| Deep CNNs for microscopic image classification by exploiting transfer learning and feature concatenation LD Nguyen, D Lin, Z Lin, J Cao 2018 IEEE international symposium on circuits and systems (ISCAS), 1-5, 2018 | 331 | 2018 |
| Biomedical image classification based on a feature concatenation and ensemble of deep CNNs LD Nguyen, R Gao, D Lin, Z Lin Journal of Ambient Intelligence and Humanized Computing, 1-13, 2023 | 58 | 2023 |
| RefineU-Net: Improved U-Net with progressive global feedbacks and residual attention guided local refinement for medical image segmentation D Lin, Y Li, TL Nwe, S Dong, ZM Oo Pattern Recognition Letters 138, 267-275, 2020 | 48 | 2020 |
| CAM-guided Multi-Path Decoding U-Net with Triplet Feature Regularization for defect detection and segmentation D Lin, Y Li, S Prasad, TL Nwe, S Dong, ZM Oo Knowledge-Based Systems 228, 107272, 2021 | 42 | 2021 |
| Biomedical image classification based on a cascade of an SVM with a reject option and subspace analysis D Lin, L Sun, KA Toh, JB Zhang, Z Lin Computers in biology and medicine 96, 128-140, 2018 | 33 | 2018 |
| maskedfacenet: A progressive semi-supervised masked face detector S Prasad, Y Li, D Lin, D Sheng Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 28 | 2021 |
| CAM-UNET: class activation MAP guided UNET with feedback refinement for defect segmentation D Lin, Y Li, S Prasad, TL Nwe, S Dong, ZM Oo 2020 IEEE International Conference on Image Processing (ICIP), 2131-2135, 2020 | 28 | 2020 |
| An effective industrial defect classification method under the few-shot setting via two-stream training Y Cao, W Zhu, J Yang, G Fu, D Lin, Y Cao Optics and Lasers in Engineering 161, 107294, 2023 | 20 | 2023 |
| Few-shot defect segmentation leveraging abundant defect-free training samples through normal background regularization and crop-and-paste operation D Lin, Y Cao, W Zhu, Y Li 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 18 | 2021 |
| Improving 3d brain tumor segmentation with predict-refine mechanism using saliency and feature maps TL Nwe, OZ Min, S Gopalakrishnan, D Lin, S Prasad, S Dong, Y Li, ... 2020 IEEE International conference on image processing (ICIP), 2671-2675, 2020 | 18 | 2020 |
| Multi-view 3D object retrieval leveraging the aggregation of view and instance attentive features D Lin, Y Li, Y Cheng, S Prasad, TL Nwe, S Dong, A Guo Knowledge-Based Systems 247, 108754, 2022 | 16 | 2022 |
| Twin SVM with a reject option through ROC curve D Lin, L Sun, KA Toh, JB Zhang, Z Lin Journal of the Franklin Institute 355 (4), 1710-1732, 2018 | 15 | 2018 |
| LLC encoded BoW features and softmax regression for microscopic image classification D Lin, Z Lin, L Sun, KA Toh, J Cao 2017 IEEE international symposium on circuits and systems (ISCAS), 1-4, 2017 | 15 | 2017 |
| Ddr-id: Dual deep reconstruction networks based image decomposition for anomaly detection D Lin, Y Li, S Xie, TL Nwe, S Dong Journal of Ambient Intelligence and Humanized Computing 14 (3), 2125-2139, 2023 | 13 | 2023 |
| Few-shot defect segmentation leveraging abundant normal training samples through normal background regularization and crop-and-paste operation D Lin, Y Cao, W Zhu, Y Li arXiv preprint arXiv:2007.09438, 2020 | 9 | 2020 |
| Multi-range view aggregation network with vision transformer feature fusion for 3D object retrieval D Lin, Y Li, Y Cheng, S Prasad, A Guo, Y Cao IEEE Transactions on Multimedia 25, 9108-9119, 2023 | 8 | 2023 |
| MLSA-UNet: End-to-End multi-level spatial attention guided UNet for industrial defect segmentation D Lin, Y Cheng, Y Li, S Prasad, A Guo 2022 IEEE International Conference on Image Processing (ICIP), 441-445, 2022 | 7 | 2022 |
| Meta module generation for fast few-shot incremental learning S Xie, Y Li, D Lin, T Lay Nwe, S Dong Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 7 | 2019 |
| Multicomponent signal decomposition using morphological operations H Zhuang, BS Oh, D Lin, KA Toh, Z Lin 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 1-5, 2018 | 7 | 2018 |
| An SVM based scoring evaluation system for fluorescence microscopic image classification D Lin, Z Lin, S Sothiharan, L Lei, J Zhang 2015 IEEE International Conference on Digital Signal Processing (DSP), 543-547, 2015 | 7 | 2015 |
