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Efficient and Robust Annotation Strategies
Heatmap Regression for Lesion Detection using Pointwise Annotations.-
Partial Annotations for the Segmentation of Large Structures with Low Annotation.-
Abstraction in Pixel-wise Noisy Annotations Can Guide Attention to Improve Prostate Cancer Grade Assessment
Meta Pixel Loss Correction for Medical Image Segmentation with Noisy Labels
Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction
Weakly-supervised, Self-supervised, and Contrastive Learning
Universal Lesion Detection and Classification using Limited Data and Weakly-Supervised Self-Training
BoxShrink: From Bounding Boxes to Segmentation Masks
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis
SB-SSL: Slice-Based Self-Supervised Transformers for Knee Abnormality Classification from MRI
Optimizing Transformations for Contrastive Learning in a Differentiable Framework
Stain-based Contrastive Co-training for Histopathological Image Analysis
Active and Continual Learning
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification
Real-time Data Augmentation using Fractional Linear Transformations in Continual Learning
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures
Transfer Representation Learning
Auto-segmentation of Hip Joints using MultiPlanar UNet with Transfer learning
Asymmetry and Architectural Distortion Detection with Limited Mammography Data
Imbalanced Data and Out-of-distribution Generalization
Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT
CVAD: An Anomaly Detector for Medical Images Based on Cascade
Approaches for Noisy, Missing, and Low Quality Data
Visual Field Prediction with Missing and Noisy Data Based on Distance-based Loss
Image Quality Classification for Automated Visual Evaluation of Cervical Precancer
A Monotonicity Constraint Attention Module for Emotion Classification with Limited EEG Data
Automated Skin Biopsy Analysis with Limited Data.
Heatmap Regression for Lesion Detection using Pointwise Annotations.-
Partial Annotations for the Segmentation of Large Structures with Low Annotation.-
Abstraction in Pixel-wise Noisy Annotations Can Guide Attention to Improve Prostate Cancer Grade Assessment
Meta Pixel Loss Correction for Medical Image Segmentation with Noisy Labels
Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction
Weakly-supervised, Self-supervised, and Contrastive Learning
Universal Lesion Detection and Classification using Limited Data and Weakly-Supervised Self-Training
BoxShrink: From Bounding Boxes to Segmentation Masks
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis
SB-SSL: Slice-Based Self-Supervised Transformers for Knee Abnormality Classification from MRI
Optimizing Transformations for Contrastive Learning in a Differentiable Framework
Stain-based Contrastive Co-training for Histopathological Image Analysis
Active and Continual Learning
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification
Real-time Data Augmentation using Fractional Linear Transformations in Continual Learning
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures
Transfer Representation Learning
Auto-segmentation of Hip Joints using MultiPlanar UNet with Transfer learning
Asymmetry and Architectural Distortion Detection with Limited Mammography Data
Imbalanced Data and Out-of-distribution Generalization
Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT
CVAD: An Anomaly Detector for Medical Images Based on Cascade
Approaches for Noisy, Missing, and Low Quality Data
Visual Field Prediction with Missing and Noisy Data Based on Distance-based Loss
Image Quality Classification for Automated Visual Evaluation of Cervical Precancer
A Monotonicity Constraint Attention Module for Emotion Classification with Limited EEG Data
Automated Skin Biopsy Analysis with Limited Data.