Year |
Citation |
Score |
2019 |
Zhang G, Shen X, Chen S, Liang L, Luo Y, Yu J, Lu J. DSM: A Deep Supervised Multi-Scale Network Learning for Skin Cancer Segmentation Ieee Access. 7: 140936-140945. DOI: 10.1109/Access.2019.2943628 |
0.315 |
|
2019 |
Zhang G, Wang W, Yang D, Luo J, He P, Wang Y, Luo Y, Zhao B, Lu J. A Bi-Attention Adversarial Network for Prostate Cancer Segmentation Ieee Access. 7: 131448-131458. DOI: 10.1109/Access.2019.2939389 |
0.364 |
|
2018 |
Lu J, Xu Y, Chen M, Luo Y. A Coarse-to-Fine Fully Convolutional Neural Network for Fundus Vessel Segmentation Symmetry. 10: 607. DOI: 10.3390/Sym10110607 |
0.311 |
|
2018 |
Zhu D, Dai L, Luo Y, Zhang G, Shao X, Itti L, Lu J. Multi-Scale Adversarial Feature Learning for Saliency Detection Symmetry. 10: 457. DOI: 10.3390/Sym10100457 |
0.555 |
|
2018 |
Zhu D, Luo Y, Dai L, Shao X, Zhou Q, Itti L, Lu J. Salient object detection via a local and global method based on deep residual network Journal of Visual Communication and Image Representation. 54: 1-9. DOI: 10.1016/J.Jvcir.2018.03.017 |
0.574 |
|
2018 |
Zhang G, Zhu D, Liu X, Chen M, Itti L, Luo Y, Lu J. Multi-scale pulmonary nodule classification with deep feature fusion via residual network Journal of Ambient Intelligence and Humanized Computing. 1-12. DOI: 10.1007/S12652-018-1132-5 |
0.552 |
|
2017 |
Zhu D, Dai L, Shao X, Zhou Q, Itti L, Luo Y, Lu J. Image salient object detection with refined deep features via convolution neural network Journal of Electronic Imaging. 26: 1. DOI: 10.1117/1.Jei.26.6.063018 |
0.576 |
|
2014 |
Xiao G, Xu G, Liu X, Xu J, Wang F, Li L, Itti L, Lu J. Feature-based attention is independent of object appearance. Journal of Vision. 14. PMID 24396046 DOI: 10.1167/14.1.3 |
0.56 |
|
2005 |
Lu J, Itti L. Perceptual consequences of feature-based attention. Journal of Vision. 5: 622-31. PMID 16231997 DOI: 10.1167/5.7.2 |
0.531 |
|
2005 |
Lu J, Yakupov R, Lozar C, Chang L, Ernst T, Itti L. Feature-based attention is also object-based Journal of Vision. 5: 1034-1034. DOI: 10.1167/5.8.1034 |
0.546 |
|
Show low-probability matches. |