Papers
Progression-Aware Generative Model Enhancing Baseline Visit Prediction of Early Alzheimer’s Disease
Xingyu Gao, Runyi Guo, Zhe Zhao
ProgreSpine: Inherently Explainable Prototypical Regression for Spine Age Estimation
Roozbeh Bazargani, Saqib Basar, Sam Hashemi et al.
Probabilistic Prior-Guided Anatomical Alignment for MRI Super-Resolution
Yiwen Luo, Xiaoying Tang, Yixuan Yuan
Probabilistic Inverse Consistent Image Registration Using Sparse Bayesian Network
Shenglong Yang, Kangrong Xu, Zefeng He et al.
Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks
Shangqi Gao, Shangde Gao, Ines Machado et al.
Privacy Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference
Jonghun Kim, Gyeongdeok Jo, Sinyoung Ra et al.
Prior-guided Prototype Aggregation Learning for Alzheimer’s Disease Diagnosis
Yueqin Diao, Huihui Fang, Hanyi Yu et al.
PRGNN: Pyramidal Region Graph Neural Network for Region-Based Brain PET Classification
Daesung Kim, Seungbeom Seo, Boosung Kim et al.
Pretraining on Chronic Lung Inflammatory Disease Datasets to Enhance Indeterminant Lung Cancer Classification using Masked Autoencoders
Axel H. P. Masquelin, Raúl San José Estépar
Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster
Fenghe Tang, Wenxin Ma, Zhiyang He et al.
Pre-to-Post Operative MRI Generation with Retrieval-based Visual In-Context Learning
Bogyeong Kang, Sang-Jun Park, Minjoo Lim et al.
PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning
Yeonkyung Lee, Woojung Han, Youngjun Jun et al.
PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy
Joanna Kaleta, Weronika Smolak-Dyżewska, Dawid Malarz et al.
Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI
Xinyu Hao, Hongming Xu, Qibin Zhang et al.
Predicting Longitudinal Brain Development via Implicit Neural Representations
Maik Dannecker, Daniel Rueckert
Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach
Ganping Li, Yoshito Otake, Yuito Kameda et al.
Predicting Alzheimer’s Disease Progression Using a Regression-based Survival Model with Longitudinal Data
Ling Dai, Yiqun Sun, Jincheng Gu et al.
PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis
Armin Saadat, Nima Hashemi, Hooman Vaseli et al.
PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset
Jinhyeok Jang, Hong Joo Lee, Nassir Navab et al.
PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development
Zhenhuan Zhou, Yuchen Zhang, Ruihong Xu et al.
Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening
Zirui Zhou, Zizhao Peng, Dongyang Jin et al.
PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis
Anwesa Choudhuri, Zhongpai Gao, Meng Zheng et al.
PolyMamba: Spatial-prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement
Renyu Fu, Shurui Hu, Xiao Zheng et al.
PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT
Yuxuan Yang, Chen Zhong, Xinyue Zhang et al.
PMIL: Prompt enhanced Multimodal Integrative analysis of fMRI combining functional connectivity and temporal Latency
Hyoungshin Choi, Jonghun Kim, Jiwon Chung et al.