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European Journal of Medical Research
|
March 6, 2026
Multimodal brain tumor segmentation and classification based on optimized DeepLabV3 + and fused fire module with self-attention
Muhammad Sami Ullah, Muhammad Attique Khan, Yunyoung Nam, et al.
Chemosphere
|
October 9, 2007
Prediction of CO maximum ground level concentrations in the Bay of Algeciras, Spain using artificial neural networks
M L Martín, I J Turias, F J González, et al.
Scientific Data
|
April 9, 2026
PhysioMotion Artifact: A task-driven EEG dataset with point-wise motion artifact annotations
Chunfeng Yang, Jiangwei Yu, Aonan He, et al.
Brain : a Journal of Neurology
|
October 13, 2023
Phenotype and natural history of mitochondrial membrane protein-associated neurodegeneration
Vassilena Iankova, Peter Sparber, Mohammad Rohani, et al.
Contrast Media & Molecular Imaging
|
January 17, 2019
Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging
Ignacio Alvarez Illan, Javier Ramirez, J M Gorriz, et al.
Cognitive Neurodynamics
|
November 17, 2023
Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
Physiological Measurement
|
May 2, 2024
ELRL-MD: a deep learning approach for myocarditis diagnosis using cardiac magnetic resonance images with ensemble and reinforcement learning integration
Adele Mirzaee Moghaddam Kasmaee, Alireza Ataei, Seyed Vahid Moravvej, et al.
Computers in Biology and Medicine
|
May 15, 2022
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, et al.
Results in Physics
|
July 5, 2021
Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods
Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, et al.
Scientific Reports
|
July 29, 2021
Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients
Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi, et al.
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Search research articles
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Showing results (11-20 of 23) with videos related to
Sort By:
Page
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European Journal of Medical Research
|
March 6, 2026
Multimodal brain tumor segmentation and classification based on optimized DeepLabV3 + and fused fire module with self-attention
Muhammad Sami Ullah, Muhammad Attique Khan, Yunyoung Nam, et al.
Chemosphere
|
October 9, 2007
Prediction of CO maximum ground level concentrations in the Bay of Algeciras, Spain using artificial neural networks
M L Martín, I J Turias, F J González, et al.
Scientific Data
|
April 9, 2026
PhysioMotion Artifact: A task-driven EEG dataset with point-wise motion artifact annotations
Chunfeng Yang, Jiangwei Yu, Aonan He, et al.
Brain : a Journal of Neurology
|
October 13, 2023
Phenotype and natural history of mitochondrial membrane protein-associated neurodegeneration
Vassilena Iankova, Peter Sparber, Mohammad Rohani, et al.
Contrast Media & Molecular Imaging
|
January 17, 2019
Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging
Ignacio Alvarez Illan, Javier Ramirez, J M Gorriz, et al.
Cognitive Neurodynamics
|
November 17, 2023
Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
Physiological Measurement
|
May 2, 2024
ELRL-MD: a deep learning approach for myocarditis diagnosis using cardiac magnetic resonance images with ensemble and reinforcement learning integration
Adele Mirzaee Moghaddam Kasmaee, Alireza Ataei, Seyed Vahid Moravvej, et al.
Computers in Biology and Medicine
|
May 15, 2022
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, et al.
Results in Physics
|
July 5, 2021
Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods
Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, et al.
Scientific Reports
|
July 29, 2021
Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients
Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi, et al.
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of 3