Tag: magnetic resonance imaging

Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis – a systematic review (2025)

Frontiers in Neuroscience Authors Filip Orzan, Ș. Iancu, L. Dioşan, Z. Bálint Abstract Introduction Magnetic resonance imaging (MRI) is conventionally used for the detection and diagnosis of multiple sclerosis (MS), often complemented by lumbar puncture—a highly invasive method—to validate the diagnosis. Additionally, MRI is periodically repeated to monitor disease progression and treatment efficacy. Recent…

Automatic Characterization of Prostate Suspect Lesions on T2-Weighted Image Acquisitions Using Texture Features and Machine-Learning Methods: A Pilot Study (2025)

Diagnostics Authors T. Telecan, C. Caraiani, B. Boca, Roxana Sipos-Lascu, L. Dioşan, Z. Bálint, Raluca Maria Hendea, I. Andraș, Nicolae Crișan, M. Lupșor-Platon Abstract Background: Prostate cancer (PCa) is the most frequent neoplasia in the male population. According to the International Society of Urological Pathology (ISUP), PCa can be divided into two major groups,…

Automatic Classification of Signal and Noise in Functional Magnetic Resonance Imaging Scans Using Convolutional Neural Networks (2024)

Ideal Authors Georgian Anghelescu, Camelia Chira, Kristoffer N. T. Månsson Abstract The integration of Artificial Intelligence (AI), particularly deep learning models like VGG16 and ResNet50, in the analysis of functional magnetic resonance imaging (fMRI) data has significantly advanced our understanding of brain functionality and the diagnosis of neurological disorders. This paper explores the application…

Improving Unsupervised Graph-Based Skull Stripping: Enhancements and Comparative Analysis With State-Of-The-Art Methods (2024)

International Workshop on Informatics & Data-Driven Medicine Authors Maria Popa, A. Andreica Abstract Brain disorders are increasingly prevalent today, making accurate brain segmentation essential for effective treatment andrecovery. This paperintroducesanenhancedunsupervisedgraph-basedbrainsegmentationmethod that employs an ellipsoid to select the nodes forming the graph. The method was rigorously evaluated on T1 and T2 modalities using four diverse…

A Light, 3D UNet-based Architecture for Fully Automatic Segmentation of Prostate Lesions from T2-MRI Images. (2023)

Current medical imaging Authors Z. Bálint, L.G. Coroama, L. Dioşan, T. Telecan, I. Andraș, N. Crisan, A. Andreica, C. Caraiani, A. Lebovici, B. Boca Abstract INTRODUCTION Prostate magnetic resonance imaging (MRI) has been recently integrated into the pathway of diagnosis of prostate cancer (PCa). However, the lack of an optimal contrast-to-noise ratio hinders automatic…

Fully automated bladder tumor segmentation from T2 MRI images using 3D U-Net algorithm (2023)

Frontiers in Oncology Authors Diana Mihaela Coroamă, L. Dioşan, T. Telecan, I. Andraș, N. Crisan, Paul Medan, A. Andreica, C. Caraiani, A. Lebovici, B. Boca, Z. Bálint Abstract Introduction Bladder magnetic resonance imaging (MRI) has been recently integrated in the diagnosis pathway of bladder cancer. However, automatic recognition of suspicious lesions is still challenging.…

MRI-Based Radiomics in Bladder Cancer: A Systematic Review and Radiomics Quality Score Assessment (2023)

Diagnostics Authors B. Boca, C. Caraiani, T. Telecan, R. Pintican, A. Lebovici, I. Andraș, N. Crisan, Alexandru Pavel, L. Dioşan, Z. Bálint, M. Lupșor-Platon, M. Buruian Abstract Background: With the recent introduction of vesical imaging reporting and data system (VI-RADS), magnetic resonance imaging (MRI) has become the main imaging method used for the preoperative…

More than Meets the Eye: Using Textural Analysis and Artificial Intelligence as Decision Support Tools in Prostate Cancer Diagnosis—A Systematic Review (2022)

Journal of Personalized Medicine Authors T. Telecan, I. Andraș, N. Crisan, Lorin Giurgiu, E. Căta, C. Caraiani, A. Lebovici, B. Boca, Z. Bálint, L. Dioşan, M. Lupșor-Platon Abstract Introduction: Multiparametric magnetic resonance imaging (mpMRI) is the main imagistic tool employed to assess patients suspected of harboring prostate cancer (PCa), setting the indication for targeted…