| Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images N Mu, H Wang, Y Zhang, J Jiang, J Tang Pattern Recognition 120, 108168, 2021 | 59 | 2021 |
| An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms N Mu, Z Lyu, M Rezaeitaleshmahalleh, J Tang, J Jiang Medical image analysis 84, 102697, 2023 | 28 | 2023 |
| Eye-gaze tracking system by haar cascade classifier Y Li, X Xu, N Mu, L Chen 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA …, 2016 | 28 | 2016 |
| Salient object detection using a covariance-based CNN model in low-contrast images N Mu, X Xu, X Zhang, H Zhang Neural Computing and Applications 29, 181-192, 2018 | 27 | 2018 |
| Salient object detection from distinctive features in low contrast images X Xu, N Mu, H Zhang, X Fu 2015 IEEE international conference on image processing (ICIP), 3126-3130, 2015 | 25 | 2015 |
| Hierarchical salient object detection model using contrast-based saliency and color spatial distribution X Xu, N Mu, L Chen, X Zhang Multimedia Tools and Applications 75, 2667-2679, 2016 | 21 | 2016 |
| Discrete stationary wavelet transform based saliency information fusion from frequency and spatial domain in low contrast images N Mu, X Xu, X Zhang, X Lin Pattern Recognition Letters 115, 84-91, 2018 | 15 | 2018 |
| Saliency detection based on the combination of high-level knowledge and low-level cues in foggy images X Zhu, X Xu, N Mu Entropy 21 (4), 374, 2019 | 14 | 2019 |
| Covariance descriptor based convolution neural network for saliency computation in low contrast images X Xu, N Mu, X Zhang, B Li 2016 International Joint Conference on Neural Networks (IJCNN), 616-623, 2016 | 12 | 2016 |
| Salient object detection in low contrast images via global convolution and boundary refinement N Mu, X Xu, X Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 11 | 2019 |
| Automatic segmentation of abdominal aortic aneurysms from CT angiography using a context-aware cascaded U-Net N Mu, Z Lyu, M Rezaeitaleshmahalleh, X Zhang, T Rasmussen, ... Computers in Biology and Medicine 158, 106569, 2023 | 10 | 2023 |
| Finding autofocus region in low contrast surveillance images using CNN-based saliency algorithm N Mu, X Xu, X Zhang Pattern Recognition Letters 125, 124-132, 2019 | 9 | 2019 |
| Radiomic-based textural analysis of intraluminal thrombus in aortic abdominal aneurysms: A demonstration of automated workflow M Rezaeitaleshmahalleh, N Mu, Z Lyu, W Zhou, X Zhang, TE Rasmussen, ... Journal of cardiovascular translational research 16 (5), 1123-1134, 2023 | 5 | 2023 |
| Video salient object detection network with bidirectional memory and spatiotemporal constraints H Wang, N Mu, Y Zhang 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 5 | 2021 |
| USING CONVOLUTIONAL NEURAL NETWORK-BASED SEGMENTATION FOR IMAGE-BASED COMPUTATIONAL FLUID DYNAMICS SIMULATIONS OF BRAIN ANEURYSMS: INITIAL EXPERIENCE IN AUTOMATED MODEL CREATION. M Rezaeitaleshmahalleh, Z Lyu, NAN Mu, J Jiang Journal of Mechanics in Medicine and Biology 23 (4), 2340055-2340055, 2023 | 4 | 2023 |
| Remote sensing image scene classification based on scale-attention network X BIAN, X FEI, N MU Journal of Computer Applications 40 (3), 872, 2020 | 4 | 2020 |
| Optimal feature selection for saliency seed propagation in low contrast images N Mu, X Xu, X Zhang Advances in Multimedia Information Processing–PCM 2018: 19th Pacific-Rim …, 2018 | 4 | 2018 |
| Can we explain machine learning-based prediction for rupture status assessments of intracranial aneurysms? N Mu, M Rezaeitaleshmahalleh, Z Lyu, M Wang, J Tang, CM Strother, ... Biomedical Physics & Engineering Express 9 (3), 037001, 2023 | 3 | 2023 |
| A spatial-frequency-temporal domain based saliency model for low contrast video sequences N Mu, X Xu, X Zhang Journal of Visual Communication and Image Representation 58, 79-88, 2019 | 3 | 2019 |
| Estimation of Local and Global Superpixel Covariance for Salient Object Detection in Low Contrast Images N Mu, X Xu, X Zhang Proceedings of the 9th International Conference on Machine Learning and …, 2017 | 3 | 2017 |
