Publicaciones en colaboración con investigadores/as de Queensland University of Technology (15)

2024

  1. Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion

    Artificial Intelligence in Medicine, Vol. 155

  2. MEFF – A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging

    Intelligent Systems with Applications, Vol. 22

  3. SSP: self-supervised pertaining technique for classification of shoulder implants in x-ray medical images: a broad experimental study

    Artificial Intelligence Review, Vol. 57, Núm. 9

  4. Unmasking large language models by means of OpenAI GPT-4 and Google AI: A deep instruction-based analysis

    Intelligent Systems with Applications, Vol. 23

2023

  1. A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications

    Journal of Big Data, Vol. 10, Núm. 1

  2. Review on Deep Learning Approaches for Anomaly Event Detection in Video Surveillance

    Electronics (Switzerland), Vol. 12, Núm. 1

  3. Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements

    International Journal of Intelligent Systems, Vol. 2023

2022

  1. A Concise Review on Deep Learning for Musculoskeletal X-ray Images

    2022 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2022

  2. Face Recognition Based on Deep Learning and FPGA for Ethnicity Identification

    Applied Sciences (Switzerland), Vol. 12, Núm. 5

  3. Robust application of new deep learning tools: an experimental study in medical imaging

    Multimedia Tools and Applications, Vol. 81, Núm. 10, pp. 13289-13317

2021

  1. Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study

    PeerJ Computer Science, Vol. 7, pp. 1-27

  2. Iot and cloud computing in health-care: A new wearable device and cloud-based deep learning algorithm for monitoring of diabetes

    Electronics (Switzerland), Vol. 10, Núm. 21

  3. Novel transfer learning approach for medical imaging with limited labeled data

    Cancers, Vol. 13, Núm. 7

  4. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

    Journal of Big Data, Vol. 8, Núm. 1

2020

  1. Towards a better understanding of transfer learning for medical imaging: A case study

    Applied Sciences (Switzerland), Vol. 10, Núm. 13