| 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] |
|---|---|
| URL: | https://www.wjgnet.com/2307-8960/full/v11/i16/3725.htm |
| Number | Citing Articles |
| 1 |
M. Di Stefano, T. Ciceri, A. Leemans, S.M.C. de Zwarte, A. De Luca, D. Peruzzo. Diffusion MRI of the prenatal fetal brain: a methodological scoping review. NeuroImage 2025; 320 doi: 10.1016/j.neuroimage.2025.121453
|
| 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) doi: 10.3390/diagnostics13142355
|
| 3 |
Alessia Guarnera, Antonio Napolitano, Flavia Liporace, Fabio Marconi, Maria Camilla Rossi-Espagnet, Carlo Gandolfo, Andrea Romano, Alessandro Bozzao, Daniela Longo. The Expanding Frontier: The Role of Artificial Intelligence in Pediatric Neuroradiology. Children 2025; 12(9) doi: 10.3390/children12091127
|
| 4 |
Romain Corroenne, Laurence Bussieres, David Grevent, Laurent J. Salomon. Artificial Intelligence in Fetal MRI: Principles, Applications, Limitations, and Future Directions. Clinical Obstetrics & Gynecology 2026; 69(1) doi: 10.1097/GRF.0000000000000987
|
| 5 |
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) doi: 10.1542/neo.26-8-041
|
| 6 |
Daphna Link‐Sourani, Netanell Avisdris, Xingfeng Shao, Dana Schonberger, Aviad Rabinowich, Bella Spector Fadida, Yair Wexler, Leo Joskowicz, Liat Ben Sira, Liran Hiersch, Danny J. J. Wang, Dafna Ben Bashat. In Vivo Assessment of Placental Structure and Perfusion in Late‐Gestation Pregnancies and Their Association With Fetal Growth. NMR in Biomedicine 2026; 39(8) doi: 10.1002/nbm.70346
|
| 7 |
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) doi: 10.3390/diagnostics15101295
|
| 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) doi: 10.59324/ejmhr.2025.3(4).19
|
| 9 |
Yen Vu Thi Hai, Duy Le Cao Phuong, Quan Vo Duy. Applications of artificial intelligence in fetal MRI: a systematic review. Egyptian Journal of Radiology and Nuclear Medicine 2025; 56(1) doi: 10.1186/s43055-025-01643-6
|
| 10 |
Viswanathan R, Anirudh N M, Sreenivas Reddy Sagili, Mudunuru Suneel, Chaliki Archana, Keerthana N V. Detecting Fetal Brain Abnormalities from Ultrasound Images by Deep Learning Methods. 2025 7th International Conference on Innovative Data Communication Technologies and Application (ICIDCA) 2025; doi: 10.1109/ICIDCA66325.2025.11280372
|
| 11 |
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) doi: 10.3390/diagnostics14040430
|
| 12 |
Shuai Luo, Meng Liu, Nian-Zu Lv, Guo-Wei Dai, Kai-Jun Ma, Meng Jun Zhan, Yu-Xiao Sun, Hui-Kun Yang, Zhen-Hua Deng, Yuan-He Wang, Hu Chen, Fei Fan. Deep learning based gestational age estimation from multi-view fetal brain magnetic resonance imaging. Pediatric Radiology 2026; 56(5) doi: 10.1007/s00247-026-06536-y
|
| 13 |
Abha Rai, Mary Lehman Held, Maria Vidal de Haymes, Ali Tarokh, Shakila Fro, Farzana Farzam, Elisa Levya Cea, Alix Sanchez Gomez, Maddie Juarez, George K. Thiruvathukal, Paula Tallman. Development of a Culturally Responsive Intervention for Stronger Communities. Families in Society: The Journal of Contemporary Social Services 2026; doi: 10.1177/10443894251332666
|
| 14 |
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
|
| 15 |
Sayma Alam Suha, Rifat Shahriyar. Deep learning for fetal brain imaging: A systematic review and framework towards privacy-preserving neurodevelopmental informatics. Neuroscience Informatics 2025; 5(4) doi: 10.1016/j.neuri.2025.100241
|
| 16 |
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
|
| 17 |
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
|
| 18 |
Mark S. Scher, Shazia Adalat, Harris Eyre, Michael E. Msall, Sharon L. Ramey, Craig T. Ramey, Ana Cristancho, Anastasiya Markvarde. Transdisciplinary fetal-neonatal neurology training integrates women’s and children’s health with life-course brain capital strategies: a narrative review. Frontiers in Neurology 2026; 17 doi: 10.3389/fneur.2026.1756627
|
| 19 |
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) doi: 10.3390/reprodmed5030012
|
| 20 |
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) doi: 10.3174/ajnr.A7978
|
| 21 |
Jenna H. Chin, Madeleine K. Wyburd, Vladislav Ayzenberg, Laurie Bayet, Berkin Bilgic, Emily M. Chen, Yuting Chen, Áine Dineen, Shohei Fujita, Janelle Liu, Yohan Jun, M. Catalina Camacho, Lilla Zöllei. Deep learning in fetal, infant, and toddler neuroimaging research. Developmental Cognitive Neuroscience 2026; 78 doi: 10.1016/j.dcn.2026.101680
|