Alessandro Sciarra

About Alessandro Sciarra

Alessandro Sciarra, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Otto-von-Guericke-Universität Magdeburg, specializes in the field of MRI, deep learning, image processing, physics, programming.

His recent articles reflect a diverse array of research interests and contributions to the field:

PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation

Graph Model to Represent Color Closeness in Pseudo-color Multimodal MRI

Star-Net: a Multi-Branch Convolutional Network for Multiple Source Image Segmentation

StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder

Artificial Intelligence Based Strategies for Data-Driven Radial MRI

Automated ssim regression for detection and quantification of motion artefacts in brain mr images

Reference-less ssim regression for detection and quantification of motion artefacts in brain mris

Quantitative evaluation of prospective motion correction in healthy subjects at 7T MRI

Alessandro Sciarra Information

University

Position

___

Citations(all)

546

Citations(since 2020)

451

Cited By

225

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Alessandro Sciarra Skills & Research Interests

MRI

deep learning

image processing

physics

programming

Top articles of Alessandro Sciarra

PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation

arXiv preprint arXiv:2312.15686

2023/12/25

Graph Model to Represent Color Closeness in Pseudo-color Multimodal MRI

2023/6/22

Star-Net: a Multi-Branch Convolutional Network for Multiple Source Image Segmentation

2022/10/19

StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder

Computers in biology and medicine

2022/10/1

Artificial Intelligence Based Strategies for Data-Driven Radial MRI

2022/9/27

Automated ssim regression for detection and quantification of motion artefacts in brain mr images

arXiv preprint arXiv:2206.06725

2022/6/14

Reference-less ssim regression for detection and quantification of motion artefacts in brain mris

2022/4/25

Quantitative evaluation of prospective motion correction in healthy subjects at 7T MRI

Magnetic resonance in medicine

2022/2

Perceived and mentally rotated contents are differentially represented in cortical depth of V1

Communications biology

2021/9/14

ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning

2021/8/23

Going beyond the image space: undersampled mri reconstruction directly in the k-space using a complex valued residual neural network

2021 ISMRM & SMRT Annual Meeting & Exhibition

2021

Unsupervised reconstruction based anomaly detection using a variational auto encoder

2021 ISMRM & SMRT Annual Meeting & Exhibition

2021

Three-dimensional surface reconstruction of the human cochlear nucleus: implications for auditory brain stem implant design

Journal of Neurological Surgery Part B: Skull Base

2020/4

Automated segmentation of the locus coeruleus from neuromelanin-sensitive 3T MRI using deep convolutional neural networks

2020

Alessandro Sciarra
Alessandro Sciarra

H-Index: 6

Steffen Oeltze-Jafra
Steffen Oeltze-Jafra

H-Index: 16

Retrospective motion correction of MR images using prior-assisted deep learning

arXiv preprint arXiv:2011.14134

2020/11/28

See List of Professors in Alessandro Sciarra University(Otto-von-Guericke-Universität Magdeburg)