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BMC 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, Cheng-Zhong Xu, 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
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