| Fastsurfer-a fast and accurate deep learning based neuroimaging pipeline L Henschel, S Conjeti, S Estrada, K Diers, B Fischl, M Reuter NeuroImage 219, 117012, 2020 | 319 | 2020 |
| FatSegNet: A fully automated deep learning pipeline for adipose tissue segmentation on abdominal dixon MRI S Estrada, R Lu, S Conjeti, X Orozco‐Ruiz, J Panos‐Willuhn, ... Magnetic Resonance in Medicine 83 (4), 1471-1483, 2020 | 72 | 2020 |
| Complex fully convolutional neural networks for MR image reconstruction MA Dedmari, S Conjeti, S Estrada, P Ehses, T Stöcker, M Reuter Machine Learning for Medical Image Reconstruction: First International …, 2018 | 56 | 2018 |
| Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks S Estrada, S Conjeti, M Ahmad, N Navab, M Reuter Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018 | 18 | 2018 |
| Automated olfactory bulb segmentation on high resolutional T2-weighted MRI S Estrada, R Lu, K Diers, W Zeng, P Ehses, T Stöcker, MMB Breteler, ... NeuroImage 242, 118464, 2021 | 7 | 2021 |
| Automated deep learning–based segmentation of abdominal adipose tissue on Dixon MRI in adolescents: a prospective population-based study T Wu, S Estrada, R van Gils, R Su, VWV Jaddoe, EHG Oei, S Klein American Journal of Roentgenology 222 (1), e2329570, 2024 | 4 | 2024 |
| Development of a computed tomography phantom to evaluate radiation dose and image quality DG Cardona, ESE León, AZ Santamaría, L Benítez, JCR Giraldo 2013 Pan American Health Care Exchanges (PAHCE), 1-6, 2013 | 2 | 2013 |
| FastSurfer. L Henschel, S Conjeti, S Estrada, K Diers, B Fischl, M Reuter Bildverarbeitung für die Medizin, 208, 2020 | 1 | 2020 |
| Dataset: HypVINN Checkpoints S Estrada, E Bahrami, NA Aziz, M Reuter, D Kügler, P Xu, M Breteler, ... Artificial Intelligence in Medicine, 2024 | | 2024 |
| Reply to “Automatic Adipose Tissue Segmentation in Adolescents: A Promising Frontier” T Wu, S Estrada, R van Gils, R Su, VWV Jaddoe, EHG Oei, S Klein American Journal of Roentgenology 222 (1), e2330371, 2024 | | 2024 |
| Versatile MRI acquisition and processing protocol for population‐based neuroimaging A Koch, R Stirnberg, S Estrada, W Zeng, V Lohner, M Shahid, P Ehses, ... Alzheimer's & Dementia 19, e081914, 2023 | | 2023 |
| Associations of adherence to a dietary index based on the EAT–Lancet reference diet with cognition, brain volumes, and ecological sustainability parameters: Results from the … JF Tavares, CA Conzen, S Estrada, R Etteldorf, EN Landstra, ... Alzheimer's & Dementia 19, e079564, 2023 | | 2023 |
| FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRI S Estrada, D Kügler, E Bahrami, P Xu, D Mousa, MMB Breteler, NA Aziz, ... Imaging Neuroscience 1, 1-32, 2023 | | 2023 |
| Epigenome‐wide association study of hippocampal volume D Liu, NA Aziz, S Estrada, M Reuter, MMB Breteler Alzheimer's & Dementia 17, e053107, 2021 | | 2021 |
| Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI S Estrada, R Lu, S Conjeti, X Orozco, J Panos, MMB Breteler, M Reuter Bildverarbeitung für die Medizin 2020: Algorithmen–Systeme–Anwendungen …, 2020 | | 2020 |
| Validation of a dual energy technique using a single source multidetector computed tomography scanner DG Cardona, ESE León, AZ Santamaría, L Benítez, JCR Giraldo 2013 Pan American Health Care Exchanges (PAHCE), 1-5, 2013 | | 2013 |
Prof. Dr. Martin ReuterDirector AI in Medical Imaging DZNE Bonn Germany, Radiology & Neurology at Harvard Medical SchoolVerified email at mgh.harvard.edu
