Automatic multiorgan segmentation in thorax CT images using U‐net‐ GAN

Dong, Xue, Lei, Yang, Wang, Tonghe, Thomas, Matthew, Tang, Leonardo, Curran, Walter J., Liu, Tian, Yang, Xiaofeng·2019·Medical Physics

Cited by (276)

Items 201–276 of 276

  1. Multi-Organ Segmentation Using a Low-Resource Architecture
    Valentin Ogrean, Remus Brad · 2022 · Information
  2. Cascaded‐TOARNet: A cascaded framework based on mixed attention and multiscale information for thoracic OARs segmentation
    Du Wu, Huimin Guo, Boyang Chen, Ming Cui, Teng Zhang, Deyu Sun, He Ma · 2023 · Medical Physics
  3. Deep learning-based prediction of later 13N-ammonia myocardial PET image frames from initial frames
    Mersede Mokri, Mojtaba Safari, Sanaz I. Kaviani, Daniel Juneau, Claire Cohalan, Louis Archambault, Jean‐François Carrier · 2024 · Biomedical Signal Processing and Control
  4. Sex-Based Bias in Artificial Intelligence-Based Segmentation Models in Clinical Oncology
    Florence Xini Doo, W G Naranjo, Thodori Kapouranis, Maria Thor, Ming Chao, Xuan Yang, Deborah Catherine Marshall · 2025 · Clinical Oncology
  5. Deep Learning Methods for Image Guidance in Radiation Therapy
    Pascal Paysan, Igor Peterlík, Toon Roggen, Liangjia Zhu, Claas Wessels, Jan Schreier, Martin Buchacek, Stefan G. Scheib · 2020 · Lecture notes in computer science
  6. [Research progress in lung parenchyma segmentation based on computed tomography].
    Hanguang Xiao, Zhiqiang Ran, Jinfeng Huang, Huijiao Ren, Chang Liu, Banglin Zhang, Bolong Zhang, Jun Dang · 2021 · PubMed Central
  7. SOMA: Subject‐, object‐, and modality‐adapted precision atlas approach for automatic anatomy recognition and delineation in medical images
    Jieyu Li, Jayaram K. Udupa, Dewey Odhner, Yubing Tong, Drew A. Torigian · 2021 · Medical Physics
  8. Computed Tomography Image Features under Convolutional Neural Network Algorithm in Analysis of Inflammatory Factor Level and Prognosis of Patients with Hepatitis B Virus-Associated Acute-on-Chronic Liver Failure
    Zhibing Xie, Li Ding, Yongzhong Li · 2021 · Journal of Healthcare Engineering
  9. Advancing MRI reconstruction: A systematic review of deep learning and compressed sensing integration
    Mojtaba Safari, Zach Eidex, Chih‐Wei Chang, Richard L. J. Qiu, Xiaofeng Yang · 2025 · Biomedical Signal Processing and Control
  10. Accurate object localization facilitates automatic esophagus segmentation in deep learning
    Zhibin Li, Guanghui Gan, Jian Feng Guo, Wei Zhan, Long Chen · 2024 · Radiation Oncology
  11. Comparison of Deep Learning-Based Auto-Segmentation Results on Daily Kilovoltage, Megavoltage, and Cone Beam CT Images in Image-Guided Radiotherapy
    Zhixing Wang, Chengyu Shi, Carson Wong, Seyi M Oderinde, William Tyler Watkins, Kun Qing, Bo Liu, Terence Marques Williams, An Liu, Chunhui Han · 2025 · Technology in Cancer Research & Treatment
  12. Anatomically informed GREIT reconstruction: improving EIT imaging for lung monitoring
    Maximilian Ludwig, Carolin M. Eichinger, Armin Sablewski, Inéz Frerichs, Tobias Becher, Wolfgang A. Wall · 2026 · Physiological Measurement
  13. Applying a novel two-step deep learning network to improve the automatic delineation of esophagus in non-small cell lung cancer radiotherapy
    Fuli Zhang, Qiusheng Wang, Na Lu, Diandian Chen, Huayong Jiang, Anning Yang, Yanjun Yu, Yadi Wang · 2023 · Frontiers in Oncology
  14. Two-phase Switching Optimization for Generative Adversarial Network in Pose Transfer
    Zong Qi Ooi, King Hann Lim, Choo W. R. Chiong · 2024 · International Conference on Green Energy, Computing and Sustainable Technology (GECOST)
  15. Automated 3D Tumor Segmentation Using Temporal Cubic PatchGAN (TCuP-GAN)
    Kameswara Bharadwaj Mantha, Ramanakumar Sankar, L. Fortson · 2024 · Lecture notes in computer science
  16. Attention Residual Convolution Neural Network Based on U-Net for COVID-19 Lung Infection Segmentation
    Qiang Zuo, Songyu Chen, Zhifang Wang · 2021 · Communications in computer and information science
  17. Research on Lung Tumor Cell Segmentation Method Based on Improved UNet Algorithm
    Jun Sun, Weimin Chen, Longzhen Zhang, Xundong Yan · 2022 · Scientific Programming
  18. Auto-contouring FDG-PET/MR images for cervical cancer radiation therapy: An intelligent sequential approach using focally trained, shallow U-Nets
    Atallah Baydoun, Ke Xu, Latoya A. Bethell, Feifei Zhou, Jin Uk Heo, Kaifa Zhao, Elisha T. Fredman, Rodney J. Ellis, Pengjiang Qian, Raymond F. Muzic et al. · 2021 · Intelligence-Based Medicine
  19. PATIENT-SPECIFIC DOSE ESTIMATES IN DYNAMIC COMPUTED TOMOGRAPHY MYOCARDIAL PERFUSION EXAMINATION
    V-M Sundell, Mika Kortesniemi, T. Siiskonen, A Kosunen, Stephan Rosendahl, L Büermann · 2021 · Radiation Protection Dosimetry
  20. Recent Progress of Medical CT Image Processing Based on Deep Learning
    Yun Tan, Jiaohua Qin, Lixia Huang, Ling Tan, Xuyu Xiang, Hao Tang, Haikuo Peng, Jiang Yong Wu · 2021 · Communications in computer and information science
  21. Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme
    Tuğba ŞENTÜRK, Fatma Lati̇foğlu · 2023 · Dicle Üniversitesi Fen Bilimleri Enstitüsü Dergisi
  22. Study on recognition technology of QR code superimposed on images using GAN
    Kazutake Uehira, Hiroshi Unno · 2023 · International Conference on Imaging, Signal Processing and Communications (ICISPC)
  23. Brain Hemorrhage Segmentation in CT Scan Images using Deep Learning based Approach
    Haibin Zhang, Worapan Kusakunniran, Thanongchai Siriapisith, Pairash Saiviroonporn · 2022 · IEEE Region 10 Conference (TENCON)
  24. Laser-induced antibacterial coating on the surface of an individual titanium membrane designed by a neural network
    Yulia Karlagina, Andrey Shelemanov, Vladimir Zilberman, Ekaterina A. Zernitckaia, Elizaveta Lovushkina, Anastasia Zavialova, K. Rogachev, N. Afanasiev, Yu. R. Kolobov, S. S. Manokhin et al. · 2023 · Optical and Quantum Electronics
  25. GAN-Based Super-Resolution in Linear R-SAM Imaging for Enhanced Non-Destructive Semiconductor Measurement
    Thi Thu Ha Vu, Tan Hung Vo, Trong Nhan Nguyen, Jaeyeop Choi, Le Hai Tran, Vu Hoang Minh Doan, Van Bang Nguyen, Wonjo Lee, Sudip Mondal, Junghwan Oh · 2025 · Applied Sciences
  26. Performance of multi-vendor auto-segmentation models for thoracic organs at risk trained on a single dataset
    Sevgi Emin, Elia Rossi, Mattias Hedman, Marcela Giovenco, Fernanda Villegas, Eva Onjukka · 2025 · Physica Medica
  27. Advancing X-ray microcomputed tomography image processing of avian eggshells: An improved registration metric for multiscale 3D images and resolution-enhanced segmentation of eggshell pores using edge-attentive neural networks
    Shumeng Jia, Nicolas Piché, Marc D. McKee, Natalie Reznikov · 2025 · Micron
  28. Deep Learning for Diagnosis of Disc Herniation in Small Animals: A CNN‐Based Approach Using CT Imaging
    Parham Soufizadeh, Hamed Famil Ghadakchi, Seyyed Hossein Modarres Tonekabony, Mohammad Molazem · 2026 · Veterinary Radiology & Ultrasound
  29. An optimized automatic prediction of stage and grade in bladder cancer based on U-ResNet
    Xinzi Cao, Shengzhou Luo, Jing-Cong Li, Jiahui Pan · 2021 · Journal of Intelligent & Fuzzy Systems
  30. Automated Multi-Organ Segmentation in Pet Images Using Cascaded Training of a 3d U-Net and Convolutional Autoencoder
    Annika Liebgott, Charlotte Lorenz, Sergios Gatidis, Viet Chau Vu, Konstantin Nikolaou, Bin Yang · 2021 · IEEE International Conference on Acoustics Speech and Signal Processing
  31. Evolution of AI in Medical Imaging
    Joshua D. Schaefferkoetter · 2022 · Springer eBooks
  32. Lung Volume Calculation in Preclinical MicroCT: A Fast Geometrical Approach
    Juan A. Cámara, Anna Pujol, Juan Jose Jimenez, Jaime Donate, Marina Ferrer, Greetje Vande Velde · 2022 · Journal of Imaging
  33. Deep Learning Techniques for 3D-Volumetric Segmentation of Biomedical Images
    Sikandar Afridi, Muhammad Irfan Khattak, Muhammad Abeer Irfan, Atif Jan, Muhammad Asif · 2023 · Studies in computational intelligence
  34. Effects of Intravenous Infusion of Iodine Contrast Media on the Tracheal Diameter and Lung Volume Measured with Deep Learning-Based Algorithm
    Koichiro Yasaka, Hiroyuki Saigusa, Osamu Abe · 2024 · Journal of Imaging Informatics in Medicine
  35. Semi-supervised lung nodule detection with adversarial learning
    Qinlu He, Pengze Gao, Fan Zhang, Genqing Bian, Chen Chen · 2024 · Multimedia Tools and Applications
  36. Impact of rapid iodine contrast agent infusion on tracheal diameter and lung volume in CT pulmonary angiography measured with deep learning-based algorithm
    Koichiro Yasaka, Osamu Abe · 2024 · Japanese Journal of Radiology
  37. 3D-Conditional Generative Adversarial Networks for Brain Tumour Segmentation
    Pankaj Kumar Magar, Dinesh Naik · 2024 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
  38. Multi-scale deep adversarial network for particle detection in liquid crystal module
    Yuanyuan Wang, Ling Ma, Lihua Jian, Chengshuai Fan, Zhipeng Zhang, Huiqin Jiang · 2021 · Applied Soft Computing
  39. Fully automated segmentation of pneumonia infection based on Probabilistic Graphical Model and U-Net blend network
    Xunpeng Xia, Rongfu Zhang, Xufeng Yao, Gang Huang, Tiequn Tang · 2022 · Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
  40. Automatic delineation of organ at risk in cervical cancer radiotherapy based on ensemble learning.
    Tingting Cheng, Zijian Zhang, Xin She Yang, Shanfu Lu, Dongdong Qian, Xianliang Wang, Hong Zhu · 2022 · PubMed Central
  41. Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT
    Hyemin Um, Jue Jiang, Maria Thor, Andreas Rimner, Leo Y. Luo, Joseph O. Deasy, Harini Veeraraghavan · 2020 · arXiv (Cornell University)
  42. Generalizable Cone Beam CT Esophagus Segmentation Using In Silico Data Augmentation.
    Sadegh Riyahi Alam, Tianfang Li, Siyuan Zhang, Pengpeng Zhang, Saad Nadeem · 2020 · arXiv (Cornell University)
  43. Explainable multiple abnormality classification of chest CT volumes with AxialNet and HiResCAM
    Rachel Lea Draelos, Lawrence Carin · 2021 · arXiv (Cornell University)
  44. Multi-Modal U-net for Segmenting Gross Tumor Volume in Lungs during Radiotherapy
    Dhruv Jain, Romain Modzelewski, Romain Hérault, Clément Chatelain, S. Thureau · 2023 · Preprints.org
  45. Generative Adversarial Networks in the Field of Medical Image Segmentation
    Bisma Sultan, Aasia Rehman, Lubna Riyaz · 2025
  46. Uncertainty quantification of U‐Net based segmentation tool using conformal prediction
    Borden, Bailey J., Graham‐Knight, John B., Lasserre, Patricia, Lucas, Sarah, Rajapakshe, Rasika D. · 2026 · Journal of Applied Clinical Medical Physics
  47. Generalizable cone beam CT esophagus segmentation using physics-based data augmentation
    Sadegh Riyahi Alam, Tianfang Li, Pengpeng Zhang, Siyuan Zhang, Saad Nadeem · 2021 · Zenodo (CERN European Organization for Nuclear Research)
  48. Deep Learning Architectures and Techniques for Multi-organ Segmentation
    Valentin Ogrean, Alexandru Dorobanțiu, Remus Brad · 2021 · International Journal of Advanced Computer Science and Applications
  49. RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net
    Xiaocong Chen, Lina Yao, Yu Zhang · 2021 · Lecture notes in computer science
  50. Left Ventricle Segmentation based on a Segmentation-Adversarial Network with Complementary Labels
    Xijing Zou, Qian Wang, Hao Zhang · 2021 · International Conference on Wireless Communications and Signal Processing (WCSP)
  51. Detection Method of Athlete Joint Injury Based on Deep Learning Model
    Jianjia Liu, Xin Yang, Tiannan Liao, Yong Huang · 2022 · Computational and Mathematical Methods in Medicine
  52. Artificial Intelligence in Radiation Oncology: A Rapidly Evolving Picture
    Harini Veeraraghavan, Joseph O. Deasy · 2022 · Springer eBooks
  53. RT-Net: Plant Phenotype Semantic Segmentation Network Based on Advanced Deep Learning Framework
    Chengui Fu, Wenbiao Xie, Yin Jin, Kai Zhao, Qiuming Liu, He Xiao · 2022 · International Conference on Computing and Pattern Recognition (ICCPR)
  54. A decoupled generative adversarial network for anterior cruciate ligament tear localization and quantification
    Jiaoju Wang, Jiewen Luo, Alphonse Houssou Hounye, Zheng Wang, Jiehui Liang, Yangbo Cao, Jing Feng, Lingjie Tan, Zhengcheng Wang, Menglin Kong et al. · 2023 · Neural Computing and Applications
  55. AI-based image processing techniques for the automatic segmentation of human organs
    Surbhi Gupta, Apeksha Koul · 2024 · Advances in computers
  56. Optimizing TEM Image Segmentation: Advancements in DRU-Net Architecture with Dense Residual Connections and Attention Mechanisms
    M. Nagaraju Naik, Nagajyothi Dimmita, Vijayalakshmi Chintamaneni, P. Srinivasa Rao, Nagalingam Rajeswaran, Amar Yusof Jaffar, Fahd Mohammed Aldosari, Wesam Nabil Eid, Ayman A. Alharbi · 2024 · Engineering Technology & Applied Science Research
  57. A simulation study towards sparse-view spectral X-ray CT segmentation using spectrum-aware deep neural networks
    Siqi Wang, Tatsuya Yatagawa, Yutaka Ohtake · 2024 · Nondestructive Testing And Evaluation
  58. Machine Learning–Based Image Processing in Radiotherapy
    Shinichiro Mori, Mori Yasukuni · 2024 · Springer eBooks
  59. From Segmentation to Generation: the Emerging Trends in Skin Lesion Detection
    Junwei Yu, Yuhe Xia · 2024 · International Symposium on Computer Science and Intelligent Control (ISCSIC)
  60. Automatic multiorgan segmentation in lung CBCT images using a multichannel conditional consistency diffusion model
    Xiaoqian Chen, Richard L. J. Qiu, Shaoyan Pan, Joseph W. Shelton, Xiaofeng Yang, Aparna Hemant Kesarwala · 2025 · SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications
  61. RETRACTED: The public art design of urban space using deep learning under the Internet of Things
    Lei Song · 2024 · Journal of Computational Methods in Sciences and Engineering · Retracted
  62. A semi‐automated workflow for cohort‐wise preparation of radiotherapy data for dose‐response modeling, including autosegmentation of organs at risk
    Louise Mövik, Anna Bäck, Kerstin Gunnarsson, Christian Jamtheim Gustafsson, Andreas Hallqvist, Niclas Pettersson · 2025 · Journal of Applied Clinical Medical Physics
  63. Generation of Multi-Vertebrae Using 3D Deep Learning Models
    Cheng-Hung Chuang, Yu-Jie Chen, Hung-Yu Chen, Qian Yu, Zhen-You Lian · 2025 · International Symposium on Computer, Consumer and Control
  64. Decaying Factor in Two-Phase Switching Optimization Strategy for Pose Transfer Network
    King Hann Lim, Zong Qi Ooi · 2025 · International Journal of Computational Intelligence Systems
  65. U-Net Inspired GAN for the Enhancement of Underwater Images
    Naveena Tresa Joseph, Subbiahpillai Neelakantapillai Kumar, N. V. Sobhana, S. Kannadhasan · 2025 · Marine Geodesy
  66. Additional file 1 of Accurate object localization facilitates automatic esophagus segmentation in deep learning
    Zhibin Li, Guanghui Gan, Guo, Jian, Zhan, Wei, Chen, Long · 2024 · Figshare
  67. Physics and Its Contemporary Role in Health, Medical Sciences and its Connection to Digital Technologies and Artificial Intelligence
    O.S. Ahmed · 2026 · International Journal of Latest Technology in Engineering Management & Applied Science
  68. Feasibility study of U-Net-based automatic segmentation of pelvic bone marrow for postoperative radiotherapy in cervical cancer
    Hao Qiu, Qianjin Shi, Tianhong Tang, Kang Shen, Yan Zhuang · 2026 · Frontiers in Oncology
  69. Adapting 2D Vision Transformer Backbones for 3D Thoracic Multi‐Organ Segmentation
    Levent Karacan, Hamdi Yalın Yalıç, Alaettin Uçan, Ali Yiğit, Adem Ali Yılmaz · 2026 · International Journal of Imaging Systems and Technology
  70. Contributions to multi-atlas and deep learning approaches for muscle segmentation in multi-parametric quantitative MRI longitudinal studies
    Hoai-Thu Nguyen · 2021
  71. DBT-DR-GAN: Dual-branch transformer-enhanced GAN with diffusion-based refinement for CT-to-MRI translation
    Shengxian Han, Shurui Zhang, Yangbu Wang, Chenxi Zhou, Feng Yang, Bin Liu · 2026 · Information Fusion
  72. Automated Contouring of Pelvic Computed Tomography Images for Radiation Therapy Systems using Deep Learning
    M. Asadullah Baig, Sarah Muzaffar, Muhammad Faris, Crescenzo Pepe, Mir Farooq Ali, Silvia Maria Zanoli · 2026 · International Carpathian Control Conference
  73. Improving adversarial learning for lung cancer tumor segmentation: The role of quasi-deep supervision framework with dual discriminators
    Jiayu Da, Yifang Li, Yongzhi Deng, Tao Jiang, Lu Qiang, Yueyu Huang, Ran Cao, Yucheng He, Haijun Zheng, Wenyu Xing et al. · 2026 · Biomedical Signal Processing and Control
  74. COVID-19 CT Image Classification Based on DenseNet121: A Study on the Impact of Lung Parenchyma Segmentation Pretreatment on Classification Performance
    Junjie Lu · 2026 · International Conference on Biomedical Engineering and Bioinformatics for Health (ICBEBH)
  75. Multi-Class Segmentation of Thoracic OARs and CTV in Radiotherapy Planning CT with Improved Delineation
    Elvan Duman, Ayşe Koç, Erman KOÇ, Timur Koca · 2026 · International Conference on Informatics and Information Technologies (CIIT)
  76. Synthetic Data and Generative AI in Oncology: A Global Bibliometric and Science-Mapping Analysis of 5,687 Publications
    Mohammad Ghosheh, Mawada Mohamed Hussein, Balqees Mansour, Dhiyaa Aljorf, Amin M. Abyad, Ghadeer Ghosheh · 2026 · Global Advances in Oncology and Hematology