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ORCID22nd ICIAP 2023: Udine, Italy - Workshops - Part II
- Gian Luca Foresti
, Andrea Fusiello, Edwin R. Hancock:
Image Analysis and Processing - ICIAP 2023 Workshops - Udine, Italy, September 11-15, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14366, Springer 2024, ISBN 978-3-031-51025-0
Artificial Intelligence and Radiomics in Computer-Aided Diagnosis (AIRCAD)
- Lorenzo Putzu, Andrea Loddo:
Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario. 3-14 - Giulia Baroni, Laura Rasotto, Kevin Roitero, Ameer Hamza Siraj, Vincenzo Della Mea:
Vision Transformers for Breast Cancer Histology Image Classification. 15-26 - Tibor Sloboda, Lukas Hudec, Wanda Benesova:
Editable Stain Transformation of Histological Images Using Unpaired GANs. 27-38 - Giovanni Pasini:
Assessing the Robustness and Reproducibility of CT Radiomics Features in Non-small-cell Lung Carcinoma. 39-48 - Alessandro Stefano, Cristina Mantarro, Selene Richiusa, Giovanni Pasini, Maria Gabriella Sabini, Sebastiano Cosentino, Massimo Ippolito:
Prediction of High Pathological Grade in Prostate Cancer Patients Undergoing [18F]-PSMA PET/CT: A Preliminary Radiomics Study. 49-58 - Luca Zedda, Andrea Loddo, Cecilia Di Ruberto:
MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection. 59-70 - Ruth Kehali Kassahun, Mario Molinara, Alessandro Bria, Claudio Marrocco, Francesco Tortorella:
Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights. 71-82 - Muhammad Ali, Viviana Benfante, Giuseppe Cutaia, Leonardo Salvaggio, Sara Rubino, Marzia Portoghese, Marcella Ferraro, Rosario Corso, Giovanni Piraino, Tommaso Ingrassia, Gabriele Tulone, Nicola Pavan, Domenico Di Raimondo, Antonino Tuttolomondo, Alchiede Simonato, Giuseppe Salvaggio:
Prostate Cancer Detection: Performance of Radiomics Analysis in Multiparametric MRI. 83-92 - Viviana Benfante, Giuseppe Salvaggio, Muhammad Ali, Giuseppe Cutaia, Leonardo Salvaggio, Sergio Salerno, Gabriele Busè, Gabriele Tulone, Nicola Pavan, Domenico Di Raimondo, Antonino Tuttolomondo, Alchiede Simonato, Albert Comelli:
Grading and Staging of Bladder Tumors Using Radiomics Analysis in Magnetic Resonance Imaging. 93-103 - Gennaro Percannella, Umberto Petruzzello, Francesco Tortorella, Mario Vento:
Combined Data Augmentation for HEp-2 Cells Image Classification. 104-115
Multi-modal Medical Imaging Processing (M3IP)
- Marco Postiglione, Giovanni Esposito, Raffaele Izzo, Valerio La Gatta, Vincenzo Moscato, Raffaele Piccolo:
Harnessing Multi-modality and Expert Knowledge for Adverse Events Prediction in Clinical Notes. 119-130 - Adriano De Simone, Carlo Sansone:
A Multimodal Deep Learning Based Approach for Alzheimer's Disease Diagnosis. 131-139 - Salvatore Capuozzo, Carlo Sansone:
A Systematic Review of Multimodal Deep Learning Approaches for COVID-19 Diagnosis. 140-151 - Oktay Agcaoglu, Rogers F. Silva, Deniz Alaçam, Vince D. Calhoun:
A Multi-dimensional Joint ICA Model with Gaussian Copula. 152-163
Federated Learning in Medical Imaging and Vision (FEDMED)
- Hussain Ahmad Madni, Rao Muhammad Umer, Gian Luca Foresti:
Federated Learning for Data and Model Heterogeneity in Medical Imaging. 167-178 - Morteza Moradi, Mohammad Moradi, Dario Calogero Guastella:
Experience Sharing and Human-in-the-Loop Optimization for Federated Robot Navigation Recommendation. 179-188 - Raffaele Mineo, Amelia Sorrenti, Federica Proietto Salanitri:
FeDETR: A Federated Approach for Stenosis Detection in Coronary Angiography. 189-200 - Luca Palazzo, Matteo Pennisi, Giovanni Bellitto, Isaak Kavasidis:
FeDZIO: Decentralized Federated Knowledge Distillation on Edge Devices. 201-210 - Mariachiara Di Cosmo, Giovanna Migliorelli, Matteo Francioni, Andi Mucaj, Alessandro Maolo, Alessandro Aprile, Emanuele Frontoni, Maria Chiara Fiorentino, Sara Moccia:
A Federated Learning Framework for Stenosis Detection. 211-222 - Samuele Fonio:
Benchmarking Federated Learning Frameworks for Medical Imaging Tasks. 223-232
Artificial Intelligence for Digital Humanities (AI4DH)
- Amit Neil Ramkissoon, Kris Manohar, Wayne Goodridge:
Examining the Robustness of an Ensemble Learning Model for Credibility Based Fake News Detection. 235-246 - Hassan El-Hajj, Matteo Valleriani:
Prompt Me a Dataset: An Investigation of Text-Image Prompting for Historical Image Dataset Creation Using Foundation Models. 247-257 - Giuseppe Mazzola, Marco Carapezza, Antonio Chella, Diego Mantoan:
Artificial Intelligence in Art Generation: An Open Issue. 258-269 - Tess Masclef, Mihaela Scuturici, Benjamin Bertin, Vincent Barrellon, Vasile-Marian Scuturici, Serge Miguet:
A Deep Learning Approach for Painting Retrieval Based on Genre Similarity. 270-281 - Ermanno Petrocchi, Simona Tiribelli, Marina Paolanti, Benedetta Giovanola, Emanuele Frontoni, Roberto Pierdicca:
GeomEthics: Ethical Considerations About Using Artificial Intelligence in Geomatics. 282-293
Fine Art Pattern Extraction and Recognition (FAPER)
- Alessandro Russo, Matteo Spanio, Sergio Canazza:
Enhancing Preservation and Restoration of Open Reel Audio Tapes Through Computer Vision. 297-308 - Giovanna Castellano, Nicola Fanelli, Raffaele Scaringi, Gennaro Vessio:
Exploring the Synergy Between Vision-Language Pretraining and ChatGPT for Artwork Captioning: A Preliminary Study. 309-321 - Fabio Bellavia, Luca Morelli, Carlo Colombo, Fabio Remondino:
Progressive Keypoint Localization and Refinement in Image Matching. 322-334 - Michael Castronuovo, Alessandro Fiordelmondo, Cosetta Saba:
Toward a System of Visual Classification, Analysis and Recognition of Performance-Based Moving Images in the Artistic Field. 335-346 - Enrico Maria Aldorasi, Remo Pareschi, Francesco Salzano:
CreatiChain: From Creation to Market. 347-358 - Johannes Schuiki, Miriam Landkammer, Michael Linortner, Isabella Nicka, Andreas Uhl:
Towards Using Natural Images of Wood to Retrieve Painterly Depictions of the Wood of Christ's Cross. 359-371
Pattern Recognition for Cultural Heritage (PatReCH)
- Giovanni Gallo, Yaser Gholizade Atani, Roberto Leotta, Filippo Stanco, Francesca Buscemi, Marianna Figuera:
Feature Relevance in Classification of 3D Stone from Ancient Wall Structures. 375-386 - Mario Casillo, Francesco Colace, Francesco Marongiu, Domenico Santaniello, Carmine Valentino:
Gamification in Cultural Heritage: When History Becomes SmART. 387-397 - Veli Mustafa Yönder, Emre Ipek, Tarik Çetin, Hasan Burak Çavka, Mehmet Serkan Apaydin, Fehmi Dogan:
Classification of Turkish and Balkan House Architectures Using Transfer Learning and Deep Learning. 398-408 - Fabio Clarizia, Massimo De Santo, Rosario Gaeta, Rosalba Mosca:
Method for Ontology Learning from an RDB: Application to the Domain of Cultural Heritage. 409-421 - Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Isabelle Marthot-Santaniello, Mario Molinara, Alessandra Scotto di Freca:
A Novel Writer Identification Approach for Greek Papyri Images. 422-436 - Giuseppe Furnari, Anna Maria Gueli, Filippo Stanco, Dario Allegra:
Convolutional Generative Model for Pixel-Wise Colour Specification for Cultural Heritage. 437-448 - Germana Barone, Raissa Garozzo, Gloria Russo, Cettina Santagati, Diego Sinitò, Marilisa Yolanda Spironello, Filippo Stanco:
3D Modeling and Augmented Reality in Education: An Effective Application for the Museo dei Saperi e delle Mirabilia of the University of Catania. 449-461
Visual Processing of Digital Manuscripts: Workflows, Pipelines, Best Practices (ViDiScript)
- Alessio Fagioli, Danilo Avola, Luigi Cinque, Emanuela Colombi, Gian Luca Foresti:
Writer Identification in Historical Handwritten Documents: A Latin Dataset and a Benchmark. 465-476 - Chahan Vidal-Gorène, Jean-Baptiste Camps, Thibault Clérice:
Synthetic Lines from Historical Manuscripts: An Experiment Using GAN and Style Transfer. 477-488 - Axel De Nardin, Silvia Zottin, Emanuela Colombi, Claudio Piciarelli, Gian Luca Foresti:
Is ImageNet Always the Best Option? An Overview on Transfer Learning Strategies for Document Layout Analysis. 489-499
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