IMIMIC 2020
Assessing attribution maps for explaining CNN-based vertebral fracture classifiers
Projective Latent Interventions for Understanding and Fine-tuning Classifiers
Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging
Improving the Performance and Explainability of Mammogram Classifiers with Local Annotations
Improving Interpretability for Computer-aided Diagnosis tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-based Explanations
Explainable Disease Classification via weakly-supervised segmentation
Reliable Saliency Maps for Weakly-Supervised Localization of Disease Patterns
Explainability for regression CNN in fetal head circumference estimation from ultrasound images
MIL3ID 2020
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins
Semi-supervised Instance Segmentation with a Learned Shape Prior
COMe-SEE: Cross-Modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs
Semi-supervised Machine Learning with MixMatch and Equivalence Classes
Non-contrast CT Liver Segmentation using CycleGAN Data Augmentation from Contrast Enhanced CT
Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation
A Case Study of Transfer of Lesion-Knowledge
Transfer Learning With Joint Optimization for Label-Efficient Medical Image Anomaly Detection
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification
Semi-supervised classification of chest radiographs
LABELS 2020
Risk of training diagnostic algorithms on data with demographic bias
Semi-Weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks
Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels
EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology
Imbalance-Effective Active Learning in Nucleus, Lymphocyte and Plasma Cell Detection
Labeling of Multilingual Breast MRI Reports
Predicting Scores of Medical Imaging Segmentation Methods with Meta-Learning
Labelling imaging datasets on the basis of neuroradiology reports: a validation study
Semi-Supervised Learning for Instrument Detection with a Class Imbalanced Dataset
Paying Per-label Attention for Multi-label Extraction from Radiology Reports.