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High-accuracy wearable detection of freezing of gait in Parkinson's disease based on pseudo-multimodal features
Guo, Yuzhu, Huang, Debin, Zhang, Wei, Wang, Lipeng, Li, Yang, Olmo, Gabriella, Wang, Qiao, Meng, Fangang, Chan, Piu
Published in Computers in biology and medicine (01.07.2022)
Published in Computers in biology and medicine (01.07.2022)
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Classification and Graphical Analysis of Alzheimer’s Disease and Its Prodromal Stage Using Multimodal Features From Structural, Diffusion, and Functional Neuroimaging Data and the APOE Genotype
Gupta, Yubraj, Kim, Ji-In, Kim, Byeong Chae, Kwon, Goo-Rak
Published in Frontiers in aging neuroscience (30.07.2020)
Published in Frontiers in aging neuroscience (30.07.2020)
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Machine learning based congestive heart failure detection using feature importance ranking of multimodal features
Hussain, Lal, Aziz, Wajid, Khan, Ishtiaq Rasool, Alkinani, Monagi H., Alowibdi, Jalal S.
Published in Mathematical biosciences and engineering : MBE (01.01.2021)
Published in Mathematical biosciences and engineering : MBE (01.01.2021)
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Detecting congestive heart failure by extracting multimodal features with synthetic minority oversampling technique (SMOTE) for imbalanced data using robust machine learning techniques
Hussain, Lal, Lone, Kashif Javed, Awan, Imtiaz Ahmed, Abbasi, Adeel Ahmed, Pirzada, Jawad-ur-Rehman
Published in Waves in random and complex media (04.05.2022)
Published in Waves in random and complex media (04.05.2022)
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Machine learning based classification of normal, slow and fast walking by extracting multimodal features from stride interval time series
Aziz, Wajid, Hussain, Lal, Rasool Khan, Ishtiaq, S. Alowibdi, Jalal, H. Alkinani, Monagi
Published in Mathematical biosciences and engineering : MBE (2021)
Published in Mathematical biosciences and engineering : MBE (2021)
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Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis
Peng, Jialin, Zhu, Xiaofeng, Wang, Ye, An, Le, Shen, Dinggang
Published in Pattern recognition (01.04.2019)
Published in Pattern recognition (01.04.2019)
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Multi-modal temporal action segmentation for manufacturing scenarios
Romeo, Laura, Marani, Roberto, Perri, Anna Gina, Gall, Juergen
Published in Engineering applications of artificial intelligence (15.05.2025)
Published in Engineering applications of artificial intelligence (15.05.2025)
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Multimodal feature fusion-based graph convolutional networks for Alzheimer’s disease stage classification using F-18 florbetaben brain PET images and clinical indicators
Lee, Gyu-Bin, Jeong, Young-Jin, Kang, Do-Young, Yun, Hyun-Jin, Yoon, Min
Published in PloS one (23.12.2024)
Published in PloS one (23.12.2024)
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Deep joint learning diagnosis of Alzheimer’s disease based on multimodal feature fusion
Wang, Jingru, Wen, Shipeng, Liu, Wenjie, Meng, Xianglian, Jiao, Zhuqing
Published in BioData mining (05.11.2024)
Published in BioData mining (05.11.2024)
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Fine-Grained Assessment of Upper-Limb Bradykinesia Through Multimodal Feature Enhancement and Deep Learning
Lin, Fang, Wang, Zhelong, Li, Zhenglin, Zhao, Hongyu, Shi, Xin, Liu, Ruichen, Li, Jiaxi, Peng, Daoyong, Ru, Bo
Published in IEEE transactions on human-machine systems (01.08.2025)
Published in IEEE transactions on human-machine systems (01.08.2025)
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A Multimodal Feature Fusion Framework for Sleep-Deprived Fatigue Detection to Prevent Accidents
Virk, Jitender Singh, Singh, Mandeep, Singh, Mandeep, Panjwani, Usha, Ray, Koushik
Published in Sensors (Basel, Switzerland) (01.04.2023)
Published in Sensors (Basel, Switzerland) (01.04.2023)
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Early diagnosis of mild cognitive impairment and Alzheimer’s disease using multimodal feature-based deep learning models in a Chinese elderly population
Wang, Chu, Wang, Zhengyi, Herrero, María Trinidad, Xu, Tao, Chu, Fengfeng, Zeng, Hong, Tao, Ming
Published in Asian journal of psychiatry (01.09.2025)
Published in Asian journal of psychiatry (01.09.2025)
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