A review of semantic segmentation using deep neural networks

• Accelerated quantification of reinforcement degradation in additively manufactured Ni-WC metal matrix composites via SEM and vision transformers

  2025 Materials Characterization article Computer Science Advanced Neural Network Applications Open access

  1

  citations
• Accelerated semantic segmentation of additively manufactured metal matrix composites: Generating datasets, evaluating convolutional and transformer models, and developing the MicroSegQ+ Tool

  2024 Expert Systems with Applications article Computer Science Advanced Neural Network Applications

  13

  citations
• A tomographic workflow to enable deep learning for X-ray based foreign object detection

  2022 Expert Systems with Applications article Engineering Industrial Vision Systems and Defect Detection Open access cited by 1 patent

  6

  citations
• Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks

  2021 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

  1

  citations
• PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data

  2021 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

  0

  citations
• Norm Loss: An efficient yet effective regularization method for deep neural networks

  2021 Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition conference-paper Computer Science Advanced Neural Network Applications

  3

  citations
• Comparison of deep learning and hand crafted features for mining simulation data

  2021 Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition conference-paper Physics and Astronomy Model Reduction and Neural Networks

  1

  citations

7 results