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02/16/2023
Revisiting Hidden Representations in Transfer Learning for Medical Imaging
While a key component to the success of deep learning is the availabilit...
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07/08/2022
Detection of Furigana Text in Images
Furigana are pronunciation notes used in Japanese writing. Being able to...
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03/07/2022
Predicting Bearings' Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry
In the pharmaceutical industry, the maintenance of production machines m...
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01/07/2022
Effect of Prior-based Losses on Segmentation Performance: A Benchmark
Today, deep convolutional neural networks (CNNs) have demonstrated state...
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07/27/2021
ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification
We present ENHANCE, an open dataset with multiple annotations to complem...
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07/13/2021
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification
Transfer learning is a commonly used strategy for medical image classifi...
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04/12/2021
Common Limitations of Image Processing Metrics: A Picture Story
While the importance of automatic image analysis is increasing at an eno...
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03/18/2021
How I failed machine learning in medical imaging – shortcomings and recommendations
Medical imaging is an important research field with many opportunities f...
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01/12/2021
Using uncertainty estimation to reduce false positives in liver lesion detection
Despite the successes of deep learning techniques at detecting objects i...
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11/20/2020
Crowdsourcing Airway Annotations in Chest Computed Tomography Images
Measuring airways in chest computed tomography (CT) scans is important f...
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11/16/2020
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey
Today, deep convolutional neural networks (CNNs) have demonstrated state...
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06/30/2020
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning
Early detection of lung cancer has been proven to decrease mortality sig...
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05/20/2020
Risk of Training Diagnostic Algorithms on Data with Demographic Bias
One of the critical challenges in machine learning applications is to ha...
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04/28/2020
Multi-task Learning with Crowdsourced Features Improves Skin Lesion Diagnosis
Machine learning has a recognised need for large amounts of annotated da...
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02/25/2019
A Survey of Crowdsourcing in Medical Image Analysis
Rapid advances in image processing capabilities have been seen across ma...
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10/12/2018
Cats or CAT scans: transfer learning from natural or medical image source datasets?
Transfer learning is a widely used strategy in medical image analysis. I...
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06/21/2018
Characterizing multiple instance datasets
In many pattern recognition problems, a single feature vector is not suf...
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06/21/2018
Crowd disagreement of medical images is informative
Classifiers for medical image analysis are often trained with a single c...
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06/19/2018
Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans
Supervised feature learning using convolutional neural networks (CNNs) c...
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04/17/2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Machine learning (ML) algorithms have made a tremendous impact in the fi...
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06/12/2017
Exploring the similarity of medical imaging classification problems
Supervised learning is ubiquitous in medical image analysis. In this pap...
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06/07/2017
Early Experiences with Crowdsourcing Airway Annotations in Chest CT
Measuring airways in chest computed tomography (CT) images is important ...
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06/07/2017
Automatic Emphysema Detection using Weakly Labeled HRCT Lung Images
A method for automatically quantifying emphysema regions using High-Reso...
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03/15/2017
Label Stability in Multiple Instance Learning
We address the problem of instance label stability in multiple instance ...
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03/15/2017
Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners
Supervised learning has been very successful for automatic segmentation ...
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03/15/2017
Classification of COPD with Multiple Instance Learning
Chronic obstructive pulmonary disease (COPD) is a lung disease where ear...
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01/18/2017
Transfer learning for multi-center classification of chronic obstructive pulmonary disease
Chronic obstructive pulmonary disease (COPD) is a lung disease which can...
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12/11/2016
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
Multiple instance learning (MIL) is a form of weakly supervised learning...
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06/02/2014
On Classification with Bags, Groups and Sets
Many classification problems can be difficult to formulate directly in t...
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02/06/2014
Quantile Representation for Indirect Immunofluorescence Image Classification
In the diagnosis of autoimmune diseases, an important task is to classif...
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02/06/2014
Dissimilarity-based Ensembles for Multiple Instance Learning
In multiple instance learning, objects are sets (bags) of feature vector...
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09/22/2013