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Publication search results
found 30 matches
- 2024
- Guoming Xu, Ang Cao, Feng Wang, Jian Ma, Yi Li:
Polarization imaging shadow removal based on attention conditional generative adversarial networks. J. Electronic Imaging 33(1) (2024) - 2023
- Jiachen Tan, Yongquan Dong, Junchi Li:
Automated fundus ultrasound image classification based on siamese convolutional neural networks with multi-attention. BMC Medical Imaging 23(1): 89 (2023) - Jianhai Zhang, Fouzi Bala, Petra Cimflova, Nishita Singh, Faysal Benali, Michael D. Hill, Bijoy K. Menon, Wu Qiu:
SPD matrices representing artery anatomy for first-pass effect prediction by aggregated networks with multi-scale attentions. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1172-1177 (2023) - Wei Guo, Shijie Liu, Zhaoxuan Gong, Guodong Zhang, Xiran Jiang:
Cascaded networks for the embryo classification on microscopic images using the residual external-attention. Int. J. Imaging Syst. Technol. 33(1): 312-322 (2023) - Ying Ma, Jiabao Jin, Guanping Xu, Ao Wang, Yinran Chen, Weijie Ouyang, Xiang Lin, Zuguo Liu, Xiongbiao Luo:
Densely encoded attention networks for accurate retinal layers segmentation in optical coherence tomography. Medical Imaging: Computer-Aided Diagnosis 2023 - Amr S. Elsawy, Tiarnan D. Kenan, Qingyu Chen, Xiaoshuang Shi, Emily Y. Chew, Zhiyong Lu:
Attention-based 3D convolutional networks for detection of geographic atrophy from optical coherence tomography scans. Medical Imaging: Image Processing 2023 - Syed Nouman Hasany, Caroline Petitjean, Fabrice Mériaudeau:
A study of attention information from transformer layers in hybrid medical image segmentation networks. Medical Imaging: Image Processing 2023 - Steven A. Lewis, Scott Doyle:
Attention-guided single-voxel attacks for 3-dimensional neural networks: experiments with post-mortem CT segmentation. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - 2022
- América Bueno, Ignacio Bosch, Alejandro Rodríguez, Ana Jiménez, Joan Carreres, Matías Fernández, Luis Martí-Bonmatí, Angel Alberich-Bayarri:
Automated Cervical Spinal Cord Segmentation in Real-World MRI of Multiple Sclerosis Patients by Optimized Hybrid Residual Attention-Aware Convolutional Neural Networks. J. Digit. Imaging 35(5): 1131-1142 (2022) - Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Qingqing Chen, Fang Wang, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen:
Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2512-2526 (2022) - Yaochen Xie, Yu Ding, Shuiwang Ji:
Augmented Equivariant Attention Networks for Microscopy Image Transformation. IEEE Trans. Medical Imaging 41(11): 3194-3206 (2022) - 2021
- Shereen Fouad, Gabriel Landini, Max Robinson, Tzu-Hsi Song, Hisham Mehanna:
Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks. Comput. Medical Imaging Graph. 88: 101853 (2021) - Tahereh Hassanzadeh, Daryl Essam, Ruhul A. Sarker:
Evolutionary Deep Attention Convolutional Neural Networks for 2D and 3D Medical Image Segmentation. J. Digit. Imaging 34(6): 1387-1404 (2021) - Hang Chen, Weiguo Zhang, Danghui Yan:
SiamPAT: Siamese point attention networks for robust visual tracking. J. Electronic Imaging 30(5) (2021) - Wenqi Shi, Li Tong, Yuanda Zhu, May D. Wang:
COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks. IEEE J. Biomed. Health Informatics 25(7): 2376-2387 (2021) - Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. IEEE Trans. Medical Imaging 40(2): 699-711 (2021) - Xiong Zhang, Zefang Han, Hong Shangguan, Xinglong Han, Xueying Cui, Anhong Wang:
Artifact and Detail Attention Generative Adversarial Networks for Low-Dose CT Denoising. IEEE Trans. Medical Imaging 40(12): 3901-3918 (2021) - Yang Lei, Tonghe Wang, Sibo Tian, Yabo Fu, Pretesh Patel, Ashesh B. Jani, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Multi-organ segmentation of male pelvic CT using dual attention networks. Medical Imaging: Image-Guided Procedures 2021 - Nils Hampe, Jelmer M. Wolterink, Carlos Collet, Nils Planken, Ivana Isgum:
Graph attention networks for segment labeling in coronary artery trees. Medical Imaging: Image Processing 2021 - 2020
- Yan-Jie Zhou, Xiao-Liang Xie, Xiao-Hu Zhou, Shi-Qi Liu, Gui-Bin Bian, Zeng-Guang Hou:
Pyramid attention recurrent networks for real-time guidewire segmentation and tracking in intraoperative X-ray fluoroscopy. Comput. Medical Imaging Graph. 83: 101734 (2020) - Qingqing Huang, Fengyu Zhou, Jiakai He, Yang Zhao, Runze Qin:
Spatial-temporal graph attention networks for skeleton-based action recognition. J. Electronic Imaging 29(5): 053003 (2020) - Cunyi Lin, Xianwei Rong, Ming Liu, Xiaoyan Yu:
Attn-Eh ALN: complex text-to-image generation with attention-enhancing adversarial learning networks. J. Electronic Imaging 29(6): 063014 (2020) - Gozde Nur Gunesli, Cenk Sokmensuer, Cigdem Gunduz Demir:
AttentionBoost: Learning What to Attend for Gland Segmentation in Histopathological Images by Boosting Fully Convolutional Networks. IEEE Trans. Medical Imaging 39(12): 4262-4273 (2020) - Liang Sun, Wei Shao, Daoqiang Zhang, Mingxia Liu:
Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images. IEEE Trans. Medical Imaging 39(6): 2000-2012 (2020) - Seyed Saman Saboksayr, John J. Foxe, Axel Wismüller:
Attention-deficit/hyperactivity disorder prediction using graph convolutional networks. Medical Imaging: Computer-Aided Diagnosis 2020 - Xiuxiu He, Yang Lei, Yabo Fu, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Super-resolution magnetic resonance imaging reconstruction using deep attention networks. Medical Imaging: Image Processing 2020: 113132J - 2019
- Yinghui Kong, Li Li, Ke Zhang, Qiang Ni, Jungong Han:
Attention module-based spatial-temporal graph convolutional networks for skeleton-based action recognition. J. Electronic Imaging 28(4): 043032 (2019) - Lin Qi, Tiezhu Wang:
Widget Detection Network: widget detection in mobile screenshot with region-based attention networks. J. Electronic Imaging 28(6): 063006 (2019) - Li Zhu, Weike Chang:
Application of Deep Convolutional Neural Networks in Attention-Deficit/Hyperactivity Disorder Classification: Data Augmentation and Convolutional Neural Network Transfer Learning. J. Medical Imaging Health Informatics 9(8): 1717-1724 (2019) - 2012
- Michael I. Posner:
Imaging attention networks. NeuroImage 61(2): 450-456 (2012)
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