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Anca L Ralescu

Showing results (1-10 of 4) with videos related to

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Frontiers in Neurorobotics|August 8, 2022
Non-Fragile Observer-Based Adaptive Integral Sliding Mode Control for a Class of T-S Fuzzy Descriptor Systems With Unmeasurable Premise VariablesXiaorong Huang, Anca L Ralescu, Yiqiang Peng, et al.
Neuroimage|June 15, 2023
A novel collaborative self-supervised learning method for radiomic dataZhiyuan Li, Hailong Li, Anca L Ralescu, et al.
Surgical Neurology International|August 21, 2025
Using clinical and radiographic variables to predict intracranial aneurysm rupture status with machine learningMark D Johnson, Pradyumna Elavarthi, Seth Street, et al.
Artificial Intelligence in Medicine|October 6, 2024
Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopmentZhiyuan Li, Hailong Li, Anca L Ralescu, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Frontiers in Neurorobotics|August 8, 2022
Non-Fragile Observer-Based Adaptive Integral Sliding Mode Control for a Class of T-S Fuzzy Descriptor Systems With Unmeasurable Premise VariablesXiaorong Huang, Anca L Ralescu, Yiqiang Peng, et al.
Neuroimage|June 15, 2023
A novel collaborative self-supervised learning method for radiomic dataZhiyuan Li, Hailong Li, Anca L Ralescu, et al.
Surgical Neurology International|August 21, 2025
Using clinical and radiographic variables to predict intracranial aneurysm rupture status with machine learningMark D Johnson, Pradyumna Elavarthi, Seth Street, et al.
Artificial Intelligence in Medicine|October 6, 2024
Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopmentZhiyuan Li, Hailong Li, Anca L Ralescu, et al.
Pageof 1