For: | Vahedifard F, Adepoju JO, Supanich M, Ai HA, Liu X, Kocak M, Marathu KK, Byrd SE. Review of deep learning and artificial intelligence models in fetal brain magnetic resonance imaging. World J Clin Cases 2023; 11(16): 3725-3735 [PMID: 37383127 DOI: 10.12998/wjcc.v11.i16.3725] |
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URL: | https://www.wjgnet.com/2307-8960/full/v11/i16/3725.htm |
Number | Citing Articles |
1 |
Maryam Yeganegi, Mahsa Danaei, Sepideh Azizi, Fatemeh Jayervand, Reza Bahrami, Seyed Alireza Dastgheib, Heewa Rashnavadi, Ali Masoudi, Amirmasoud Shiri, Kazem Aghili, Mahood Noorishadkam, Hossein Neamatzadeh. Research advancements in the Use of artificial intelligence for prenatal diagnosis of neural tube defects. Frontiers in Pediatrics 2025; 13 doi: 10.3389/fped.2025.1514447
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2 |
Farzan Vahedifard, H. Asher Ai, Mark P. Supanich, Kranthi K. Marathu, Xuchu Liu, Mehmet Kocak, Shehbaz M. Ansari, Melih Akyuz, Jubril O. Adepoju, Seth Adler, Sharon Byrd. Automatic Ventriculomegaly Detection in Fetal Brain MRI: A Step-by-Step Deep Learning Model for Novel 2D-3D Linear Measurements. Diagnostics 2023; 13(14): 2355 doi: 10.3390/diagnostics13142355
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3 |
Mishu Mangla, Seetu Palo, Rohini Motwani, Annapurna Srirambhatla, Naina Kumar. Virtual Autopsy in Perinatal Pathology: Current Practices and the Need for Standardization. NeoReviews 2025; 26(8): e524 doi: 10.1542/neo.26-8-041
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4 |
Asmaa Jittou, Khalid El Fazazy, Jamal Riffi. Placenta segmentation redefined: review of deep learning integration of magnetic resonance imaging and ultrasound imaging. Visual Computing for Industry, Biomedicine, and Art 2025; 8(1) doi: 10.1186/s42492-025-00197-8
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5 |
Leon M Bischoff, Sebastian Nowak, Maximilian Mader, Maike Theis, Thomas Vollbrecht, Alexander Isaak, Daniel Kuetting, Claus C Pieper, Annegret Geipel, Florian Kipfmueller, Brigitte Strizek, Alois M Sprinkart, Julian A Luetkens. Fetal MRI deep learning segmentation of body and lung in congenital diaphragmatic hernia. Radiology Advances 2025; 2(1) doi: 10.1093/radadv/umae034
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6 |
Rakhee M. Bowker, Kranthi K. Marathu, Marissa Pharel, Jubril O. Adepoju, Farzan Vahedifard, Seth Adler, Mehmet Kocak, Xuchu Liu, Sharon E. Byrd. Utility of Biometric Measurements from Fetal Magnetic Resonance Imaging for Improved Antenatal Diagnosis of Dandy–Walker Spectrum Posterior Fossa Lesions. Diagnostics 2025; 15(10): 1295 doi: 10.3390/diagnostics15101295
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7 |
Farzan Vahedifard, Xuchu Liu, Kranthi K. Marathu, H. Asher Ai, Mark P. Supanich, Mehmet Kocak, Seth Adler, Shehbaz M. Ansari, Melih Akyuz, Jubril O. Adepoju, Sharon Byrd. Fetal Gestational Age Prediction in Brain Magnetic Resonance Imaging Using Artificial Intelligence: A Comparative Study of Three Biometric Techniques. Reproductive Medicine 2024; 5(3): 113 doi: 10.3390/reprodmed5030012
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8 |
Haitham Ahmed Najim, Lubna Abdul Kareem Habib, Farah Mohammed Habeeb Barakat. Fetal Precision Medicine: Ai-Driven Approaches for Early Detection of Congenital Anomalies. European Journal of Medical and Health Research 2025; 3(4): 118 doi: 10.59324/ejmhr.2025.3(4).19
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9 |
Farzan Vahedifard, Xuchu Liu, Jubril O. Adepoju, Shiqiao Zhao, H. Asher Ai, Kranthi K. Marathu, Mark Supanich, Sharon E. Byrd, Jie Deng. Automatic Localization of the Pons and Vermis on Fetal Brain MR Imaging Using a U-Net Deep Learning Model. American Journal of Neuroradiology 2023; 44(10): 1191 doi: 10.3174/ajnr.A7978
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10 |
Kranthi K. Marathu, Farzan Vahedifard, Mehmet Kocak, Xuchu Liu, Jubril O. Adepoju, Rakhee M. Bowker, Mark Supanich, Rosario M. Cosme-Cruz, Sharon Byrd. Fetal MRI Analysis of Corpus Callosal Abnormalities: Classification, and Associated Anomalies. Diagnostics 2024; 14(4): 430 doi: 10.3390/diagnostics14040430
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