TY  - BOOK
AU  - Salanitri,Federica Proietto
AU  - Viriri,Serestina
AU  - Bağcı,Ulaş
AU  - Tiwari,Pallavi
AU  - Gong,Boqing
AU  - Spampinato,Concetto
AU  - Palazzo,Simone
AU  - Bellitto,Giovanni
AU  - Zlatintsi,Nancy
AU  - Filntisis,Panagiotis
AU  - Lee,Cecilia S.
AU  - Lee,Aaron Y.
ED  - AIPAD (Workshop)
ED  - PILM (Workshop)
ED  - International Conference on Medical Image Computing and Computer-Assisted Intervention
TI  - 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 
T2  - Lecture notes in computer science,
SN  - 9783031734830
AV  - RC857.5 
U1  - 616.3/70754 23/eng/20241008
PY  - 2025///]
CY  - Cham
PB  - Springer
KW  - Pancreas
KW  - Diseases
KW  - Diagnosis
KW  - Congresses
KW  - Artificial intelligence
KW  - Medical applications
KW  - Diagnostic imaging
KW  - Machine learning
KW  - Imagerie pour le diagnostic
KW  - Congrès
KW  - Apprentissage automatique
KW  - Congress
KW  - proceedings (reports)
KW  - aat
KW  - Conference papers and proceedings
KW  - lcgft
KW  - Actes de congrès
KW  - rvmgf
N1  - International conference proceedings; Includes author index; Artificial Intelligence in Pancreatic Disease Detection and Diagnosis -- Assessing the Efficacy of Foundation Models in Pancreas Segmentation -- Hybrid Deep Learning Model for Pancreatic Cancer Image Segmentation -- Leveraging SAM and Learnable Prompts for Pancreatic MRI Segmentation -- Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation -- Pancreatic Vessel Landmark Detection in CT Angiography using Prior Anatomical Knowledge -- Personalized Incremental Learning in Medicine.-Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion -- Distribution-Aware Replay for Continual MRI Segmentation -- Exploring Wearable Emotion Recognition with Transformer-Based Continual Learning
N2  - This volume constitutes the refereed proceedings of the First International Workshop on Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, AIPAD 2024 and the First International Workshop on Personalized Incremental Learning in Medicine, PILM 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, in October 2024. The 8 full papers included in these proceedings were carefully reviewed and selected from 9 submissions. They were organized in topical sections as follows: artificial intelligence in pancreatic disease detection and diagnosis; and personalized incremental learning in medicine
UR  - https://link.springer.com/10.1007/978-3-031-73483-0
ER  -