Publications
2023
- Revisiting Hidden Representations in Transfer Learning for Medical ImagingTransactions on Machine Learning Research 2023
- Augmenting Chest X-ray Datasets with Non-Expert AnnotationsarXiv preprint arXiv:2309.02244 2023
2022
- Machine learning for medical imaging: methodological failures and recommendations for the futureNPJ Digital Medicine 2022
- Detection of Furigana Text in ImagesarXiv preprint arXiv:2207.03960 2022
- Predicting Bearings’ Degradation Stages for Predictive Maintenance in the Pharmaceutical IndustryarXiv preprint arXiv:2203.03259 2022
- Memory-aware curriculum federated learning for breast cancer classificationComputer Methods and Programs in Biomedicine 2022
- Detecting Shortcuts in Medical Images – A Case Study in Chest X-rays2022
2021
- ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classificationarXiv preprint arXiv:2107.12734 2021
- Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classificationarXiv preprint arXiv:2107.05940 2021
- High-level prior-based loss functions for medical image segmentation: A surveyComputer Vision and Image Understanding 2021
- Crowdsourcing airway annotations in chest computed tomography imagesPLoS ONE 2021
2020
- Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer LearningarXiv preprint arXiv:2006.16633 2020
- Predicting Scores of Medical Imaging Segmentation Methods with Meta-LearningIn Interpretable and Annotation-Efficient Learning for Medical Image Computing (MICCAI LABELS) 2020
- Risk of Training Diagnostic Algorithms on Data with Demographic BiasIn Interpretable and Annotation-Efficient Learning for Medical Image Computing (MICCAI LABELS) 2020
2019
- A survey of crowdsourcing in medical image analysisHuman Computation Journal 2019
- Cats or CAT scans: Transfer learning from natural or medical image source data sets?Current Opinion in Biomedical Engineering 2019
- Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysisMedical Image Analysis 2019
2018
- Automatic Emphysema Detection using Weakly Labeled HRCT Lung ImagesPLoS ONE 2018
- Crowd disagreement about medical images is informativeIn Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (MICCAI LABELS) 2018
- Multiple Instance Learning: A Survey of Problem Characteristics and ApplicationsPattern Recognition 2018
- Transfer learning for multi-center classification of chronic obstructive pulmonary diseaseIEEE Journal of Biomedical and Health Informatics 2018
2017
- Exploring the similarity of medical imaging classification problemsIn Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (MICCAI LABELS) 2017
2016
- Dissimilarity-based ensembles for multiple instance learningIEEE Transactions on Neural Networks and Learning Systems 2016
2015
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- Label stability in multiple instance learningIn Medical Imaging Computing and Computer Assisted Intervention (MICCAI) 2015
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