- 6
- 1
- 1
- 1
Philippe Ciuciu
9
Documents
Présentation
Philippe Ciuciu is Principal Investigator at [NeuroSpin](http://neurospin-wiki.org/), the largest high field MRI center in France dedicated to cognitive and clinical neuroscience. His research interests are inter-disciplininary ranging from signal and image processing to functional brain imaging (fMRI, MEG) for applications to cognitive neuroscience (multi-perceptual learning, plasticity) and clinical trials in Alzheimer's disease and neurological disorders (Stroke).
#### <a name="TOC-Research-interests:" style="color: #4e7dbf;"></a>Research interests:
1. Magnetic resonance imaging (MRI): Compressed sensing, Variable density sampling, Parallel Imaging, k-space trajectories, High resolution (space/time) imaging, Reconstruction,
Regularization,
Proximal methods, Wavelets, Frames, parallel computing.
2. Functional neuroimaging:
- Hemodynamics: functional MRI, Blood Oxygen Level Dependent,
Cerebral blood flow, Arterial spin labelling, evoked activity, Detection-Estimation, Bayesian inference, MCMC, variational approximations, Functional brain parcellation.
- **Scale-free brain dynamics:** Magnetoencephalography (MEG), o
ngoing activity, self-similarity, sequential neural processing, Multifractal Analysis, parallel neural multiplexing, functional connectivity, fractal connectivity.
3. **Cognitive neuroscience**: multi-perceptual learning, auditory/visual binding, plasticity.
#### <a name="TOC-Industrial-interests:" style="color: #4e7dbf;"></a>Industrial interests:
####
1. Patenting new MRI reconstruction algorithms for dynamic parallel imaging.
2. Clinical trials for testing new drugs for Alzheimer's disease by developing new functional biomarkers.
Philippe Ciuciu is Principal Investigator at [NeuroSpin](http://neurospin-wiki.org/), the largest high field MRI center in France dedicated to cognitive and clinical neuroscience. His research interests are inter-disciplininary ranging from signal and image processing to functional brain imaging (fMRI, MEG) for applications to cognitive neuroscience (multi-perceptual learning, plasticity) and clinical trials in Alzheimer's disease and neurological disorders (Stroke).
#### <a name="TOC-Research-interests:" style="color: #4e7dbf;"></a>Research interests:
1. Magnetic resonance imaging (MRI): Compressed sensing, Variable density sampling, Parallel Imaging, k-space trajectories, High resolution (space/time) imaging, Reconstruction,
Regularization,
Proximal methods, Wavelets, Frames, parallel computing.
2. Functional neuroimaging:
- Hemodynamics: functional MRI, Blood Oxygen Level Dependent,
Cerebral blood flow, Arterial spin labelling, evoked activity, Detection-Estimation, Bayesian inference, MCMC, variational approximations, Functional brain parcellation.
- **Scale-free brain dynamics:** Magnetoencephalography (MEG), o
ngoing activity, self-similarity, sequential neural processing, Multifractal Analysis, parallel neural multiplexing, functional connectivity, fractal connectivity.
3. **Cognitive neuroscience**: multi-perceptual learning, auditory/visual binding, plasticity.
#### <a name="TOC-Industrial-interests:" style="color: #4e7dbf;"></a>Industrial interests:
####
1. Patenting new MRI reconstruction algorithms for dynamic parallel imaging.
2. Clinical trials for testing new drugs for Alzheimer's disease by developing new functional biomarkers.
Publications
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 7
- 7
- 5
- 4
- 4
- 3
- 3
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
|
Achieving high temporal resolution using a sliding-window approach for SPARKLING fMRI data: A simulation studyISMRM & ISMRT 2024 - Annual Meeting & Exhibition, ISMRM, May 2024, Singapore, Singapore
Communication dans un congrès
hal-04427082v1
|
|
Denoising of FMRI volumes using local low rank methodsISBI 2023 - International Symposium on Biomedical Imaging, Apr 2023, Carthagena de India, Colombia. pp.1-5, ⟨10.1109/ISBI53787.2023.10230489⟩
Communication dans un congrès
hal-03895194v2
|
|
Impact of $\Delta \textrm{B}_0$ field imperfections correction on BOLD sensitivity in 3D-SPARKLING fMRI dataISMRM & ISMRT 2023 - Annual Meeting & Exhibition - Annual Meeting of the International Society for Magnetic Resonance in Medicine, International Society for Magnetic Resonance in Medicine, Jun 2023, Toronto, Canada
Communication dans un congrès
hal-04052904v1
|
|
Non-Cartesian non-Fourier fmri imaging for high-resolution retinotopic mapping at 7 TeslaCAMSAP 2023 - IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, IEEE, Dec 2023, Los Suenos, Costa Rica
Communication dans un congrès
hal-04363378v1
|
|
Prospects of non-Cartesian 3D-SPARKLING encoding for functional MRI: A preliminary case study for retinotopic mappingJoint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, May 2022, London, United Kingdom
Communication dans un congrès
hal-03901204v1
|
|
MORE-SPARKLING: non-cartesian trajectories with minimized off-resonance effectsJoint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, May 2022, London, United Kingdom
Communication dans un congrès
hal-03923706v1
|
|
3D-SPARKLING for functional MRI: A pilot study for retinotopic mapping at 7TOHBM 2022, Jun 2022, Glasgow, United Kingdom
Communication dans un congrès
hal-03901259v1
|
|
B0 field distortions monitoring and correction for 3D non-Cartesian fMRI acquisitions using a field camera: Application to 3D-SPARKLING at 7TJoint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, May 2022, London, United Kingdom
Communication dans un congrès
hal-03901242v1
|
Recent advances in electron tomography and applications in the semiconductor IndustryFCMN 2022 - International Conference on Frontiers of Characterization and Metrology for Nanoelectronics, Jun 2022, Monterey, United States
Communication dans un congrès
cea-04196279v1
|