1 Nov 20251cites
U‐Net‐Based Fetal Head Circumference Segmentation With Synthetic‐Driven Generation Data AugmentationPublisher siteInternational Journal of Imaging Systems and Technology, Fetal and Pediatric Neurological Disorders
Active, last published 2026
3
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32
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01 · About the work
What I study
research summary for Oussama Mahboub will appear here once their profile is updated.
02 · Reach
Publication output and reach
Oussama's work has been cited 32 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
04 · Where I am
Affiliations
Affiliation on published researchAbdelmalek Essaâdi University, MoroccoDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
8 works1 Jul 2025
Active Learning and Adaptive Semi-Supervised Approach for Medical Image SegmentationPublisher site27 May 20252cites
Adaptive transfer learning using SegFormer for imbalanced pixel in medical image segmentationPublisher siteSignal Image and Video Processing, Brain Tumor Detection and Classification
16 Apr 20242cites
Unleashing the potential of applied UNet architectures and transfer learning in teeth segmentation on panoramic radiographsPublisher siteIntelligenza Artificiale, Dental Radiography and Imaging
1 Jan 2024
Enhancing Dental Radiography: Teeth Instance Segmentation in Panoramic X-RaysPublisher siteLecture notes in networks and systems, Dental Radiography and Imaging
1 Jan 2024Open access20cites
Review of Dental Diagnosis by Deep Learning Models: Trends, Applications and ChallengesPublisher siteProcedia Computer Science, Dental Radiography and Imaging
1 Jan 2024Open access4cites
Fine-tuned SegFormer for enhanced fetal head segmentationPublisher siteProcedia Computer Science, Fetal and Pediatric Neurological Disorders
1 Jan 20233cites
A Survey of Deep Learning Based Natural Language Processing in Smart HealthcarePublisher siteLecture notes in networks and systems, Topic Modeling
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