Machine Learning
Self-Supervised Learning
SSLP: Spatial Guided Self-supervised Learning on Pathological Images
Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning
Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations
Self-supervised visual representation learning for histopathological images
Contrastive Learning with Continuous Proxy Meta-Data For 3D MRI Classification
Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning
Self-Supervised Longitudinal Neighbourhood Embedding
Self-Supervised Multi-Modal Alignment For Whole Body Medical Imaging
SimTriplet: Simple Triplet Representation Learning with a Single GPU
Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation
SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images
Topological Learning and Its Application to Multimodal Brain Network Integration
One-Shot Medical Landmark Detection
Implicit field learning for unsupervised anomaly detection in medical images
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images
Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images
Positional Contrastive Learning for Volumetric Medical Image Segmentation
Longitudinal self-supervision to disentangle inter-patient variability from disease progression
Self-Supervised Vessel Enhancement Using Flow-Based Consistencies
Unsupervised Contrastive Learning of Radiomics and Deep Features for Label-Efficient Tumor Classification
Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks
Multimodal Representation Learning via Maximization of Local Mutual Information
Inter-Regional High-level Relation Learning from Functional Connectivity via Self-Supervision
Machine Learning
Semi-Supervised Learning
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency
Few-Shot Domain Adaptation with Polymorphic Transformers
Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection
Reciprocal Learning for Semi-supervised Segmentation
Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring
3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training
Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation
Implicit Neural Distance Representation for Unsupervised and Supervised Classification of Complex Anatomies
3D Graph-S2Net: Shape-Aware Self-Ensembling Network for Semi-Supervised Segmentation with Bilateral Graph Convolution
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation
Neighbor Matching for Semi-supervised Learning
Tripled-uncertainty Guided Mean Teacher model for Semi-supervised Medical Image Segmentation
Learning with Noise: Mask-guided Attention Model for Weakly Supervised Nuclei Segmentation
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels
Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation
Functional Magnetic Resonance Imaging data augmentation through conditional ICA
Scalable joint detection and segmentation of surgical instruments with weak supervision
Machine Learning
Weakly Supervised Learning
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
Bounding Box Tightness Prior for Weakly Supervised Image Segmentation
OXnet: Deep Omni-supervised Thoracic Disease Detection from Chest X-rays
Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation
Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports
Combining Attention-based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection
CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Chamber Segmentation
Observational Supervision for Medical Image Classification using Gaze Data
Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation
Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions during Clinical Evaluation of Medical Images
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
Labels-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation.