Predicting Antiseizure Medication Treatment in Children with Rare Tuberous Sclerosis Complex–Related Epilepsy Using Deep Learning
BACKGROUND AND PURPOSE: Tuberous sclerosis complex disease is a rare, multisystem
genetic disease, but appropriate drug treatment allows many pediatric patients to have …
genetic disease, but appropriate drug treatment allows many pediatric patients to have …
Predicting Drug Treatment Outcomes in Children with Tuberous Sclerosis Complex–Related Epilepsy: A Clinical Radiomics Study
Z Hu, D Jiang, X Zhao, J Yang… - American Journal …, 2023 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Highly predictive markers of drug treatment outcomes of
tuberous sclerosis complex–related epilepsy are a key unmet clinical need. The objective of …
tuberous sclerosis complex–related epilepsy are a key unmet clinical need. The objective of …
Recognizing pediatric tuberous sclerosis complex based on multi-contrast MRI and deep weighted fusion network
Multi-contrast magnetic resonance imaging (MRI) is wildly applied to identify tuberous
sclerosis complex (TSC) children in a clinic. In this work, a deep convolutional neural …
sclerosis complex (TSC) children in a clinic. In this work, a deep convolutional neural …
Pediatric TSC-Related Epilepsy Classification from Clinical Mr Images Using Quantum Neural Network
Tuberous sclerosis complex (TSC) presents as a multisystem disorder with profound
neurological impacts. Our study introduces Quantum-Residual Neural Network (QR-Net), a …
neurological impacts. Our study introduces Quantum-Residual Neural Network (QR-Net), a …
Identification of Children's Tuberous Sclerosis Complex with Multiple-contrast MRI and 3D Convolutional Network
Identifying rare tuberous sclerosis complex (TSC) children is valuable and crucial. Magnetic
resonance imaging (MRI) is used for rare TSC diagnoses. In this work, T2w and FLAIR were …
resonance imaging (MRI) is used for rare TSC diagnoses. In this work, T2w and FLAIR were …
eTSC-Net: A Parameter-efficient Convolutional Neural Network for Drug Treatment Outcome Studies of Pediatric Epilepsy
C Zhao, D Jiang, X Zhao, J Yang, D Liang, B Yuan… - 2022 - researchsquare.com
Background: Ability to predict the outcomes of pharmacological treatment of epilepsy in
pediatric patients with tuberous sclerosis complex (TSC) can confer a distinct leverage and …
pediatric patients with tuberous sclerosis complex (TSC) can confer a distinct leverage and …
[PDF][PDF] Deep Learning Combination of FLAIR and T2W for Improved TSC Lesion Detection
L Lin, Y Zhou, R Lin, D Jiang, X Zhao, C Zhao, D Liang… - researchgate.net
Results: The fused image, FLAIR3, demonstrates enhanced lesion contrast and outperforms
T2w and FLAIR images in lesion segmentation. Impact: The enhanced lesion visualization …
T2w and FLAIR images in lesion segmentation. Impact: The enhanced lesion visualization …
[PDF][PDF] Importance of Clinical MRI Features in Predicting Epilepsy Drug Treatment Outcome for Pediatric Tuberous Sclerosis Complex
Predicting epilepsy drug treatment outcome is important for treating children with tuberous
sclerosis complex (TSC). Here, the best performing model was selected to explore the …
sclerosis complex (TSC). Here, the best performing model was selected to explore the …