Predictive Intelligence in Medicine: 5th International Workshop, PRIME 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings (Lecture Notes in Computer Science, 13564)

This book constitutes the proceedings of the 5th International Workshop on Predictive Intelligence in Medicine, PRIME 2022, held in conjunction with MICCAI 2022 as a hybrid event in Singapore, in September 2022. The 19 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine. Preface Organization Contents Federated Time-Dependent GNN Learning from Brain Connectivity Data with Missing Timepoints 1 Introduction 2 Proposed Method 3 Results and Discussion 4 Conclusion References Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing 1 Introduction 2 Methodology 3 Experimental Setup 4 Results and Discussion 5 Conclusion References Multi-tracer PET Imaging Using Deep Learning: Applications in Patients with High-Grade Gliomas 1 Introduction 2 Methods 2.1 PET and MR Dataset 2.2 Description of Proposed Framework 2.3 Evaluation Procedure 3 Results 3.1 Quantitative Evaluation 3.2 Nuclear Medicine Physician Analysis 3.3 Ablations 4 Discussion and Conclusion References Multiple Instance Neuroimage Transformer 1 Introduction 2 Method 2.1 Neuroimage Transformer (NiT) 2.2 Multiple Instance NiT (MINiT) 3 Experiments 4 Conclusion References Intervertebral Disc Labeling with Learning Shape Information, a Look once Approach 1 Introduction 2 Proposed Method 2.1 Semantic Intervertebral Disc Labeling 2.2 Refinement Network 3 Experimental Results 3.1 Metrics 3.2 Comparison of Results 3.3 Evaluation on the Noisy Prediction 4 Conclusion References Mixup Augmentation Improves Age Prediction from T1-Weighted Brain MRI Scans 1 Introduction 2 Materials and Methods 2.1 Data 2.2 T1w Preprocessing 2.3 Brain Age Prediction 2.4 Data Augmentation with Mixup 3 Experiments and Results 3.1 Mixup Probability 3.2 Mixing Sample Distribution 3.3 Mixing Based on Age Difference 3.4 Mixup with Auxiliary Input 4 Discussion References Diagnosing Knee Injuries from MRI with Transformer Based Deep Learning 1 Introduction 2 Related Works 3 Materials and Methods 3.1 Dataset 3.2 Methods 3.3 Implementation Details 4 Results 4.1 Experimental Results 5 Conclusions References MISS-Net: Multi-view Contrastive Transformer Network for MCI Stages Prediction Using Brain 18F-FDG PET Imaging 1 Introduction 2 Proposed Approach 2.1 Network Architecture 2.2 Two-Stage Training Approach for sMCI vs. pMCI Prediction 3 Experiments and Results 3.1 Dataset Selection and Pre-processing 3.2 Network Training Parameters and Implementation Details 3.3 Results and Evaluation 4 Conclusion References TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation 1 Introduction 2 Proposed Method 2.1 Swin-Transformer Block 2.2 Encoder 2.3 Swin Spatial Pyramid Pooling 2.4 Cross-Contexual Attention 2.5 Decoder 3 Experiments 3.1 Datasets 3.2 Implementation Details 3.3 Evaluation Results 3.4 Ablation Study 4 Conclusion References Opportunistic Hip Fracture Risk Prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study 1 Introduction 1.1 Related Work 2 Method 2.1 Preprocessing 2.2 Feature Extraction 2.3 Risk Estimation 3 Evaluation 3.1 Datasets and Baseline Methods 3.2 Results 3.3 Discussion 3.4 Limitations and Future Work 3.5 Conclusion References Weakly-Supervised TILs Segmentation Based on Point Annotations Using Transfer Learning with Point Detector and Projected-Boundary Regressor 1 Introduction 2 Related Works 2.1 Nuclei Segmentation 2.2 Weakly-Supervised Segmentation 3 Method 3.1 Center Positions and Boundary-Projected Vectors 3.2 Network Training 3.3 TILs Adaptation 4 Experiments 4.1 Datasets 4.2 Experimental Settings 5 Results 6 Conclusion References Discriminative Deep Neural Network for Predicting Knee OsteoArthritis in Early Stage 1 Introduction 2 Proposed Method 2.1 Overview 2.2 DenseNet Learning Model 2.3 Proposed Discriminative Shape-Texture DenseNet 3 Experimental Setup 3.1 Data Description 3.2 Implementation Details 4 Experimental Results 5 Conclusion References Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular Data 1 Introduction 2 Methodology 2.1 Single-Task Networks 2.2 Multi-task Networks 2.3 Incorporation of Non-imaging Data 3 Materials and Experiments 3.1 Implementation Details 3.2 Data 3.3 Evaluation Measures 4 Results 5 Discussion and Conclusion References Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts 1 Introduction 2 Methods 3 Experimental Results and Discussion 4 Conclusion References Investigating the Predictive Reproducibility of Federated Graph Neural Networks Using Medical Datasets 1 Introduction 2 Proposed Method 3 Results and Discussion 4 Conclusion References Learning Subject-Specific Functional Parcellations from Cortical Surface Measures 1 Introduction 2 Methods 2.1 Dataset 2.2 Cortical Surface Features 2.3 Model Training 2.4 Generating and Evaluating Predicted Parcellations on the Test Set 2.5 Assessment of Homogeneity 3 Results 4 Discussion and Conclusion References A Triplet Contrast Learning of Global and Local Representations for Unannotated Medical Images 1 Introduction 2 Related Work 3 Proposed Method 3.1 Local Change 3.2 Global Change 3.3 Network 3.4 Triplet Loss 3.5 Fine-Tuning 4 Experiments 5 Conclusion References Predicting Brain Multigraph Population from a Single Graph Template for Boosting One-Shot Classification 1 Introduction 2 Methodology 2.1 CBT Learning 2.2 Reverse Mapping 2.3 Multigraph Data Augmentation from a Single Graph 3 Experimental Results and Discussion 4 Conclusion References Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores Using Graph Neural Networks and Meta-learning 1 Introduction 2 Methodology 3 Experimental Results and Discussion 4 Conclusion References Author Index