179 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of GenoaIT6 papers
- Italian Institute of TechnologyIT4 papers
- Superconducting and other Innovative Materials and Devices InstituteIT3 papers
- University of BolognaIT2 papers
- University of Castilla-La ManchaES2 papers
- University of PaduaIT2 papers
- Aristotle University of ThessalonikiGR1 paper
- Associazione Italiana Sclerosi MultiplaIT1 paper
- Azienda USL di BolognaIT1 paper
- Biomedical Research Networking Center on Neurodegenerative DiseasesES1 paper
- Candiolo Cancer InstituteIT1 paper
- Central European Institute of TechnologyCZ1 paper
11 papers
EMG-based Control Strategies of a Supernumerary Robotic Hand for the Rehabilitation of Sub-Acute Stroke Patients: Proof of Concept
Marina Gnocco, Manuel G. Catalano, Giorgio Grioli +2
One of the most frequent and severe aftermaths of a stroke is the loss of upper limb functionality. Therapy started in the sub-acute phase proved more effective, mainly when the pa…
Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brain
Mo Wang, Kexin Lou, Zeming Liu +2
Designing a transcranial electrical stimulation (TES) strategy requires considering multiple objectives, such as intensity in the target area, focality, stimulation depth, and avoi…
A Digital Image Processing Approach for Hepatic Diseases Staging based on the Glisson's Capsule
Marco Trombini, Paolo Borro, Sebastiano Ziola +1
Due to the need for quick and effective treatments for liver diseases, which are among the most common health problems in the world, staging fibrosis through non-invasive and econo…
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study
Gustav Mårtensson, Daniel Ferreira, Tobias Granberg +22
Deep learning (DL) methods have in recent years yielded impressive results in medical imaging, with the potential to function as clinical aid to radiologists. However, DL models in…
Self-organizing memristive nanowire networks with structural plasticity emulate biological neuronal circuits
Gianluca Milano, Giacomo Pedretti, Matteo Fretto +5
Acting as artificial synapses, two-terminal memristive devices are considered fundamental building blocks for the realization of artificial neural networks. Organized into large ar…
An increase in membrane cholesterol by graphene oxide disrupts calcium homeostasis in primary astrocytes
Mattia Bramini, Martina Chiacchiaretta, Andrea Armirotti +8
The use of graphene nanomaterials (GNMs) for biomedical applications targeted to the central nervous system is exponentially increasing, although precise information on their effec…
Mammographic density: Comparison of visual assessment with fully automatic calculation on a multivendor dataset
Daniela Sacchetto, Lia Morra, Silvano Agliozzo +25
Objectives: To compare breast density (BD) assessment provided by an automated BD evaluator (ABDE) with that provided by a panel of experienced breast radiologists, on a multivendo…
Graphene oxide upregulates the homeostatic functions of primary astrocytes and modulates astrocyte-to-neuron communication
Martina Chiacchiaretta, Mattia Bramini, Anna Rocchi +7
Graphene-based materials are the focus of intense research efforts to devise novel theranostic strategies for targeting the central nervous system. In this work, we have investigat…
Parametric Imaging of FDG-PET Data Using Physiology and Iterative Regularization: Application to the Hepatic and Renal Systems
Mara Scussolini, Sara Garbarino, Gianmario Sambuceti +2
The present paper proposes a novel computational method for parametric imaging of nuclear medicine data. The mathematical procedure is general enough to work for compartmental mode…
Sliding window and compressive sensing for low-field dynamic magnetic resonance imaging
Cristian Toraci, Gabriele Zaccaria, Stefano Ceriani +3
We describe an acquisition/processing procedure for image reconstruction in dynamic Magnetic Resonance Imaging (MRI). The approach requires sliding window to record a set of trajec…
Compartmental analysis of renal physiology using nuclear medicine data and statistical optimization
Sara Garbarino, Giacomo Caviglia, Massimo Brignone +3
This paper describes a general approach to the compartmental modeling of nuclear data based on spectral analysis and statistical optimization. We utilize the renal physiology as te…