Automatic 3D liver location and segmentation via convolutional neural network and graph cut F Lu, F Wu, P Hu, Z Peng, D Kong International journal of computer assisted radiology and surgery 12, 171-182, 2017 | 343 | 2017 |
A pre-trained convolutional neural network based method for thyroid nodule diagnosis J Ma, F Wu, J Zhu, D Xu, D Kong Ultrasonics 73, 221-230, 2017 | 273 | 2017 |
Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets P Hu, F Wu, J Peng, Y Bao, F Chen, D Kong International journal of computer assisted radiology and surgery 12, 399-411, 2017 | 226 | 2017 |
Automatic 3D liver segmentation based on deep learning and globally optimized surface evolution P Hu, F Wu, J Peng, P Liang, D Kong Physics in Medicine & Biology 61 (24), 8676, 2016 | 216 | 2016 |
Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks J Ma, F Wu, T Jiang, Q Zhao, D Kong International journal of computer assisted radiology and surgery 12, 1895-1910, 2017 | 178 | 2017 |
Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images J Ma, F Wu, T Jiang, J Zhu, D Kong Medical physics 44 (5), 1678-1691, 2017 | 150 | 2017 |
Approximating gains from trade in two-sided markets via simple mechanisms J Brustle, Y Cai, F Wu, M Zhao Proceedings of the 2017 ACM Conference on Economics and Computation, 589-590, 2017 | 61 | 2017 |
Flip-rotate-pooling convolution and split dropout on convolution neural networks for image classification F Wu, P Hu, D Kong arXiv preprint arXiv:1507.08754, 2015 | 42 | 2015 |
Learning safe policies with expert guidance J Huang, F Wu, D Precup, Y Cai Advances in Neural Information Processing Systems 31, 2018 | 26 | 2018 |
An analytical solution for temperature distributions in hepatic radiofrequency ablation incorporating the heat-sink effect of large vessels R Chen, F Lu, F Wu, T Jiang, L Xie, D Kong Physics in Medicine & Biology 63 (23), 235026, 2018 | 24 | 2018 |
Pulmonary nodule detection using hybrid two‐stage 3D CNNs M Tan, F Wu, B Yang, J Ma, D Kong, Z Chen, D Long Medical physics 47 (8), 3376-3388, 2020 | 17 | 2020 |
Automatic liver segmentation using 3D convolutional neural networks with a hybrid loss function M Tan, F Wu, D Kong, X Mao Medical Physics 48 (4), 1707-1719, 2021 | 13 | 2021 |
Techniques and algorithms for hepatic vessel skeletonization in medical images: A survey J Zhang, F Wu, W Chang, D Kong Entropy 24 (4), 465, 2022 | 7 | 2022 |
Mechanism for the transition from a regular reflection to a mach reflection or a von neumann reflection WU Fa, DAI Huihui, K Dexing Acta Mathematica Scientia 36 (3), 931-944, 2016 | 4 | 2016 |
图像处理与机器学习在未系安全带驾车检测中的应用 [D] 吴法 浙江大学, 2013 | 4 | 2013 |
基于时域激光诱导辐射确定湍流火焰烟黑粒径 陈玲红, 吴法, 王勇, 吴学成, 周昊, 岑可法 浙江大学学报: 工学版, 2169-2172, 2010 | 4 | 2010 |
Variational model for image segmentation Q Lou, J Peng, F Wu, D Kong Advances in Visual Computing: 9th International Symposium, ISVC 2013 …, 2013 | 3 | 2013 |
Inferior vena cava segmentation with parameter propagation and graph cut Z Yan, F Chen, F Wu, D Kong International Journal of Computer Assisted Radiology and Surgery 12, 1481-1499, 2017 | 2 | 2017 |
Densely connected convolutional networks for ultrasound image based lesion segmentation J Ma, D Kong, F Wu, L Bao, J Yuan, Y Liu Computers in Biology and Medicine 168, 107725, 2024 | 1 | 2024 |
Pixel-RRT*: A Novel Skeleton Trajectory Search Algorithm for Hepatic Vessels J Zhang, W Chang, F Wu, D Kong 2020 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2020 | 1 | 2020 |