PMIL: Prompt enhanced Multimodal Integrative analysis of fMRI combining functional connectivity and temporal Latency
https://doi.org/10.1007/978-3-032-05162-2_52

PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT
https://doi.org/10.1007/978-3-032-04927-8_48

PolyMamba: Spatial-prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement
https://doi.org/10.1007/978-3-032-05141-7_44

PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis
https://doi.org/10.1007/978-3-032-05141-7_45

Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening
https://doi.org/10.1007/978-3-032-05169-1_45

PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy
https://doi.org/10.1007/978-3-032-05127-1_38

PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development
https://doi.org/10.1007/978-3-032-05169-1_46

PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset
https://doi.org/10.1007/978-3-032-05185-1_45

Pre-to-Post Operative MRI Generation with Retrieval-based Visual In-Context Learning
https://doi.org/10.1007/978-3-032-04927-8_51

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster
https://doi.org/10.1007/978-3-032-05127-1_39

PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis
https://doi.org/10.1007/978-3-032-05185-1_46

Predicting Alzheimer’s Disease Progression Using a Regression-based Survival Model with Longitudinal Data
https://doi.org/10.1007/978-3-032-05182-0_46

Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach
https://doi.org/10.1007/978-3-032-04927-8_49

Predicting Longitudinal Brain Development via Implicit Neural Representations
https://doi.org/10.1007/978-3-032-05141-7_46

Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI
https://doi.org/10.1007/978-3-032-05325-1_42

PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning
https://doi.org/10.1007/978-3-032-04927-8_50

Pretraining on Chronic Lung Inflammatory Disease Datasets to Enhance Indeterminant Lung Cancer Classification using Masked Autoencoders
https://doi.org/10.1007/978-3-032-05169-1_47

PRGNN: Pyramidal Region Graph Neural Network for Region-Based Brain PET Classification
https://doi.org/10.1007/978-3-032-05162-2_53

Prior-guided Prototype Aggregation Learning for Alzheimer’s Disease Diagnosis
https://doi.org/10.1007/978-3-032-05182-0_47

Privacy Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference
https://doi.org/10.1007/978-3-032-05185-1_47

Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks
https://doi.org/10.1007/978-3-032-05162-2_54

Probabilistic Inverse Consistent Image Registration Using Sparse Bayesian Network
https://doi.org/10.1007/978-3-032-04965-0_39

Probabilistic Prior-Guided Anatomical Alignment for MRI Super-Resolution
https://doi.org/10.1007/978-3-032-04965-0_40

ProgreSpine: Inherently Explainable Prototypical Regression for Spine Age Estimation
https://doi.org/10.1007/978-3-032-05185-1_48

Progression-Aware Generative Model Enhancing Baseline Visit Prediction of Early Alzheimer’s Disease
https://doi.org/10.1007/978-3-032-05182-0_48