( en | de | ru )

 

Disambiguation of "Ghassemi, Navid"

Author of the publication

copydeleteadd this publication to your clipboard
Automatic Diagnosis of Myocarditis in Cardiac Magnetic Images Using CycleGAN and Deep PreTrained Models.

, , , , and . IWINAC (1), volume 13258 of Lecture Notes in Computer Science, page 145-155. Springer, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Navid Ramezanian

Stäbchenförmigen Stäbchenförmige Moleküle mit Nitroxyl-Radikalen für die Untersuchung der molekularen Flexibilität. Uni Bielefeld, (2007)

Marzyeh Ghassemi

Amir-Ali Navidy

Mojdeh Heidary Navid

Navid Khorshidi

 

Other publications of authors with the same name

Classification of Tuberculosis Type on CT Scans of Lungs using a fusion of 2D and 3D Deep Convolutional Neural Networks., , , and . CLEF (Working Notes), volume 2936 of CEUR Workshop Proceedings, page 1133-1144. CEUR-WS.org, (2021)Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images., , and . Biomed. Signal Process. Control., (2020)Automatic Diagnosis of Myocarditis in Cardiac Magnetic Images Using CycleGAN and Deep PreTrained Models., , , , and . IWINAC (1), volume 13258 of Lecture Notes in Computer Science, page 145-155. Springer, (2022)Automatic Diagnosis of Schizophrenia in EEG Signals Using Functional Connectivity Features and CNN-LSTM Model., , , , , and . IWINAC (1), volume 13258 of Lecture Notes in Computer Science, page 63-73. Springer, (2022)Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models., , , , , , , , , and 1 other author(s). Frontiers Neuroinformatics, (2021)Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models., , , , , , , , , and . CoRR, (2021)Automated detection and forecasting of COVID-19 using deep learning techniques: A review., , , , , , , , , and 5 other author(s). Neurocomputing, (2024)Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works., , , , , , , , , and 4 other author(s). CoRR, (2021)A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection., and . CoRR, (2022)