Ausgabe 1/2024
Inhalt (115 Artikel)
Detection of COVID-19 using edge devices by a light-weight convolutional neural network from chest X-ray images
Sohamkumar Chauhan, Damoder Reddy Edla, Vijayasree Boddu, M Jayanthi Rao, Ramalingaswamy Cheruku, Soumya Ranjan Nayak, Sheshikala Martha, Kamppa Lavanya, Tsedenya Debebe Nigat
Left atrial conduit strain derived from cardiac magnetic resonance is an independent predictor of left ventricular reverse remodeling in patients with nonischemic cardiomyopathy
Ke Chen, Lei Chang, Rong Huang, Ziyan Wang, Dan Mu, Lian Wang
Differentiation of multiple brain metastases and glioblastoma with multiple foci using MRI criteria
Sebastian Johannes Müller, Eya Khadhraoui, Marielle Ernst, Veit Rohde, Bawarjan Schatlo, Vesna Malinova
Central intra-lesional iron deposits as a possible novel imaging marker at 7 Tesla MRI in Susac Syndrome - an exploratory study
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
A predicted-loss based active learning approach for robust cancer pathology image analysis in the workplace
Mujin Kim, Willmer Rafell Quiñones Robles, Young Sin Ko, Bryan Wong, Sol Lee, Mun Yong Yi
Attention-enhanced architecture for improved pneumonia detection in chest X-ray images
Dikai Li
Survival analysis of patients with extrahepatic cholangiocarcinoma: a nomogram for clinical and MRI features
Yanyan Zeng, Xiaoyong Wang, Jiaojiao Wu, Limin Wang, Feng Shi, Jian Shu
Comparison of the diagnostic performance of the Swischuk line method and the anterior atlantodental interval method in atlantodental subluxation
Eun Ji Lee, Yeo Ju Kim, Sung Oh Song, Seunghun Lee, Jeongah Ryu, Nayeon Choi
Prognostic significance of 18F-Fluorodeoxyglucose positron-emission tomography parameters in patients with biliary tract cancers: a meta-analysis
Xia Zheng, Yue Shi, Delida Kulabieke, Zihao Wang, Ying Cheng, Jun Qian
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
Li Zhiqiang, Wang Yihua, Fu Ying, Zhu Shiwei, Zeng Xiangzhu, Cui Ligang
Assessment of water enema PET/CT: an effective imaging technique for the diagnosis of incidental colorectal 18F-FDG uptake
Rongqin Zhang, Meilinuer Abudurexiti, Wanglin Qiu, Pinbo Huang, Ping Hu, Wei Fan, Zhanwen Zhang
Assessing the effect of scanning parameter on the size and density of pulmonary nodules: a phantom study
Donghua Meng, Zhen Wang, Changsen Bai, Zhaoxiang Ye, Zhipeng Gao
CT radiomics to differentiate between Wilms tumor and clear cell sarcoma of the kidney in children
Yaxin Deng, Haoru Wang, Ling He
A diagnostic model based on 18F-FDG PET/CT parameters in improving the differential diagnosis of invasive thymic epithelial tumors and anterior mediastinal lymphomas
Shuo Zhou, Pokwan Tsui, Meifu Lin, Guobao Chen, Wenxin Chen, Xiangran Cai
Liver shape analysis using statistical parametric maps at population scale
Marjola Thanaj, Nicolas Basty, Madeleine Cule, Elena P. Sorokin, Brandon Whitcher, Jimmy D. Bell, E. Louise Thomas
T1 mapping as a quantitative imaging biomarker for diagnosing cervical cancer: a comparison with diffusion kurtosis imaging
Zanxia Zhang, Jie Liu, Yong Zhang, Feifei Qu, Robert Grimm, Jingliang Cheng, Weijian Wang, Jinxia Zhu, Shujian Li
SEA-NET: medical image segmentation network based on spiral squeeze-and-excitation and attention modules
Liangli Xiong, Chen Yi, Qiliang Xiong, Shaofeng Jiang
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
Huanhuan Zheng, Hailong Zhang, Yan Zhu, Xiaolei Wei, Song Liu, Wei Ren
Recognition of eye diseases based on deep neural networks for transfer learning and improved D-S evidence theory
Fanyu Du, Lishuai Zhao, Hui Luo, Qijia Xing, Jun Wu, Yuanzhong Zhu, Wansong Xu, Wenjing He, Jianfang Wu
Study on the diagnostic value of MDCT extramural vascular invasion in preoperative N staging of gastric cancer patients
Zhengqi Zhu, Mimi Mao, Anyi Song, Haipeng Gong, Jianan Gu, Yongfeng Dai, Feng Feng
A hybrid deep CNN model for brain tumor image multi-classification
Saravanan Srinivasan, Divya Francis, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Basu Dev Shivahare, Mohd Asif Shah
Prediction of neoadjuvant chemotherapy pathological complete response for breast cancer based on radiomics nomogram of intratumoral and derived tissue
Guangying Zheng, Jie Hou, Zhenyu Shu, Jiaxuan Peng, Lu Han, Zhongyu Yuan, Xiaodong He, Xiangyang Gong
Elective one-minute full brain multi-contrast MRI versus brain CT in pediatric patients: a prospective feasibility study
Francesca De Luca, Annika Kits, Daniel Martin Muñoz, Åsa Aspelin, Ola Kvist, Yords Österman, Sandra Diaz Ruiz, Stefan Skare, Anna Falk Delgado
Medical image fusion based on machine learning for health diagnosis and monitoring of colorectal cancer
Yifeng Peng, Haijun Deng
Deep learning in computed tomography to predict endotype in chronic rhinosinusitis with nasal polyps
Weidong Du, Weipiao Kang, Shixin Lai, Zehong Cai, Yaowen Chen, Xiaolei Zhang, Yu Lin
Application of contrast-enhanced ultrasound in diagnosis and grading of bladder urothelial carcinoma
Hui-ping Zhang, Rong-xi Liang, Xue-ying Lin, En-sheng Xue, Qin Ye, Yi-fan Zhu
A gadoxetic acid-enhanced MRI-based model using LI-RADS v2018 features for preoperatively predicting Ki-67 expression in hepatocellular carcinoma
Yingying Liang, Fan Xu, Qiuju Mou, Zihua Wang, Chuyin Xiao, Tingwen Zhou, Nianru Zhang, Jing Yang, Hongzhen Wu
Performance of node reporting and data system (node-RADS): a preliminary study in cervical cancer
Qingxia Wu, Jianghua Lou, Jinjin Liu, Linxiao Dong, Qingxia Wu, Yaping Wu, Xuan Yu, Meiyun Wang
Preoperative evaluation of microvascular invasion in hepatocellular carcinoma with a radiological feature-based nomogram: a bi-centre study
Yuhui Deng, Dawei Yang, Xianzheng Tan, Hui Xu, Lixue Xu, Ahong Ren, Peng Liu, Zhenghan Yang
A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
Sunil Kumar, Harish Kumar, Gyanendra Kumar, Shailendra Pratap Singh, Anchit Bijalwan, Manoj Diwakar
Magnetic resonance imaging-based radiomics was used to evaluate the level of prognosis-related immune cell infiltration in breast cancer tumor microenvironment
Hua Qian, Xiaojing Ren, Maosheng Xu, Zhen Fang, Ruixin Zhang, Yangyang Bu, Changyu Zhou
Explainable deep-neural-network supported scheme for tuberculosis detection from chest radiographs
B. Uma Maheswari, Dahlia Sam, Nitin Mittal, Abhishek Sharma, Sandeep Kaur, S. S. Askar, Mohamed Abouhawwash
Machine learning-based MRI radiomics for assessing the level of tumor infiltrating lymphocytes in oral tongue squamous cell carcinoma: a pilot study
Jiliang Ren, Gongxin Yang, Yang Song, Chunye Zhang, Ying Yuan
Artifact suppression for breast specimen imaging in micro CBCT using deep learning
Sorapong Aootaphao, Puttisak Puttawibul, Pairash Thajchayapong, Saowapak S. Thongvigitmanee
EOS® is reliable to evaluate spinopelvic parameters: a validation study
Mohammadreza Shakeri, Seyed Mani Mahdavi, Masih Rikhtehgar, Mohammad Soleimani, Hasan Ghandhari, Behnam Jafari, Seyedehsan Daneshmand
Automated classification of liver fibrosis stages using ultrasound imaging
Hyun-Cheol Park, YunSang Joo, O-Joun Lee, Kunkyu Lee, Tai-Kyong Song, Chang Choi, Moon Hyung Choi, Changhan Yoon
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
Liuhong Zhu, Funan Wang, Heqing Wang, Jinhui Zhang, Anjie Xie, Jinkui Pei, Jianjun Zhou, Hao Liu
Multimodal Biomedical Image Segmentation using Multi-Dimensional U-Convolutional Neural Network
Saravanan Srinivasan, Kirubha Durairaju, K. Deeba, Sandeep Kumar Mathivanan, P. Karthikeyan, Mohd Asif Shah
Diagnostic performance of coronary computed tomography angiography stenosis score for coronary stenosis
Qing-feng Xiong, Xiao-rong Fu, Lei-zhi Ku, Di Zhou, Sheng-peng Guo, Wen-sheng Zhang
Quantitating myocardial fibrosis using extracellular extravascular volume determined from computed tomography myocardial perfusion imaging
Na Li, Xin Zhang, Jin Gu, Ming Yang, Lina Chen, Jie Yu, Heshui Shi
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
Greet Vanderlinden, Charles Carron, Rik Vandenberghe, Mathieu Vandenbulcke, Koen Van Laere
Ultrasound characteristics of normal parathyroid glands and analysis of the factors affecting their display
Cuiping Wu, Binyang Zhu, Song Kang, Shiyu Wang, Yingying Liu, Xue Mei, He Zhang, Shuangquan Jiang
Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep learning
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
Development of a multi-phase CT-based radiomics model to differentiate heterotopic pancreas from gastrointestinal stromal tumor
Kui Sun, Shuxia Yu, Ying Wang, Rongze Jia, Rongchao Shi, Changhu Liang, Ximing Wang, Haiyan Wang
CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer
Jiexiao Wang, Jialiang Wang, Xiang Huang, Yanfei Zhou, Jian Qi, Xiaojun Sun, Jinfu Nie, Zongtao Hu, Shujie Wang, Bo Hong, Hongzhi Wang
How to identify juxtaglomerular cell tumor by ultrasound: a case series and review of the literature
Li Wang, Meiying Li, Siqi Jin, Yunshu Ouyang, Fenglan Wang, Ke Lv, Jianchu Li, Yuxin Jiang, He Liu, Qingli Zhu
MTFN: multi-temporal feature fusing network with co-attention for DCE-MRI synthesis
Wei Li, Jiaye Liu, Shanshan Wang, Chaolu Feng
Clinical and multiparametric MRI features for differentiating uterine carcinosarcoma from endometrioid adenocarcinoma
Xiaodan Chen, Qingyong Guo, Xiaorong Chen, Wanjing Zheng, Yaqing Kang, Dairong Cao
Influence of spectral shaping and tube voltage modulation in ultralow-dose computed tomography of the abdomen
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
Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images
Minyue Yin, Chao Xu, Jinzhou Zhu, Yuhan Xue, Yijia Zhou, Yu He, Jiaxi Lin, Lu Liu, Jingwen Gao, Xiaolin Liu, Dan Shen, Cuiping Fu
PulmoNet: a novel deep learning based pulmonary diseases detection model
AbdulRahman Tosho Abdulahi, Roseline Oluwaseun Ogundokun, Ajiboye Raimot Adenike, Mohd Asif Shah, Yusuf Kola Ahmed
Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models
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 Rhode, Jo Hajnal, Mary A. Rutherford
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
Qing He, Yuqi Fan, Zuojun Xu, Junfeng Zhang
Transfer learning–based PET/CT three-dimensional convolutional neural network fusion of image and clinical information for prediction of EGFR mutation in lung adenocarcinoma
Xiaonan Shao, Xinyu Ge, Jianxiong Gao, Rong Niu, Yunmei Shi, Xiaoliang Shao, Zhenxing Jiang, Renyuan Li, Yuetao Wang
Development of a prediction model for facilitating the clinical application of transcranial color-coded duplex ultrasonography
Jieyu Duan, Pengfei Wang, Haoyu Wang, Wei Zhao
Deep learning–based automatic segmentation of meningioma from T1-weighted contrast-enhanced MRI for preoperative meningioma differentiation using radiomic features
Liping Yang, Tianzuo Wang, Jinling Zhang, Shi Kang, Shichuan Xu, Kezheng Wang
Evaluating the consistency in different methods for measuring left atrium diameters
Jun-Yan Yue, Kai Ji, Hai-Peng Liu, Qing-Wu Wu, Chang-Hua Liang, Jian-Bo Gao
A rapid multi-parametric quantitative MR imaging method to assess Parkinson’s disease: a feasibility study
Min Duan, Rongrong Pan, Qing Gao, Xinying Wu, Hai Lin, Jianmin Yuan, Yamei Zhang, Lindong Liu, Youyong Tian, Tong Fu
Artificial intelligence in tongue diagnosis: classification of tongue lesions and normal tongue images using deep convolutional neural network
Burcu Tiryaki, Kubra Torenek-Agirman, Ozkan Miloglu, Berfin Korkmaz, İbrahim Yucel Ozbek, Emin Argun Oral
A noninvasive method for predicting clinically significant prostate cancer using magnetic resonance imaging combined with PRKY promoter methylation level: a machine learning study
Yufei Wang, Weifeng Liu, Zeyu Chen, Yachen Zang, Lijun Xu, Zheng Dai, Yibin Zhou, Jin Zhu
Hybrid transformer convolutional neural network-based radiomics models for osteoporosis screening in routine CT
Jiachen Liu, Huan Wang, Xiuqi Shan, Lei Zhang, Shaoqian Cui, Zelin Shi, Yunpeng Liu, Yingdi Zhang, Lanbo Wang
Unified deep learning models for enhanced lung cancer prediction with ResNet-50–101 and EfficientNet-B3 using DICOM images
Vinod Kumar, Chander Prabha, Preeti Sharma, Nitin Mittal, S. S. Askar, Mohamed Abouhawwash
Combining radiomics with thyroid imaging reporting and data system to predict lateral cervical lymph node metastases in medullary thyroid cancer
Zhiqiang Liu, Xiwei Zhang, Xiaohui Zhao, Qianqian Guo, Zhengjiang Li, Minghui Wei, Lijuan Niu, Changming An
Development and validation of a multi-modal ultrasomics model to predict response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
Qiong Qin, Xiangyu Gan, Peng Lin, Jingshu Pang, Ruizhi Gao, Rong Wen, Dun Liu, Quanquan Tang, Changwen Liu, Yun He, Hong Yang, Yuquan Wu
Altered trends of local brain function in classical trigeminal neuralgia patients after a single trigger pain
Juncheng Yan, Luoyu Wang, Lei Pan, Haiqi Ye, Xiaofen Zhu, Qi Feng, Haibin Wang, Zhongxiang Ding, Xiuhong Ge
Contrast-enhanced to non-contrast-enhanced image translation to exploit a clinical data warehouse of T1-weighted brain MRI
Simona Bottani, Elina Thibeau-Sutre, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos
Malignancy diagnosis of liver lesion in contrast enhanced ultrasound using an end-to-end method based on deep learning
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
Predictive value of cyst/tumor volume ratio of pituitary adenoma for tumor cell proliferation
Jianwu Wu, Fangfang Zhang, Yinxing Huang, Liangfeng Wei, Tao Mei, Shousen Wang, Zihuan Zeng, Wei Wang
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
Ezgi Suat Bayraktar, Gokhan Duygulu, Yusuf Kenan Çetinoğlu, Mustafa Fazıl Gelal, Melda Apaydın, Hülya Ellidokuz
Characteristics of high frame frequency contrast-enhanced ultrasound in renal tumors
WeiPing Zhang, JingLing Wang, Li Chen
Classification of cognitive ability of healthy older individuals using resting-state functional connectivity magnetic resonance imaging and an extreme learning machine
Shiying Zhang, Manling Ge, Hao Cheng, Shenghua Chen, Yihui Li, Kaiwei Wang
Correction: Evaluating renal iron overload in diabetes mellitus by blood oxygen level-dependent magnetic resonance imaging: a longitudinal experimental study
Weiwei Geng, Liang Pan, Liwen Shen, Yuanyuan Sha, Jun Sun, Shengnan Yu, Jianguo Qiu, Wei Xing
The value of a neural network based on multi-scale feature fusion to ultrasound images for the differentiation in thyroid follicular neoplasms
Weiwei Chen, Xuejun Ni, Cheng Qian, Lei Yang, Zheng Zhang, Mengdan Li, Fanlei Kong, Mengqin Huang, Maosheng He, Yifei Yin
The use of individual-based FDG-PET volume of interest in predicting conversion from mild cognitive impairment to dementia
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
Dynamic contrast-enhanced MR imaging in identifying active anal fistula after surgery
Weiping Lu, Xiaoyan Li, Wenwen Liang, Kai Chen, Xinyue Cao, Xiaowen Zhou, Ying Wang, Bingcang Huang
Preoperative prediction of microsatellite instability status in colorectal cancer based on a multiphasic enhanced CT radiomics nomogram model
Xuelian Bian, Qi Sun, Mi Wang, Hanyun Dong, Xiaoxiao Dai, Liyuan Zhang, Guohua Fan, Guangqiang Chen
Renal interstitial fibrotic assessment using non-Gaussian diffusion kurtosis imaging in a rat model of hyperuricemia
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
A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound
Blake VanBerlo, Jesse Hoey, Alexander Wong
Dynamic radiomics based on contrast-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma
Rui Zhang, Yao Wang, Zhi Li, Yushu Shi, Danping Yu, Qiang Huang, Feng Chen, Wenbo Xiao, Yuan Hong, Zhan Feng
Correction: Evaluating the consistency in different methods for measuring left atrium diameters
Jun-Yan Yue, Kai Ji, Hai-Peng Liu, Qing-Wu Wu, Chang-Hua Liang, Jian-Bo Gao
Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer
S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, Suresh Guluwadi
Deep learning-based image annotation for leukocyte segmentation and classification of blood cell morphology
Vatsala Anand, Sheifali Gupta, Deepika Koundal, Wael Y. Alghamdi, Bayan M. Alsharbi
Radiomics-based discrimination of coronary chronic total occlusion and subtotal occlusion on coronary computed tomography angiography
Jun Li, Lichen Ren, Hehe Guo, Haibo Yang, Jingjing Cui, Yonggao Zhang
Amide proton transfer weighted and diffusion weighted imaging based radiomics classification algorithm for predicting 1p/19q co-deletion status in low grade gliomas
Andong Ma, Xinran Yan, Yaoming Qu, Haitao Wen, Xia Zou, Xinzi Liu, Mingjun Lu, Jianhua Mo, Zhibo Wen
Remote sensing image information extraction based on Compensated Fuzzy Neural Network and big data analytics
Rui Sun, Zhengyin Zhang, Yajun Liu, Xiaohang Niu, Jie Yuan
Role of radiomics in staging liver fibrosis: a meta-analysis
Xiao-min Wang, Xiao-jing Zhang
The feasibility of half-dose contrast-enhanced scanning of brain tumours at 5.0 T: a preliminary study
Zhiyong Jiang, Wenbo Sun, Dan Xu, Hao Mei, Jianmin Yuan, Xiaopeng Song, Chao Ma, Haibo Xu
Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study
Yangchun Du, Wenwen Guo, Yanju Xiao, Haining Chen, Jinxiu Yao, Ji Wu
Construction of a nomogram for predicting compensated cirrhosis with Wilson’s disease based on non-invasive indicators
Yan Li, Jing Ping Wang, Xiaoli Zhu
Lymph node metastasis prediction and biological pathway associations underlying DCE-MRI deep learning radiomics in invasive breast cancer
Wenci Liu, Wubiao Chen, Jun Xia, Zhendong Lu, Youwen Fu, Yuange Li, Zhi Tan
Deep learning model for pleural effusion detection via active learning and pseudo-labeling: a multisite study
Joseph Chang, Bo-Ru Lin, Ti-Hao Wang, Chung-Ming Chen
Comparison of vestibular aqueduct visualization on computed tomography and magnetic resonance imaging in patients with Ménière’s disease
Kaijun Xia, Ping Lei, Yingzhao Liu, Cen Chen, Hui Pan, Yangming Leng, Bo Liu
Kidney dynamic SPECT acquisition on a CZT swiveling-detector ring camera: an in vivo pilot study
Michel Hesse, Florian Dupont, Nizar Mourad, Pavel Babczenko, Gwen Beaurin, Daela Xhema, Eliano Bonaccorsi-Riani, François Jamar, Renaud Lhommel
Imaging segmentation mechanism for rectal tumors using improved U-Net
Kenan Zhang, Xiaotang Yang, Yanfen Cui, Jumin Zhao, Dengao Li
MRCT and CT in the diagnosis of pediatric disease imaging: assessing imaging performance and clinical effects
Xiaofei Wang, Wen Hu
Quantitative analysis of the eyelid curvature in patients with blepharoptosis
Elias Khalili Pour, Tahereh Mahmoudi, Hooman Ahmadzadeh, Seyed Mohsen Rafizadeh, Hamid Riazi-Esfahani
Predicting preoperative muscle invasion status for bladder cancer using computed tomography-based radiomics nomogram
Rui Zhang, Shijun Jia, Linhan Zhai, Feng Wu, Shuang Zhang, Feng Li
Clinical application of computed tomographic volumetric imaging in postoperative lung function assessment in patients with lung cancer
Zhifu Xu, Xili Wang, Zhanxian Shen, Biao Shi, Yanni Zhang
Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics
J. Satheesh Kumar, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, P. Prabhavathy, K. Manikandan, Suresh Guluwadi
Automated region growing-based segmentation for trabecular bone structure in fresh-frozen human wrist specimens
Eva Klintström, Benjamin Klintström, Örjan Smedby, Rodrigo Moreno
Clinical application of high-resolution spiral CT scanning in the diagnosis of auriculotemporal and ossicle
Qinfang Cai, Peishan Zhang, Fengmei Xie, Zedong Zhang, Bo Tu
Predicting Alzheimer’s progression in MCI: a DTI-based white matter network model
Qiaowei Song, Jiaxuan Peng, Zhenyu Shu, Yuyun Xu, Yuan Shao, Wen Yu, Liang Yu
Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2–4 glioma patients: a deep Radiomics Approach
Jialin Yuan, Loizos Siakallis, Hongwei Bran Li, Sebastian Brandner, Jianguo Zhang, Chenming Li, Laura Mancini, Sotirios Bisdas
Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework
Syed Thouheed Ahmed, T. R. Mahesh, E. Srividhya, V. Vinoth Kumar, Surbhi Bhatia Khan, Abdullah Albuali, Ahlam Almusharraf
Retraction Note: CT, MRI, and 18F-FDG PET/CT imaging features of seven cases of adult pancreatoblastoma
Mengnan Wu, Jiongbin Lin, Zhuangsheng Liu, Zhiming Huang, Ruoning Wang
Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50
Mohamed Musthafa M, Mahesh T. R, Vinoth Kumar V, Suresh Guluwadi
Axillary lymph node metastasis in pure mucinous carcinoma of breast: clinicopathologic and ultrasonographic features
Na Li, Jia-Wei Li, Yu Qian, Ya-Jing Liu, Xiu-Zhu Qi, Ya-Ling Chen, Yi Gao, Cai Chang
Measurement of distances and locations of thoracic and lumbar vertebral bodies from CT scans in cases of spinal deformation
Alexander T. D. Grünwald, Susmita Roy, Renée Lampe
Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor
Eid Albalawi, Mahesh T.R., Arastu Thakur, V. Vinoth Kumar, Muskan Gupta, Surbhi Bhatia Khan, Ahlam Almusharraf
The value of fetal magnetic resonance imaging in diagnosis of congenital anomalies of the fetal body: a systematic review and meta-analysis
Louise Wilson, Elspeth H. Whitby
A multi-view fusion lightweight network for CRSwNPs prediction on CT images
Jisheng Zou, Yi Lyu, Yu Lin, Yaowen Chen, Shixin Lai, Siqi Wang, Xuan Zhang, Xiaolei Zhang, Renhua Wu, Weipiao Kang
MRI reconstruction with enhanced self-similarity using graph convolutional network
Qiaoyu Ma, Zongying Lai, Zi Wang, Yiran Qiu, Haotian Zhang, Xiaobo Qu
Image fusion-based low-dose CBCT enhancement method for visualizing miniscrew insertion in the infrazygomatic crest
Peipei Sun, Jinghui Yang, Xue Tian, Guohua Yuan
Predictive value of Cmmi-MHR combined with thromboelastography parameters in acute cerebral infarction
Zhongxian Rao, Wei Tan, Junmin Wang, You Zhou, Xue Yang, Shanshan Hu