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ORCIDAIPAD/PILM@MICCAI 2024: Marrakesh, Morocco
- Federica Proietto Salanitri
, Serestina Viriri, Ulas Bagci, Pallavi Tiwari, Boqing Gong, Concetto Spampinato, Simone Palazzo, Giovanni Bellitto, Nancy Zlatintsi, Panagiotis Paraskevas Filntisis, Cecilia S. Lee, Aaron Y. Lee:
Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine - First International Workshop, AIPAD 2024 and First International Workshop, PILM 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15197, Springer 2025, ISBN 978-3-031-73482-3
Artificial Intelligence in Pancreatic Disease Detection and Diagnosis
- Emanuele Rapisarda, Alessandro Giuseppe Gravagno, Salvatore Calcagno, Daniela Giordano:
Assessing the Efficacy of Foundation Models in Pancreas Segmentation. 3-13 - Wilson Bakasa, Clopas Kwenda, Serestina Viriri:
Hybrid Deep Learning Model for Pancreatic Cancer Image Segmentation. 14-24 - Cristian Delle Castelle, Fabio Spampinato, Federica Proietto Salanitri, Giovanni Bellitto, Concetto Spampinato:
Leveraging SAM and Learnable Prompts for Pancreatic MRI Segmentation. 25-34 - Linkai Peng, Zheyuan Zhang, Gorkem Durak, Frank H. Miller, Alpay Medetalibeyoglu, Michael B. Wallace, Ulas Bagci:
Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation. 35-44 - Leonhard Rist, Christopher Homm, Félix Lades, Abraham Ayala Hernandez, Michael Sühling, Erik Gudman Steuble Brandt, Andreas K. Maier, Oliver Taubmann:
Pancreatic Vessel Landmark Detection in CT Angiography Using Prior Anatomical Knowledge. 45-54
Personalized Incremental Learning in Medicine
- Sharut Gupta, Ken Chang, Liangqiong Qu, Aakanksha Rana, Syed Rakin Ahmed, Mehak Aggarwal, Nishanth Thumbavanam Arun, Ashwin Vaswani, Shruti Raghavan, Vibha Agarwal, Mishka Gidwani, Katharina Hoebel, Jay B. Patel, Charles Lu, Christopher P. Bridge, Daniel L. Rubin, Jayashree Kalpathy-Cramer, Praveer Singh:
Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion. 57-72 - Nick Lemke, Camila González, Anirban Mukhopadhyay, Martin Mundt:
Distribution-Aware Replay for Continual MRI Segmentation. 73-85 - Federica Rizza, Giovanni Bellitto, Salvatore Calcagno, Simone Palazzo:
Exploring Wearable Emotion Recognition with Transformer-Based Continual Learning. 86-101
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