Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Yu-Dong Zhang

Yu-Dong Zhang
Alert button

Deep Learning for Brain Age Estimation: A Systematic Review


Dec 07, 2022
M. Tanveer, M. A. Ganaie, Iman Beheshti, Tripti Goel, Nehal Ahmad, Kuan-Ting Lai, Kaizhu Huang, Yu-Dong Zhang, Javier Del Ser, Chin-Teng Lin

Add code
Alert button

Figure 1 for Deep Learning for Brain Age Estimation: A Systematic Review
Figure 2 for Deep Learning for Brain Age Estimation: A Systematic Review
Figure 3 for Deep Learning for Brain Age Estimation: A Systematic Review
Figure 4 for Deep Learning for Brain Age Estimation: A Systematic Review

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review


Oct 26, 2022
Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Niloufar Delfan, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Yu-Dong Zhang, Shui-Hua Wang, Juan M. Gorriz, Hamid Alinejad Rokny, U. Rajendra Acharya

Add code
Alert button

Figure 1 for Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review
Figure 2 for Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review
Figure 3 for Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review
Figure 4 for Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence


Oct 26, 2022
Mahboobeh Jafari, Afshin Shoeibi, Navid Ghassemi, Jonathan Heras, Abbas Khosravi, Sai Ho Ling, Roohallah Alizadehsani, Amin Beheshti, Yu-Dong Zhang, Shui-Hua Wang, Juan M. Gorriz, U. Rajendra Acharya, Hamid Alinejad Rokny

Add code
Alert button

Figure 1 for Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence
Figure 2 for Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence
Figure 3 for Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence
Figure 4 for Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation


Nov 30, 2021
Jin Hong, Yu-Dong Zhang, Weitian Chen

Add code
Alert button

Figure 1 for Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation
Figure 2 for Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation
Figure 3 for Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation
Figure 4 for Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining


Mar 09, 2021
Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu

Add code
Alert button

Figure 1 for Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
Figure 2 for Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
Figure 3 for Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
Figure 4 for Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images


Mar 04, 2021
Juan E. Arco, Andrés Ortiz, Javier Ramírez, Francisco J. Martínez-Murcia, Yu-Dong Zhang, Jordi Broncano, M. Álvaro Berbís, Javier Royuela-del-Val, Antonio Luna, Juan M. Górriz

Add code
Alert button

Figure 1 for Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images
Figure 2 for Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images
Figure 3 for Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images
Figure 4 for Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images
* 15 pages, 9 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images


Nov 27, 2020
Juan E. Arco, A. Ortiz, J. Ramirez, F. J. Martinez-Murcia, Yu-Dong Zhang, Juan M. Gorriz

Add code
Alert button

Figure 1 for Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
Figure 2 for Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
Figure 3 for Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
Figure 4 for Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
* 1 Table, 7 Figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email