Yang Nan

According to our database, Yang Nan authored at least 42 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba.

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

Medical Image Anal., 2025

2024

Real-Time Non-Invasive Imaging and Detection of Spreading Depolarizations through EEG: An Ultra-Light Explainable Deep Learning Approach.

Yinzhe Wu, Sharon Jewell, Xiaodan Xing, Yang Nan, Anthony J. Strong, Guang Yang, Martyn G. Boutelle

IEEE J. Biomed. Health Informatics, October, 2024

Fuzzy Attention-Based Border Rendering Orthogonal Network for Lung Organ Segmentation.

Sheng Zhang, Yingying Fang, Yang Nan, Shiyi Wang, Weiping Ding, Yew-Soon Ong, Alejandro F. Frangi, Witold Pedrycz, Simon Walsh, Guang Yang

IEEE Trans. Fuzzy Syst., October, 2024

Large-Kernel Attention for 3D Medical Image Segmentation.

Hao Li, Yang Nan, Javier Del Ser, Guang Yang

Cogn. Comput., July, 2024

Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation.

Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Joint-individual fusion structure with fusion attention module for multi-modal skin cancer classification.

Peng Tang, Xintong Yan, Yang Nan, Xiaobin Hu, Bjoern H. Menze, Sebastian Krammer, Tobias Lasser

Pattern Recognit., 2024

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.

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

Medical Image Anal., 2024

Deep Generative Models Unveil Patterns in Medical Images Through Vision-Language Conditioning.

Xiaodan Xing, Junzhi Ning, Yang Nan, Guang Yang

CoRR, 2024

Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba.

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

CoRR, 2024

When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI.

Xiaodan Xing, Fadong Shi, Jiahao Huang, Yinzhe Wu, Yang Nan, Sheng Zhang, Yingying Fang, Mike Roberts, Carola-Bibiane Schönlieb, Javier Del Ser, Guang Yang

CoRR, 2024

MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation.

Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang

CoRR, 2024

Make it more specific: A novel uncertainty based airway segmentation application on 3D U-Net and its variants.

Shiyi Wang, Yang Nan, Federico N. Felder, Sheng Zhang, Simon L. F. Walsh, Guang Yang

CoRR, 2024

Probing perfection: The relentless art of meddling for pulmonary airway segmentation from HRCT via a human-AI collaboration based active learning method.

Shiyi Wang, Yang Nan, Sheng Zhang, Federico Felder, Xiaodan Xing, Yingying Fang, Javier Del Ser, Simon L. F. Walsh, Guang Yang

Artif. Intell. Medicine, 2024

Fuzzy Attention-Based Border Rendering Network for Lung Organ Segmentation.

Sheng Zhang, Yang Nan, Yingying Fang, Shiyi Wang, Xiaodan Xing, Zhifan Gao, Guang Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Deep Asymmetric Mixture Model for Unsupervised Cell Segmentation.

Yang Nan, Guang Yang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Multi-site, Multi-domain Airway Tree Modeling.

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

Medical Image Anal., December, 2023

Adversarial Transformer for Repairing Human Airway Segmentation.

Zeyu Tang, Yang Nan, Simon Walsh, Guang Yang

IEEE J. Biomed. Health Informatics, October, 2023

Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation.

Hao Li, Yang Nan, Javier Del Ser, Guang Yang

Neural Comput. Appl., October, 2023

Corrigendum to 'Human treelike tubular structure segmentation: A comprehensive review and future perspectives'[Comput. Biol. Med., Vol.151 (Pt A), 2022, p.106241-106241].

Hao Li, Zeyu Tang, Yang Nan, Guang Yang

Comput. Biol. Medicine, September, 2023

Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation.

Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang

J. Digit. Imaging, April, 2023

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.

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

CoRR, 2023

Graph-Ensemble Learning Model for Multi-label Skin Lesion Classification using Dermoscopy and Clinical Images.

Peng Tang, Yang Nan, Tobias Lasser

CoRR, 2023

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation.

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

CoRR, 2023

High Accuracy and Cost-Saving Active Learning: 3D WD-UNet for Airway Segmentation.

Shiyi Wang, Yang Nan, Simon Walsh, Guang Yang

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images.

Xiaodan Xing, Federico Felder, Yang Nan, Giorgos Papanastasiou, Simon Walsh, Guang Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus?

Xiaodan Xing, Yang Nan, Federico Felder, Simon Walsh, Guang Yang

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network.

Yang Nan, Peng Tang, Guyue Zhang, Caihong Zeng, Zhihong Liu, Zhifan Gao, Heye Zhang, Guang Yang

IEEE Trans. Medical Imaging, 2022

Automatic fine-grained glomerular lesion recognition in kidney pathology.

Yang Nan, Fengyi Li, Peng Tang, Guyue Zhang, Caihong Zeng, Guotong Xie, Zhihong Liu, Guang Yang

Pattern Recognit., 2022

FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification.

Peng Tang, Xintong Yan, Yang Nan, Shao Xiang, Sebastian Krammer, Tobias Lasser

Medical Image Anal., 2022

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.

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

Inf. Fusion, 2022

Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers.

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

CoRR, 2022

Human treelike tubular structure segmentation: A comprehensive review and future perspectives.

Hao Li, Zeyu Tang, Yang Nan, Guang Yang

Comput. Biol. Medicine, 2022

Autonomous localization and segmentation for body composition quantization on abdominal CT.

Guyue Zhang, Yang Yang, Shangliang Xu, Yang Nan, Chuanfeng Lv, Lina Wei, Tianwei Qian, Jun Han, Guotong Xie

Biomed. Signal Process. Control., 2022

LKAU-Net: 3D Large-Kernel Attention-Based U-Net for Automatic MRI Brain Tumor Segmentation.

Hao Li, Yang Nan, Guang Yang

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

CS²: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention.

Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge.

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

Medical Image Anal., 2021

Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images.

Guyue Zhang, Kaixing Chen, Shangliang Xu, Po Chuan Cho, Yang Nan, Xin Zhou, Chuanfeng Lv, Changsheng Li, Guotong Xie

Comput. Medical Imaging Graph., 2021

2020

A Triple-Stage Self-Guided Network for Kidney Tumor Segmentation.

Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Jiaping Wang, Chuanfeng Lv, Guotong Xie, Yang Nan

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Correlation-Guided Network for Fine-Grained Classification of Glomerular lesions in Kidney Histopathology Images.

Fengyi Li, Yang Nan, Xiaoshuai Hou, Chunmei Xie, Jiaping Wang, Chuanfeng Lv, Guo Tong Xie

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Weakly Supervised Biomedical Image Segmentation by Reiterative Learning.

Qiaokang Liang, Yang Nan, Gianmarc Coppola, Kunglin Zou, Wei Sun, Dan Zhang, Yaonan Wang, Guanzhen Yu

IEEE J. Biomed. Health Informatics, 2019

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge.

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

CoRR, 2019

2017

Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning.

Yang Nan, Gianmarc Coppola, Qiaokang Liang, Kunlin Zou, Wei Sun, Dan Zhang, Yaonan Wang, Guanzhen Yu

CoRR, 2017