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Publication search results
found 5,603 matches
- 2025
- Liwei Deng, Henan Sun, Sijuan Huang, Xin Yang, Jing Wang:
Research on multi-sequence MR image synthesis CT algorithm based on unsupervised method. Biomed. Signal Process. Control. 99: 106819 (2025) - S. R. Vijayakumar, S. Aarthy, D. Deepa, P. Suresh:
Sustainable framework for automated segmentation and prediction of lung cancer in CT image using CapsNet with U-net segmentation. Biomed. Signal Process. Control. 99: 106873 (2025) - Hengjie Liu, Elizabeth McKenzie, Di Xu, Qifan Xu, Robert K. Chin, Dan Ruan, Ke Sheng:
MUsculo-Skeleton-Aware (MUSA) deep learning for anatomically guided head-and-neck CT deformable registration. Medical Image Anal. 99: 103351 (2025) - Youjian Zhang, Li Li, Jie Wang, Xinquan Yang, Haotian Zhou, Jiahui He, Yaoqin Xie, Yuming Jiang, Wei Sun, Xinyuan Zhang, Guanqun Zhou, Zhicheng Zhang:
Texture-preserving diffusion model for CBCT-to-CT synthesis. Medical Image Anal. 99: 103362 (2025) - 2024
- Pritpal Singh:
Biomedical Image Analysis - Special Applications in MRIs and CT scans. Springer 2024, ISBN 978-981-99-9938-5, pp. 1-166 - Giuseppe Pezzano:
Optimization of neural networks for deep learning and applications to CT image segmentation. University of Barcelona, Spain, 2024 - Tugrul Hakan Gençtürk, Fidan Kaya Gülagiz, Ismail Kaya:
Detection and Segmentation of Subdural Hemorrhage on Head CT Images. IEEE Access 12: 82235-82246 (2024) - Aparna M. Harale, Vinayak K. Bairagi, Ekkarat Boonchieng, Mrinal Rahul Bachute:
Nodules Detection in Lungs CT Images Using Improved YOLOV5 and Classification of Types of Nodules by CNN-SVM. IEEE Access 12: 140456-140471 (2024) - Md. Zahid Hasan, Sidratul Montaha, Inam Ullah Khan, Md. Mehedi Hassan, Abdullah Al Mahmud, A. K. M. Rakibul Haque Rafid, Sami Azam, Asif Karim, Spyridon Prountzos, Efthymia Alexopoulou, Umama Binta Ashraf, Sheikh Mohammed Shariful Islam:
Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images. IEEE Access 12: 31117-31135 (2024) - Masahiro Kawamoto, Naoki Kamiya, Xiangrong Zhou, Hiroki Kato, Takeshi Hara, Hiroshi Fujita:
Simultaneous Learning of Erector Spinae Muscles for Automatic Segmentation of Site-Specific Skeletal Muscles in Body CT Images. IEEE Access 12: 15468-15476 (2024) - Yiqiao Liu, Sarah Halek, Randolph Crawford, Keith Persson, Michal Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen:
3D Segmentation of Necrotic Lung Lesions in CT Images Using Self-Supervised Contrastive Learning. IEEE Access 12: 32859-32869 (2024) - Na Liu, Zhonghua Lu, Wenyong Lian, Min Tian, Chiyue Ma, Lijuan Peng:
HMSAM-UNet: A Hierarchical Multi-Scale Attention Module-Based Convolutional Neural Network for Improved CT Image Segmentation. IEEE Access 12: 79415-79427 (2024) - Chiyu Liu, Cunjie Sun:
A Fusion Deep Learning Model of ResNet and Vision Transformer for 3D CT Images. IEEE Access 12: 93389-93397 (2024) - Chandrakanta Mahanty, S. Gopal Krishna Patro, Sandeep Rathor, Venubabu Rachapudi, Jnanaranjan Mohanty, Khursheed Muzammil, Saiful Islam, Wahaj Ahmad Khan:
A Comprehensive Review on COVID-19 Detection Based on Cough Sounds, Symptoms, CXR, and CT Images. IEEE Access 12: 75412-75425 (2024) - Junjie Peng, Wenbin Li, Suyu Liao, Yining Zhu:
Microcrack Segmentation of 3D CT Images Based on Multi-Task Learning. IEEE Access 12: 138192-138200 (2024) - Perumalla Suman Prakash, P. Kiran Rao, Erukala Suresh Babu, Surbhi Bhatia Khan, Ahlam Almusharraf, Mohammad Tabrez Quasim:
Decoupled SculptorGAN Framework for 3D Reconstruction and Enhanced Segmentation of Kidney Tumors in CT Images. IEEE Access 12: 62189-62198 (2024) - Jagath C. Rajapakse, Chun Hung How, Yi Hao Chan, Luke Chin Peng Hao, Abhinandan Padhi, Vivek Adrakatti, Iram Rais Alam Khan, Tchoyoson Lim:
Two-Stage Approach to Intracranial Hemorrhage Segmentation From Head CT Images. IEEE Access 12: 60839-60848 (2024) - Yanling Wang, Zefang Han, Xiong Zhang, Hong Shangguan, Pengcheng Zhang, Jie Li, Ning Xiao:
Scale-Sensitive Generative Adversarial Network for Low-Dose CT Image Denoising. IEEE Access 12: 98693-98706 (2024) - Muhammad Zubair, Helmi Md Rais, Fasee Ullah, Qasem Al-Tashi, Muhammad Faheem, Arfat Ahmad Khan:
Enabling Predication of the Deep Learning Algorithms for Low-Dose CT Scan Image Denoising Models: A Systematic Literature Review. IEEE Access 12: 79025-79050 (2024) - Xiaoqian Zhang, Lei Pu, Liming Wan, Xiao Wang, Ying Zhou:
DS-MSFF-Net: Dual-path self-attention multi-scale feature fusion network for CT image segmentation. Appl. Intell. 54(6): 4490-4506 (2024) - Burhan Ul Haque Sheikh:
Mitigating adversarial threats in deep CT image diagnosis models via a dual-stage inference-time defense. Appl. Soft Comput. 163: 111909 (2024) - 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. BMC Medical Imaging 24(1): 169 (2024) - 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. BMC Medical Imaging 24(1): 129 (2024) - Viswanath Muthukrishnan, Sandeep Jaipurkar, Nedumaran Damodaran:
Continuum topological derivative - a novel application tool for denoising CT and MRI medical images. BMC Medical Imaging 24(1): 182 (2024) - Anindita Saha, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Rakesh Kumar Yadav, Saurav Mallik, Zhongming Zhao:
VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images. BMC Medical Imaging 24(1): 120 (2024) - Anindita Saha, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Rakesh Kumar Yadav, Saurav Mallik, Zhongming Zhao:
Correction: VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images. BMC Medical Imaging 24(1): 128 (2024) - Xiaonan Shao, Xinyu Ge, Jianxiong Gao, Rong Niu, Yunmei Shi, Xiaoliang Shao, Zhenxing Jiang, Renyuan Li, Yuetao Wang:
Transfer learning-based PET/CT three-dimensional convolutional neural network fusion of image and clinical information for prediction of EGFR mutation in lung adenocarcinoma. BMC Medical Imaging 24(1): 54 (2024) - 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. BMC Medical Imaging 24(1): 204 (2024) - 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. BMC Medical Imaging 24(1): 193 (2024) - 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. BMC Medical Imaging 24(1): 50 (2024)
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