Although open databases are an important resource in the current deep learning (DL) era,
they are sometimes used “off label”: Data published for one task are used to train algorithms …

Accurately reconstructing deep cortical source activity from EEG recordings is essential for
understanding cognitive processes. However, currently, there is a lack of reliable methods …

Non-invasive MEG/EEG source imaging provides valuable information about the
epileptogenic brain areas which can be used to aid presurgical planning in focal epilepsy …

Purpose In vivo range and dose verification based on proton‐induced acoustics
(protoacoustics) is potentially a useful tool for proton therapy. Built upon our previous study …

A bidirectional processing method using radar and tomography approaches is proposed to
achieve an accurate dielectric profile reconstruction for breast cancer microwave imaging …

The present work deals with the application of the golden section search method (GSSM) for
predicting the internal rate of heat generation to reconstruct a given temperature distribution …

The inverse problem of electrocardiography (IPE) has been formulated in different ways in
order to non invasively obtain valuable informations about the heart condition. Most of the …

We present a multiscale reconstruction framework for single-particle analysis (SPA). The
representation of three-dimensional (3D) objects with scaled basis functions permits the …

Many old masonry structures still in use need to be assessed considering the safety
requirements proposed by current building codes. To this aim, the use of detailed numerical …

Magnetic induction tomography (MIT) is a promising approach in rapid diagnosis and
continuous monitoring of cerebral hemorrhage. A new algorithm for the reconstruction of …