| Motion correction in MRI of the brain F Godenschweger, U Kägebein, D Stucht, U Yarach, A Sciarra, ... Physics in medicine & biology 61 (5), R32, 2016 | 223 | 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 Speck Scientific data 4 (1), 1-12, 2017 | 96 | 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, 2018 | 46 | 2018 |
| Prospective motion correction improves high‐resolution quantitative susceptibility mapping at 7T H Mattern, A Sciarra, F Lüsebrink, J Acosta‐Cabronero, O Speck Magnetic resonance in medicine 81 (3), 1605-1619, 2019 | 42 | 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, 2017 | 23 | 2017 |
| 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, 2021 | 14 | 2021 |
| ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning S Chatterjee, A Sciarra, M Dünnwald, RV Mushunuri, R Podishetti, ... 2021 29th European Signal Processing Conference (EUSIPCO), 940-944, 2021 | 11 | 2021 |
| Switching ability of over trained movements in a Parkinson’s disease rat model TM Florio, G Confalone, A Sciarra, A Sotgiu, M Alecci Behavioural brain research 250, 326-333, 2013 | 11 | 2013 |
| Quantitative and qualitative evaluation of bias field correction methods F Luesebrink, H Mettern, A Sciarra, O Speck Proc 26th Annual Meeting ISMRM, Honolulu, 2017 | 9 | 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, 2020 | 8 | 2020 |
| 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, 2022 | 6 | 2022 |
| 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, 2021 | 5 | 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-Jafra Bildverarbeitung für die Medizin 2020: Algorithmen–Systeme–Anwendungen …, 2020 | 5 | 2020 |
| Data from: 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 Speck | 5 | 2017 |
| T 1-weighted in vivo human whole brain MRI dataset with an ultrahigh isotropic resolution of 250 μm. Sci. Data 4, 170032 F Lüsebrink, A Sciarra, H Mattern, R Yakupov, O Speck | 5 | 2017 |
| 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, 2022 | 3 | 2022 |
| 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, 2399, 2021 | 3 | 2021 |
| 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 Speck Medizinische Fakultät, Otto-von-Guericke Universität Magdeburg, 2017 | 3 | 2017 |
| 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, 2022 | 2 | 2022 |
| 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, 2021 | 2 | 2021 |
