710 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Italian Institute of TechnologyIT5 papers
- University of SouthamptonGB4 papers
- Karlsruhe Institute of TechnologyDE3 papers
- Barcelona Supercomputing CenterES2 papers
- Biologie Moléculaire Structurale et Processus InfectieuxFR2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Institució Catalana de Recerca i Estudis AvançatsES2 papers
- Institut PasteurFR2 papers
- Johns Hopkins UniversityUS2 papers
- Northeastern UniversityUS2 papers
- Pacific Northwest National LaboratoryUS2 papers
- Universitat Politècnica de CatalunyaES2 papers
19 papers
Energy-Efficient Federated Learning via Adaptive Encoder Freezing for MRI-to-CT Conversion: A Green AI-Guided Research
Ciro Benito Raggio, Lucia Migliorelli, Nils Skupien +6
Federated Learning (FL) holds the potential to advance equality in health by enabling diverse institutions to collaboratively train deep learning (DL) models, even with limited dat…
A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck
Ciro Benito Raggio, Paolo Zaffino, Maria Francesca Spadea
Shortened Abstract Cone-beam computed tomography (CBCT) has become a widely adopted modality for image-guided radiotherapy (IGRT). However, CBCT suffers from increased noise, limit…
FedSynthCT-Brain: A Federated Learning Framework for Multi-Institutional Brain MRI-to-CT Synthesis
Ciro Benito Raggio, Mathias Krohmer Zabaleta, Nils Skupien +6
The generation of Synthetic Computed Tomography (sCT) images has become a pivotal methodology in modern clinical practice, particularly in the context of Radiotherapy (RT) treatmen…
The need to implement FAIR principles in biomolecular simulations
Rommie Amaro, Johan Åqvist, Ivet Bahar +125
This letter illustrates the opinion of the molecular dynamics (MD) community on the need to adopt a new FAIR paradigm for the use of molecular simulations. It highlights the necess…
Current and future directions in network biology
Marinka Zitnik, Michelle M. Li, Aydin Wells +34
Network biology is an interdisciplinary field bridging computational and biological sciences that has proved pivotal in advancing the understanding of cellular functions and diseas…
F-PSMA-1007 salivary gland dosimetry: Comparison between different methods for dose calculation and assessment of inter- and intra-patient variability
Daniele Pistone, Silvano Gnesin, Lucrezia Auditore +4
Dosimetry of salivary glands (SGs) is usually implemented using simplified calculation approaches and approximated geometries. Our aims were to compare different dosimetry methods…
Analyzing Host-Viral Interactome of SARS-CoV-2 for Identifying Vulnerable Host Proteins during COVID-19 Pathogenesis
Jayanta Kumar Das, Swarup Roy, Pietro Hiram Guzzi
The development of therapeutic targets for COVID-19 treatment is based on the understanding of the molecular mechanism of pathogenesis. The identification of genes and proteins inv…
Multi-replica biased sampling for photoswitchable pi-conjugated polymers
Mariagrazia Fortino, Concetta Cozza, Massimiliano Bonomi +1
In recent years, pi-conjugated polymers are attracting considerable interest in view of their light-dependent torsional reorganization around the pi-conjugated backbone, which dete…
Deep learning-based synthetic-CT generation in radiotherapy and PET: a review
Maria Francesca Spadea, Matteo Maspero, Paolo Zaffino +1
Recently, deep learning (DL)-based methods for the generation of synthetic computed tomography (sCT) have received significant research attention as an alternative to classical one…
Extracting quantitative biological information from brightfield cell images using deep learning
Saga Helgadottir, Benjamin Midtvedt, Jesús Pineda +5
Quantitative analysis of cell structures is essential for biomedical and pharmaceutical research. The standard imaging approach relies on fluorescence microscopy, where cell struct…
Extracting Dense and Connected Subgraphs in Dual Networks by Network Alignment
Pietro Hiram Guzzi, Emanuel Salerno, Giuseppe Tradigo +1
The use of network based approaches to model and analyse large datasets is currently a growing research field. For instance in biology and medicine, networks are used to model inte…
Shortcut to adiabaticity in full-wave optics for ultra-compact waveguide junctions
Giuseppe Della Valle, Gerardo Perozziello, Stefano Longhi
We extend the concept of shortcut to adiabaticity to full-wave optics and provide application to the design of an ultra-compact waveguide junction. In particular, we introduce a pr…
Optimal Control of Uncertain Nonlinear Quadratic Systems with Constrained Inputs
Merola Alessio, Cosentino Carlo, Colacino Domenico +1
This paper addresses the problem of robust and optimal control for the class of nonlinear quadratic systems subject to norm-bounded parametric uncertainties and disturbances, and i…
Thresholding of Semantic Similarity Networks using a Spectral Graph Based Technique
Pietro Hiram Guzzi, Simone Truglia, Pierangelo Veltri +1
Semantic similarity measures (SSMs) refer to a set of algorithms used to quantify the similarity of two or more terms belonging to the same ontology. Ontology terms may be associat…
Nonlinear graphene metamaterial
Andrey E. Nikolaenko, Nikitas Papasimakis, Evangelos Atmatzakis +6
We demonstrate that the broadband nonlinear optical response of graphene can be resonantly enhanced by more than an order of magnitude through hybridization with a plasmonic metama…
Phase-change chalcogenide glass metamaterial
Z. L. Samson, K. F. MacDonald, F. De Angelis +5
Combining metamaterials with functional media brings a new dimension to their performance. Here we demonstrate substantial resonance frequency tuning in a photonic metamaterial hyb…
Giant nonlinearity of carbon nanotubes in a photonic metamaterial
Andrey E. Nikolaenko, Francesco De Angelis, Stuart A. Boden +4
Metamaterials, artificial media structured on the subwavelength scale offer a rich paradigm for developing unique photonic functionalities ranging from negative index of refraction…
A bacterial ratchet motor
R. Di Leonardo, L. Angelani, G. Ruocco +6
Self-propelling bacteria are a dream of nano-technology. These unicellular organisms are not just capable of living and reproducing, but they can swim very efficiently, sense the e…
Electronic and center of mass transitions driven by Laguerre-Gaussian beams
A. Alexandrescu, E. di Fabrizio, D. Cojoc
We derive the interaction Hamiltonian of a Laguerre-Gaussian beam with a simple atomic system, under the assumption of a small spread of the center of mass wave function in compari…