Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs
A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction
Mixing-AdaSIN: Constructing a De-biased Dataset using Adaptive Structural Instance Normalization and Texture Mixing
Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach
Improving Tuberculosis Recognition on Bone-Suppressed Chest X-rays Guided by Task-Specific Features
Template-Based Inter-modality Super-resolution of Brain Connectivity
Adversarial Bayesian Optimization for Quantifying Motion Artifact within MRI
False Positive Suppression in Cervical Cell Screening via Attention-Guided Semi-Supervised Learning
Investigating and Quantifying the Reproducibility of Graph Neural Networks in Predictive Medicine
Self Supervised Contrastive Learning on Multiple Breast Modalities Boosts Classification Performance
Self-Guided Multi-Attention Network for Periventricular Leukomalacia Recognition
Opportunistic Screening of Osteoporosis Using Plain Film Chest X-ray
Multi-Task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer
Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network
Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution
A Multi-scale Capsule Network for Improving Diagnostic Generalizability in Breast Cancer Diagnosis using Ultrasonography
Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy using Multi-scale Patch Learning with Mammography
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification
Anatomical Structure-aware Pulmonary Nodule Detection via Parallel Multi-Task RoI Head
Towards Cancer Patients Classification Using Liquid Biopsy
Foreseeing Survival through `Fuzzy Intelligence': A cognitively-inspired incremental learning based de novo model for Breast Cancer Prognosis by multi-omics data fusion
Improving Across Dataset Brain Age Predictions using Transfer Learning
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation
FLAT-Net: Longitudinal Brain Graph Evolution Prediction from a Few Training Representative Templates.