Ciuc, M.
* 1997: Quantitative assessment of two skeletonization algorithms adapted to rectangular grids
* 2008: Adaptive-neighborhood best mean rank vector filter for impulsive noise removal
* 2015: Normalized Autobinomial Markov Channels For Pedestrian Detection
* 2016: AutoMarkov DNNs for object classification
* 2016: Automatic detection of cervical cells in Pap-smear images using polar transform and k-means segmentation
* 2016: Automatic monitoring system for the detection and evaluation of the evolution of hemangiomas
Includes: Ciuc, M. Ciuc, M.[Mihai]
Ciuca, M.[Madalina]
* 2023: Real Representation of the Polarimetric Scattering Matrix for Monostatic Radar
Ciuccarelli, P.[Paolo]
* 2015: CitySensing: Fusing City Data for Visual Storytelling
Ciucci, A.[Alessandro]
* 2020: GPR and ERT Investigations in Urban Areas: the Case-Study of Matera (Southern Italy)
Ciuciu, P.
* 2003: Unsupervised robust nonparametric estimation of the hemodynamic response function for any FMRI experiment
* 2004: Estimation of the Hemodynamic Response in Event-Related Functional MRI: Bayesian Networks as a Framework for Efficient Bayesian Modeling and Inference
* 2006: Improving Sensitivity and Reliability of fMRI Group Studies through High Level Combination of Individual Subjects Results
* 2007: Structural Analysis of fMRI Data Revisited: Improving the Sensitivity and Reliability of fMRI Group Studies
* 2009: Fast bilinear extrapolation of 3D ising field partition function. application to fMRI image analysis
* 2009: Wavelet-based parallel MRI regularization using bivariate sparsity promoting priors
* 2010: Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
* 2012: Robust voxel-wise joint detection estimation of brain activity in fMRI
* 2013: Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach
* 2014: Variable Density Sampling with Continuous Trajectories
* 2016: On the Generation of Sampling Schemes for Magnetic Resonance Imaging
* 2016: Projection Algorithm for Gradient Waveforms Design in Magnetic Resonance Imaging, A
* 2018: Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty
* 2021: Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction
* 2022: NC-PDNet: A Density-Compensated Unrolled Network for 2D and 3D Non-Cartesian MRI Reconstruction
* 2022: Optimizing Full 3D SPARKLING Trajectories for High-Resolution Magnetic Resonance Imaging
Includes: Ciuciu, P. Ciuciu, P.[Philippe]
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