Publikationen in Zusammenarbeit mit Forschern von University of Louisville (38)

2021

  1. Breast lesions detection and classification via YOLO-based fusion models

    Computers, Materials and Continua, Vol. 69, Núm. 1, pp. 1407-1425

  2. Connected-UNets: a deep learning architecture for breast mass segmentation

    npj Breast Cancer, Vol. 7, Núm. 1

  3. Diabetes Type 2: Poincaré data preprocessing for quantum machine learning

    Computers, Materials and Continua, Vol. 67, Núm. 2, pp. 1849-1861

  4. Exploiting deep learning techniques for colon polyp segmentation

    Computers, Materials and Continua, Vol. 67, Núm. 2, pp. 1629-1644

2019

  1. Annotation Technique for Health-Related Tweets Sentiment Analysis

    2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018

  2. Colon Polyp Segmentation Using Texture Analysis

    2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018

  3. Detection of volatile compounds emitted by bacteria in wounds using gas sensors

    Sensors (Switzerland), Vol. 19, Núm. 7

  4. Morphological Analysis of Pressure Injury Images

    2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018

  5. Scalable Healthcare Assessment for Diabetic Patients Using Deep Learning on Multiple GPUS

    IEEE Transactions on Industrial Informatics, Vol. 15, Núm. 10, pp. 5682-5689

2018

  1. An Automated Classification Framework for Pressure Ulcer Tissues Based on 3D Convolutional Neural Network

    Proceedings - International Conference on Pattern Recognition

  2. An Automated Classification Framework for Pressure Ulcer Tissues Based on 3D Convolutional Neural Network

    2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)

  3. Annotation Technique for Health-Related Tweets Sentiment Analysis

    2018 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT)

  4. Automatized colon polyp segmentation via contour region analysis

    Computers in Biology and Medicine, Vol. 100, pp. 152-164