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Accurate Detection of Septal Defects With Fetal Ultrasonography Images Using Deep Learning-Based Multiclass Instance Segmentation.

S. Nurmaini, M. Rachmatullah, A. Sapitri, A. Darmawahyuni, A. Jovandy, Firdaus, B. Tutuko, and R. Passarella. IEEE Access, (2020)

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Maulidan Firdaus

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A Review on the Application of Internet of Medical Things in Wearable Personal Health Monitoring: A Cloud-Edge Artificial Intelligence Approach.K. Putra, A. Arrayyan, N. Hayati, Firdaus, C. Damarjati, A. Bakar, and H. Chen. IEEE Access, (2024)An improved semantic segmentation with region proposal network for cardiac defect interpretation.S. Nurmaini, B. Tama, M. Rachmatullah, A. Darmawahyuni, A. Sapitri, Firdaus, and B. Tutuko. Neural Comput. Appl., 34 (16): 13937-13950 (2022)Optical Network Design for 4G LTE.Firdaus, R. Asyari, and E. Indarto. CoRR, (2022)CervicoXNet: an automated cervicogram interpretation network.S. Nurmaini, M. Rachmatullah, P. Agustiansyah, R. Partan, B. Tutuko, D. Rini, A. Darmawahyuni, Firdaus, A. Sapitri, and A. Arum. Medical Biol. Eng. Comput., 61 (9): 2405-2416 (September 2023)Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithm.A. Darmawahyuni, S. Nurmaini, M. Rachmatullah, P. Avi, S. Teguh, A. Sapitri, B. Tutuko, and Firdaus. BMC Medical Informatics Decis. Mak., 23 (1): 139 (December 2023)Deep Learning-Based Computer-Aided Fetal Echocardiography: Application to Heart Standard View Segmentation for Congenital Heart Defects Detection.S. Nurmaini, M. Rachmatullah, A. Sapitri, A. Darmawahyuni, B. Tutuko, Firdaus, R. Partan, and N. Bernolian. Sensors, 21 (23): 8007 (2021)Automatic echocardiographic anomalies interpretation using a stacked residual-dense network model.S. Nurmaini, A. Sapitri, B. Tutuko, M. Rachmatullah, D. Rini, A. Darmawahyuni, Firdaus, S. Mandala, R. Nova, and N. Bernolian. BMC Bioinform., 24 (1): 365 (December 2023)Augmented Reality Technology as a Complement on Graphic Design to Face Revolution Industry 4.0 Learning and Competence: The Development and Validity.A. Huda, N. Azhar, A. Almasri, R. Wulansari, A. Mubai, R. Sakti, Firdaus, and S. Hartanto. Int. J. Interact. Mob. Technol., 15 (5): 116-126 (2021)Accurate Indoor-Positioning Model Based on People Effect and Ray-Tracing Propagation.Firdaus, N. Ahmad, and S. Sahibuddin. Sensors, 19 (24): 5546 (2019)Accurate Fetal QRS-Complex Classification from Abdominal Electrocardiogram Using Deep Learning.A. Darmawahyuni, B. Tutuko, S. Nurmaini, M. Rachmatullah, M. Ardiansyah, Firdaus, A. Sapitri, and A. Islami. Int. J. Comput. Intell. Syst., 16 (1): 158 (December 2023)

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Accurate Detection of Septal Defects With Fetal Ultrasonography Images Using Deep Learning-Based Multiclass Instance Segmentation.

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Maulidan Firdaus

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Accurate Detection of Septal Defects With Fetal Ultrasonography Images Using Deep Learning-Based Multiclass Instance Segmentation.

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Maulidan Firdaus

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Disambiguation

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Accurate Detection of Septal Defects With Fetal Ultrasonography Images Using Deep Learning-Based Multiclass Instance Segmentation.