Program September 15

14:30-15:30 Oral session 1

14:30 - Introducing remarks

14:30 - 14:45 - Viviana Benfante; Muhammad Ali; Farhan Khan; Sebastiano Piana; Alessandro Sperandeo; Anthony Yezzi; Albert Comelli, Artificial Intelligence-Assisted Image Segmentation in Scratch Wound Healing Assays Using Threshold and Level Set Methods 

14:45 - 15:00 - Alessia Finti; Alessandro Stefano; Giovanni Pasini; Giorgio Russo; Franco Marinozzi; Fabiano Bini, Preliminary Radiomics-Based Classification of Tumor Nuclei in Melanoma Histopathology 

15:00 - 15:15 - Camillo Maria Caruso; Riccardo Bruni; Valerio Guarrasi, Mask‑Aware Transformers Enable Robust Learning from Incomplete Volumetric Medical Imaging 

15:15 - 15:30 - Rosario Corso; Haoyue C hen; Anthony Yezzi; Albert Comelli, Variational Radiomics for Active Surfaces 

15:30-16:00 Coffee Break/Poster Session

1. Nicolò Lauciello; Giovanni Pasini; Giorgio Russo; Franco Marinozzi; Fabiano Bini; Alessandro Stefano, Machine Learning in Mammography Classification: A Radiomics-Based Evaluation and Developments

2  Luca Cruciata; Muhammad Ali; Salvatore Contino; Viviana Benfante; Roberto Pirrone; Albert Comelli, Unsupervised MR to CT Synthesis: A Comparative Analysis of Explicit Structural Constrained Adversarial Learning and Adversarial Diffusion Models 

3. Paolo Buscemi; Gaspare Centineo ; Muhammad Ali; Viviana Benfante; Antonio Lo Casto; Albert Comelli, Paravertebral space muscles segmentation in patients with Oral Squamous Cell Carcinoma: A Preliminary Step for Radiomics Studies 

4. Viviana Benfante; Pierpaolo Purpura; Costanza Longo; Albert Comelli; Pierpaolo Alongi, Preliminary study exploring the potential of ML models applied to radiomic features extracted from PSMA-PET: prediction of the PRIMARY and E-PSMA scores in the evaluation of primary PCa lesions 

5. Gaspare Centineo; Leonardo Salvaggio; Syed Ibrar Hussain; Muhammad Ali; Kristen Meiburger; Filippo Molinari; Albert Comelli, Prostate MRI Segmentation: A Comparative Analysis of U-Net and E-Net Deep Learning Models 

16:00-16:45 Invited Speaker

Carsten Marr, Institute of AI for Health at Helmholtz, Munich

Recent advances in AI-based hematopathology in real-world scenario

16:45-18:00 Oral session 2

16:45 - 17:00 - Viviana Benfante;  Sara Belloli; Gaia Faustini; Arianna Bellucci; Rosa Maria Moresco; Albert Comelli, Radiomic analysis of MR and PET images of mice to identify possible microstructural changes associated with early molecular alterations during nigral neuron deafferentation

17:00 - 17:15 - Giovanni Pasini; Nicolò Lauciello;  Alessia Finti; Giorgio Russo; Franco Marinozzi; Fabiano Bini;  Alessandro Stefano, A Fully Automatic Patch-Based Deep Learning Pipeline for Mass and Microcalcification Detection in Mammography: a preliminary study 

17:15 - 17:30 - Lorenzo Putzu; Roberta Angioni; Andrea Loddo, A Template-Independent Method for Parkinson’s Diagnosis from Handwritten Patterns

17:30 - 17:45 - Haoyue Chen; Rosario Corso; Anthony Yezzi; Albert Comelli, A Generalized Gray Level Co-occurrence Matrix for Rotation-Invariant Texture Representation 

17:45 - 18:00 - Akhtar Rasool;  Muhammad Ali; Leonardo Salvaggio; Viviana Benfante; Albert Comelli, Automated Prostate Gland detection in MRI using YOLOv8: A Deep Learning Approach for Early Diagnosis

18:00  18:15 - Viviana Benfante; Liana Hatoum; Hannah Lee; Edward Botchwey; Manu Platt; Albert Comelli, Radiomic analysis of mouse magnetic resonance images and correlation of features extracted to vascular defects in sickle cell disease: preclinical applications

18:15 - Closing remarks