All Stories

  1. Machine learning applications in Huntington's disease prognosis: A review

    Article • Journal of Huntington s Disease, July 2026, SAGE Publications

    Marta Vallejo

  2. Dynamic Graph Representation Learning for Data-Driven Huntington’s Disease Staging: Evaluation Against Existing Embedding Methods and State-Space Models

    Article • June 2026, openRxiv

    Marta Vallejo

  3. Good practices of artificial intelligence in biosystems engineering research

    Article • Biosystems Engineering, March 2026, Elsevier

    Marta Vallejo

  4. Exploring Machine Learning Models to Uncover Pathways in ALS Pathogenesis Using Immunohistochemical Features

    Article • December 2025, openRxiv

    Marta Vallejo

  5. Unsupervised Machine Learning Using Cerebrospinal Fluid Proteomics for Understanding Parkinson’s Disease Progression

    Article • Proceedings of the AAAI Symposium Series, August 2025, Association for the Advancement of Artificial Intelligence (AAAI)

    Marta Vallejo

  6. Exploring the Boundaries of Resource-Constrained AIoT: Tiny Machine Learning for Condition Monitoring using 8-bit and 32-bit Microcontrollers

    Article • June 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Marta Vallejo

  7. Deep Learning Analysis of Figure Copying Tasks for Parkinson’s Disease Detection with GAN-Based Data Augmentation

    Article • April 2025, Cold Spring Harbor Laboratory Press

    Marta Vallejo, Jane Alty

  8. Improving ALS detection and cognitive impairment stratification with attention-enhanced deep learning models

    Article • Scientific Reports, February 2025, Springer Science + Business Media

    Marta Vallejo

  9. Improving ALS Detection and Cognitive Impairment Stratification with Attention-Enhanced Deep Learning Models

    Article • September 2024, Cold Spring Harbor Laboratory Press

    Marta Vallejo

  10. Deep learning-based virtual H& E staining from label-free autofluorescence lifetime images

    Article • npj Imaging, June 2024, Springer Science + Business Media

    Marta Vallejo

  11. Miniaturised and Flexible Patch for Continuous Tremor Monitoring U sing Machine Learning

    Article • June 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Marta Vallejo

  12. Impact of Loss Functions on Label-free Virtual H&E Staining

    Article • May 2024, ACM (Association for Computing Machinery)

    Marta Vallejo, Prof James R Hopgood

  13. Audio-Aided Learning Framework for Image Classification with Limited Training Images

    Article • April 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Marta Vallejo

  14. Statistical analysis for the development of a Deep Learning model for the classification of images with TDP-43 pathology

    Article • February 2024, Cold Spring Harbor Laboratory Press

    Marta Vallejo

  15. Applications of machine learning in time-domain fluorescence lifetime imaging: a review

    Article • Methods and Applications in Fluorescence, February 2024, Institute of Physics Publishing

    Marta Vallejo, Prof James R Hopgood

  16. Quantification of Matching Results for Autofluorescence Intensity Images and Histology Images

    Article • January 2024, Scitepress

    Marta Vallejo

  17. Deep learning-assisted co-registration of full-spectral autofluorescence lifetime microscopic images with H&E-stained histology images

    Article • Communications Biology, October 2022, Springer Science + Business Media

    Marta Vallejo, Prof James R Hopgood

  18. A layer-level multi-scale architecture for lung cancer classification with fluorescence lifetime imaging endomicroscopy

    Article • Neural Computing and Applications, June 2022, Springer Science + Business Media

    Marta Vallejo

  19. Evaluation of Recurrent Neural Network Models for Parkinson's Disease Classification Using Drawing Data

    Article • November 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Marta Vallejo

  20. Multi-Scale Aggregated-Dilation Network for ex-vivo Lung Cancer Detection with Fluorescence Lifetime Imaging Endomicroscopy

    Article • November 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Marta Vallejo

  21. Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks

    Article • Neural Computing and Applications, September 2021, Springer Science + Business Media

    Marta Vallejo, Jane Alty

  22. Classification of SARS-CoV-2 and non-SARS-CoV-2 using machine learning algorithms

    Article • Computers in Biology and Medicine, September 2021, Elsevier

    Marta Vallejo

  23. Fluorescence lifetime imaging endomicroscopy based ex-vivo lung cancer prediction using multi-scale concatenated-dilation convolutional neural networks

    Article • February 2021, SPIE

    Marta Vallejo

  24. The True Online Continuous Learning Automation (TOCLA) in a continuous control benchmarking of actor-critic algorithms

    Article • December 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Marta Vallejo

  25. Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic Images

    Article • July 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Marta Vallejo

  26. Fluorescence Lifetime Endomicroscopic Image-based ex-vivo Human Lung Cancer Differentiation Using Machine Learning

    Article • January 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Marta Vallejo, Prof James R Hopgood

  27. SOPHIA: Soft Orthotic Physiotherapy Hand Interactive Aid

    Article • Frontiers in Mechanical Engineering, June 2017, Frontiers

    Marta Vallejo

  28. Robotic devices and brain-machine interfaces for hand rehabilitation post-stroke

    Article • Journal of Rehabilitation Medicine, January 2017, Acta Dermato-Venereologica

    Marta Vallejo

  29. Online/offline evolutionary algorithms for dynamic urban green space allocation problems

    Article • Journal of Experimental & Theoretical Artificial Intelligence, December 2016, Taylor & Francis

    Marta Vallejo

  30. Exploring diagnostic models of Parkinson's disease with multi-objective regression

    Article • December 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Jane Alty, Marta Vallejo

  31. Evolutionary algorithms under noise and uncertainty: A location-allocation case study

    Article • December 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Marta Vallejo

  32. Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation

    Article • October 2016, Springer Science + Business Media

    Marta Vallejo

  33. A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients

    Article • January 2016, ACM (Association for Computing Machinery)

    Jane Alty, Marta Vallejo

  34. Using Multiobjective Evolutionary Algorithms to Understand Parkinson's Disease

    Article • January 2016, ACM (Association for Computing Machinery)

    Jane Alty, Marta Vallejo

  35. Genetic algorithm evaluation of green search allocation policies in multilevel complex urban scenarios

    Article • Journal of Computational Science, July 2015, Elsevier

    Marta Vallejo

  36. Evolving Optimal Spatial Allocation Policies for Complex and Uncertain Environments

    Article • January 2014, Springer Science + Business Media

    Marta Vallejo

  37. Evolving Urbanisation Policies - Using a Statistical Model to Accelerate Optimisation over Agent-based Simulations

    Article • January 2013, Scitepress

    Marta Vallejo

  38. A fast approximative approach for the Vehicle Routing Problem

    Article • September 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Marta Vallejo