Workshop program

• 08:00 – Welcome

• 08:10 – AIPAD Presentations (10 min + 5 Q&A)

  • L. Rist, C. Homm, F. Lades, A. Ayala Hernandez, M. Sühling, E. G. S. Brandt, A. Maier, and O. Taubmann. “Pancreatic Vessel Landmark Detection in CT Angiography using Prior Anatomical Knowledge”

  • E. Rapisarda, A. G. , S. Calcagno, D. Giordano. “Artificial Intelligence in Pancreatic Disease Detection and Diagnosis”

  • W. Bakasa, C. Kwenda, S. Viriri. “Hybrid DeepLearning Model for Pancreatic Cancer Image Segmentation”

  • C. Delle Castelle, F. Spampinato, F. Proietto Salanitri, G. Bellitto, C. Spampinato. “Leveraging SAM and Learnable Prompts for Pancreatic MRI Segmentation”

  • L. Peng, Z. Zhang, G. Durak, F. H. Miller, A. Medetalibeyoglu, M. B. Wallace, U. Bagci. “Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation”

• 09:30 – AIPAD Keynote - Ulas Bagci (Northwestern University)

• 10:00 – Coffee break

• 10:30 – PILM Keynote - Camila Gonzalez (Stanford University)

• 11:10 – AIPAD Keynote - Zongwei Zhou (Johns Hopkins University)

• 11:40 – PILM Presentations (10 min + 5 Q&A)

  • S. Gupta, K. Chang, L. Qu, A. Rana et al. “Addressing catastrophic forgetting by modulating global batch normalization statistics for medical domain expansion”

  • N. Lemke, C. Gonzalez, A. Mukhopadhyay, M. Mundt. “Distribution-Aware Replay for Continual MRI Segmentation”

  • F. Rizza, G. Bellitto, S. Calcagno, S. Palazzo. “Exploring Wearable Emotion Recognition with Transformer-Based Continual Learning”

• 12:25 – Closing remarks