Special Issue "Machine Learning Applied to Medical Image Analysis"
Deadline for manuscript submissions: 30 November 2020.
Interests: artificial intelligence; machine learning; multimodal functional neuroimaging integration; brain connectivity inference and network analysis; brain–computer interface
Interests: machine learning; artificial intelligence; computer vision; human-robot interaction; multimodal learning; cognitive robotics
In the last decade, machine learning (ML) techniques have been proven to be extremely powerful in many fields of computer vision and image processing, addressing several classical problems in a more effective and efficient way than ever before. Leveraging the massive growth in dimension, resolution, complexity, and heterogeneity (multimodality) of medical image datasets, ML seems to be a valuable technology to help clinicians in understanding human health and disease. ML plays an increasingly relevant role to make sense of imaging data to identify signatures of disorders and, when the temporal information is available, to decode the dynamic activity. The era of “big imaging data” raises new challenges for finding population patterns, making predictions, and extracting relevant biomarkers.
This Special Issue is aimed at presenting the state-of-the-art, current challenges and future trends for the successful application of ML to medical imaging. Original contributions considering recent findings in theory, methodologies, and applications in the field of ML for medical image analysis are welcome. Potential topics include but are not limited to:
- Medical image segmentation;
- Shape modeling of anatomical structures;
- Multimodal medical image registration;
- Lesion detection;
- Temporal prediction of disease evolution;
- Brain connectivity;
- Transfer learning and domain adaptation.
Dr. Silvia Francesca Storti
Dr. Francesco Setti
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Machine learning methods
- Image and signal analysis
- (Dynamic) functional imaging
- Multimodal data analysis
- Deep learning
- Artificial neural networks