نتائج البحث

SIX-MEMBERED HETEROCYCLIC SULFONAMIDES: SYNTHESIS, CHARACTERISATION AND ANTIMICROBIAL PROPERTIES.

• Authors : Diaconu, Dumitrela^1,2; Mangalagiu, Violeta¹; Amăriucăi-Mantu, Dorina³

• Source: Proceedings of the International Multidisciplinary Scientific GeoConference SGEM. 2023, Vol. 23, p369-375. 7p.

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Expression of 2H, 13C, 15N-labeled NIST-Fab fragment in the methylotrophic yeast Komagataella phaffii for nuclear magnetic resonance studies.

• Authors : Chao, Kinlin L.^1,2 ; O'Dell, William B.^1,2,3; Solomon, Tsega L.^1,3

• Source: EPJ Web of Conferences. 10/9/2023, Vol. 286, p1-9. 9p.

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BAYESIAN SPARSE MODEL FOR COMPLEX-VALUED MAGNETIC RESONANCE SPECTROSCOPY RESTORATION

• Authors : Labriji, Wafae; Ken, Soléakhéna; Dormio, Gaelle ...

Subjects: [INFO]Computer Science [cs]Athens; Greece

• Source: 2024 IEEE International Symposium on Biomedical Imaging (ISBI)2024 IEEE International Symposium on Biomedical Imaginghttps://hal.science/hal-047323852024 IEEE International Symposium

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A Wavelet Scattering Convolutional Network for Magnetic Resonance Spectroscopy Signal Quantitation

• Authors : Shamaei, Amir mohammad; Starčuková, Jana; Starčuk, Zenon

Subjects: Magnetic Resonance Spectroscopy; Quantification; Deep Learning

• Source: Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - (Volume 4). 2021, p. 268-275.

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Deep Learning For Magnetic Resonance Spectroscopy Quantification: A Time-Frequency Analysis Approach

• Authors : Shamaei, Amirmohammad

Subjects: magnetic resonance spectroscopy; quantification; deep learning

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Deep Learning For Magnetic Resonance Spectroscopy Quantification: A Time-Frequency Analysis Approach

• Authors : Shamaei, Amirmohammad

Subjects: magnetic resonance spectroscopy; quantification; deep learning

• Source: Proceedings II of the 26st Conference STUDENT EEICT 2020: Selected Papers. s. 131-135. ISBN 978-80-214-5868-0

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Evaluating kidney fibrosis using in vivo 1H magnetic resonance spectroscopy in patients with chronic kidney disease and live donors

• Authors : Humphries, Tyrone; Dong, Xin; Watson, Julia

Subjects: Nephrology and urology; Biomedical imaging; Clinical sciencesChristchurch; New Zealand2023-09-04 to 2023-09-06

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Magnetic Resonance Spectroscopy Quantification using Deep Learning

• Authors : Hatami, Nima; Sdika, Michaël; Ratiney, Hélène ...

Subjects: Convolutional Neural Networks; Short echo time; Magnetic Resonance Spectroscopy (MRS)SpainGrenada, Spain

• Source: MICCAI ; https://hal.science/hal-01904617 ; MICCAI, Oct 2018, Grenada, Spain

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IDH mutation prediction in glioma using 2-Hydroxyglutarate magnetic resonance spectroscopy ; Prädiktion des IDH-Mutationsstatus in Gliomen mittels 2-Hydroxyglutarat Magnetresonanzspektorskopie

• Authors : Juratli, T; Daubner, D; Peitzsch, M

Subjects: ddc: 610

• Source: 73. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC), Joint Meeting mit der Griechischen Gesellschaft für Neurochirurgie; 20220529-20220601; Köln; DOCV188 /20220525/

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Automated quality control for proton magnetic resonance spectroscopy data using convex non-negative matrix factorization

• Authors : Mocioiu, Victor; Kyathanahally, Sreenath P.; Arús, Carles ...

Subjects: Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic; Decision support systems; Brain -- Tumors -- Diagnosis

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