Follow
Yang Nan
Yang Nan
Department of Bioengineering, Imperial College London
Verified email at imperial.ac.uk
Title
Cited by
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
4232021
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
802022
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
602020
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
532018
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
472022
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
242019
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
232021
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
222020
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
202021
Human treelike tubular structure segmentation: A comprehensive review and future perspectives
H Li, Z Tang, Y Nan, G Yang
Computers in Biology and Medicine, 106241, 2022
182022
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
152022
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
142023
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
122023
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
112023
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
Large-kernel attention for 3d medical image segmentation
H Li, Y Nan, J Del Ser, G Yang
Cognitive Computation, 1-15, 2023
82023
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
82022
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
62023
Unsupervised tissue segmentation via deep constrained gaussian network
Y Nan, P Tang, G Zhang, C Zeng, Z Liu, Z Gao, H Zhang, G Yang
IEEE Transactions on Medical Imaging 41 (12), 3799-3811, 2022
62022
Automatic fine-grained glomerular lesion recognition in kidney pathology
Y Nan, F Li, P Tang, G Zhang, C Zeng, G Xie, Z Liu, G Yang
Pattern Recognition 127, 108648, 2022
62022
The system can't perform the operation now. Try again later.
Articles 1–20