[FG] Magnetic Resonance Physics and Methodology

Albano, D. et al. (2024) ‘How young radiologists use contrast media and manage adverse reactions: an international survey’, Insights into Imaging, 15(1). Available at: https://doi.org/10.1186/s13244-024-01658-z.

Kocak, B. et al. (2024) ‘METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII’, Insights into Imaging, 15(1). Available at: https://doi.org/10.1186/s13244-023-01572-w.

Akinci D’Antonoli, T. and Rudie, J.D. (2024) ‘Achieving More with Less: Combining Strong and Weak Labels for Intracranial Hemorrhage Detection’, Radiology: Artificial Intelligence, 6(6). Available at: https://doi.org/10.1148/ryai.240670.

Santinha, J. et al. (2024) ‘ESR Essentials: radiomics—practice recommendations by the European Society of Medical Imaging Informatics’, European Radiology [Preprint]. Available at: https://doi.org/10.1007/s00330-024-11093-9.

Woźnicki, Piotr et al. (2024) ‘Automatic structuring of radiology reports with on-premise open-source large language models’, European Radiology [Preprint]. Available at: https://doi.org/10.1007/s00330-024-11074-y.

Santini, Francesco et al. (2024) ‘ESR Essentials: advanced MR safety in vulnerable patients—practice recommendations by the European Society for Magnetic Resonance in Medicine and Biology’, European Radiology [Preprint]. Available at: https://doi.org/10.1007/s00330-024-11055-1.

Orso Pusterla et al. (2024) ‘An automated pipeline for computation and analysis of functional ventilation and perfusion lung MRI with matrix pencil decomposition: TrueLung’, Zeitschrift für Medizinische Physik [Preprint]. Available at: https://doi.org/10.1016/j.zemedi.2024.08.001.

Barzaghi, Leonardo et al. (2024) ‘Muscle diffusion tensor imaging in facioscapulohumeral muscular dystrophy’, Muscle & Nerve, 70(2), pp. 248–256. Available at: https://doi.org/10.1002/mus.28179.

Akinci D’Antonoli, T. and Bluethgen, C. (2024) ‘A New Era of Text Mining in Radiology with Privacy-Preserving LLMs’, Radiology: Artificial Intelligence, 6(4). Available at: https://doi.org/10.1148/ryai.240261.

Kocak, Burak et al. (2024) ‘Explanation and Elaboration with Examples for CLEAR (CLEAR-E3): an EuSoMII Radiomics Auditing Group Initiative’, European Radiology Experimental, 8(1). Available at: https://doi.org/10.1186/s41747-024-00471-z.

Burak Koçak, Tugba Akinci D’Antonoli and Renato Cuocolo (2024) ‘Exploring radiomics research quality scoring tools: a comparative analysis of METRICS and RQS’, Diagnostic and Interventional Radiology [Preprint]. Available at: https://doi.org/10.4274/dir.2024.242793.

Akinci D’Antonoli T. et al. (2024) ‘Towards reproducible radiomics research: introduction of a database for radiomics studies’, European Radiology, 34(1), pp. 436–443. Available at: https://doi.org/10.1007/s00330-023-10095-3.

Akinci D’Antonoli, T. and Mercaldo, N.D. (2024) ‘Reply to Letter to the Editor: “Obsolescence of nomograms in radiomics research”’, European Radiology [Preprint]. Available at: https://doi.org/10.1007/s00330-023-10570-x.

Barzaghi, Leonardo et al. (2024) ‘Myo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in neuromuscular disorders’, Computer Methods and Programs in Biomedicine [Preprint]. Available at: https://doi.org/https://doi.org/10.1016/j.cmpb.2024.108399.

Bieri, Oliver, Pusterla, Orso and Bauman, Grzegorz (2024) ‘Erratum to “Free-breathing half-radial dual-echo balanced steady-state free precession thoracic imaging with wobbling Archimedean spiral pole trajectories” [Z Med. Phys. 33 (2023) 220–229, (S0939388922000034), (10.1016/j.zemedi.2022.01.003)]’, Zeitschrift fur Medizinische Physik [Preprint]. Available at: https://doi.org/10.1016/j.zemedi.2024.07.003.

Bieri, Oliver, Weidensteiner, Claudia and Ganter, Carl (2024) ‘Robust T<inf>2</inf> estimation with balanced steady state free precession’, Magnetic Resonance in Medicine, null. Available at: https://doi.org/10.1002/mrm.30037.

Doellinger, Felix et al. (2024) ‘Contrast agent-free functional magnetic resonance imaging with matrix pencil decomposition to quantify abnormalities in lung perfusion and ventilation in patients with cystic fibrosis’, Frontiers in Medicine, 11. Available at: https://doi.org/10.3389/fmed.2024.1349466.

Doniselli, F.M. et al. (2024) ‘Quality assessment of the MRI-radiomics studies for MGMT promoter methylation prediction in glioma: a systematic review and meta-analysis’, European Radiology [Preprint]. Available at: https://doi.org/10.1007/s00330-024-10594-x.

Frauchiger, Bettina S. et al. (2024) ‘Lung structural and functional impairments in young children with cystic fibrosis diagnosed following newborn screening – A nationwide observational study’, Journal of Cystic Fibrosis [Preprint]. Available at: https://doi.org/10.1016/j.jcf.2024.05.010.

Gloor, Monika et al. (2024) ‘Longitudinal analysis of new multiple sclerosis lesions with magnetization transfer and diffusion tensor imaging’, European Radiology, 34, pp. 1680–1691. Available at: https://doi.org/10.1007/s00330-023-10173-6.

Kocak, B. et al. (2024) ‘Self-reported checklists and quality scoring tools in radiomics: a meta-research’, European Radiology [Preprint]. Available at: https://doi.org/10.1007/s00330-023-10487-5.

Lee, N.G. et al. (2024) ‘Replication of the bSTAR sequence and open-source implementation’, Magnetic Resonance in Medicine, 91, pp. 1464–1477. Available at: https://doi.org/10.1002/mrm.29947.

McGrath, Charles et al. (2024) ‘Self-gated cine phase-contrast balanced SSFP flow quantification at 0.55 T’, Magnetic Resonance in Medicine, 91, pp. 174–189. Available at: https://doi.org/10.1002/mrm.29837.

Merel Huisman and Tugba Akinci D’Antonoli (2024) ‘What a Radiologist Needs to Know About Radiomics, Standardization, and Reproducibility’, Radiology [Preprint]. Available at: https://doi.org/10.1148/radiol.232459.

Santini, F. (2024) ‘The scientific system must bend to avoid breaking’, European Radiology [Preprint]. Available at: https://doi.org/10.1007/s00330-024-10691-x.

Schäper, Jessica, Bauman, Grzegorz and Bieri, Oliver (2024) ‘Improved gray-white matter contrast using magnetization prepared fast imaging with steady-state free precession (MP-FISP) brain imaging at 0.55 T’, Magnetic Resonance in Medicine, 91, pp. 162–173. Available at: https://doi.org/10.1002/mrm.29838.

Schäper, Jessica and Bieri, Oliver (2024) ‘Myelin water imaging at 0.55 T using a multigradient-echo sequence’, Magnetic Resonance in Medicine, 91, pp. 1043–1056. Available at: https://doi.org/10.1002/mrm.29949.

Wendebourg, Maria Janina et al. (2024) ‘Cervical and thoracic spinal cord gray matter atrophy is associated with disability in patients with amyotrophic lateral sclerosis’, European Journal of Neurology, null. Available at: https://doi.org/10.1111/ene.16268.

Mumme, M. et al. (2024) ‘Engineered Cartilage from Nasal Chondrocytes for Knee Repair: Clinical Relevance of Tissue Maturation in a Randomized, Multicenter Phase 2 Trial’. Elsevier BV. Available at: https://doi.org/10.2139/ssrn.4797651.

Hager, Benedikt et al. (2024) ‘The Variable Echo Time (vTE) Sequence’, in MRI of Short and Ultrashort-T_2 Tissues. Cham: Springer International Publishing (MRI of Short and Ultrashort-T_2 Tissues), pp. 107–118. Available at: https://doi.org/10.1007/978-3-031-35197-6_9.

Akinci D’Antonoli T et al. (2023) ‘Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions.’, Diagnostic and interventional radiology (Ankara, Turkey) [Preprint]. Available at: https://doi.org/10.4274/dir.2023.232417.

Kocak B, Keles A and Akinci D’Antonoli T (2023) ‘Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM.’, European radiology [Preprint]. Available at: https://doi.org/10.1007/s00330-023-10243-9.

Akinci D’Antonoli T et al. (2023) ‘Reproducibility of radiomics quality score: an intra- and inter-rater reliability study.’, European radiology [Preprint]. Available at: https://doi.org/10.1007/s00330-023-10217-x.

Wang F et al. (2023) ‘Correlation analysis of quantitative MRI measurements of thigh muscles with histopathology in patients with idiopathic inflammatory myopathy.’, European radiology experimental, 7(1), p. 51. Available at: https://doi.org/10.1186/s41747-023-00350-z.

Triphan SMF et al. (2023) ‘Magnetic Resonance Imaging of Lung Perfusion.’, Journal of magnetic resonance imaging : JMRI [Preprint]. Available at: https://doi.org/10.1002/jmri.28912.

Streibel C et al. (2023) ‘Effects of elexacaftor/tezacaftor/ivacaftor therapy in children with cystic fibrosis – a comprehensive assessment using lung clearance index, spirometry, and functional and structural lung MRI’, Journal of Cystic Fibrosis, 22(4), pp. 615–622. Available at: https://doi.org/10.1016/j.jcf.2022.12.012.

Akinci D’Antonoli T and Mercaldo ND (2023) ‘Obsolescence of nomograms in radiomics research.’ Available at: https://doi.org/10.1007/s00330-023-09728-4.

Bieri O., Pusterla O. and Bauman G (2023) ‘Free-breathing half-radial dual-echo balanced steady-state free precession thoracic imaging with wobbling Archimedean spiral pole trajectories’, Zeitschrift fur Medizinische Physik, 33(2), pp. 220–229. Available at: https://doi.org/10.1016/j.zemedi.2022.01.003.

Wang F et al. (2023) ‘Assessment of idiopathic inflammatory myopathy using a deep learning method for muscle T2 mapping segmentation.’, European radiology, 33(4), pp. 2350–2357. Available at: https://doi.org/10.1007/s00330-022-09254-9.

Gaia Spadarella et al. (2023) ‘Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative’, European Radiology, 33(3), pp. 1884–1894. Available at: https://doi.org/10.1007/s00330-022-09187-3.

Tsagkas C et al. (2023) ‘Longitudinal assessment of cervical spinal cord compartments in multiple sclerosis’, Multiple Sclerosis and Related Disorders, 71, p. 104545. Available at: https://doi.org/10.1016/j.msard.2023.104545.

Tsagkas C et al. (2023) ‘Fully Automatic Method for Reliable Spinal Cord Compartment Segmentation in Multiple Sclerosis.’, AJNR. American journal of neuroradiology, 44(2), pp. 218–227. Available at: https://doi.org/10.3174/ajnr.a7756.

Lin YS et al. (2023) ‘Brain activity during a working memory task after daily caffeine intake and caffeine withdrawal: a randomized double-blind placebo-controlled trial.’, Scientific reports, 13(1), p. 1002. Available at: https://doi.org/10.1038/s41598-022-26808-5.

Afshari, Roya et al. (2023) ‘Rapid whole-brain quantitative MT imaging’, Zeitschrift fur Medizinische Physik, null. Available at: https://doi.org/10.1016/j.zemedi.2023.02.005.

Bauman, Grzegorz et al. (2023) ‘Submillimeter lung MRI at 0.55 T using balanced steady-state free precession with half-radial dual-echo readout (bSTAR)’, Magnetic Resonance in Medicine, 90, pp. 1949–1957. Available at: https://doi.org/10.1002/mrm.29757.

Bordier, Valentine et al. (2023) ‘Effects of a 5-week intake of erythritol and xylitol on vascular function, abdominal fat and glucose tolerance in humans with obesity: A pilot trial’, BMJ Nutrition, Prevention and Health, 6, pp. 264–272. Available at: https://doi.org/10.1136/bmjnph-2023-000764.

Colelli, Giulia et al. (2023) ‘Radiomics and machine learning applied to STIR sequence for prediction of quantitative parameters in facioscapulohumeral disease’, Frontiers in Neurology, 14. Available at: https://doi.org/10.3389/fneur.2023.1105276.

D’Antonoli, Tugba Akinci et al. (2023) ‘Development and Evaluation of Deep Learning Models for Automated Estimation of Myelin Maturation Using Pediatric Brain MRI Scans’, Radiology: Artificial Intelligence, 5. Available at: https://doi.org/10.1148/ryai.220292.

Iyyakkunnel, Santhosh et al. (2023) ‘Erratum to: Complex B 1⁺ mapping with Carr-Purcell spin echoes and its application to electrical properties tomography (Magnetic Resonance in Medicine, (2022), 87, 3, (1250-1260), 10.1002/mrm.29020)’, Magnetic Resonance in Medicine, 90, p. 802. Available at: https://doi.org/10.1002/mrm.29701.

Kentgens, Anne-Christianne et al. (2023) ‘Simultaneous multiple breath washout and oxygen-enhanced magnetic resonance imaging in healthy adults’, Respiratory Medicine and Research, 83. Available at: https://doi.org/10.1016/j.resmer.2023.100993.

Maushart, Claudia Irene et al. (2023) ‘Effect of high-dose glucocorticoid treatment on human brown adipose tissue activity: a randomised, double-blinded, placebo-controlled cross-over trial in healthy men’, eBioMedicine, 96. Available at: https://doi.org/10.1016/j.ebiom.2023.104771.

Streibel, C. et al. (2023) ‘Long-term pulmonary outcome of children with congenital diaphragmatic hernia: functional lung MRI using matrix-pencil decomposition enables side-specific assessment of lung function’, European Radiology, null. Available at: https://doi.org/10.1007/s00330-023-10395-8.

Tsagkas, Charidimos et al. (2023) ‘Anterior horn atrophy in the cervical spinal cord: A new biomarker in progressive multiple sclerosis’, Multiple Sclerosis Journal, 29, pp. 702–718. Available at: https://doi.org/10.1177/13524585221139152.

Vegezzi, Elisa et al. (2023) ‘Muscle quantitative MRI as a novel biomarker in hereditary transthyretin amyloidosis with polyneuropathy: a cross-sectional study’, Journal of Neurology, 270, pp. 328–339. Available at: https://doi.org/10.1007/s00415-022-11336-z.

Willers CC et al. (2022) ‘Feasibility of unsedated lung MRI in young children with cystic fibrosis.’, 60(5). Available at: https://doi.org/10.1183/13993003.03112-2021.

Hager B et al. (2022) ‘Transverse Relaxation Anisotropy of the Achilles and Patellar Tendon Studied by MR Microscopy’, Journal of Magnetic Resonance Imaging, 56(4), pp. 1091–1103. Available at: https://doi.org/10.1002/jmri.28095.

Streibel, C. et al. (2022) ‘Effect of ELX/TEZ/IVA treatment on lung ventilation in children with cystic fibrosis – comprehensive assessment using spirometry, MBW, structural and functional lung MRI’. European Respiratory Society. Available at: https://doi.org/10.1183/13993003.congress-2022.3919.

Nyilas S. et al. (2022) ‘MRI Shows Lung Perfusion Changes after Vaping and Smoking’, Radiology, 304(1), pp. 195–204. Available at: https://doi.org/10.1148/radiol.211327.

Pusterla O. et al. (2022) ‘MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets’, Magnetic Resonance in Medicine, 88(1), pp. 391–405. Available at: https://doi.org/10.1002/mrm.29184.

Agosti A et al. (2022) ‘Deep learning for automatic segmentation of thigh and leg muscles.’, Magma (New York, N.Y.), 35(3), pp. 467–483. Available at: https://doi.org/10.1007/s10334-021-00967-4.

Willers C et al. (2022) ‘School-age structural and functional MRI and lung function in children following lung resection for congenital lung malformation in infancy.’, Pediatric radiology, 52(7), pp. 1255–1265. Available at: https://doi.org/10.1007/s00247-022-05317-7.

Deligianni X et al. (2022) ‘Dynamic magnetic resonance imaging of muscle contraction in facioscapulohumeral muscular dystrophy.’, Scientific reports, 12(1), p. 7250. Available at: https://doi.org/10.1038/s41598-022-11147-2.

Breit HC and Bauman G (2022) ‘Morphologic and Functional Assessment of Sarcoidosis Using Low-Field MRI.’, Radiology, 303(2), p. 255. Available at: https://doi.org/10.1148/radiol.211760.

Duetschler A et al. (2022) ‘Synthetic 4DCT(MRI) lung phantom generation for 4D radiotherapy and image guidance investigations’, Medical Physics, 49(5), pp. 2890–2903. Available at: https://doi.org/10.1002/mp.15591.

Wendebourg MJ et al. (2022) ‘Spinal cord gray matter atrophy is associated with functional decline in post-polio syndrome.’, European journal of neurology, 29(5), pp. 1435–1445. Available at: https://doi.org/10.1111/ene.15261.

Iyyakkunnel S. et al. (2022) ‘Complex B1+ mapping with Carr-Purcell spin echoes and its application to electrical properties tomography’, Magnetic Resonance in Medicine, 87(3), pp. 1250–1260. Available at: https://doi.org/10.1002/mrm.29020.

Sexauer R et al. (2022) ‘Considerations on Baseline Generation for Imaging AI Studies Illustrated on the CT-Based Prediction of Empyema and Outcome Assessment.’, Journal of imaging, 8(3). Available at: https://doi.org/10.3390/jimaging8030050.

Harreld J.H. et al. (2022) ‘Pretreatment Normal WM Magnetization Transfer Ratio Predicts Risk of Radiation Necrosis in Patients with Medulloblastoma’, American Journal of Neuroradiology, 43(2), pp. 299–303. Available at: https://doi.org/10.3174/ajnr.a7393.

Holman R et al. (2022) ‘Perfluorocarbon emulsion enhances MR-ARFI displacement and temperature in vitro: Evaluating the response with MRI, NMR, and hydrophone.’, Frontiers in oncology, 12, p. 1025481. Available at: https://doi.org/10.3389/fonc.2022.1025481.

Kieninger E et al. (2022) ‘Effect of salbutamol on lung ventilation in children with cystic fibrosis: Comprehensive assessment using spirometry, multiple-breath washout, and functional lung magnetic resonance imaging’, Respiration, 101(3), pp. 281–290. Available at: https://doi.org/10.1159/000519751.

Schäper, Jessica et al. (2022) ‘Pure balanced steady-state free precession imaging (pure bSSFP)’, Magnetic Resonance in Medicine, 87, pp. 1886–1893. Available at: https://doi.org/10.1002/mrm.29086.

Soni, Kunal et al. (2022) ‘Effect of 3 T magnetic field on RF plasma sputtering in an ITER-relevant first mirror unit’, Nuclear Fusion, 62(12), p. 126009. Available at: https://doi.org/10.1088/1741-4326/ac8b20.

Tugba Akinci D’Antonoli (2022) ‘Ethical and Legal Risks of Artificial Intelligence in Radiology’, in Springer (ed.) Integrity of Scientific Research. Springer International Publishing (Integrity of Scientific Research), pp. 113–122. Available at: https://doi.org/10.1007/978-3-030-99680-2_12.

Zettinig D et al. (2021) ‘Diagnostic Accuracy of Imaging Findings in Pleural Empyema: Systematic Review and Meta-Analysis.’, Journal of imaging, 8(1). Available at: https://doi.org/10.3390/jimaging8010003.

Valk A. et al. (2021) ‘Defect distribution index: A novel metric for functional lung MRI in cystic fibrosis’, Magnetic Resonance in Medicine, 86(6), pp. 3224–3235. Available at: https://doi.org/10.1002/mrm.28947.

Williams G et al. (2021) ‘In vitro evaluation of cerebrospinal fluid velocity measurement in type I Chiari malformation: repeatability, reproducibility, and agreement using 2D phase contrast and 4D flow MRI’, Fluids and Barriers of the CNS, 18(1), p. 12. Available at: https://doi.org/10.1186/s12987-021-00246-3.

Putananickal N. et al. (2021) ‘Treatment with L‐Citrulline in patients with post‐polio syndrome: A single center, randomized, double blind, placebo‐controlled trial’, Neuromuscular Disorders, 31(11), pp. 1136–1143. Available at: https://doi.org/10.1016/j.nmd.2021.08.011.

Kentgens, A.-C. et al. (2021) ‘Simultaneous measurement of multiple breath washout and functional lung MRI’. European Respiratory Society. Available at: https://doi.org/10.1183/13993003.congress-2021.pa3216.

Willers, C.C. et al. (2021) ‘Change in functional lung MRI and multiple breath washout outcomes over one year in children with cystic fibrosis’. European Respiratory Society. Available at: https://doi.org/10.1183/13993003.congress-2021.oa2675.

Felisaz PF et al. (2021) ‘Variable echo time imaging for detecting the short T2* components of the sciatic nerve: a validation study’, Magnetic Resonance Materials in Physics, Biology and Medicine, 34(3), pp. 411–419. Available at: https://doi.org/10.1007/s10334-020-00886-w.

Leontiev W et al. (2021) ‘Suitability of Magnetic Resonance Imaging for Guided Endodontics: Proof of Principle’, Journal of Endodontics, 47(6), pp. 954–960. Available at: https://doi.org/10.1016/j.joen.2021.03.011.

Weidensteiner C et al. (2021) ‘Quantification and Monitoring of the Effect of Botulinum Toxin A on Paretic Calf Muscles of Children With Cerebral Palsy With MRI: A Preliminary Study’, Frontiers in Neurology, 12, p. 630435. Available at: https://doi.org/10.3389/fneur.2021.630435.

Savini G et al. (2021) ‘Pilot Study on Quantitative Cervical Cord and Muscular MRI in Spinal Muscular Atrophy: Promising Biomarkers of Disease Evolution and Treatment?’, Frontiers in Neurology, 12, p. 613834. Available at: https://doi.org/10.3389/fneur.2021.613834.

Kesenheimer EM et al. (2021) ‘Normalization of Spinal Cord Total Cross-Sectional and Gray Matter Areas as Quantified With Radially Sampled Averaged Magnetization Inversion Recovery Acquisitions’, Frontiers in Neurology, 12, p. 637198. Available at: https://doi.org/10.3389/fneur.2021.637198.

Akinci D’Antonoli T et al. (2021) ‘Combination of Quantitative MRI Fat Fraction and Texture Analysis to Evaluate Spastic Muscles of Children With Cerebral Palsy’, Frontiers in Neurology, 12, p. 633808. Available at: https://doi.org/10.3389/fneur.2021.633808.

Santini F et al. (2021) ‘Fast Open-Source Toolkit for Water T2 Mapping in the Presence of Fat From Multi-Echo Spin-Echo Acquisitions for Muscle MRI’, Frontiers in Neurology, 12. Available at: https://doi.org/10.3389/fneur.2021.630387.

Krieger M. et al. (2021) ‘Liver-ultrasound-guided lung tumour tracking for scanned proton therapy: a feasibility study’, Physics in Medicine and Biology, 66(3). Available at: https://doi.org/10.1088/1361-6560/abcde6.

Willers C et al. (2021) ‘The impact of segmentation on whole-lung functional MRI quantification: Repeatability and reproducibility from multiple human observers and an artificial neural network’, Magnetic Resonance in Medicine, 85(2), pp. 1079–1092. Available at: https://doi.org/10.1002/mrm.28476.

Anastasopoulos, Constantin et al. (2021) ‘Atri-U: assisted image analysis in routine cardiovascular magnetic resonance volumetry of the left atrium’, Journal of Cardiovascular Magnetic Resonance (JCMR)e Society for Cardiovascular Magnetic Resonance, 23(1), p. 133. Available at: https://doi.org/10.1186/s12968-021-00791-8.

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Felisaz PF et al. (2021) ‘Texture analysis and machine learning to predict water T2 and fat fraction from non-quantitative MRI of thigh muscles in Facioscapulohumeral muscular dystrophy’, European Journal of Radiology, 134, p. 109460. Available at: https://doi.org/10.1016/j.ejrad.2020.109460.

Iyyakkunnel, Santhosh, Schäper, Jessica and Bieri, Oliver (2021) ‘Configuration-based electrical properties tomography’, Magnetic Resonance in Medicine, 85(4), pp. 1855–1864. Available at: https://doi.org/10.1002/mrm.28542.

Lin YS et al. (2021) ‘Time to Recover From Daily Caffeine Intake.’, Frontiers in nutrition, 8, p. 787225. Available at: https://doi.org/10.3389/fnut.2021.787225.

Lin, Yu-Shiuan et al. (2021) ‘Daily Caffeine Intake Induces Concentration-Dependent Medial Temporal Plasticity in Humans: A Multimodal Double-Blind Randomized Controlled Trial’, Cerebral Cortex, 31(6), pp. 3096–3106. Available at: https://doi.org/10.1093/cercor/bhab005.

Paoletti M et al. (2021) ‘Longitudinal Quantitative MRI Evaluation of Muscle Involvement in Amyotrophic Lateral Sclerosis.’, Frontiers in neurology, 12, p. 749736. Available at: https://doi.org/10.3389/fneur.2021.749736.

Heule R et al. (2020) ‘Multi-parametric artificial neural network fitting of phase-cycled balanced steady-state free precession data’, Magnetic Resonance in Medicine, 84(6), pp. 2981–2993. Available at: https://doi.org/10.1002/mrm.28325.

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Deligianni X et al. (2020) ‘Dynamic MRI of plantar flexion: A comprehensive repeatability study of electrical stimulation-gated muscle contraction standardized on evoked force’, PLoS ONE, 15(11 November), p. e0241832. Available at: https://doi.org/10.1371/journal.pone.0241832.

Santini F et al. (2020) ‘On the optimal temporal resolution for phase contrast cardiovascular magnetic resonance imaging: Establishment of baseline values’, Journal of Cardiovascular Magnetic Resonance, 22(1), p. 72. Available at: https://doi.org/10.1186/s12968-020-00669-1.

Akinci D’Antonoli T (2020) ‘Ethical considerations for artificial intelligence: An overview of the current radiology landscape’, Diagnostic and Interventional Radiology, 26(5), pp. 504–511. Available at: https://doi.org/10.5152/dir.2020.19279.