71 citations · 103 across the 4 of their papers we have counts for
4 papers
Do emulated quantum circuits change what CNNs look at? Performance and explainability comparison in medical image classification
Guillermo Rubiños Rodríguez, Martín Ottavianelli, Mateo Alonso +4
Numerous studies have analyzed the use of hybrid quantum-classical convolutional neural networks as a promising alternative to classical deep learning. However, network components…
Multimodal Ordinal Modeling of Alzheimer's Disease Severity Using Structural MRI and Clinical Data
Boris-Stephan Rauchmann, Jonathan Laib, Buse Ercik +2
Neurodegenerative diseases such as Alzheimer's disease (AD) require accurate and scalable tools for assessing disease severity, yet current clinical staging remains time-intensive…
AutoQML: Automatic Generation and Training of Robust Quantum-Inspired Classifiers by Using Genetic Algorithms on Grayscale Images
Sergio Altares-López, Juan José García-Ripoll, Angela Ribeiro
We propose a new hybrid system for automatically generating and training quantum-inspired classifiers on grayscale images by using multiobjective genetic algorithms. We define a dy…
Automatic design of quantum feature maps
Sergio Altares-López, Angela Ribeiro, Juan José García-Ripoll
We propose a new technique for the automatic generation of optimal ad-hoc ansätze for classification by using quantum support vector machine (QSVM). This efficient method is based…