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Yang Nan
Yang Nan
Department of Bioengineering, Imperial College London
Verified email at imperial.ac.uk
Title
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Cited by
Year
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge
N Heller, F Isensee, KH Maier-Hein, X Hou, C Xie, F Li, Y Nan, G Mu, ...
Medical image analysis 67, 101821, 2021
4722021
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
Y Nan, J Del Ser, S Walsh, C Schönlieb, M Roberts, I Selby, K Howard, ...
Information Fusion 82, 99-122, 2022
982022
Identification of glomerular lesions and intrinsic glomerular cell types in kidney diseases via deep learning
C Zeng(co-first), Y Nan(co-first), F Xu, Q Lei, F Li, T Chen, S Liang, X Hou, ...
The Journal of pathology 252 (1), 53-64, 2020
702020
FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification
P Tang, X Yan, Y Nan, S Xiang, S Krammer, T Lasser
Medical Image Analysis 76, 102307, 2022
632022
Weakly supervised biomedical image segmentation by reiterative learning
Q Liang(Tutor), Y Nan, G Coppola, K Zou, W Sun, D Zhang, Y Wang, G Yu
IEEE Journal of biomedical and health informatics 23 (3), 1205-1214, 2018
542018
Guangrui Mu, Zhiyong Lin, Miofei Han, et al. The state of the art in kidney and kidney tumor segmentation in contrast-enhanced ct imaging: Results of the kits19 challenge
N Heller, F Isensee, KH Maier-Hein, X Hou, C Xie, F Li, Y Nan
Medical image analysis 67 (101821), 1, 2021
482021
A triple-stage self-guided network for kidney tumor segmentation
X Hou, C Xie, F Li, J Wang, C Lv, G Xie, Y Nan
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 341-344, 2020
292020
Angle aided circle detection based on randomized Hough transform and its application in welding spots detection
Q Liang, J Long, Y Nan, G Coppola, K Zou, D Zhang, W Sun
Math. Biosci. Eng 16 (3), 1244-1257, 2019
272019
Human treelike tubular structure segmentation: A comprehensive review and future perspectives
H Li, Z Tang, Y Nan, G Yang
Computers in Biology and Medicine 151, 106241, 2022
262022
Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation
H Li, Y Nan, J Del Ser, G Yang
Neural Computing and Applications 35 (30), 22071-22085, 2023
252023
Feature pyramid nonlocal network with transform modal ensemble learning for breast tumor segmentation in ultrasound images
P Tang, X Yang, Y Nan, S Xiang, Q Liang
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …, 2021
252021
Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images
G Zhang, K Chen, S Xu, PC Cho, Y Nan, X Zhou, C Lv, C Li, G Xie
Computerized Medical Imaging and Graphics 90, 101929, 2021
252021
Calibrating the dice loss to handle neural network overconfidence for biomedical image segmentation
M Yeung, L Rundo, Y Nan, E Sala, CB Schönlieb, G Yang
Journal of Digital Imaging 36 (2), 739-752, 2023
242023
LKAU-Net: 3D large-kernel attention-based u-net for automatic MRI brain tumor segmentation
H Li, Y Nan, G Yang
Annual conference on medical image understanding and analysis, 313-327, 2022
242022
Fuzzy attention neural network to tackle discontinuity in airway segmentation
Y Nan, J Del Ser, Z Tang, P Tang, X Xing, Y Fang, F Herrera, W Pedrycz, ...
IEEE Transactions on Neural Networks and Learning Systems, 2023
222023
Multi-site, multi-domain airway tree modeling
M Zhang, Y Wu, H Zhang, Y Qin, H Zheng, W Tang, C Arnold, C Pei, P Yu, ...
Medical image analysis 90, 102957, 2023
172023
Large-kernel attention for 3D medical image segmentation
H Li, Y Nan, J Del Ser, G Yang
Cognitive Computation, 1-15, 2023
152023
Autonomous localization and segmentation for body composition quantization on abdominal CT
G Zhang, Y Yang, S Xu, Y Nan, C Lv, L Wei, T Qian, J Han, G Xie
Biomedical Signal Processing and Control 71, 103172, 2022
102022
Mambamir: An arbitrary-masked mamba for joint medical image reconstruction and uncertainty estimation
J Huang, L Yang, F Wang, Y Wu, Y Nan, AI Aviles-Rivero, CB Schönlieb, ...
arXiv preprint arXiv:2402.18451, 2024
92024
CS: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention
X Xing, J Huang, Y Nan, Y Wu, C Wang, Z Gao, S Walsh, G Yang
International Conference on Medical Image Computing and Computer-Assisted …, 2022
92022
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