| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2156 | 2018 |
| Hybrid pyramid u-net model for brain tumor segmentation X Kong, G Sun, Q Wu, J Liu, F Lin Intelligent Information Processing IX: 10th IFIP TC 12 International …, 2018 | 76 | 2018 |
| Path aggregation U-Net model for brain tumor segmentation F Lin, Q Wu, J Liu, D Wang, X Kong Multimedia Tools and Applications 80, 22951-22964, 2021 | 44 | 2021 |
| Brain tumor segmentation using dense channels 2D U-Net and multiple feature extraction network W Shi, E Pang, Q Wu, F Lin Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 20 | 2020 |
| High-throughput 3dra segmentation of brain vasculature and aneurysms using deep learning F Lin, Y Xia, S Song, N Ravikumar, AF Frangi Computer Methods and Programs in Biomedicine 230, 107355, 2023 | 19 | 2023 |
| Adaptive semi-supervised segmentation of brain vessels with ambiguous labels F Lin, Y Xia, N Ravikumar, Q Liu, M MacRaild, AF Frangi International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 4 | 2023 |
| Hemodynamics of thrombus formation in intracranial aneurysms: An in silico observational study Q Liu, A Sarrami-Foroushani, Y Wang, M MacRaild, C Kelly, F Lin, Y Xia, ... APL bioengineering 7 (3), 2023 | 4 | 2023 |
| FMNet: feature mining networks for brain tumor segmentation F Lin, J Liu, Q Wu, X Kong, W Khan, W Shi, E Pang 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | 3 | 2019 |
| Brain tumor segmentation and survival prediction based on extended u-net model and xgboost X Xu, X Kong, G Sun, F Lin, X Cui, S Sun, Q Wu, J Liu International MICCAI Brainlesion Workshop. Springer, Cham, 2018 | 3 | 2018 |
| Key influencers in an aneurysmal thrombosis model: a sensitivity analysis and validation study Q Liu, T Lassila, F Lin, M MacRaild, T Patankar, F Islim, S Song, H Xu, ... APL Bioengineering, 2025 | | 2025 |
| SMILE-UHURA Challenge--Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms S Chatterjee, H Mattern, M Dörner, A Sciarra, F Dubost, H Schnurre, ... arXiv preprint arXiv:2411.09593, 2024 | | 2024 |
| Synthesising 3D Cardiac CINE-MR Images and Corresponding Segmentation Masks using a Latent Diffusion Model N Cheng, Z Liu, Y Deo, H Dou, N Bi, K Wu, F Lin, ZA Taylor, N Ravikumar, ... 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | | 2024 |
| Unsupervised Domain Adaptation for Brain Vessel Segmentation Through Transwarp Contrastive Learning F Lin, Y Xia, Y Deo, M MacRaild, H Dou, Q Liu, K Wu, N Ravikumar, ... 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | | 2024 |
| Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries Y Deo, F Lin, H Dou, N Cheng, N Ravikumar, AF Frangi, T Lassila 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | | 2024 |
| GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation F Lin, Y Xia, M MacRaild, Y Deo, H Dou, Q Liu, N Cheng, N Ravikumar, ... arXiv preprint arXiv:2402.15239, 2024 | | 2024 |
| Learning Without Forgetting for Continual Vascular Segmentation across Multi-Centres Y Xia, F Lin, AF Frangi | | |
Qiang WuShandong UniversityVerified email at sdu.edu.cn
