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ORCIDYang Nan 0002
Person information
- affiliation: Imperial College London, National Heart & Lung Institute, London, UK
- affiliation: Ping An Healthcare Technology, Shanghai, China
- affiliation: Hunan University, College of Electrical and Information Engineering, Changsha, China
Other persons with the same name
- Yang Nan — disambiguation page
- Yang Nan 0001
![[0000-0001-8396-294X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8396-294X")
— Southern University of Science and Technology, Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Shenzhen, China - Yang Nan 0003 — Beijing Jiaotong University, School of Electronics and Information Engineering, Beijing, China
- Yang Nan 0004 — Wuhan University, GNSS Research Center, Wuhan, China
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2020 – today
- 2025
[j22]Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba. Medical Image Anal. 99: 103334 (2025)- 2024
- [j21]Shiyi Wang, Yang Nan, Sheng Zhang, Federico Felder, Xiaodan Xing, Yingying Fang, Javier Del Ser, Simon L. F. Walsh, Guang Yang:
Probing perfection: The relentless art of meddling for pulmonary airway segmentation from HRCT via a human-AI collaboration based active learning method. Artif. Intell. Medicine 154: 102930 (2024) - [j20]Hao Li, Yang Nan, Javier Del Ser, Guang Yang:
Large-Kernel Attention for 3D Medical Image Segmentation. Cogn. Comput. 16(4): 2063-2077 (2024) - [j19]Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N. Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Pingyu Wang, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Abdul Qayyum, Moona Mazher, Athol Wells, Simon L. F. Walsh, Guang Yang:
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. Medical Image Anal. 97: 103253 (2024) - [j18]Peng Tang, Xintong Yan, Yang Nan, Xiaobin Hu, Bjoern H. Menze, Sebastian Krammer, Tobias Lasser:
Joint-individual fusion structure with fusion attention module for multi-modal skin cancer classification. Pattern Recognit. 154: 110604 (2024) - [j17]Sheng Zhang, Yingying Fang, Yang Nan, Shiyi Wang, Weiping Ding, Yew-Soon Ong, Alejandro F. Frangi, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention-Based Border Rendering Orthogonal Network for Lung Organ Segmentation. IEEE Trans. Fuzzy Syst. 32(10): 5462-5476 (2024) - [j16]Yinzhe Wu, Sharon Jewell, Xiaodan Xing, Yang Nan, Anthony J. Strong, Guang Yang, Martyn G. Boutelle:
Real-Time Non-Invasive Imaging and Detection of Spreading Depolarizations through EEG: An Ultra-Light Explainable Deep Learning Approach. IEEE J. Biomed. Health Informatics 28(10): 5780-5791 (2024) - [j15]Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7391-7404 (2024) - [c9]Yang Nan, Guang Yang:
Deep Asymmetric Mixture Model for Unsupervised Cell Segmentation. ISBI 2024: 1-5 - [c8]Sheng Zhang, Yang Nan, Yingying Fang, Shiyi Wang, Xiaodan Xing, Zhifan Gao, Guang Yang:
Fuzzy Attention-Based Border Rendering Network for Lung Organ Segmentation. MICCAI (9) 2024: 297-307 - [i27]Shiyi Wang, Yang Nan, Federico N. Felder, Sheng Zhang, Simon L. F. Walsh, Guang Yang:
Make it more specific: A novel uncertainty based airway segmentation application on 3D U-Net and its variants. CoRR abs/2402.07403 (2024) - [i26]Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation. CoRR abs/2402.18451 (2024) - [i25]Xiaodan Xing, Fadong Shi, Jiahao Huang, Yinzhe Wu, Yang Nan, Sheng Zhang, Yingying Fang, Mike Roberts, Carola-Bibiane Schönlieb, Javier Del Ser, Guang Yang:
When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI. CoRR abs/2405.09597 (2024) - [i24]Jiahao Huang, Liutao Yang, Fanwen Wang, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba. CoRR abs/2405.17659 (2024) - [i23]Yang Nan, Guang Yang:
Deep asymmetric mixture model for unsupervised cell segmentation. CoRR abs/2406.01815 (2024) - [i22]Sheng Zhang, Yang Nan, Yingying Fang, Shiyi Wang, Xiaodan Xing, Zhifan Gao, Guang Yang:
Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation. CoRR abs/2406.16189 (2024) - [i21]Shiyi Wang, Yang Nan, Sheng Zhang, Federico Felder, Xiaodan Xing, Yingying Fang, Javier Del Ser, Simon L. F. Walsh, Guang Yang:
Probing Perfection: The Relentless Art of Meddling for Pulmonary Airway Segmentation from HRCT via a Human-AI Collaboration Based Active Learning Method. CoRR abs/2407.03542 (2024) - 2023
- [j14]Hao Li, Zeyu Tang, Yang Nan, Guang Yang:
Corrigendum to 'Human treelike tubular structure segmentation: A comprehensive review and future perspectives'[Comput. Biol. Med., Vol.151 (Pt A), 2022, p.106241-106241]. Comput. Biol. Medicine 163: 107047 (2023) - [j13]Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation. J. Digit. Imaging 36(2): 739-752 (2023) - [j12]Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lu, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu:
Multi-site, Multi-domain Airway Tree Modeling. Medical Image Anal. 90: 102957 (2023) - [j11]Hao Li, Yang Nan, Javier Del Ser, Guang Yang:
Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation. Neural Comput. Appl. 35(30): 22071-22085 (2023) - [j10]Zeyu Tang, Yang Nan, Simon Walsh, Guang Yang:
Adversarial Transformer for Repairing Human Airway Segmentation. IEEE J. Biomed. Health Informatics 27(10): 5015-5022 (2023) - [c7]Xiaodan Xing, Yang Nan, Federico Felder, Simon Walsh, Guang Yang:
The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus? CBMS 2023: 523-528 - [c6]Xiaodan Xing, Federico Felder, Yang Nan, Giorgos Papanastasiou, Simon Walsh, Guang Yang:
You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images. MICCAI (5) 2023: 13-22 - [c5]Shiyi Wang, Yang Nan, Simon Walsh, Guang Yang:
High Accuracy and Cost-Saving Active Learning: 3D WD-UNet for Airway Segmentation. SIPAIM 2023: 1-5 - [i20]Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lv, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu:
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation. CoRR abs/2303.05745 (2023) - [i19]Xiaodan Xing, Yang Nan, Federico Felder, Simon Walsh, Guang Yang:
The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus? CoRR abs/2305.09789 (2023) - [i18]Xiaodan Xing, Federico Felder, Yang Nan, Giorgos Papanastasiou, Simon Walsh, Guang Yang:
You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images. CoRR abs/2305.18337 (2023) - [i17]Peng Tang, Yang Nan, Tobias Lasser:
Graph-Ensemble Learning Model for Multi-label Skin Lesion Classification using Dermoscopy and Clinical Images. CoRR abs/2307.01704 (2023) - [i16]Shiyi Wang, Yang Nan, Simon Walsh, Guang Yang:
High Accuracy and Cost-Saving Active Learning 3D WD-UNet for Airway Segmentation. CoRR abs/2310.05638 (2023) - [i15]Peng Tang, Xintong Yan, Yang Nan, Xiaobin Hu, Bjoern H. Menze, Sebastian Krammer, Tobias Lasser:
Joint-Individual Fusion Structure with Fusion Attention Module for Multi-Modal Skin Cancer Classification. CoRR abs/2312.04189 (2023) - [i14]Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N. Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Athol Wells, Simon Walsh, Guang Yang:
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. CoRR abs/2312.13752 (2023) - 2022
- [j9]Guyue Zhang, Yang Yang, Shangliang Xu, Yang Nan, Chuanfeng Lv, Lina Wei, Tianwei Qian, Jun Han, Guotong Xie:
Autonomous localization and segmentation for body composition quantization on abdominal CT. Biomed. Signal Process. Control. 71(Part): 103172 (2022) - [j8]Hao Li, Zeyu Tang, Yang Nan, Guang Yang:
Human treelike tubular structure segmentation: A comprehensive review and future perspectives. Comput. Biol. Medicine 151(Part): 106241 (2022) - [j7]Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. Inf. Fusion 82: 99-122 (2022) - [j6]Peng Tang, Xintong Yan, Yang Nan, Shao Xiang, Sebastian Krammer, Tobias Lasser:
FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification. Medical Image Anal. 76: 102307 (2022) - [j5]Yang Nan, Fengyi Li, Peng Tang, Guyue Zhang, Caihong Zeng, Guotong Xie, Zhihong Liu, Guang Yang:
Automatic fine-grained glomerular lesion recognition in kidney pathology. Pattern Recognit. 127: 108648 (2022) - [j4]Yang Nan, Peng Tang, Guyue Zhang, Caihong Zeng, Zhihong Liu, Zhifan Gao, Heye Zhang, Guang Yang:
Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network. IEEE Trans. Medical Imaging 41(12): 3799-3811 (2022) - [c4]Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang:
CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention. MICCAI (8) 2022: 3-12 - [c3]Hao Li, Yang Nan, Guang Yang:
LKAU-Net: 3D Large-Kernel Attention-Based U-Net for Automatic MRI Brain Tumor Segmentation. MIUA 2022: 313-327 - [i13]Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions. CoRR abs/2201.06505 (2022) - [i12]Yang Nan, Fengyi Li, Peng Tang, Guyue Zhang, Caihong Zeng, Guotong Xie, Zhihong Liu, Guang Yang:
Automatic Fine-grained Glomerular Lesion Recognition in Kidney Pathology. CoRR abs/2203.05847 (2022) - [i11]Jiahao Huang, Yingying Fang, Yang Nan, Huanjun Wu, Yinzhe Wu, Zhifan Gao, Yang Li, Zidong Wang, Pietro Liò, Daniel Rueckert, Yonina C. Eldar, Guang Yang:
Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers. CoRR abs/2204.01706 (2022) - [i10]Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang:
CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention. CoRR abs/2206.13394 (2022) - [i9]Hao Li, Zeyu Tang, Yang Nan, Guang Yang:
Human Treelike Tubular Structure Segmentation: A Comprehensive Review and Future Perspectives. CoRR abs/2207.11203 (2022) - [i8]Hao Li, Yang Nan, Javier Del Ser, Guang Yang:
Large-Kernel Attention for 3D Medical Image Segmentation. CoRR abs/2207.11225 (2022) - [i7]Yang Nan, Peng Tang, Guyue Zhang, Caihong Zeng, Zhihong Liu, Zhifan Gao, Heye Zhang, Guang Yang:
Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network. CoRR abs/2208.02912 (2022) - [i6]Hao Li, Yang Nan, Javier Del Ser, Guang Yang:
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation. CoRR abs/2208.06038 (2022) - [i5]Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. CoRR abs/2209.02048 (2022) - [i4]Zeyu Tang, Yang Nan, Simon Walsh, Guang Yang:
Adversarial Transformer for Repairing Human Airway Segmentation. CoRR abs/2210.12029 (2022) - 2021
- [j3]Guyue Zhang, Kaixing Chen, Shangliang Xu, Po Chuan Cho, Yang Nan, Xin Zhou, Chuanfeng Lv, Changsheng Li, Guotong Xie:
Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images. Comput. Medical Imaging Graph. 90: 101929 (2021) - [j2]Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Christopher Weight:
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. Medical Image Anal. 67: 101821 (2021) - [i3]Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation. CoRR abs/2111.00528 (2021) - 2020
- [c2]Fengyi Li, Yang Nan, Xiaoshuai Hou, Chunmei Xie, Jiaping Wang, Chuanfeng Lv, Guo Tong Xie:
Correlation-Guided Network for Fine-Grained Classification of Glomerular lesions in Kidney Histopathology Images. EMBC 2020: 5781-5784 - [c1]Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Jiaping Wang, Chuanfeng Lv, Guotong Xie, Yang Nan:
A Triple-Stage Self-Guided Network for Kidney Tumor Segmentation. ISBI 2020: 341-344
2010 – 2019
- 2019
- [j1]Qiaokang Liang, Yang Nan, Gianmarc Coppola, Kunglin Zou, Wei Sun, Dan Zhang, Yaonan Wang, Guanzhen Yu:
Weakly Supervised Biomedical Image Segmentation by Reiterative Learning. IEEE J. Biomed. Health Informatics 23(3): 1205-1214 (2019) - [i2]Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong, Jun Ma, Jack Rickman, Joshua Dean, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zachary Edgerton, Ranveer Vasdev, Matthew Peterson, Seán McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Christopher Weight, Nikolaos Papanikolopoulos:
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge. CoRR abs/1912.01054 (2019) - 2017
- [i1]Yang Nan, Gianmarc Coppola, Qiaokang Liang, Kunlin Zou, Wei Sun, Dan Zhang, Yaonan Wang, Guanzhen Yu:
Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning. CoRR abs/1712.07488 (2017)
Coauthor Index
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