Found: 16
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Radiomics with 3-dimensional magnetic resonance fingerprinting: influence of dictionary design on repeatability and reproducibility of radiomic features.
- Published in:
- European Radiology, 2022, v. 32, n. 7, p. 4791, doi. 10.1007/s00330-022-08555-3
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- Article
Computed tomography findings of early-stage TAFRO syndrome and associated adrenal abnormalities.
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- European Radiology, 2020, v. 30, n. 10, p. 5588, doi. 10.1007/s00330-020-06919-1
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- Article
Myelin Measurement Using Quantitative Magnetic Resonance Imaging: A Correlation Study Comparing Various Imaging Techniques in Patients with Multiple Sclerosis.
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- Cells (2073-4409), 2020, v. 9, n. 2, p. 393, doi. 10.3390/cells9020393
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- Article
Low-voltage, high-gain, and high-mobility organic complementary inverters based on N,N′-ditridecyl-3,4,9,10-perylenetetracarboxylic diimide and pentacene.
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- Physica Status Solidi - Rapid Research Letters, 2008, v. 2, n. 2, p. 47, doi. 10.1002/pssr.200701267
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- Article
Feature‐fusion improves MRI single‐shot deep learning detection of small brain metastases.
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- Journal of Neuroimaging, 2022, v. 32, n. 1, p. 111, doi. 10.1111/jon.12916
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- Article
Neuroimaging of hypophysitis: etiologies and imaging mimics.
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- Japanese Journal of Radiology, 2023, v. 41, n. 9, p. 911, doi. 10.1007/s11604-023-01417-y
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- Article
Multimodal magnetic resonance imaging quantification of gray matter alterations in relapsing‐remitting multiple sclerosis and neuromyelitis optica spectrum disorder.
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- Journal of Neuroscience Research, 2022, v. 100, n. 7, p. 1395, doi. 10.1002/jnr.25035
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- Article
Deep-learning 2.5-dimensional single-shot detector improves the performance of automated detection of brain metastases on contrast-enhanced CT.
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- Neuroradiology, 2022, v. 64, n. 8, p. 1511, doi. 10.1007/s00234-022-02902-3
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- Article
Automated detection of brain metastases on non-enhanced CT using single-shot detectors.
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- Neuroradiology, 2021, v. 63, n. 12, p. 1995, doi. 10.1007/s00234-021-02743-6
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- Article
Structural connectivity changes in the cerebral pain matrix in burning mouth syndrome: a multi-shell, multi-tissue-constrained spherical deconvolution model analysis.
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- Neuroradiology, 2021, v. 63, n. 12, p. 2005, doi. 10.1007/s00234-021-02732-9
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- Article
Computer-aided detection improves brain metastasis identification on non-enhanced CT in less experienced radiologists.
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- Acta Radiologica, 2023, v. 64, n. 5, p. 1958, doi. 10.1177/02841851221139124
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- Article
The automatic diagnosis artificial intelligence system for preoperative magnetic resonance imaging of uterine sarcoma.
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- Journal of Gynecologic Oncology, 2024, v. 35, n. 3, p. 1, doi. 10.3802/jgo.2024.35.e24
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- Article
MR imaging features to predict the type of bone metastasis in prostate cancer.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-38878-0
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- Article
Development of a deep learning method for improving diagnostic accuracy for uterine sarcoma cases.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-23064-5
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- Article
White and Gray Matter Abnormality in Burning Mouth Syndrome Evaluated with Diffusion Tensor Imaging and Neurite Orientation Dispersion and Density Imaging.
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- Magnetic Resonance in Medical Sciences, 2024, v. 23, n. 2, p. 204, doi. 10.2463/mrms.mp.2022-0099
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- Article
A Novel Deep Learning Approach with a 3D Convolutional Ladder Network for Differential Diagnosis of Idiopathic Normal Pressure Hydrocephalus and Alzheimer's Disease.
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- Magnetic Resonance in Medical Sciences, 2020, v. 19, n. 4, p. 351, doi. 10.2463/mrms.mp.2019-0106
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- Article