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1.
Identifying key factors for predicting O6-Methylguanine-DNA methyltransferase status in adult patients with diffuse glioma: a multimodal analysis of demographics, radiomics, and MRI by variable Vision Transformer.
Neuroradiology
; 66(5): 761-773, 2024 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-38472373
2.
Transformer Unlocks the Gateway to Advanced Research: Predicting Diseases on Chest Radiographs Using Multimodal Data.
Radiology
; 310(2): e232760, 2024 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-38349242
3.
Predicting isocitrate dehydrogenase status among adult patients with diffuse glioma using patient characteristics, radiomic features, and magnetic resonance imaging: Multi-modal analysis by variable vision transformer.
Magn Reson Imaging
; 111: 266-276, 2024 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-38815636
4.
Vision Transformer-based Deep Learning Models Accelerate Further Research for Predicting Neurosurgical Intervention.
Radiol Artif Intell
; 6(4): e240117, 2024 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-38864744
5.
Be Careful About Metrics When Imbalanced Data Is Used for a Deep Learning Model.
Chest
; 165(3): e87-e89, 2024 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-38461027
6.
Letter to the editor on "Automated classification of fat-infiltrated axillary lymph nodes on screening mammograms".
Br J Radiol
; 97(1154): 479-480, 2024 Feb 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-38308039
7.
Medical Statistics Unlock the Gateway to Further Research: Using Deep Learning to Predict CDKN2A/B Homozygous Deletion in Isocitrate Dehydrogenase-Mutant Astrocytoma.
Korean J Radiol
; 24(12): 1303-1305, 2023 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-38016690
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