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Image Analysis and Processing - ICIAP 2023 Workshops

Udine, Italy, September 11–15, 2023, Proceedings, Part II

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Gian Luca Foresti

    1. University of Udine, Udine, Italy

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    You can also search for this editor in PubMed   Google Scholar

  2. Andrea Fusiello

    1. University of Udine, Udine, Italy

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    You can also search for this editor in PubMed   Google Scholar

  3. Edwin Hancock

    1. University of York, York, UK

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14366)

Included in the following conference series:

Conference proceedings info: ICIAP 2023.

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Table of contents (42 papers)

  1. Front Matter

    Pages i-xxiii
    Download chapter PDF

  2. Artificial Intelligence and Radiomics in Computer-Aided Diagnosis (AIRCAD)

    1. Front Matter

      Pages 1-1
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    2. Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario

      • Lorenzo Putzu, Andrea Loddo
      Pages 3-14

    3. Vision Transformers for Breast Cancer Histology Image Classification

      • Giulia L. Baroni, Laura Rasotto, Kevin Roitero, Ameer Hamza Siraj, Vincenzo Della Mea
      Pages 15-26

    4. Editable Stain Transformation of Histological Images Using Unpaired GANs

      • Tibor Sloboda, Lukáš Hudec, Wanda Benešová
      Pages 27-38

    5. Assessing the Robustness and Reproducibility of CT Radiomics Features in Non-small-cell Lung Carcinoma

      • Giovanni Pasini
      Pages 39-48

    6. Prediction of High Pathological Grade in Prostate Cancer Patients Undergoing [18F]-PSMA PET/CT: A Preliminary Radiomics Study

      • Alessandro Stefano, Cristina Mantarro, Selene Richiusa, Giovanni Pasini, Maria Gabriella Sabini, Sebastiano Cosentino et al.
      Pages 49-58

    7. MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection

      • Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
      Pages 59-70

    8. Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights

      • Ruth Kehali Kassahun, Mario Molinara, Alessandro Bria, Claudio Marrocco, Francesco Tortorella
      Pages 71-82

    9. Prostate Cancer Detection: Performance of Radiomics Analysis in Multiparametric MRI

      • Muhammad Ali, Viviana Benfante, Giuseppe Cutaia, Leonardo Salvaggio, Sara Rubino, Marzia Portoghese et al.
      Pages 83-92

    10. Grading and Staging of Bladder Tumors Using Radiomics Analysis in Magnetic Resonance Imaging

      • Viviana Benfante, Giuseppe Salvaggio, Muhammad Ali, Giuseppe Cutaia, Leonardo Salvaggio, Sergio Salerno et al.
      Pages 93-103

    11. Combined Data Augmentation for HEp-2 Cells Image Classification

      • Gennaro Percannella, Umberto Petruzzello, Francesco Tortorella, Mario Vento
      Pages 104-115

  3. Multi-modal Medical Imaging Processing (M3IP)

    1. Front Matter

      Pages 117-117
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    2. Harnessing Multi-modality and Expert Knowledge for Adverse Events Prediction in Clinical Notes

      • Marco Postiglione, Giovanni Esposito, Raffaele Izzo, Valerio La Gatta, Vincenzo Moscato, Raffaele Piccolo
      Pages 119-130

    3. A Multimodal Deep Learning Based Approach for Alzheimer’s Disease Diagnosis

      • Adriano De Simone, Carlo Sansone
      Pages 131-139

    4. A Systematic Review of Multimodal Deep Learning Approaches for COVID-19 Diagnosis

      • Salvatore Capuozzo, Carlo Sansone
      Pages 140-151

    5. A Multi-dimensional Joint ICA Model with Gaussian Copula

      • Oktay Agcaoglu, Rogers F. Silva, Deniz Alacam, Vince Calhoun
      Pages 152-163

  4. Federated Learning in Medical Imaging and Vision (FEDMED)

    1. Front Matter

      Pages 165-165
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    2. Federated Learning for Data and Model Heterogeneity in Medical Imaging

      • Hussain Ahmad Madni, Rao Muhammad Umer, Gian Luca Foresti
      Pages 167-178

    3. Experience Sharing and Human-in-the-Loop Optimization for Federated Robot Navigation Recommendation

      • Morteza Moradi, Mohammad Moradi, Dario Calogero Guastella
      Pages 179-188
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Other volumes

  1. Image Analysis and Processing – ICIAP 2023

  2. Image Analysis and Processing – ICIAP 2023

  3. Image Analysis and Processing - ICIAP 2023 Workshops

  4. Image Analysis and Processing - ICIAP 2023 Workshops

Keywords

About this book

The two-volume set LNCS 14365 and 14366 constitutes the papers of workshops hosted by the 22nd International Conference on Image Analysis and Processing, ICIAP 2023, held in Udine, Italy, in September 2023.

In total, 72 workshop papers and 10 industrial poster session papers have been accepted for publication. 



Part II of the set, volume 14366, contains 41 papers from the following workshops:
– Medical Imaging Hub:
• Artificial Intelligence and Radiomics in Computer-Aided Diagnosis (AIR-
CAD)
• Multi-Modal Medical Imaging Processing (M3IP)
• Federated Learning in Medical Imaging and Vision (FedMed)
– Digital Humanities Hub:
• Artificial Intelligence for Digital Humanities (AI4DH)
• Fine Art Pattern Extraction and Recognition (FAPER)
• Pattern Recognition for Cultural Heritage (PatReCH)
• Visual Processing of Digital Manuscripts: Workflows, Pipelines, Best
Practices (ViDiScript)



Editors and Affiliations

  • University of Udine, Udine, Italy

    Gian Luca Foresti, Andrea Fusiello

  • University of York, York, UK

    Edwin Hancock

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