In this issue, vol. 24, issue 1, January 2020, 5 papers were published as part of the Special Session on Information Fusion for Medical Data: Early, Late and Deep Fusion Methods for Multimodal Data. Please click below to view them on IEEE XPLORE.
- Studying the Manifold Structure of Alzheimer’s Disease: A Deep Learning Approach Using Convolutional Autoencoders
Martinez-Murcia, Francisco; Ortiz, Andres; Gorriz, Juan-Manuel; Ramirez, Javier; Castillo-Barnes, Diego - Evaluating and Enhancing the Generalization Performance of Machine Learning Models for Physical Activity Intensity Prediction from Raw Acceleration Data
Farrahi, Vahid; Niemela, Maisa; Tjurin, Petra; Kangas, Maarit; Korpelainen, Raija; Jamsa, Timo - Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis
Gao, Fei; Wu, Teresa; Chu, Xianghua; Yoon, Hyunsoo; Xu, Yanzhe; Patel, Bhavika - Fusion of Clinical, Self-Reported, and Multisensor Data for Predicting Falls
Silva, Joana; Sousa, Inκs; Cardoso, Jaime - Semi-Supervised Learning Algorithm for Identifying High-Priority Drug-Drug Interactions Through Adverse Event Reports
Liu, Ning; Chen, Cheng-Bang; Kumara, Soundar