Building a reference multimedia database for interstitial lung diseases

Cited by (247)

Items 101–200 of 247

1. Lung tissue characterization for emphysema differential diagnosis using deep convolutional neural networks
   Mohammadreza Negahdar, David Beymer · 2019 · SPIE Medical Imaging: Computer-Aided Diagnosis
2. Segmenting lung parenchyma from CT images with gray correlation‐based clustering
   Caixia Liu, Wanli Xie, Ruibin Zhao, Mingyong Pang · 2023 · IET Image Processing
3. Recent Advancements in Computed Tomography Assessment of Fibrotic Interstitial Lung Diseases
   Garima Suman, Chi Wan Koo · 2023 · Journal of Thoracic Imaging
4. A systematic literature analysis of multi-organ cancer diagnosis using deep learning techniques
   Jaspreet Kaur, Prabhpreet Kaur · 2024 · Computers in Biology and Medicine
5. Multi-Scale Directional Mask Pattern for Medical Image Classification and Retrieval
   Akshay A. Dudhane, Sanjay Nilkanth Talbar · 2018 · Advances in intelligent systems and computing
6. A Modified LBP Operator-Based Optimized Fuzzy Art Map Medical Image Retrieval System for Disease Diagnosis and Prediction
   K. Anitha, S. Radhika, C. Kavitha, Wen‐Cheng Lai, S. R. Srividhya, K. Naresh · 2022 · Biomedicines
7. AMTLDC: a new adversarial multi-source transfer learning framework to diagnosis of COVID-19
   Hadi Alhares, Jafar Tanha, Mohammad Ali Balafar · 2023 · Evolving Systems
8. An End-to-End Deep Learning Pipeline for Emphysema Quantification Using Multi-label Learning
   Mohammadreza Negahdar, Adam Coy, David Beymer · 2019 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
9. The Influence of a Coherent Annotation and Synthetic Addition of Lung Nodules for Lung Segmentation in CT Scans
   Joana Vale Sousa, Tânia Pereira, Inês Neves, Francisco Silva, Hélder P. Oliveira · 2022 · Sensors
10. Analysis of Validation Performance of a Machine Learning Classifier in Interstitial Lung Disease Cases Without Definite or Probable Usual Interstitial Pneumonia Pattern on CT Using Clinical and Pathology-Supported Diagnostic Labels
    Marcello Chang, Joshua Jay Reicher, Angad Kalra, Michael C. Muelly, Yousef Ahmad · 2024 · Journal of Imaging Informatics in Medicine
11. DNN-ILD: A Transfer Learning-Based Deep Neural Network for Automated Classification of Interstitial Lung Disease from CT Images
    Sanjib Saha, Debashis Nandi · 2024 · Signals and communication technology
12. Multiple instance learning for lung pathophysiological findings detection using CT scans
    Julieta Frade, Tânia Pereira, Joana Morgado, Francisco Silva, Cláudia Freitas, José Mendes, Eduardo Negrão, Beatriz Flor de Lima, Miguel Correia da Silva, António J. Madureira et al. · 2022 · Medical & Biological Engineering & Computing
13. AI co-pilot: content-based image retrieval for the reading of rare diseases in chest CT
    Johannes Haubold, Ke Zeng, Sepehr Farhand, Sarah Stalke, H Steinberg, Denise Bos, Mathias Meetschen, Anisa Kureishi, Sebastian Zensen, Tim Goeser et al. · 2023 · Scientific Reports
14. Detection And Classification of Lung Cancer CT Images Using Mask R-CNN Based Generated Mask Method
    Sucheta Bhardwaj, Ebtasam Ahmad Siddiqui, Vijayshri Chaurasia, Madhu Shandilya, Mamta Patankar, Ana Kumar · 2023 · IEEE International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP)
15. Differentiation of several interstitial lung disease patterns in HRCT images using support vector machine: role of databases on performance
    Mandar Kale, Sudipta Mukhopadhyay, Jatindra Kumar Dash, Mandeep Kumar Garg, Niranjan Khandelwal · 2016 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
16. RetrieveNet: a novel deep network for medical image retrieval
    Chesti Altaff Hussain, Dhulipalla Venkata Rao, S. Aruna Mastani · 2020 · Evolutionary Intelligence
17. A Weakly Supervised Deep Learning Framework for COVID-19 CT Detection and Analysis
    Ophir Gozes, Maayan Frid-Adar, Nimrod Sagie, Asher Kabakovitch, Dor Amran, Rula Amer, Hayit K. Greenspan · 2020 · Lecture notes in computer science
18. Evaluation of feature selection methods utilizing random forest and logistic regression for lung tissue categorization using HRCT images
    Rashmi Vishraj, Savita Gupta, Sukhwinder Singh · 2023 · Expert Systems
19. Semi-Supervised Segmentation of Interstitial Lung Disease Patterns from CT Images via Self-Training with Selective Re-Training
    Guang-Wei Cai, Yunbi Liu, Qianjin Feng, Rui-Hong Liang, Qingsi Zeng, Yu Deng, Wei Yang · 2023 · Bioengineering
20. A Review on the Applications of GANs for 3D Medical Image Analysis
    Zoha Usama, Azadeh Alavi, Jeffrey Chan · 2025 · Applied Sciences
21. Boosted multifold sparse representation with application to ILD classification
    Yang Song, Weidong Cai, Heng Huang, Yun Zhou, Yue Wang, Dagan D. Feng · 2014 · IEEE International Symposium on Biomedical Imaging (ISBI)
22. A 4F optical diffuser system with spatial light modulators for image data augmentation
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23. A Convolutional Neural Network Approach to Quantify Lung Disease Progression in Patients with Fibrotic Hypersensitivity Pneumonitis (HP)
    Lorenzo Aliboni, Olívia Meira Dias, Bruno Guedes Baldi, Márcio Valente Yamada Sawamura, Rodrigo Caruso Chate, Carlos Roberto Ribeiro de Carvalho, André Luís Pereira de Albuquerque, Andréa Aliverti, Francesca Pennati · 2021 · Academic Radiology
24. Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging
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25. Adversarial image reconstruction learning framework for medical image retrieval
    P. Rohini, Chigarapalle Shoba Bindu · 2022 · Signal Image and Video Processing
26. Computed Tomography Radiomics-based Prediction Model for Gender–Age–Physiology Staging of Connective Tissue Disease-associated Interstitial Lung Disease
    Xiaopeng Jiang, Ningling Su, Shuai Quan, E Linning, Rui Li · 2023 · Academic Radiology
27. Learning image representation from image reconstruction for a content-based medical image retrieval
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28. The Impact of Interstitial Diseases Patterns on Lung CT Segmentation
    Francisco Silva, Tânia Pereira, Joana Morgado, António Manuel Trigueiros da Silva Cunha, Hélder P. Oliveira · 2021 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
29. Multi-Scale Swin Transformer Enabled Automatic Detection and Segmentation of Lung Metastases Using CT Images
    Anum Masood, Usman Naseem, Imran Razzak · 2023 · IEEE International Symposium on Biomedical Imaging (ISBI)
30. Segmentation of interstitial lung disease patterns in HRCT images
    Jatindra Kumar Dash, Vaddepalli Madhavi, Sudipta Mukhopadhyay, Niranjan K. Khandelwal, Prafulla Kumar · 2015 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
31. A Comparison of Texture Features Versus Deep Learning for Image Classification in Interstitial Lung Disease
    Alison Q. O’Neil, Matthew Shepherd, Erin Beveridge, Keith A. Goatman · 2017 · Communications in computer and information science
32. [Research progress on computed tomography image detection and classification of pulmonary nodule based on deep learning].
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33. Accurate Segmentation for Pathological Lung Based on Integration of 3D Appearance and Surface Models
    Ahmed Sharafeldeen, Ahmed Alksas, Mohammed Asaad Ghazal, Maha Yaghi, Adel Khelifi, Ali H. Mahmoud, Sohail G. Contractor, Eric Van Bogaert, Ayman S El-Baz · 2023 · Proceedings - International Conference on Image Processing
34. Automated segmentation of lung field in HRCT images using active shape model
    Sunita Agarwala, Debashis Nandi, Abhishek Kumar, Ashis Kumar Dhara, Sumitra Basu Thakur, Ashok Kumar Bhadra · 2017 · IEEE Region 10 Conference (TENCON)
35. Development of a CT image case database and content-based image retrieval system for non-cancerous respiratory diseases: Method and preliminary assessment
    Akira Oosawa, Atsuko Kurosaki, Shoji Kanada, Yui Takahashi, Kazumasa Ogawa, Shigeo Hanada, Hironori Uruga, Hisashi Takaya, Nasa Morokawa, Kazuma Kishi · 2019 · Respiratory Investigation
36. Content-Based Medical Visual Information Retrieval
    Pranjit Das, Arambam Neelima · 2019 · Studies in computational intelligence
37. Comparison of Pre-Trained vs Domain-Specific Convolutional Neural Networks for Classification of Interstitial Lung Disease
    Jorge Martínez, Gurman Gill · 2019 · 2019 International Conference on Computational Science and Computational Intelligence (CSCI)
38. Content-based image retrieval system for HRCT lung images: assisting radiologists in self-learning and diagnosis of Interstitial Lung Diseases
    Jatindra Kumar Dash, Sudipta Mukhopadhyay, Rahul Dash Gupta, Niranjan K. Khandelwal · 2021 · Multimedia Tools and Applications
39. Interstitial Lung Diseases via Deep Convolutional Neural Networks: Segmentation Label Propagation, Unordered Pooling and Cross-Dataset Learning
    Mingchen Gao, Ziyue Xu, Daniel J. Mollura · 2017 · Advances in computer vision and pattern recognition
40. Rotation-covariant tissue analysis for interstitial lung diseases using learned steerable filters: Performance evaluation and relevance for diagnostic aid
    Ranveer Joyseeree, Henning Müller, Adrien Depeursinge · 2018 · Computerized Medical Imaging and Graphics
41. A Comparison of Unsupervised Abnormality Detection Methods for Interstitial Lung Disease
    Matthew Daykin, Mathini Sellathurai, Ian Poole · 2018 · Communications in computer and information science
42. Prompt Once, Segment Everything: Leveraging SAM 2 Potential for Infinite Medical Image Segmentation with a Single Prompt
    Juan D. Gutiérrez, Emilio Delgado, Carlos Breuer Carrasco, José M. Conejero, Roberto Rodríguez-Echeverría · 2025 · Algorithms
43. Using explainable deep learning in da Vinci Xi robot for tumor detection
    Rohan Ibn Azad, S. Mukhopadhyay, Mohsen Asadnia · 2021 · International Journal on Smart Sensing and Intelligent Systems
44. Pattern classification of interstitial lung diseases from computed tomography images using a ResNet-based network with a split-transform-merge strategy and split attention
    Jianxun Chen, Yucheng Shen, Shin‐Lei Peng, Yi‐Wen Chen, Hsin‐Yuan Fang, Joung‐Liang Lan, Cheng‐Ting Shih · 2024 · Physical and Engineering Sciences in Medicine
45. Artificial Intelligence in the Imaging of Diffuse Lung Disease
    Jessica Chan, William F. Auffermann · 2022 · Radiologic Clinics of North America
46. Blockwise Classification of Lung Patterns in Unsegmented CT Images
    Luiza Dri Bagesteiro, Lucas Ferrari de Oliveira, Daniel Weingaertner · 2015 · Proceedings - IEEE Symposium on Computer-Based Medical Systems
47. Segmentation of Lung Field in HRCT Images Using U-Net Based Fully Convolutional Networks
    Abhishek Kumar, Sunita Agarwala, Ashis Kumar Dhara, Debashis Nandi, Sumitra Basu Thakur, Ashok Kumar Bhadra, Anup Kumar Sadhu · 2018 · Communications in computer and information science
48. Intuitionistic Fuzzy C Means Clustering for Lung Segmentation in Diffuse Lung Diseases
    Shyla Raj, D. S. Vinod, B. S. Mahanand, Nagaraj Murthy · 2020 · Sensing and Imaging
49. Novel superpixel‐based algorithm for segmenting lung images via convolutional neural network and random forest
    Caixia Liu, Mingyong Pang, Ruibin Zhao · 2020 · IET Image Processing
50. Semi-supervised medical image classification based on CamMix
    Lingchao Guo, Changjian Wang, Dongsong Zhang, Kele Xu, Zhen Huang, Li Luo, Yuxing Peng · 2021 · International Joint Conference on Neural Networks (IJCNN)
51. CT-GANet: A Fusion of GAN and UNet for CT Image Segmentation of Interstitial Lung Disease Affected Lung
    Biswadev Goswami, Tapas Pal, Sagnik Das, Rajesh P. Barnwal · 2025 · Journal of The Institution of Engineers (India) Series B
52. Large Margin Aggregation of Local Estimates for Medical Image Classification
    Yang Song, Weidong Cai, Heng Huang, Yun Zhou, Dagan D. Feng, Mei Chen · 2014 · Lecture notes in computer science
53. Rotational invariant fractional derivative filters for lung tissue classification
    V. N. Sukanya Doddavarapu, Giri Babu Kande, B. Prabhakar Rao · 2021 · IET Image Processing
54. Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis
    An Zhao, Ahmed H. Shahin, Yukun Zhou, Eyjólfur Gudmundsson, Adam Szmul, Nesrin Moğulkoç, Frouke van Beek, Christopher J. Brereton, Hendrik W. van Es, Katarina Pontoppidan et al. · 2022 · Lecture notes in computer science
55. Diffuse lung disease classification based on texture features and weighted extreme learning machine
    Shyla Raj, B. S. Mahanand, D. S. Vinod · 2021 · Multimedia Tools and Applications
56. Domain adaptation and weight initialization of neural networks for diagnosing interstitial lung diseases
    Onkar Thorat, Siddharth Salvi, Shrey Dedhia, Chetashri Bhadane, Deepika Dongre · 2022 · International Journal of Imaging Systems and Technology
57. Multi Level Approach for Segmentation of Interstitial Lung Disease (ILD) Patterns Classification Based on Superpixel Processing and Fusion of K-Means Clusters: SPFKMC
    Anni U. Gupta, Sarita Singh Bhadauria · 2022 · Computational Intelligence and Neuroscience
58. Multi-scale lung tissue classification for interstitial lung diseases using learned Gabor filters
    Nageshbabu Dasari, B. V. Ramana Reddy · 2023 · Microsystem Technologies
59. RIBS@UA: Interface to collect and store respiratory data, a preliminary study
    Cátia Pinho, Ana Oliveira, Daniela Santos Oliveira, João Dinis, Alda Sofia Pires De Dias Marques · 2014 · Computers in Biology and Medicine
60. Interstitial lung disease detection using template matching combined sparse coding and blended multi class support vector machine
    Chellakkon Helen Sulochana, S. Blessy · 2022 · Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine
61. Severity-stratification of interstitial lung disease by deep learning enabled assessment and quantification of lesion indicators from HRCT images
    Yexin Lai, Xueyu Liu, Fan Fan Hou, Zhiyong Han, E Linning, Ningling Su, Dianrong Du, Zhichong Wang, Wen Zheng, Yongfei Wu · 2024 · Journal of X-Ray Science and Technology
62. The Progress on Lung Computed Tomography Imaging Signs: A Review
    Hanguang Xiao, Yuewei Li, Bin Jiang, Qingling Xia, Yujia Wei, Huanqi Li · 2022 · Applied Sciences
63. Hybrid Optimization with Recurrent Neural Network-based Medical Image Processing for Predicting Interstitial Lung Disease
    K. Sundaramoorthy, R. Anitha, S. Kayalvili, Ayat Fawzy Ahmed Ghazala, Yousef A. Baker El–Ebiary, Sameh Al-Ashmawy · 2023 · International Journal of Advanced Computer Science and Applications
64. Interstitial Lung Disease Patterns Classification using Hybrid Features Set and Multi Level Segmentation Implemented by Machine Learning Algorithm
    Binita Verma, Shweta Saraswat, Vrishit Saraswat, Rahul Misra · 2023 · International Conference on Communication and Electronics Systems (ICCES)
65. Handling of Feature Space Complexity for Texture Analysis in Medical Images
    Yang Song, Weidong Cai · 2017 · Elsevier eBooks
66. Deep learning in interstitial lung disease: classification and prognostic insights
    Yisong Wang, Youlan Shang, Jiaqi Yao, Hao Li, Xiaoyan Kui, Wei Zhao, Jun Liu · 2024 · Radiology Science
67. Detection of Idiopathic Pulmonary Fibrosis Lesion Area Based on Transfer Learning
    JieLin Xue, Tian Pu, Lu Guo, Zhenming Peng, Xing He, Yicen Han · 2024 · International Conference on Advanced Computational Intelligence (ICACI)
68. Making sense of large data sets without annotations: analyzing age-related correlations from lung CT scans
    Yashin Dicente Cid, Artem B. Mamonov, Andrew L. Beers, Armin W. Thomas, Vassili A. Kovalev, Jayashree Kalpathy–Cramer, Henning Müller · 2017 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
69. Opacity Labeling of Diffuse Lung Diseases in CT Images Using Unsupervised and Semi-supervised Learning
    Shingo Mabu, Shoji Kido, Yasuhi Hirano, Takashi Kuremoto · 2019 · Intelligent systems reference library
70. Detection of idiopathic pulmonary fibrosis lesion regions based on corner point distribution
    Xueqing Yu, Yicen Han, Tian Pu, Lu Guo, Zhenming Peng, Shengkun Peng, Hong Pu · 2022 · International Conference on Intelligent Computing and Signal Processing (ICSP)
71. A computer aided diagnosis framework for detection and classification of interstitial lung diseases using computed tomography (CT) images
    B. P. Santosh Kumar, A. Pullareddy Reddy, D. Siva, Syed Jahangir Badashah, Shafiulla Basha Shaik, Sathishkumar Karupusamy, Harikrishna Mulam · 2022 · Applied Nanoscience
72. CrowdDetective: Wisdom of the Crowds for Detecting Abnormalities in Medical Scans
    Veronika Cheplygina · 2020 · Journal of Trial and Error
73. A comprehensive survey on chest diseases analysis: technique, challenges and future research directions
    Abhishek Hazra · 2021 · International Journal of Multimedia Information Retrieval
74. A Novel and Automated Approach to Classify Radiation Induced Lung Tissue Damage on CT Scans
    Adam Szmul, E. Chandy, Catarina Veiga, Joseph Jacob, Alkisti Stavropoulou, David Landau, Crispin T. Hiley, Jamie R. McClelland · 2022 · Cancers
75. Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation
    Maria Vakalopoulou, Guillaume Chassagnon, Nikos Paragios A, Marie‐Pierre Revel, Evangelia I. Zacharaki · 2018 · IEEE International Symposium on Biomedical Imaging (ISBI)
76. ILDgenDB: integrated genetic knowledge resource for interstitial lung diseases (ILDs)
    Smriti Mishra, Mohammad Imran Shah, Malay S. Sarkar, Nimisha Asati, Chittaranjan Rout · 2018 · Database
77. Enhanced-Quality Gan (EQ-GAN) on Lung CT Scans: Toward Truth and Potential Hallucinations
    Martin Jammes-Floreani, Andrew F. Laine, Elsa D. Angelini · 2021 · IEEE International Symposium on Biomedical Imaging (ISBI)
78. An efficient end-to-end deep neural network for interstitial lung disease recognition and classification
    Masum Shah Junayed, Afsana Ahsan Jeny, Md Baharul Islam, IKHTIAR AHMED, A. F. M. Shahen Shah · 2022 · TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
79. A Mask R-CNN based Approach for Automatic Lung Segmentation in Computed Tomography Scans
    Emre Dandıl, Mehmet Süleyman Yıldırım · 2021 · International Conference on Innovations in Intelligent Systems and Applications (INISTA)
80. Fibrous Tissue Semantic Segmentation in CT Images of Diffuse Interstitial Lung Disease
    Natanael Hernández-Vázquez, Stewart R. Santos, Daniel Hernández-Gordillo, Ricardo Antonio Salido-Ruiz, Sulema Torres-Ramos, Israel Román-Godínez · 2025 · Journal of Imaging Informatics in Medicine
81. LungCTSeg-Net: Lung HRCT Image Segmentation Using Learning Approach
    Vanita Dnyandev Jadhav, Lalit Vasantrao Patil · 2025 · Journal of Pharmacology and Pharmacotherapeutics
82. Introduction to artificial intelligence in multi-omics analysis
    Arpan Saha, Rajat Kumar Pal, Sudipto Saha · 2026 · Progress in molecular biology and translational science
83. Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images
    Sunita Agarwala, Abhishek Kumar, Debashis Nandi, Ashis Kumar Dhara, Anup Kumar Sadhu, Sumitra Basu Thakur, Ashok Kumar Bhadra · 2018 · Communications in computer and information science
84. Image reconstruction using a refined Res-UNet model for medical image retrieval
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85. Content-based medical image retrieval system based on gradient orientation and edge information
    Pranjit Das · 2018 · Anatomical Science
86. EDR: Enriched Deep Residual Framework with Image Reconstruction for Medical Image Retrieval
    P. Rohini, Shoba Bindu Chigarapalle · 2022 · Communications in computer and information science
87. Automatic Cluster Selection in K-Means Lung Segmentation
    Natanael Hernández-Vázquez, Stewart R. Santos, Ricardo Antonio Salido-Ruiz, Sulema Torres-Ramos, Israel Román-Godínez · 2023 · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
88. Idiopathic Pulmonary Fibrosis
    Sudipto Saha, Sreyashi Majumdar, Parthasarathi Bhattacharyya · 2023 · Springer eBooks
89. A review on respiratory sound analysis using machine learning
    Gökhan Altan, Yakup Kutlu · 2016 · National Biomedical Engineering Meeting
90. Characterisation of radiological imaging biomarkers for the identifications of interstitial lung diseases (ILDs) for developing countries
    Smriti Mishra, Mohammad Imran Shah, Malay S. Sarkar · 2016 · International Conference on Parallel, Distributed and Grid Computing (PDGC)
91. Localization of lung fields in HRCT images using a deep convolution neural network
    Ashis Kumar Dhara, Abhishek Kumar, Sunita Agarwala, Debashis Nandi, Sudipta Mukhopadhyay, Mandeep Kumar Garg, Niranjan K. Khandelwal, Naveen Kalra · 2018 · SPIE Medical Imaging: Computer-Aided Diagnosis
92. Segmentation of Diffuse Lung Abnormality Patterns on Computed Tomography Images using Partially Supervised Learning
    Yuki Suzuki, Shoji Kido, Shingo Mabu, Masahiro Yanagawa, Noriyuki Tomiyama, Yoshinobu Sato · 2022 · Advanced Biomedical Engineering
93. Transitive Transfer Learning for Lungs CT Segmentation
    Victor M. Sineglazov, Olexander Klanovets, Kirill Riazanovskiy · 2022 · IEEE International Conference on System Analysis & Intelligent Computing (SAIC)
94. Lung Segmentation Using a Fully Convolutional Neural Network with Weekly Supervision
    Yu‐An Huang, Fugen Zhou · 2018 · International Conference on Biomedical Imaging, Signal Processing (ICBSP)
95. Towards Fibrotic Tissue Automatic Estimation in Computer Tomography Interstitial Lung Disease
    Natanael Hernández-Vázquez, Stewart R. Santos, Daniel Hernández-Gordillo, Ricardo Antonio Salido-Ruiz, Sulema Torres-Ramos, Israel Román-Godínez · 2023 · IEEE EMBS R9 Conference
96. Statistical and Texture Features to Characterize DILD Radiological Findings
    María Fernanda López-Arámburo, Stewart R. Santos, Natanael Hernández-Vázquez, Ricardo Antonio Salido-Ruiz, Sulema Torres-Ramos, Israel Román-Godínez · 2025 · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
97. Advancing Interstitial Lung Disease Diagnosis: a CNN Approach for High-Resolution Computed Tomography Image Classification
    József Palatka, Lehel Dénes-Fazakas, Levente Kovács, László Sz. Szilágyi · 2025 · IEEE International Conference on Intelligent Engineering Systems (INES)
98. Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis
    Ethan Dack, Lorenzo Brigato, Vasilis Dedousis, Janine Gote-Schniering, C. Magnin, Hanno Hoppe, Aristomenis Konstantinos Exadaktylos, Manuela Funke-Chambour, Thomas Geiser, Andreas Christe et al. · 2025 · Lecture notes in computer science
99. Automatic Detection of Bacterial and Viral Pneumonia from X-Ray Scans
    Róbert Roman, Levente Kovács, László Sz. Szilágyi · 2026 · IEEE International Conference on Computational Cybernetics (ICCC)
100. Automatic lung segmentation via enhanced deep convolutional neural network and filtering
     Caixia Liu, Zhu Y, Jie Song · 2026 · Biomedical Signal Processing and Control