Fast refacing of MR images with a generative neural network lowers re‐identification risk and preserves volumetric consistency

Authors: Nataliia Molchanova, Bénédicte Maréchal, Jean‐Philippe Thiran, Tobias Kober, Till Huelnhagen, Jonas Richiardi

Contributors: Alzheimer's Disease Neuroimaging Initiative, Alzheimer's Disease Neuroimaging, Initiative (ed.)

Source: Hum Brain Mapp
Human brain mapping, vol. 45, no. 9, pp. e26721

Subject Terms: Adult, Male, FOS: Computer and information sciences, Humans, Magnetic Resonance Imaging/methods, Brain/diagnostic imaging, Brain/anatomy & histology, Female, Neural Networks, Computer, Imaging, Three-Dimensional/methods, Neuroimaging/methods, Neuroimaging/standards, Data Anonymization, Young Adult, Image Processing, Computer-Assisted/methods, Image Processing, Computer-Assisted/standards, Algorithms, brain morphometry, conditional generative adversarial networks, defacing, de‐identification, magnetic resonance imaging, privacy, re‐identification risk, Technical Reports, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, Brain, Neuroimaging, Electrical Engineering and Systems Science - Image and Video Processing, Magnetic Resonance Imaging, Imaging, Three-Dimensional, Image Processing, Computer-Assisted, FOS: Electrical engineering, electronic engineering, information engineering

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Access URL: https://pubmed.ncbi.nlm.nih.gov/38899549
http://arxiv.org/abs/2305.16922
https://serval.unil.ch/notice/serval:BIB_F1F51891A9AE
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_F1F51891A9AE6
https://serval.unil.ch/resource/serval:BIB_F1F51891A9AE.P001/REF.pdf

Implementation of a Quality Index for Improvement of Quantification of Corneal Nerves in Corneal Confocal Microscopy Images: A Multicenter Study

Authors: Sturm, Dietrich, Vollert, Jan, Greiner, Tineke, Rice, Andrew S.C., Kemp, Harriet, Treede, Rolf Detlef, Schuh-Hofer, Sigrid, Nielsen, Stine E., Eitner, Lynn, Tegenthoff, Martin, Petropoulos, Ioannis N., Malik, Rayaz A., Maier, Christoph, Schmidt-Wilcke, Tobias, Schargus, Marc

Source: Sturm, D, Vollert, J, Greiner, T, Rice, A S C, Kemp, H, Treede, R D, Schuh-Hofer, S, Nielsen, S E, Eitner, L, Tegenthoff, M, Petropoulos, I N, Malik, R A, Maier, C, Schmidt-Wilcke, T & Schargus, M 2019, 'Implementation of a Quality Index for Improvement of Quantification of Corneal Nerves in Corneal Confocal Microscopy Images : A Multicenter Study', Cornea, vol. 38, no. 7, pp. 921-926. https://doi.org/10.1097/ICO.0000000000001949

Subject Terms: Adult, Male, 0301 basic medicine, Adolescent, Nerve Fibers/pathology, Diagnostic Techniques, Ophthalmological, Corneal Diseases, Cornea, Young Adult, 03 medical and health sciences, Nerve Fibers, 0302 clinical medicine, Image Processing, Computer-Assisted/standards, Image Processing, Computer-Assisted, Humans, Child, Peripheral Nervous System Diseases/diagnosis, Aged, Aged, 80 and over, Diagnostic Techniques, Ophthalmological/standards, Microscopy, Confocal/methods, Microscopy, Confocal, Peripheral Nervous System Diseases, Reproducibility of Results, Cornea/innervation, Corneal Diseases/diagnosis, Middle Aged, Female

Access URL: https://pubmed.ncbi.nlm.nih.gov/30985521
https://insights.ovid.com/cornea/corne/2019/07/000/implementation-quality-index-improvement/23/00003226
https://www.ncbi.nlm.nih.gov/pubmed/30985521
https://pubmed.ncbi.nlm.nih.gov/30985521/
http://www.scopus.com/inward/record.url?scp=85067374570&partnerID=8YFLogxK
https://pure.au.dk/portal/en/publications/f196b3b7-3cb2-448d-8830-6087941d4ae5
https://doi.org/10.1097/ICO.0000000000001949

Difference in performance between 3D and 4D CBCT for lung imaging: a dose and image quality analysis

Authors: Thengumpallil, S., Smith, K., Monnin, P., Bourhis, J., Bochud, F., Moeckli, R.

Source: J Appl Clin Med Phys
Journal of applied clinical medical physics, vol. 17, no. 6, pp. 6459

Subject Terms: Lung Neoplasms, Phantoms, Imaging, Radiotherapy Planning, Computer-Assisted, Respiration, Radiotherapy Dosage, Cone-Beam Computed Tomography, Signal-To-Noise Ratio, 3. Good health, Motion, 03 medical and health sciences, 0302 clinical medicine, Image Processing, Computer-Assisted, Radiation Oncology Physics, Humans, Radiographic Image Interpretation, Computer-Assisted, Algorithms, Cone-Beam Computed Tomography/methods, Four-Dimensional Computed Tomography/methods, Image Processing, Computer-Assisted/methods, Image Processing, Computer-Assisted/standards, Lung Neoplasms/diagnostic imaging, Lung Neoplasms/radiotherapy, Radiographic Image Interpretation, Computer-Assisted/methods, Radiotherapy Planning, Computer-Assisted/methods, Radiotherapy, Image-Guided/methods, Radiotherapy, Intensity-Modulated/methods, Radiotherapy, Intensity-Modulated, Four-Dimensional Computed Tomography, Radiotherapy, Image-Guided

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Access URL: https://pubmed.ncbi.nlm.nih.gov/27929485
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690502/
https://aapm.onlinelibrary.wiley.com/doi/full/10.1120/jacmp.v17i6.6459
http://onlinelibrary.wiley.com/doi/10.1120/jacmp.v17i6.6459/pdf
https://aapm.onlinelibrary.wiley.com/doi/pdf/10.1120/jacmp.v17i6.6459
https://pubmed.ncbi.nlm.nih.gov/27929485/
http://doi.wiley.com/10.1120/jacmp.v17i6.6459
https://serval.unil.ch/resource/serval:BIB_19ADA467B85A.P001/REF.pdf
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_19ADA467B85A6
https://serval.unil.ch/notice/serval:BIB_19ADA467B85A

DISCRIMINATION BETWEEN CYSTIC FIBROSIS AND CFTR-CORRECTED EPITHELIAL CELLS BY A MEMBRANE POTENTIAL-SENSITIVE PROBE

Authors: Ninin-Coclet, Joëlle, Rochat, Thierry, Poitry, Serge, Chanson, Marc

Source: Experimental Lung Research, Vol. 28, No 3 (2002) pp. 181-99

Subject Terms: 0301 basic medicine, Patch-Clamp Techniques, Cystic Fibrosis, Cystic Fibrosis Transmembrane Conductance Regulator, Sensitivity and Specificity, Membrane Potentials, 03 medical and health sciences, Image Processing, Computer-Assisted/standards, Fluorescent Dyes/diagnostic use, Cyclic AMP, Image Processing, Computer-Assisted, Tumor Cells, Cultured, Epithelial Cells/physiology, Humans, Thiobarbiturates/diagnostic use, Cyclic AMP/pharmacology, Fluorescent Dyes, ddc:616, 0303 health sciences, ddc:618, Cystic Fibrosis/pathology, Epithelial Cells, Thiobarbiturates, Cystic Fibrosis Transmembrane Conductance Regulator/physiology, Membrane Potentials/drug effects/physiology

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Access URL: https://pubmed.ncbi.nlm.nih.gov/11936773
https://core.ac.uk/display/60853807
https://www.ncbi.nlm.nih.gov/pubmed/11936773
https://pubmed.ncbi.nlm.nih.gov/11936773/
https://www.tandfonline.com/doi/abs/10.1080/019021402753570491
https://archive-ouverte.unige.ch/unige:27039
https://archive-ouverte.unige.ch/unige:27039

Adaptive phase correction of diffusion-weighted images

Authors: Pizzolato, Marco, Gilbert, Guillaume, Thiran, Jean-Philippe, Descoteaux, Maxime, Deriche, Rachid

Contributors: Deriche, Rachid

Source: Neuroimage
NeuroImage, Vol 206, Iss, Pp 116274-(2020)
NeuroImage, vol. 206, pp. 116274

Subject Terms: Adult, Phase estimation, Brain, Neurosciences. Biological psychiatry. Neuropsychiatry, Neuroimaging, Signal-To-Noise Ratio, Phase correction, Article, Diffusion MRI, 03 medical and health sciences, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Diffusion Magnetic Resonance Imaging, 0302 clinical medicine, Rician noise, Image Processing, Computer-Assisted, Humans, Computer Simulation, Oriented laplacian, Artifacts, Brain/diagnostic imaging, Diffusion Magnetic Resonance Imaging/methods, Diffusion Magnetic Resonance Imaging/standards, Image Processing, Computer-Assisted/methods, Image Processing, Computer-Assisted/standards, Neuroimaging/methods, Neuroimaging/standards, RC321-571

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/31629826
https://doaj.org/article/aeff3ca598cf4581a2742b2f2d66ad1f
https://hal.science/hal-02402015v1
https://doi.org/10.1016/j.neuroimage.2019.116274
https://pubmed.ncbi.nlm.nih.gov/31629826/
https://hal.archives-ouvertes.fr/hal-02402015
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355239
https://www.sciencedirect.com/science/article/pii/S1053811919308651
https://www.sciencedirect.com/science/article/abs/pii/S1053811919308651
https://dblp.uni-trier.de/db/journals/neuroimage/neuroimage206.html#PizzolatoGTDD20
https://serval.unil.ch/resource/serval:BIB_3779709C43B0.P001/REF.pdf
https://serval.unil.ch/notice/serval:BIB_3779709C43B0
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_3779709C43B04

Standardization of left atrial, right ventricular, and right atrial deformation imaging using two-dimensional speckle tracking echocardiography: a consensus document of the EACVI/ASE/Industry Task Force to standardize deformation imaging

Authors: Industry representatives, Cosyns, Bernard

Contributors: Clinical sciences, Cardio-vascular diseases, Cardiology

Subject Terms: Male, Cardiac Imaging Techniques/standards, Image Processing, Computer-Assisted/standards, Echocardiography, Three-Dimensional/standards, Advisory Committees, Heart Atria/diagnostic imaging, Humans, Female, Heart Ventricles/diagnostic imaging, Practice Guidelines as Topic/standards, Reference Standards, Echocardiography/standards, Societies, Medical

Access URL: https://biblio.vub.ac.be/vubir/(e9e80744-5393-4a59-8c0c-52e1a7d8b02a).html