Publikationen, an denen er mitarbeitet A. Alberich Bayarri (81)

2024

  1. Design and validation of a decision support checklist for efficient resource allocation in research projects during proposal preparation

    European Journal of Radiology, Vol. 173

  2. Development and validation of an image biomarker to identify metabolic dysfunction associated steatohepatitis: MR–MASH score

    Liver International, Vol. 44, Núm. 1, pp. 202-213

  3. METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

    Insights into Imaging, Vol. 15, Núm. 1

  4. Reproducibility Analysis of Radiomic Features on T2-weighted MR Images after Processing and Segmentation Alterations in Neuroblastoma Tumors

    Radiology: Artificial Intelligence, Vol. 6, Núm. 4

2023

  1. Automated prostate multi-regional segmentation in magnetic resonance using fully convolutional neural networks

    European Radiology, Vol. 33, Núm. 7, pp. 5087-5096

  2. Brain network functional connectivity changes in patients with anterior knee pain: a resting-state fMRI exploratory study

    European Radiology Experimental, Vol. 7, Núm. 1

  3. Imaging biomarkers in oncology

    Multimodality Imaging and Intervention in Oncology (Springer International Publishing), pp. 551-571

  4. Independent Validation of a Deep Learning nnU-Net Tool for Neuroblastoma Detection and Segmentation in MR Images

    Cancers, Vol. 15, Núm. 5

  5. MAIC–10 brief quality checklist for publications using artificial intelligence and medical images

    Insights into Imaging, Vol. 14, Núm. 1

  6. Pancreatic steatosis and iron overload increases cardiovascular risk in non-alcoholic fatty liver disease

    Frontiers in Endocrinology, Vol. 14

  7. Quantification of Liver Iron Overload with MRI: Review and Guidelines from the ESGAR and SAR

    Radiology, Vol. 307, Núm. 1, pp. e221856

2022

  1. Automated Cervical Spinal Cord Segmentation in Real-World MRI of Multiple Sclerosis Patients by Optimized Hybrid Residual Attention-Aware Convolutional Neural Networks

    Journal of Digital Imaging, Vol. 35, Núm. 5, pp. 1131-1142

  2. Automated Whole-Liver MRI Segmentation to Assess Steatosis and Iron Quantification in Chronic Liver Disease

    Radiology, Vol. 302, Núm. 2, pp. 345-354

  3. Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions

    Information Fusion, Vol. 82, pp. 99-122

  4. Knee Cartilage and Subchondral Bone Evaluations by Magnetic Resonance Imaging Correlate with Histological Biomarkers in an Osteoarthritis Rabbit Model

    Cartilage, Vol. 13, Núm. 3

  5. Pancreatic cancer, radiomics and artificial intelligence

    British Journal of Radiology, Vol. 95, Núm. 1137

  6. The radiology report: structure, style, and contents

    Radiologia, Vol. 64, pp. 186-193

  7. Theranostic Contribution of Extracellular Matrix Metalloprotease Inducer-Paramagnetic Nanoparticles Against Acute Myocardial Infarction in a Pig Model of Coronary Ischemia-Reperfusion

    Circulation. Cardiovascular imaging, Vol. 15, Núm. 6, pp. e013379

2021

  1. Digital pathology enables automated and quantitative assessment of inflammatory activity in patients with chronic liver disease

    Biomolecules, Vol. 11, Núm. 12

  2. Digital pathology: accurate technique for quantitative assessment of histological features in metabolic-associated fatty liver disease

    Alimentary Pharmacology and Therapeutics, Vol. 53, Núm. 1, pp. 160-171