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Reply to Nicholas et al. Using a ResNet-18 Network to Detect Features of Alzheimer’s Disease on Functional Magnetic Resonance Imaging: A Failed Replication. Comment on “Odusami et al. Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network. Diagnostics 2021, 11, 1071”
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140066/ https://www.ncbi.nlm.nih.gov/pubmed/35626250 http://dx.doi.org/10.3390/diagnostics12051097 |
| _version_ | 1784715008228196352 |
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| author | Odusami, Modupe Maskeliūnas, Rytis Damaševičius, Robertas Krilavičius, Tomas |
| author_facet | Odusami, Modupe Maskeliūnas, Rytis Damaševičius, Robertas Krilavičius, Tomas |
| author_sort | Odusami, Modupe |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9140066 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | MDPI |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-91400662022-05-28 Reply to Nicholas et al. Using a ResNet-18 Network to Detect Features of Alzheimer’s Disease on Functional Magnetic Resonance Imaging: A Failed Replication. Comment on “Odusami et al. Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network. Diagnostics 2021, 11, 1071” Odusami, Modupe Maskeliūnas, Rytis Damaševičius, Robertas Krilavičius, Tomas Diagnostics (Basel) Reply MDPI 2022-04-27 /pmc/articles/PMC9140066/ /pubmed/35626250 http://dx.doi.org/10.3390/diagnostics12051097 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
| spellingShingle | Reply Odusami, Modupe Maskeliūnas, Rytis Damaševičius, Robertas Krilavičius, Tomas Reply to Nicholas et al. Using a ResNet-18 Network to Detect Features of Alzheimer’s Disease on Functional Magnetic Resonance Imaging: A Failed Replication. Comment on “Odusami et al. Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network. Diagnostics 2021, 11, 1071” |
| title | Reply to Nicholas et al. Using a ResNet-18 Network to Detect Features of Alzheimer’s Disease on Functional Magnetic Resonance Imaging: A Failed Replication. Comment on “Odusami et al. Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network. Diagnostics 2021, 11, 1071” |
| title_full | Reply to Nicholas et al. Using a ResNet-18 Network to Detect Features of Alzheimer’s Disease on Functional Magnetic Resonance Imaging: A Failed Replication. Comment on “Odusami et al. Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network. Diagnostics 2021, 11, 1071” |
| title_fullStr | Reply to Nicholas et al. Using a ResNet-18 Network to Detect Features of Alzheimer’s Disease on Functional Magnetic Resonance Imaging: A Failed Replication. Comment on “Odusami et al. Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network. Diagnostics 2021, 11, 1071” |
| title_full_unstemmed | Reply to Nicholas et al. Using a ResNet-18 Network to Detect Features of Alzheimer’s Disease on Functional Magnetic Resonance Imaging: A Failed Replication. Comment on “Odusami et al. Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network. Diagnostics 2021, 11, 1071” |
| title_short | Reply to Nicholas et al. Using a ResNet-18 Network to Detect Features of Alzheimer’s Disease on Functional Magnetic Resonance Imaging: A Failed Replication. Comment on “Odusami et al. Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network. Diagnostics 2021, 11, 1071” |
| title_sort | reply to nicholas et al. using a resnet-18 network to detect features of alzheimer’s disease on functional magnetic resonance imaging: a failed replication. comment on “odusami et al. analysis of features of alzheimer’s disease: detection of early stage from functional brain changes in magnetic resonance images using a finetuned resnet18 network. diagnostics 2021, 11, 1071” |
| topic | Reply |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140066/ https://www.ncbi.nlm.nih.gov/pubmed/35626250 http://dx.doi.org/10.3390/diagnostics12051097 |
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