| Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving W Wang, J Xie, CY Hu, H Zou, J Fan, W Tong, Y Wen, S Wu, H Deng, Z Li, ... arXiv preprint arXiv:2312.09245, 2023 | 98 | 2023 |
| Rethinking pre-training on medical imaging Y Wen, L Chen, Y Deng, C Zhou Journal of Visual Communication and Image Representation 78, 103145, 2021 | 83 | 2021 |
| Parameter k search strategy in outlier detection J Ning, L Chen, C Zhou, Y Wen Pattern Recognition Letters 112, 56-62, 2018 | 38 | 2018 |
| Automatic detection of pathological myopia and high myopia on fundus images S Dai, L Chen, T Lei, C Zhou, Y Wen 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 31 | 2020 |
| Deep active autoencoders for outlier detection J Ning, L Chen, C Zhou, Y Wen Neural Processing Letters, 1-13, 2022 | 15 | 2022 |
| ST-Net: Synthetic ECG tracings for diagnosing various cardiovascular diseases Y Deng, Z Gao, S Xu, P Ren, Y Wen, Y Mao, Z Li Biomedical Signal Processing and Control 61, 101997, 2020 | 15 | 2020 |
| Pixel-wise triplet learning for enhancing boundary discrimination in medical image segmentation Y Wen, L Chen, Y Deng, Z Zhang, C Zhou Knowledge-Based Systems 243, 108424, 2022 | 14 | 2022 |
| Towards efficient medical image segmentation via boundary-guided knowledge distillation Y Wen, L Chen, S Xi, Y Deng, X Tang, C Zhou 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 12 | 2021 |
| Deep-learning based in-cylinder pressure modeling and resolution of ion current signals Z Gao, Y Deng, Y Wen, J Lu, Z Du, C Tang, E Tomita, Y Tan Fuel 282, 118722, 2020 | 12 | 2020 |
| Symptom and Pathology Report Generation for Ophthalmic Diseases in Fundus Images Y Wen, L Chen, L Qiao, Y Deng, S Dai, J Chen, C Zhou 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 8 | 2020 |
| Bridging structural MRI with cognitive function for individual level classification of early psychosis via deep learning Y Wen, C Zhou, L Chen, Y Deng, M Cleusix, R Jenni, P Conus, KQ Do, ... Frontiers in psychiatry 13, 1075564, 2023 | 7 | 2023 |
| An efficient weakly-supervised learning method for optic disc segmentation Y Wen, L Chen, L Qiao, C Zhou, S Xi, R Guo, Y Deng 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 7 | 2020 |
| Weakly supervised learning of recurrent residual convnets for pancreas segmentation in ct scans H Zeng, X Hu, L Chen, C Zhou, Y Wen 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 7 | 2019 |
| Towards better semantic consistency of 2D medical image segmentation Y Wen, L Chen, Y Deng, J Ning, C Zhou Journal of Visual Communication and Image Representation 80, 103311, 2021 | 6 | 2021 |
| Cross-modal guidance for hyperfluorescence segmentation in fundus fluorescein angiography C Zhou, T Zhang, Y Wen, L Chen, L Zhang, J Chen 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 6 | 2021 |
| Let’s find fluorescein: Cross-modal dual attention learning for fluorescein leakage segmentation in fundus fluorescein angiography Y Wen, L Chen, L Qiao, Y Deng, H Chen, T Zhang, C Zhou 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 6 | 2021 |
| An image understanding based model with ion current signals for predicting combustion information Y Deng, Z Gao, E Tomita, Y Wen Fuel 253, 1080-1089, 2019 | 6 | 2019 |
| A wide residual network for sentiment classification Y Wen, A Xu, W Liu, L Chen Proceedings of the 2018 2Nd International Conference on Deep Learning …, 2018 | 6 | 2018 |
| FLeak-Seg: Automated fundus fluorescein leakage segmentation via cross-modal attention learning Y Wen, L Chen, L Qiao, Y Deng, H Chen, T Zhang, C Zhou IEEE MultiMedia 29 (2), 114-123, 2022 | 5 | 2022 |
| Enhancing medical image classification via augmentation-based pre-training X Tang, C Zhou, L Chen, Y Wen 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 5 | 2021 |
Yu DengPhD, Biomedical Engineering and Image Science, King's College LondonEmail yang diverifikasi di kcl.ac.uk