Author

Alessandro Sciarra

Otto von Guericke University Magdeburg - Cited by 491 - MRI - deep learning - image processing - physics - programming

Biography

Alessandro Sciarra is affiliated to Prostate Cancer Unit, Department Urology U Bracci, Policlinico Umberto I, University Sapienza of RomeViale Policlinico 155,00161 Rome, Italy. His research interests reflect in his wide range of publications in various national and international journals.He published more than 40 scientific papers. He received more than 30 acknowledgments and outstanding awards.
Title
Cited by
Year
Motion correction in MRI of the brain
F Godenschweger, U Kägebein, D Stucht, U Yarach, A Sciarra, ...Physics in medicine & biology 61 (5), R32, 2016201
212
2016
T1-weighted in vivo human whole brain MRI dataset with an ultrahigh isotropic resolution of 250 μm
F Lüsebrink, A Sciarra, H Mattern, R Yakupov, O SpeckScientific data 4 (1), 1-12, 2017201
94
2017
Prospective motion correction enables highest resolution time‐of‐flight angiography at 7T
H Mattern, A Sciarra, F Godenschweger, D Stucht, F Lüsebrink, G Rose, ...Magnetic resonance in medicine 80 (1), 248-258, 2018201
45
2018
Prospective motion correction improves high‐resolution quantitative susceptibility mapping at 7T
H Mattern, A Sciarra, F Lüsebrink, J Acosta‐Cabronero, O SpeckMagnetic resonance in medicine 81 (3), 1605-1619, 2019201
41
2019
Model‐based iterative reconstruction for single‐shot EPI at 7 T
U Yarach, MH In, I Chatnuntawech, B Bilgic, F Godenschweger, H Mattern, ...Magnetic resonance in medicine 78 (6), 2250-2264, 2017201
21
2017
Switching ability of over trained movements in a Parkinson’s disease rat model
TM Florio, G Confalone, A Sciarra, A Sotgiu, M AlecciBehavioural brain research 250, 326-333, 2013201
11
2013
ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning
S Chatterjee, A Sciarra, M Dünnwald, RV Mushunuri, R Podishetti, ...2021 2th European Signal Processing Conference (EUSIPCO), 40-44, 2021202
9
2021
Perceived and mentally rotated contents are differentially represented in cortical depth of V1
P Iamshchinina, D Kaiser, R Yakupov, D Haenelt, A Sciarra, H Mattern, ...Communications Biology 4 (1), 1069, 2021202
8
2021
Quantitative and qualitative evaluation of bias field correction methods
F Luesebrink, H Mettern, A Sciarra, O SpeckProc 26th Annual Meeting ISMRM, Honolulu, 2017201
8
2017
Retrospective motion correction of MR images using prior-assisted deep learning
S Chatterjee, A Sciarra, M Dünnwald, S Oeltze-Jafra, A Nürnberger, ...arXiv preprint arXiv:2011.14134, 2020202
7
2020
Going beyond the image space: undersampled MRI reconstruction directly in the k-space using a complex valued residual neural network
S Chatterjee, C Sarasaen, A Sciarra, M Breitkopf, S Oeltze-Jafra, ...2021 ISMRM & SMRT Annual Meeting & Exhibition 5, 1757, 2021202
4
2021
Automated segmentation of the locus coeruleus from neuromelanin-sensitive 3T MRI using deep convolutional neural networks
M Dünnwald, MJ Betts, A Sciarra, E Düzel, S Oeltze-JafraBildverarbeitung für die Medizin 2020: Algorithmen–Systeme–Anwendungen …, 2020202
4
2020
Unsupervised reconstruction based anomaly detection using a variational auto encoder
S Chatterjee, A Sciarra, M Dünnwald, S Agrawal, P Tummala, D Setlur, ...2021 ISMRM & SMRT Annual Meeting & Exhibition, 299, 2021202
3
2021
Quantitative evaluation of prospective motion correction in healthy subjects at 7T MRI
A Sciarra, H Mattern, R Yakupov, S Chatterjee, D Stucht, S Oeltze‐Jafra, ...Magnetic resonance in medicine 87 (2), 646-657, 2022202
3
2022
Raw data from: T1-weighted in vivo human whole brain MRI dataset with an ultrahigh isotropic resolution of 250 μ m
F Lüsebrink, A Sciarra, H Mattern, R Yakupov, O SpeckMedizinische Fakultät, Otto-von-Guericke Universität Magdeburg, 2017201
3
2017
Resolving to super resolution multi-dimensional diffusion imaging (Super-MUDI)
V Nath, M Pizzolato, M Palombo, N Gyori, KG Schilling, CH Hansen, Y Qi, ...ISMRM & SMRT Annual Meeting, 010
2
2021
Reference-less SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MRIs
A Sciarra, S Chatterjee, M Dünnwald, G Placidi, A Nürnberger, O Speck, ...Medical Imaging with Deep Learning, 0
2
2022
StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder
S Chatterjee, A Sciarra, M Dünnwald, P Tummala, SK Agrawal, A Jauhari, ...Computers in Biology and Medicine 149, 106093, 0
2
2022
Machine learning algorithms for detection of motion artifacts: a general approach
A Sciarra, H Mattern, O SpeckPoster presented at: joint annual meeting ISMRM-ESMRMB, 20820
1
2018
Beyond the biological resolution limit: Prospectively motion corrected Time of Flight angiography at 7T
H Mattern, A Sciarra, F Godenschweger, D Stucht, F Lüsebrink, O SpeckISMRM, 20720
1
2017

Referred From: https://scholar.google.com/citations?user=eMHepFUAAAAJ&hl=en

Cited by
Citations 491
h-index 8
i10-index 6
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