Program

09:00-10:30 Oral session 1

09:00 - Introducing remarks

09:00 - 09:15 - ID16 - Combined Data Augmentation for HEp-2 Cells Image Classification 

09:15 - 09:30 - ID02 - Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario 

09:30 - 09:45 - ID11 - Grading and Staging of Bladder Tumors using Radiomics Analysis in Magnetic Resonance Imaging 

09:45 - 10:00 - ID03 - Vision Transformers for Breast Cancer Histology Image Classification 

10:00 - 10:15 - ID10 - Prostate Cancer Detection: Performance of Radiomics Analysis in Multiparametric MRI

10:15 - 10:30 - ID04 - Editable Stain Transformation Of Histological Images Using Unpaired GANs

10:30-11:00 Coffee Break

11:00-11:30 Invited Speaker

Paolo Andreini, University of Siena, Italy

Strategies for Analyzing Bio-Medical Images with Limited Training Data 

11:30-12:30 Oral session 2

11:30 - 11:45 - ID09 - Breast Mass Detection and Classification using Transfer Learning on OPTIMAM Dataset through RadImageNet weights 

11:45 - 12:00 - ID05 - Assessing the robustness and reproducibility of CT Radiomics features in non-small-cell lung carcinoma 

12:00 - 12:15 - ID08 - MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection  

12:15 - 12:30 - ID06 - Prediction of high pathological grade in prostate cancer patients undergoing 18F-PSMA PET/CT: A preliminary Radiomics study 

12:30  Closing remarks