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Assessing renal interstitial fibrosis using compartmental, non-compartmental, and model-free diffusion MRI approaches.

• Authors : Hu W; Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.; Dai Y

• Source: Insights into imaging [Insights Imaging] 2024 Jun 20; Vol. 15 (1), pp. 156. Date of Electronic Publication: 2024 Jun 20.Publisher: Springer Country of Publication: Germany NLM ID: 101532453 Publication Model: Electronic Cited Medium: Print

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Multiple b-values improve discrimination of cortical gray matter regions using diffusion MRI: an experimental validation with a data-driven approach

• Authors : Ganepola, Tara; Lee, Yoojin; https://orcid.org/0000-0002-9479-5910

Subjects: Department of Economics; 330 Economics; Cortical parcellation, Brodmann map, in-vivo histology, diffusion MRI, microstructural imaging

• Source: Ganepola, Tara; Lee, Yoojin; Alexander, Daniel C; Sereno, Martin I; Nagy, Zoltan (2021). Multiple b-values improve discrimination of cortical gray matter regions using

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Muti-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC): progress and results

• Authors : Ning, Lipeng; Bonet-Carne, Elisenda; Grussu, Francesco

Subjects: Deep learning; Diffusion MRI; Harmonisation

• Source: Ning, Lipeng, Tax, Chantal M.W., Grussu, Francesco, Bonet-Carne, Elisenda, Sepehrband, Farshid (Ed.), Computational Diffusion MRI:

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Quantitative Evaluation of Enhanced Multi-plane Clinical Fetal Diffusion MRI with a Crossing-Fiber Phantom

• Authors : Cetin-Karayumak, Suheyla; Christiaens, Daan; Figini, Matteo

Subjects: Medical Clinic; 610 Medicine & health; Book Section

• Source: Kebiri, Hamza; Lajous, Helena; Aleman-Gomez, Yasser; Girard, Gabriel; Rodriguez, Erick Canales; Tourbier, Sebastien; Pizzolato, M; Ledoux, Jean-Baptiste; Fornari, Eleonora; Jakab, András (2021).

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Generalised Hierarchical Bayesian Microstructure Modelling for Diffusion MRI

• Authors : Powell, E; Battocchio, M; Parker, CS ...

Subjects: Bayesian statistics; Bayesian hierarchical model; Microstructure modelling

• Source: In: Cetin-Karayumak, S and Christiaens, D and Figini, M and Guevara, P and Gyori, N and Nath, V and Pieciak, T, (eds.) Computational Diffusion

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Comparison of Biomarkers in Transgenic Alzheimer Rats Using Multi-Shell Diffusion MRI

• Authors : Fuster, Andrea; Ghosh, Aurobrata; Kaden, Enrico

Subjects: Book Section; PeerReviewed

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Adaptive enhancement in diffusion MRI through propagator sharpening

• Authors : Dela Haije, T.C.J.; Sepasian, N.; Fuster, A.

Subjects: Conferentiebijdrage; Conference contribution

• Source: Computational Diffusion MRI : MICCAI Workshop, Munich, Germany, October 9th, 2015, p.131-143. Dordrecht:

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Mapping Motor Pathways in Parkinson's Disease Patients with Subthalamic Deep Brain Stimulator: A Diffusion MRI Tractography Study.

• Authors : Li Y; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Ruijin 2nd Road, Huangpu District, Shanghai, 200025, China.; He N

• Source: Neurology and therapy [Neurol Ther] 2022 Jun; Vol. 11 (2), pp. 659-677. Date of Electronic Publication: 2022 Feb 14.Publisher: Springer Country of Publication: New Zealand NLM ID: 101637818 Publication Model: Print-Electronic Cited Medium:

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Joint 6D k-q Space Compressed Sensing for Accelerated High Angular Resolution Diffusion MRI

• Authors : Cheng, Jian; Shen, Dinggang; Basser, Peter J. ...

Subjects: Compressed Sensing; Reconstruction; Diffusion MRISleat; United Kingdom

• Source: Information Processing in Medical Imaging 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings ; 24th Biennial International Conference on

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Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimer's disease

• Authors : Wen, Junhao; Samper-González, Jorge; Bottani, Simona ...

Subjects: Open-source; Alzheimer's disease; Diffusion magnetic resonance imaging

• Source: ISSN: 1539-2791 ; Neuroinformatics ; https://inria.hal.science/hal-02566361 ; Neuroinformatics, 2021, 19 (1), pp.57-78. ⟨10.1007/s12021-020-09469-5⟩.

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