enhancement images for identifying patients with clinically unrecognized myocardial infarction. 184 - Chunxing Li, Jisu Hu, Zhiyuan Zhang, Chaogang Wei, Tong Chen, Ximing Wang, Yakang Dai, Junkang Shen:
Biparametric MRI of the prostate radiomics model for prediction of pelvic lymph node metastasis in prostate cancers : a two-centre study. 185 - Yujing Zhou, Guangbo Jia, Yingtong Ren, Yingxin Ren, Zhifeng Xiao, Yinmei Wang:
Advancing ASD identification with neuroimaging: a novel GARL methodology integrating Deep Q-Learning and generative adversarial networks. 186 - Hui Li, Zixuan Yang, Weimin Qi, Xinchen Yu, Jiaying Wu, Haining Li:
Parkinson's image detection and classification based on deep learning. 187 - Lihua Chen, Yan Ren, Yizhong Yuan, Jipan Xu, Baole Wen, Shuangshuang Xie, Jinxia Zhu, Wenshuo Li, Xiaoli Gong, Wen Shen:
Multi-parametric MRI-based machine learning model for prediction of pathological grade of renal injury in a rat kidney cold ischemia-reperfusion injury model. 188 - Linyong Wu, Songhua Li, Chaojun Wu, Shaofeng Wu, Yan Lin, Dayou Wei:
Ultrasound-based deep learning radiomics nomogram for differentiating mass mastitis from invasive breast cancer. 189 - Fei Wang, Yi-Nan Sun, Bao-Ti Zhang, Qing Yang, An-Dong He, Wang-Yan Xu, Jun Liu, Meng-Xiao Liu, Xiao-Hu Li, Yong-Qiang Yu, Juan Zhu:
Value of fractional-order calculus (FROC) model diffusion-weighted imaging combined with simultaneous multi-slice (SMS) acceleration technology for evaluating benign and malignant breast lesions. 190 - Simrandeep Singh, Harbinder Singh, Nitin Mittal, Supreet Singh, Sameh S. Askar, Ahmad M. Alshamrani, Mohamed Abouhawwash:
An efficient multi-level thresholding method for breast thermograms analysis based on an improved BWO algorithm. 191 - Zhenyan Ye, Ying Kou, Jiaqi Shen, Jun Dang, Xiaofei Tan, Xiao Jiang, Xiaoxiong Wang, Hao Lu, Shirong Chen, Zhuzhong Cheng:
A comparative study of 18F-PSMA-1007 PET/CT and pelvic MRI in newly diagnosed prostate cancer. 192 - Lin Yang, Haiwei Zhang, Jiexin Sheng, Meng Wang, Yaliang Liu, Min Xu, Xiao Yang, Bo Wang, Xiaolong He, Lei Gao, Chao Zheng:
Contrast enhancement boost improves the image quality of CT angiography derived from 80-kVp cerebral CT perfusion data. 193 - Zhihui Shen, Yuan Wang, Xin Chen, Sai Chou, Guanyun Wang, Yong Wang, Xiaodan Xu, Jiajin Liu, Ruimin Wang:
Clinical value of the semi-quantitative parameters of 18F-fluorodeoxyglucose PET/CT in the classification of hepatic echinococcosis in the Qinghai Tibetan area of China. 194 - S. Yogesh Kumaran, J. Jospin Jeya, T. R. Mahesh, Surbhi Bhatia Khan, Saeed Alzahrani, Mohammed Alojail:
Correction: Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam. 195 - Ting Xu, Xiaowen Liu, Yaxi Chen, Shuxing Wang, Changsi Jiang, Jingshan Gong:
CT-based deep learning radiomics biomarker for programmed cell death ligand 1 expression in non-small cell lung cancer. 196 - Chao Gao, Liping Yang, Yuchao Xu, Tianzuo Wang, Hongchao Ding, Xing Gao, Lin Li:
Differentiating low-risk thymomas from high-risk thymomas: preoperative radiomics nomogram based on contrast enhanced CT to minimize unnecessary invasive thoracotomy. 197 - Arwa A. Mashat:
A QR code-enabled framework for fast biomedical image processing in medical diagnosis using deep learning. 198 - Zuhal Y. Hamd, Amal I. Alorainy, Mohammed A. Alharbi, Anas Hamdoun, Arwa Alkhedeiri, Shaden Alhegail, Nurul Absar, Mayeen Uddin Khandaker, Alexander F. I. Osman:
Deep learning-based automated bone age estimation for Saudi patients on hand radiograph images: a retrospective study. 199 - Masayuki Saito, Hirona Banno, Yukie Ito, Mirai Ido, Manami Goto, Takahito Ando, Yukako Mouri, Junko Kousaka, Kimihito Fujii, Tsuneo Imai, Shogo Nakano, Kojiro Suzuki:
Evaluation of the intramammary distribution of breast lesions detected by MRI but not conventional second-look B-mode ultrasound using an MRI/ultrasound fusion technique. 200 - Mohamed Musthafa M, Mahesh Thylore Ramakrishna, V. Vinoth Kumar, Suresh Guluwadi:
Enhanced skin cancer diagnosis using optimized CNN architecture and checkpoints for automated dermatological lesion classification. 201 - Jia Jiang, Siqin Chen, Shaofeng Zhang, Yaling Zeng, Jiayi Liu, Wei lei, Xiang Liu, Xin Chen, Qiang Xiao:
A radiomics model utilizing CT for the early detection and diagnosis of severe community-acquired pneumonia. 202 - Zheng Liu, Rui Yin, Wenjuan Ma, Zhijun Li, Yijun Guo, Haixiao Wu, Yile Lin, Vladimir P. Chekhonin, Karl Peltzer, Huiyang Li, Min Mao, Xiqi Jian, Chao Zhang:
Bone metastasis prediction in non-small-cell lung cancer: primary CT-based radiomics signature and clinical feature. 203 - Kai Xie, Liugang Gao, Yutao Zhang, Heng Zhang, Jiawei Sun, Tao Lin, Jianfeng Sui, Xinye Ni:
Metal implant segmentation in CT images based on diffusion model. 204 - Hazem M. Ammar, Ashraf F. Tammam, Ibrahim M. Selim, Mohamed Eassa:
Automated system utilizing non-invasive technique mammograms for breast cancer detection. 205 - S. R. Sannasi Chakravarthy, N. Bharanidharan, C. Vinothini, Vinoth Kumar Venkatesan, T. R. Mahesh, Suresh Guluwadi:
Adaptive Mish activation and ranger optimizer-based SEA-ResNet50 model with explainable AI for multiclass classification of COVID-19 chest X-ray images. 206 - En Mou, Huiqian Wang, Xiaodong Chen, Zhangyong Li, Enling Cao, Yuanyuan Chen, Zhiwei Huang, Yu Pang:
Retinex theory-based nonlinear luminance enhancement and denoising for low-light endoscopic images. 207 - Thorsten Jentzsch, Karin E. Mantel, Ksenija Slankamenac, Georg Osterhoff, Clément M. L. Werner:
CT-based surrogate parameters for MRI-based disc height and endplate degeneration in the lumbar spine. 213 - Suzana Lukoo, Balowa Musa, Lilian Salingwa, Gerard Mpemba, Ahmed Jusabani:
The diagnostic accuracy of triphasic abdominal CT in detecting esophageal varices. 214 - Han-Lin Zeng, Fu-Qiang Shao, Xian-Feng Peng, Chun-Yu Lei:
Systematic review and meta-analysis of the diagnostic value of computed tomography angiography for severe internal carotid artery stenosis. 215 - Shi-qi Chen, Liang Wei, Keng He, Ya-wen Xiao, Zhao-tao Zhang, Jian-kun Dai, Ting Shu, Xiao-yu Sun, Di Wu, Yi Luo, Yi-fei Gui, Xin-lan Xiao:
A radiomics nomogram based on multiparametric MRI for diagnosing focal cortical dysplasia and initially identifying laterality. 216 - Ling Luo, Yidan Li, Lifang Wang, Bing Sun, Zhaohui Tong:
Ultrasound evaluation of cardiac and diaphragmatic function at different positions during a spontaneous breathing trial predicting extubation outcomes: a retrospective cohort study. 217 - Haibin Xi, Wenjing Wang:
Deep learning based uterine fibroid detection in ultrasound images. 218 - Yuchun Cai, Zhe Zhao, Jianzhang Huang, Zhendong Yu, Manqi Jiang, Shengjie Kang, Xinghong Yuan, Yingying Liu, Xiaoliu Wu, Jun Ouyang, Wencui Li, Lei Qian:
Morphological changes in flatfoot: a 3D analysis using weight-bearing CT scans. 219 - Zhengsong Zhou, Xin Li, Hongbo Ji, Xuanhan Xu, Zongqi Chang, Keda Wu, Yangyang Song, Mingkun Kao, Hongjun Chen, Dongsheng Wu, Tao Zhang:
Application of improved Unet network in the recognition and segmentation of lung CT images in patients with pneumoconiosis. 220 - Fei Xia, Wei Wei, Junli Wang, Yayang Duan, Kun Wang, Chaoxue Zhang:
Machine learning model for non-alcoholic steatohepatitis diagnosis based on ultrasound radiomics. 221 - Xiaofang Zhou, Feng Wang, Lan Yu, Feiman Yang, Jie Kang, Dairong Cao, Zhen Xing:
Prediction of PD-L1 and Ki-67 status in primary central nervous system diffuse large B-cell lymphoma by diffusion and perfusion MRI: a preliminary study. 222 - Yimeng Zhang, Zhe Wen, Mengke Liu, Xingpeng Li, Mingxia Zhang, Rengui Wang:
Diagnostic value of combined CT lymphangiography and 99Tcm-DX lymphoscintigraphy in primary chylopericardium. 223 - Busra Beser, Tugba Reis, Merve Nur Berber, Edanur Topaloglu, Esra Gungor, Münevver Coruh Kilic, Sacide Duman, Özer Çelik, Alican Kuran, Ibrahim Sevki Bayrakdar:
Correction: YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition. 224 - Dong Ma, Teli Zhou, Jing Chen, Jun Chen:
Correction: Radiomics diagnostic performance for predicting lymph node metastasis in esophageal cancer: a systematic review and meta-analysis. 225 - Gehad A. Saleh, Rasha Abdelrazek, Amany Hassan, Omar Hamdy, Mohammed Salah Ibrahim Tantawy:
Diagnostic utility of apparent diffusion coefficient in preoperative assessment of endometrial cancer: are we ready for the 2023 FIGO staging? 226 - V. Thanikachalam, K. Kabilan, Sudheer Kumar Erramchetty:
Optimized deep CNN for detection and classification of diabetic retinopathy and diabetic macular edema. 227 - Shiyang Lin, Yuan Zhong, Yidi Lin, Guangjian Liu:
Prediction model for lateral lymph node metastasis of papillary thyroid carcinoma in children and adolescents based on ultrasound imaging and clinical features: a retrospective study. 228 - Xuan Liu, Yi-ni Huang, Ying-lan Wu, Xiao-yao Zhu, Ze-ming Xie, Jian Li:
The value of quantitative shear wave elastography combined with conventional ultrasound in evaluating and guiding fine needle aspiration biopsy of axillary lymph node for early breast cancer: implication for axillary surgical stage. 229 - M. Latha, P. Santhosh Kumar, R. Roopa Chandrika, T. R. Mahesh, V. Vinoth Kumar, Suresh Guluwadi:
Revolutionizing breast ultrasound diagnostics with EfficientNet-B7 and Explainable AI. 230 - Basmah Anber, Kamil Yurtkan:
Fractional differentiation based image enhancement for automatic detection of malignant melanoma. 231 - Xiaolong Gu, Ying Xia, Jie Zhang:
Multimodal medical image fusion based on interval gradients and convolutional neural networks. 232 - Ting Wang, Yingang Wen, Zhibiao Wang:
nnU-Net based segmentation and 3D reconstruction of uterine fibroids with MRI images for HIFU surgery planning. 233 - Bai-Qiang Qu, Yun Wang, Yue-Peng Pan, Pei-Wei Cao, Xue-Ying Deng:
The scoring system combined with radiomics and imaging features in predicting the malignant potential of incidental indeterminate small (<20 mm) solid pulmonary nodules. 234 - Pooriwat Muangwong, Nutthita Prukvaraporn, Kittikun Kittidachanan, Nattharika Watthanayuenyong, Imjai Chitapanarux, Wittanee Na Chiangmai:
Utilizing CT imaging for evaluating late gastrointestinal tract side effects of radiotherapy in uterine cervical cancer: a risk regression analysis. 235 - Na Qi, Boyang Pan, Qingyuan Meng, Yihong Yang, Jie Ding, Zengbei Yuan, Nan-Jie Gong, Jun Zhao:
Clinical performance of deep learning-enhanced ultrafast whole-body scintigraphy in patients with suspected malignancy. 236 - Ibolyka Dudás, Leona Schultz, Márton Benke, Ákos Szücs, Pál Novák Kaposi, Attila Szijártó, Pál Maurovich-Horvat, Bettina Katalin Budai:
The reliability of virtual non-contrast reconstructions of photon-counting detector CT scans in assessing abdominal organs. 237 - Negisa Seyyedi, Ali Ghafari, Navisa Seyyedi, Peyman Sheikhzadeh:
Deep learning-based techniques for estimating high-quality full-dose positron emission tomography images from low-dose scans: a systematic review. 238 - Prianka Ramachandran Radhabai, Kavitha KVN, Ashok Shanmugam, Agbotiname Lucky Imoize:
An effective no-reference image quality index prediction with a hybrid Artificial Intelligence approach for denoised MRI images. 208 - Faisal A. Alrehily:
Assessing the inter-observer and intra-observer reliability of radiographic measurements for size-specific dose estimates. 209 - Hanlin Zhu, Mengwei Wu, Bo Feng, Haifeng Zhang, Chunfeng Hu, Tong Zhang, Zhijiang Han:
Development and validation of a model predicting adrenal lipid-poor adenoma based on the minimum attenuation value from non-contrast CT: a dual-center retrospective study. 210 - Haoyu Ma, Bin-qing Shen, Ji-yun Zhang, Tao Zhang, Wu Cai, Yan-fen Fan, Xi-ming Wang, Yi-xing Yu, Chunhong Hu:
Gd-EOB-DTPA enhanced MRI nomogram model to differentiate hepatocellular carcinoma and focal nodular hyperplasia both showing iso- or hyperintensity in the hepatobiliary phase. 211 - Nina Fan, Xiaofeng Chen, Yulin Li, Zhiqiang Zhu, Xiangguang Chen, Zhiqi Yang, Jiada Yang:
Dual-energy computed tomography with new virtual monoenergetic image reconstruction enhances prostate lesion image quality and improves the diagnostic efficacy for prostate cancer. 212 - Yuting Peng, Jia Liu, Jun Xie, Quanlv Li:
Diagnostic value and efficacy evaluation value of transvaginal color doppler ultrasound parameters for uterine scar pregnancy and sub-type after cesarean section. 239 - Junjie Bin, Mei Wu, Meiyun Huang, Yuguang Liao, Yuli Yang, Xianqiong Shi, Siqi Tao:
Predicting invasion in early-stage ground-glass opacity pulmonary adenocarcinoma: a radiomics-based machine learning approach. 240 - Jiakang Sun, Ke Chen, Zhiyi He, Siyuan Ren, Xinyang He, Xu Liu, Cheng Peng:
Medical image analysis using improved SAM-Med2D: segmentation and classification perspectives. 241 - Hangtong Hu, Ming-De Li, Jian-Chao Zhang, Si-Min Ruan, Shan-Shan Wu, Xin-Xin Lin, Hai-Yu Kang, Xiao-Yan Xie, Ming-De Lu, Ming Kuang, Er-Jiao Xu, Wei Wang:
Ultrasomics differentiation of malignant and benign focal liver lesions based on contrast-enhanced ultrasound. 242 - Li Tu, Ying Deng, Yun Chen, Yi Luo:
Accuracy of deep learning in the differential diagnosis of coronary artery stenosis: a systematic review and meta-analysis. 243 - He-Xin Liang, Zong-Ying Wang, Yao Li, An-Ning Ren, Zhi-Feng Chen, Xi-Zhen Wang, Xi-Ming Wang, Zhen-Guo Yuan:
The application value of support vector machine model based on multimodal MRI in predicting IDH-1mutation and Ki-67 expression in glioma. 244 - Mengting Hu, Wei Wei, Jingyi Zhang, Shigeng Wang, Xiaoyu Tong, Yong Fan, Qiye Cheng, Yijun Liu, Jianying Li, Lei Liu:
Assessing muscle invasion in bladder cancer via virtual biopsy: a study on quantitative parameters and classical radiomics features from dual-energy CT imaging. 245 - Lei Pan, Xuechun Wang, Xiuhong Ge, Haiqi Ye, Xiaofen Zhu, Qi Feng, Haibin Wang, Feng Shi, Zhongxiang Ding:
Application research on the diagnosis of classic trigeminal neuralgia based on VB-Net technology and radiomics. 246 - Yan Wang, Liang Li, Yuchen Yan, Tian Zhang, Lei Hu, Jun Chen, Yunfei Zha:
Integration of texture analysis based on DCE-MRI Ktrans map and metabolomics of early bone marrow microvascular changes in alloxan-induced diabetic rabbits. 247 - Badar Almarri, Gaurav Gupta, Ravinder Kumar, Vandana Vandana, Fatima Asiri, Surbhi Bhatia Khan:
The BCPM method: decoding breast cancer with machine learning. 248 - Zhenyan Ye, Ying Kou, Jiaqi Shen, Jun Dang, Xiaofei Tan, Xiao Jiang, Xiaoxiong Wang, Hao Lu, Shirong Chen, Zhuzhong Cheng:
Correction: a comparative study of 18 F-PSMA-1007 PET/CT and pelvic MRI in newly diagnosed prostate cancer. 249 - Ramy M. Ahmed, Wageeh A. Ali, Ahmed M. AbdelHakam, Sayed H. Ahmed:
Detection of hepatocellular carcinoma feeding vessels: MDCT angiography with 3D reconstruction versus digital subtraction angiography. 250 - Giulio Paolucci, Isabella Cama, Cristina Campi, Michele Piana:
Three-dimensional numerical schemes for the segmentation of the psoas muscle in X-ray computed tomography images. 251 - Dong Liu, Jinyu Huang, Yufeng Zhang, Hailin Shen, Ximing Wang, Zhou Huang, Xue Chen, Zhenguo Qiao, Chunhong Hu:
Multimodal MRI-based radiomics models for the preoperative prediction of lymphovascular space invasion of endometrial carcinoma. 252 - Mousa Alhajlah:
A hybrid features fusion-based framework for classification of breast micronodules using ultrasonography. 253 - Adrian Serapio, Gunvant R. Chaudhari, Cody Savage, Yoo Jin Lee, Maya Vella, Shravan Sridhar, Jamie Lee Schroeder, Jonathan Liu, Adam Yala, Jae Ho Sohn:
An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study. 254 - Josephine Edith Pohl, Philipp Schwerk, René Mauer, Gabriele Hahn, Ricardo Beck, Guido Fitze, Jurek Schultz:
Diagnosis of suspected pediatric distal forearm fractures with point-of-care-ultrasound (POCUS) by pediatric orthopedic surgeons after minimal training. 255 - Yoon Ho Choi, Ji-Eun Kim, Ro Woon Lee, Byoungje Kim, Hyeong Chan Shin, Misun Choe, Yaerim Kim, Woo Yeong Park, Kyubok Jin, Seungyeup Han, Jin Hyuk Paek, Kipyo Kim:
Histopathological correlations of CT-based radiomics imaging biomarkers in native kidney biopsy. 256 - Bingqin Huang, Wei Zheng, Ronghua Mu, Peng Yang, Xin Li, Fuzhen Liu, Xiaoyan Qin, Xiqi Zhu:
Disparities in the diagnostic efficacy of radiomics models in predicting various degrees of cognitive impairment in patients with cerebral small vessel disease. 257 - Qiongmin Zhang, Ying Long, Hongshun Cai, Siyi Yu, Yin Shi, Xiaowei Tan:
A multi-slice attention fusion and multi-view personalized fusion lightweight network for Alzheimer's disease diagnosis. 258 - Renfeng Liu, Songyan Xiao, Tianwei Liu, Fei Jiang, Cao Yuan, Jianfeng Chen:
Dual stage MRI image restoration based on blind spot denoising and hybrid attention. 259 - Xiaoyun Wang, Xiaonan Tian, Yujin Zhang, Baogen Zhao, Ning Wang, Ting Gao, Li Zhang:
Predictive value of dynamic diffusion tensor imaging for surgical outcomes in patients with cervical spondylotic myelopathy. 260 - Yi Shen, Chao Zhu, Bingqian Chu, Jian Song, Yayuan Geng, Jianying Li, Bin Liu, Xingwang Wu:
Evaluation of the clinical application value of artificial intelligence in diagnosing head and neck aneurysms. 261 - Jiaqi Ma, Xinsheng Nie, Xiangjiang Kong, Lingqing Xiao, Han Liu, Shengming Shi, Yupeng Wu, Na Li, Linlin Hu, Xiaofu Li:
MRI T2WI-based radiomics combined with KRAS gene mutation constructed models for predicting liver metastasis in rectal cancer. 262 - Linyong Wu, Qingfeng Lai, Songhua Li, Shaofeng Wu, Yizhong Li, Ju Huang, Qiuli Zeng, Dayou Wei:
Artificial intelligence in predicting recurrence after first-line treatment of liver cancer: a systematic review and meta-analysis. 263 - Kaixiang Zhang, Guoxin Zhao, Yinghui Liu, Yongbin Huang, Jie Long, Ning Li, Huangze Yan, Xiuzhu Zhang, Jingzhi Ma, Yuming Zhang:
Clinic, CT radiomics, and deep learning combined model for the prediction of invasive pulmonary aspergillosis. 264 - Xiong Chen, Chunqi Ai, Zhongchun Liu, Gang Wang:
Neuroimaging studies of resting-state functional magnetic resonance imaging in eating disorders. 265 - Qifan Ma, Jiliang Ren, Rui Wang, Ying Yuan, Xiaofeng Tao:
Predicting response to immunotherapy in oral squamous cell carcinoma via a CT-based radiomics model. 266 - Xiaodong Jiang, Dongjian Chen, Qingbin Meng, Xiaokan Liu, Li Liang, Bosheng He, Wenbin Ding:
The value evaluation of Nomogram prediction model based on CTA imaging features for selecting treatment methods for isolated superior mesenteric artery dissection. 267 - Daan De Maeseneer, Pieter De Visschere, Mats Van den Broecke, Felix Delbare, Geert Villeirs, Sofie Verbeke, Valérie Fonteyne, Charles Van Praet, Karel Decaestecker, Alexander Decruyenaere, Sylvie Rottey:
Retrospective analysis of multiparametric MRI in predicting complete pathologic response of neo-adjuvant chemotherapy in bladder cancer. 268 - Mimi Xu, Yafei Zhang, Guangfa Wang, Lili lin, Yan Wu, Yu Wang, Kui Zhao, Xinhui Su:
Characteristics of 18F-FDG PET/CT in patients with Kimura's disease from China. 269 - Yuhua Wang, Feifei Qiao, Na Li, Ye Liu, Yahong Long, Kang Xu, Jiantao Wang, Wanchun Zhang:
The value of quantitative analysis of radionuclide bone SPECT/CT imaging in vertebral compression fracture: a retrospective study. 270 - Seunghan Yoon, Tae Hyung Kim, Young Kul Jung, Younghoon Kim:
Accelerated muscle mass estimation from CT images through transfer learning. 271 - Badar Almarri, Gaurav Gupta, Ravinder Kumar, Vandana Vandana, Fatima Asiri, Surbhi Bhatia Khan:
Correction: The BCPM method: decoding breast cancer with machine learning. 272 - Antao Lin, Hao Zhang, Yan Wang, Qian Cui, Kai Zhu, Dan Zhou, Shuo Han, Shengwei Meng, Jialuo Han, Lei Li, Chuanli Zhou, Xuexiao Ma:
Radiomics based on MRI to predict recurrent L4-5 disc herniation after percutaneous endoscopic lumbar discectomy. 273 - Yoosoo Jeong, Chanho Song, Seungmin Lee, Jaebum Son:
For a clinical application of optical triangulation to assess respiratory rate using an RGB camera and a line laser. 274 - Bo Peng, Wu Lin, Wenjun Zhou, Yan Bai, Anguo Luo, Shenghua Xie, Lixue Yin:
Enhanced pediatric thyroid ultrasound image segmentation using DC-Contrast U-Net. 275 - Sebastian Johannes Müller, Eric Einspänner, Stefan Klebingat, Seraphine Zubel, Roland Schwab, Erelle Fuchs, Elie Diamandis, Eya Khadhraoui, Daniel Behme:
Calculation of virtual 3D subtraction angiographies using conditional generative adversarial networks (cGANs). 276 - Chunling Zhang, Peng Zhou, Ruobing Li, Zhongyuan Li, Aimei Ouyang:
Prediction of lymphovascular invasion in invasive breast cancer based on clinical-MRI radiomics features. 277 - Gang Jiang, Ling-ling Sun, Zhi-tao Yang, Jiu-fa Cui, Qing-yuan Zhang, Chuan-ping Gao:
Primary spinal epidural abscess: magnetic resonance imaging characteristics and diagnosis. 278 - Mei Ye, Li Wang, Yan Xing, Yuxiang Li, Zicheng Zhao, Min Xu, Wenya Liu:
Comparison of different iterative reconstruction algorithms with contrast-enhancement boost technique on the image quality of CT pulmonary angiography for obese patients. 279 - Xiu-li Nie, Chen Hua, Gao Peng, Hairong Yu, Meili Sun, Yan Peng:
Feasibility of an artificial intelligence system for tumor response evaluation. 280 - Jamshid Saeidian, Hossein Azimi, Zohre Azimi, Parnia Pouya, Hassan Asadigandomani, Hamid Riazi-Esfahani, Alireza Hayati, Kimia Daneshvar, Elias Khalili Pour:
Segmentation of choroidal area in optical coherence tomography images using a transfer learning-based conventional neural network: a focus on diabetic retinopathy and a literature review. 281 - Li-Fang Yu, Luo-Xi Zhu, Chao-Chao Dai, Xiao-Jing Xu, Yan-Juan Tan, Hong-Ju Yan, Ling-Yun Bao:
Nomogram based on multimodal ultrasound features for evaluating breast nonmass lesions: a single center study. 282 - Felix Kempter, Tobias Heye, Jan Vosshenrich, Benjamin Ceresa, Dominik Jäschke:
Trends in CT examination utilization in the emergency department during and after the COVID-19 pandemic. 283 - Adiraju Karthik, Kamal Aggarwal, Aakaar Kapoor, Dharmesh Singh, Lingzhi Hu, Akash Gandhamal, Dileep Kumar:
Comprehensive assessment of imaging quality of artificial intelligence-assisted compressed sensing-based MR images in routine clinical settings. 284 - Nafees Ahmed S, Prakasam P:
Spatial attention-based CSR-Unet framework for subdural and epidural hemorrhage segmentation and classification using CT images. 285 - Abbas Shokri, Fatemeh Salemi, Tara Taherpour, Hamed Karkehabadi, Kousar Ramezani, Foozie Zahedi, Maryam Farhadian:
Is cone-beam computed tomography more accurate than periapical radiography for detection of vertical root fractures? A systematic review and meta-analysis. 286 - Yoosoo Jeong, Chanho Song, Seungmin Lee, Jaebum Son:
Correction: For a clinical application of optical triangulation to assess respiratory rate using an RGB camera and a line laser. 287 - Haidi Lu, Yuan Yuan, Minglu Liu, Zhihui Li, Xiaolu Ma, Yuwei Xia, Feng Shi, Yong Lu, Jianping Lu, Fu Shen:
Predicting pathological complete response following neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer using merged model integrating MRI-based radiomics and deep learning data. 289 - Han Jiang, Ziqiang Li, Nan Meng, Yu Luo, Pengyang Feng, Fangfang Fu, Yang Yang, Jianmin Yuan, Zhe Wang, Meiyun Wang:
Predictive value of metabolic parameters and apparent diffusion coefficient derived from 18F-FDG PET/MR in patients with non-small cell lung cancer. 290 - Yantao Yang, Ziqi Jiang, Qiubo Huang, Wen Jiang, Chen Zhou, Jie Zhao, Huilian Hu, Yaowu Duan, Wangcai Li, Jia Luo, Jiezhi Jiang, Lianhua Ye:
Clinical and CT characteristics for predicting lymph node metastasis in patients with synchronous multiple primary lung adenocarcinoma. 291 - Lulu Xu, Jing Zhang, Siyun Liu, Guoyun He, Jian Shu:
Development and internal validation of prediction model for rebleeding within one year after endoscopic treatment of cirrhotic varices: consideration from organ-based CT radiomics signature. 292 - Zhong-Yan Ma, Hai-lin Zhang, Fa-jin Lv, Wei Zhao, Dan Han, Li-chang Lei, Qin Song, Wei-wei Jing, Hui Duan, Shao-Lei Kang:
An artificial intelligence algorithm for the detection of pulmonary ground-glass nodules on spectral detector CT: performance on virtual monochromatic images. 293 - Merve Gonca, Ibrahim Sevki Bayrakdar, Özer Çelik:
Does the FARNet neural network algorithm accurately identify Posteroanterior cephalometric landmarks? 294 - Anhui Zhu, Xiaoyan Hou, Na Guo, Weifang Zhang:
18F-FDG PET/CT for predicting inferior vena cava wall invasion in patients of renal cell carcinoma with the presence of inferior vena cava tumor thrombus. 295 - Anle Yu, Lanfang Su, Qun Li, Xiaohua Li, Sile Tao, Feng Li, Danqiong Deng:
Imaging and clinical manifestations of hematogenous dissemination in melioidosis. 296 - Sankar M, Baiju BV, Preethi D, Ananda Kumar S, Sandeep Kumar Mathivanan, Mohd Asif Shah:
Efficient brain tumor grade classification using ensemble deep learning models. 297
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