Special Issue on Machine Learning for Biomedical Data Analysis
Source abstract
Abstract
In our world, increasing amounts of data are produced everyday [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Artificial Intelligence in Healthcare · Machine Learning in Healthcare · ECG Monitoring and Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Computer Science Division, Pablo de Olavide University, ES-41013 Seville, Spain
References (8)
Show source-provided references
1. Zemouri, R., Zerhouni, N., and Racoceanu, D. (2019). Deep Learning in the Biomedical Applications: Recent and Future Status. Appl. Sci., 9.10.3390/app9081526 ↗
2. Oh, S.L., Vicnesh, J., Ciaccio, E.J., Yuvaraj, R., and Acharya, U.R. (2019). Deep Convolutional Neural Network Model for Automated Diagnosis of Schizophrenia Using EEG Signals. Appl. Sci., 9.10.3390/app9142870 ↗
3. Kim, M., Han, J.C., Hyun, S.H., Janssens, O., Van Hoecke, S., Kee, C., and De Neve, W. (2019). Medinoid: Computer-Aided Diagnosis and Localization of Glaucoma Using Deep Learning. Appl. Sci., 9.10.3390/app9153064 ↗
4. Gonella, G., Binaghi, E., Nocera, P., and Mordacchini, C. (2019). Investigating the Behaviour of Machine Learning Techniques to Segment Brain Metastases in Radiation Therapy Planning. Appl. Sci., 9.10.3390/app9163335 ↗
5. Ben Nouma, B., Mitiche, A., and Mezghani, N. (2019). A Sample-Encoding Generalization of the Kohonen Associative Memory and Application to Knee Kinematic Data Representation and Pathology Classification. Appl. Sci., 9.10.3390/app9091741 ↗
6. Jin, C.B., Kim, H., Liu, M., Han, I.H., Lee, J.I., Lee, J.H., Joo, S., Park, E., Ahn, Y.S., and Cui, X. (2019). DC2Anet: Generating Lumbar Spine MR Images from CT Scan Data Based on Semi-Supervised Learning. Appl. Sci., 9.10.3390/app9122521 ↗
7. Czmil, A., Czmil, S., and Mazur, D. (2019). A Method to Detect Type 1 Diabetes Based on Physical Activity Measurements Using a Mobile Device. Appl. Sci., 9.10.3390/app9122555 ↗
8. Dankwa, S., and Zheng, W. (2019). Special Issue on Using Machine Learning Algorithms in the Prediction of Kyphosis Disease: A Comparative Study. Appl. Sci., 9.10.3390/app9163322 ↗