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Journal of Imaging, Volume 11, Issue 10

October 2025 - 47 articles

Cover Story: This study presents a hierarchical deep learning approach for classifying skeletal abnormalities in mice using multi-view X-ray images. By comparing convolutional autoencoders and ConvNeXt architectures, the research demonstrates how multi-level feature extraction enhances model performance and interpretability. The results highlight the potential of modern computer vision methods to advance high-throughput phenotyping and preclinical image analysis. View this paper
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Articles (47)

  • Review
  • Open Access
1,339 Views
21 Pages

Current Trends and Future Opportunities of AI-Based Analysis in Mesenchymal Stem Cell Imaging: A Scoping Review

  • Maksim Solopov,
  • Elizaveta Chechekhina,
  • Viktor Turchin,
  • Andrey Popandopulo,
  • Dmitry Filimonov,
  • Anzhelika Burtseva and
  • Roman Ishchenko

18 October 2025

This scoping review explores the application of artificial intelligence (AI) methods for analyzing mesenchymal stem cells (MSCs) images. The aim of this study was to identify key areas where AI-based image processing techniques are utilized for MSCs...

  • Article
  • Open Access
827 Views
22 Pages

Federated Self-Supervised Few-Shot Face Recognition

  • Nursultan Makhanov,
  • Beibut Amirgaliyev,
  • Talgat Islamgozhayev and
  • Didar Yedilkhan

18 October 2025

This paper presents a systematic framework that combines federated learning, self-supervised learning, and few-shot learning paradigms for privacy-preserving face recognition. We use the large-scale CASIA-WebFace dataset for self-supervised pre-train...

  • Article
  • Open Access
647 Views
28 Pages

Preclinical Application of Computer-Aided High-Frequency Ultrasound (HFUS) Imaging: A Preliminary Report on the In Vivo Characterization of Hepatic Steatosis Progression in Mouse Models

  • Sara Gargiulo,
  • Matteo Gramanzini,
  • Denise Bonente,
  • Tiziana Tamborrino,
  • Giovanni Inzalaco,
  • Lisa Gherardini,
  • Lorenzo Franci,
  • Eugenio Bertelli,
  • Virginia Barone and
  • Mario Chiariello

17 October 2025

Metabolic dysfunction-associated steatotic liver disease (MASLD) is one of the most common chronic liver disorders worldwide and can lead to inflammation, fibrosis, and liver cancer. To better understand the impact of an unbalanced hypercaloric diet...

  • Article
  • Open Access
714 Views
19 Pages

Unsupervised Segmentation of Bolus and Residue in Videofluoroscopy Swallowing Studies

  • Farnaz Khodami,
  • Mehdy Dousty,
  • James L. Coyle and
  • Ervin Sejdić

17 October 2025

Bolus tracking is a critical component of swallowing analysis, as the speed, course, and integrity of bolus movement from the mouth to the stomach, along with the presence of residue, serve as key indicators of potential abnormalities. Existing machi...

  • Article
  • Open Access
696 Views
25 Pages

ImbDef-GAN: Defect Image-Generation Method Based on Sample Imbalance

  • Dengbiao Jiang,
  • Nian Tao,
  • Kelong Zhu,
  • Yiming Wang and
  • Haijian Shao

16 October 2025

In industrial settings, defect detection using deep learning typically requires large numbers of defective samples. However, defective products are rare on production lines, creating a scarcity of defect samples and an overabundance of samples that c...

  • Article
  • Open Access
838 Views
13 Pages

Automatic Brain Tumor Segmentation in 2D Intra-Operative Ultrasound Images Using Magnetic Resonance Imaging Tumor Annotations

  • Mathilde Gajda Faanes,
  • Ragnhild Holden Helland,
  • Ole Solheim,
  • Sébastien Muller and
  • Ingerid Reinertsen

16 October 2025

Automatic segmentation of brain tumors in intra-operative ultrasound (iUS) images could facilitate localization of tumor tissue during the resection surgery. The lack of large annotated datasets limits the current models performances. In this paper,...

  • Communication
  • Open Access
731 Views
11 Pages

15 October 2025

Accurate segmentation of surgical instruments in endoscopic videos is crucial for robot-assisted surgery and intraoperative analysis. This paper presents a Segment-then-Classify framework that decouples mask generation from semantic classification to...

  • Article
  • Open Access
1,015 Views
11 Pages

Radiographic Markers of Hip Dysplasia and Femoroacetabular Impingement Are Associated with Deterioration in Acetabular and Femoral Cartilage Quality: Insights from T2 MRI Mapping

  • Adam Peszek,
  • Kyle S. J. Jamar,
  • Catherine C. Alder,
  • Trevor J. Wait,
  • Caleb J. Wipf,
  • Carson L. Keeter,
  • Stephanie W. Mayer,
  • Charles P. Ho and
  • James W. Genuario

14 October 2025

Femoroacetabular impingement (FAI) and hip dysplasia have been shown to increase the risk of hip osteoarthritis in affected individuals. MRI with T2 mapping provides an objective measure of femoral and acetabular articular cartilage tissue quality. T...

  • Article
  • Open Access
539 Views
13 Pages

CT Imaging Biomarkers in Rhinogenic Contact Point Headache: Quantitative Phenotyping and Diagnostic Correlations

  • Salvatore Lavalle,
  • Salvatore Ferlito,
  • Jerome Rene Lechien,
  • Mario Lentini,
  • Placido Romeo,
  • Alberto Maria Saibene,
  • Gian Luca Fadda and
  • Antonino Maniaci

14 October 2025

Rhinogenic contact point headache (RCPH) represents a diagnostic challenge due to different anatomical presentations and unstandardized imaging markers. This prospective multicenter study involving 120 patients aimed to develop and validate a CT-base...

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J. Imaging - ISSN 2313-433X