4 citations · 6 across the 5 of their papers we have counts for
5 papers
Superpixel-Based QUBO for Scalable Quantum-Enhanced Medical Image Segmentation
Mohammad Chalhoub, Mahdi Chehimi, Laia Domingo +3
Quadratic unconstrained binary optimization (QUBO) has emerged as a powerful framework for medical computing problems. Binary decision variables naturally represent clinical choice…
Quantum-enhanced optimization for patient stratification in clinical trials
Laia Domingo, Christine Johnson
Clinical trials are notorious for their high failure rates and steep costs, leading to wasted time and resources spend, prolonged development timelines, and delayed patient access…
Quantum-enhanced unsupervised image segmentation for medical images analysis
Laia Domingo, Mahdi Chehimi
Breast cancer remains the leading cause of cancer-related mortality among women worldwide, necessitating the meticulous examination of mammograms by radiologists to characterize ab…
A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery
L. Domingo, M. Chehimi, S. Banerjee +7
The field of drug discovery hinges on the accurate prediction of binding affinity between prospective drug molecules and target proteins, especially when such proteins directly inf…
Hybrid quantum-classical convolutional neural networks to improve molecular protein binding affinity predictions
L. Domingo, M. Djukic, C. Johnson +1
One of the main challenges in drug discovery is to find molecules that bind specifically and strongly to their target protein while having minimal binding to other proteins. By pre…