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Lenograstim compared to filgrastim for the mobilization of hematopoietic stem cells in healthy donors

Transfusion (Philadelphia, Pa.), 2013-12, Vol.53 (12), p.3240-3242

2013

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Non-invasive Prenatal Diagnosis of Feto-Maternal Platelet Incompatibility by Cold High Resolution Melting Analysis

Advances in experimental medicine and biology, 2016, Vol.924, p.67-70

2016

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Non-Invasive Protocol For The Screening, Diagnosis and Treatment Of Hemolytic Perinatal

Blood, 2013-11, Vol.122 (21), p.2405-2405

2013

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Mobilization Scheme With Cytarabine In Poor Mobilizers Patients Diagnosed With Lymphoma

Blood, 2013-11, Vol.122 (21), p.5440-5440

2013

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Standardization non-invasive fetal RHD and SRY determination into clinical routine using a new multiplex RT-PCR assay for fetal cell-free DNA in pregnant women plasma: Results in clinical benefits and cost saving

Clinica chimica acta, 2012-02, Vol.413 (3), p.490-494

2012

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Intermediate doses of cytarabine plus granulocyte-colony-stimulating factor as an effective and safe regimen for hematopoietic stem cell collection in lymphoma patients with prior mobilization failure

Transfusion (Philadelphia, Pa.), 2015-04, Vol.55 (4), p.875-879

2015

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Generation of LAK cells in vitro in patients with acute leukemia

Leukemia, 1993-09, Vol.7 (9), p.1344

1993

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Radiology in the era of large language models: the near and the dark side of the moon

European radiology, 2023-12, Vol.33 (12), p.9455-9457

2023

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Radiology, explicability and AI: closing the gap

European radiology, 2023-12, Vol.33 (12), p.9466-9468

2023

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Large language models in Radiology: The importance of fine-tuning and the fable of the luthier

European journal of radiology, 2024-09, Vol.178, p.111627, Article 111627

2024

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AI in radiology: Legal responsibilities and the car paradox

European journal of radiology, 2024-06, Vol.175, p.111462, Article 111462

2024

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Reply to the Letter to the Editor: “Radiology in the era of large language models: additional facts to consider in the near and the dark side of the moon”

European radiology, 2023-12, Vol.33 (12), p.9460-9461

2023

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Reply to the letter to the editor: “A critical evaluation on the use of large language model for radiology research”

European radiology, 2023-12, Vol.33 (12), p.9464-9465

2023

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Natural Language Processing in Pathology: Current Trends and Future Insights

The American journal of pathology, 2022-11, Vol.192 (11), p.1486-1495

2022

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Natural language processing deep learning models for the differential between high-grade gliomas and metastasis: what if the key is how we report them?

European radiology, 2024-03, Vol.34 (3), p.2113-2120

2024

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Comparative evaluation of image-based vs. text-based vs. multimodal AI approaches for automatic breast density assessment in mammograms

Computer methods and programs in biomedicine, 2024-10, Vol.255, p.108334, Article 108334

2024

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Evaluation of large language models performance against humans for summarizing MRI knee radiology reports: A feasibility study

International journal of medical informatics (Shannon, Ireland), 2024-07, Vol.187, p.105443-105443, Article 105443

2024

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Automatic generation of conclusions from neuroradiology MRI reports through natural language processing

Neuroradiology, 2024-04, Vol.66 (4), p.477-485

2024

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Artificial Intelligence in Radiology: A Fast-Food Versus Slow-Food Question?

Journal of the American College of Radiology, 2024-05, Vol.21 (5), p.810-811

2024

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Role of Natural Language Processing in Automatic Detection of Unexpected Findings in Radiology Reports: A Comparative Study of RoBERTa, CNN, and ChatGPT

Academic radiology, 2024-08

2024

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Imagine there is no paperwork… it's easy if you try

British journal of radiology, 2024-03, Vol.97 (1156), p.744-746

2024

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Role of advanced MRI sequences for thyroid lesions assessment. A narrative review

European journal of radiology, 2024-07, Vol.176, p.111499, Article 111499

2024

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Natural Language Processing in Radiology: Update on Clinical Applications

Journal of the American College of Radiology, 2022-11, Vol.19 (11), p.1271-1285

2022

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Detection of unexpected findings in radiology reports: A comparative study of machine learning approaches

Expert systems with applications, 2020-12, Vol.160, p.113647, Article 113647

2020

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COVID-19 detection in radiological text reports integrating entity recognition

Computers in biology and medicine, 2020-12, Vol.127, p.104066-104066, Article 104066

2020

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Lenograstim compared to filgrastim for the mobilization of hematopoietic stem cells in healthy donors

Non-invasive Prenatal Diagnosis of Feto-Maternal Platelet Incompatibility by Cold High Resolution Melting Analysis

Non-Invasive Protocol For The Screening, Diagnosis and Treatment Of Hemolytic Perinatal

Mobilization Scheme With Cytarabine In Poor Mobilizers Patients Diagnosed With Lymphoma

Standardization non-invasive fetal RHD and SRY determination into clinical routine using a new multiplex RT-PCR assay for fetal cell-free DNA in pregnant women plasma: Results in clinical benefits and cost saving

Intermediate doses of cytarabine plus granulocyte-colony-stimulating factor as an effective and safe regimen for hematopoietic stem cell collection in lymphoma patients with prior mobilization failure

Generation of LAK cells in vitro in patients with acute leukemia

Radiology in the era of large language models: the near and the dark side of the moon

Radiology, explicability and AI: closing the gap

Large language models in Radiology: The importance of fine-tuning and the fable of the luthier

AI in radiology: Legal responsibilities and the car paradox

Reply to the Letter to the Editor: “Radiology in the era of large language models: additional facts to consider in the near and the dark side of the moon”

Reply to the letter to the editor: “A critical evaluation on the use of large language model for radiology research”

Natural Language Processing in Pathology: Current Trends and Future Insights

Natural language processing deep learning models for the differential between high-grade gliomas and metastasis: what if the key is how we report them?

Comparative evaluation of image-based vs. text-based vs. multimodal AI approaches for automatic breast density assessment in mammograms

Evaluation of large language models performance against humans for summarizing MRI knee radiology reports: A feasibility study

Automatic generation of conclusions from neuroradiology MRI reports through natural language processing

Artificial Intelligence in Radiology: A Fast-Food Versus Slow-Food Question?

Role of Natural Language Processing in Automatic Detection of Unexpected Findings in Radiology Reports: A Comparative Study of RoBERTa, CNN, and ChatGPT

Imagine there is no paperwork… it's easy if you try

Role of advanced MRI sequences for thyroid lesions assessment. A narrative review

Natural Language Processing in Radiology: Update on Clinical Applications

Detection of unexpected findings in radiology reports: A comparative study of machine learning approaches

COVID-19 detection in radiological text reports integrating entity recognition

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