Publications

2025

1. arXiv

   Automatic dataset shift identification to support root cause analysis of AI performance drift

   Mélanie Roschewitz ,  Raghav Mehta ,  Charles Jones , and 1 more author

   In , Feb 2025

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2. ICLR

   Rethinking Fair Representation Learning for Performance-Sensitive Tasks

   Charles Jones ,  Fabio De Sousa Ribeiro ,  Melanie Roschewitz , and 2 more authors

   In International Conference on Representation Learning (ICLR) , Apr 2025

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3. ISBI

   Radio-opaque artefacts in digital mammography: automatic detection and analysis of downstream effects

   Amelia Schueppert ,  Ben Glocker ,  and  Melanie Roschewitz

   In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI) , Apr 2025

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2024

1. DEMI@MICCAI

   Counterfactual contrastive learning: robust representations via causal image synthesis

   Melanie Roschewitz ,  Fabio De Sousa Ribeiro ,  Tian Xia , and 2 more authors

   Data Engineering in Medical Imaging (in press). Second MICCAI Workshop, DEMI 2024., Nov 2024

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2. MICCAI

   Mitigating attribute amplification in counterfactual image generation

   Tian Xia ,  Melanie Roschewitz ,  Fabio De Sousa Ribeiro , and 2 more authors

   In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , Oct 2024

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2023

1. NatureComms

   Automatic correction of performance drift under acquisition shift in medical image classification

   Mélanie Roschewitz ,  Galvin Khara ,  Joe Yearsley , and 7 more authors

   Nature Communications, Oct 2023

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   @article{roschewitz2023automatic,
     title = {Automatic correction of performance drift under acquisition shift in medical image classification},
     author = {Roschewitz, M{\'e}lanie and Khara, Galvin and Yearsley, Joe and Sharma, Nisha and James, Jonathan J and Ambr{\'o}zay, {\'E}va and Heroux, Adam and Kecskemethy, Peter and Rijken, Tobias and Glocker, Ben},
     journal = {Nature Communications},
     volume = {14},
     number = {1},
     pages = {6608},
     year = {2023},
     month = oct,
     publisher = {Nature Publishing Group UK London},
     selected = true,
   }

2. ICCVW

   Distance Matters For Improving Performance Estimation Under Covariate Shift

   Mélanie Roschewitz ,  and  Ben Glocker

   In 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) , Oct 2023

   Bib HTML PDF Code

   @inproceedings{roschewitz2023distance,
     title = {Distance Matters For Improving Performance Estimation Under Covariate Shift},
     author = {Roschewitz, M{\'e}lanie and Glocker, Ben},
     booktitle = {2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)},
     pages = {4551--4561},
     month = oct,
     year = {2023},
     organization = {IEEE},
   }

3. Ebiomedicine

   Algorithmic encoding of protected characteristics in chest X-ray disease detection models

   Ben Glocker ,  Charles Jones ,  Mélanie Bernhardt , and 1 more author

   Ebiomedicine, Feb 2023

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   @article{glocker2023algorithmic,
     title = {Algorithmic encoding of protected characteristics in chest X-ray disease detection models},
     author = {Glocker, Ben and Jones, Charles and Bernhardt, M{\'e}lanie and Winzeck, Stefan},
     journal = {Ebiomedicine},
     volume = {89},
     year = {2023},
     publisher = {Elsevier},
     month = feb,
   }

4. MICCAI

   The role of subgroup separability in group-fair medical image classification

   Charles Jones ,  Mélanie Roschewitz ,  and  Ben Glocker

   In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , Oct 2023

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   @inproceedings{jones2023role,
     title = {The role of subgroup separability in group-fair medical image classification},
     author = {Jones, Charles and Roschewitz, M{\'e}lanie and Glocker, Ben},
     booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
     pages = {179--188},
     month = oct,
     year = {2023},
     organization = {Springer},
   }

5. ML4H

   Robust semi-supervised segmentation with timestep ensembling diffusion models

   Margherita Rosnati ,  Mélanie Roschewitz ,  and  Ben Glocker

   In Machine Learning for Health (ML4H) , Dec 2023

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   @inproceedings{rosnati2023robust,
     title = {Robust semi-supervised segmentation with timestep ensembling diffusion models},
     author = {Rosnati, Margherita and Roschewitz, M{\'e}lanie and Glocker, Ben},
     booktitle = {Machine Learning for Health (ML4H)},
     pages = {512--527},
     month = dec,
     year = {2023},
     organization = {PMLR},
   }

6. Radiology AI

   Risk of bias in chest radiography deep learning foundation models

   Ben Glocker ,  Charles Jones ,  Mélanie Roschewitz , and 1 more author

   Radiology: Artificial Intelligence, Sep 2023

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   @article{glocker2023risk,
     title = {Risk of bias in chest radiography deep learning foundation models},
     author = {Glocker, Ben and Jones, Charles and Roschewitz, M{\'e}lanie and Winzeck, Stefan},
     journal = {Radiology: Artificial Intelligence},
     volume = {5},
     number = {6},
     pages = {e230060},
     month = sep,
     year = {2023},
     publisher = {Radiological Society of North America},
   }

2022

1. NatureComms

   Active label cleaning for improved dataset quality under resource constraints

   Mélanie Bernhardt ,  Daniel C Castro ,  Ryutaro Tanno , and 8 more authors

   Nature communications, Mar 2022

   Bib HTML Code

   @article{bernhardt2022active,
     title = {Active label cleaning for improved dataset quality under resource constraints},
     author = {Bernhardt, M{\'e}lanie and Castro, Daniel C and Tanno, Ryutaro and Schwaighofer, Anton and Tezcan, Kerem C and Monteiro, Miguel and Bannur, Shruthi and Lungren, Matthew P and Nori, Aditya and Glocker, Ben and others},
     journal = {Nature communications},
     volume = {13},
     number = {1},
     pages = {1161},
     year = {2022},
     month = mar,
     publisher = {Nature Publishing Group UK London},
     selected = true,
   }

2. NatureMed

   Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms

   Mélanie Bernhardt ,  Charles Jones ,  and  Ben Glocker

   Nature Medicine, Jun 2022

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   @article{bernhardt2022potential,
     title = {Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms},
     author = {Bernhardt, M{\'e}lanie and Jones, Charles and Glocker, Ben},
     journal = {Nature Medicine},
     volume = {28},
     number = {6},
     pages = {1157--1158},
     month = jun,
     year = {2022},
     publisher = {Nature Publishing Group US New York},
     selected = true
   }

3. TMLR

   Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed

   Mélanie Bernhardt ,  Fabio De Sousa Ribeiro ,  and  Ben Glocker

   Transactions on Machine Learning Research, Oct 2022

   Bib HTML Code

   @article{bernhardt2022failure,
     title = {Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed},
     author = {Bernhardt, M{\'e}lanie and Ribeiro, Fabio De Sousa and Glocker, Ben},
     journal = {Transactions on Machine Learning Research},
     year = {2022},
     selected = true,
     month = oct
   }

2021

1. arXiv

   Hierarchical analysis of visual COVID-19 features from chest radiographs

   Shruthi Bannur ,  Ozan Oktay ,  Melanie Bernhardt , and 3 more authors

   In Presented at ICML 2021 Workshop on Interpretable Machine Learning in Healthcare. , Oct 2021

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   @inproceedings{bannur2021hierarchical,
     title = {Hierarchical analysis of visual COVID-19 features from chest radiographs},
     author = {Bannur, Shruthi and Oktay, Ozan and Bernhardt, Melanie and Schwaighofer, Anton and Jena, Rajesh and others},
     howpublished = {ArXiv:2107.06618},
     booktitle = {Presented at ICML 2021 Workshop on Interpretable Machine Learning in Healthcare.},
     year = {2021},
     eprint = {https://arxiv.org/abs/2107.06618},
   }

2020

1. IEEE-TUFCC

   Training variational networks with multidomain simulations: Speed-of-sound image reconstruction

   Melanie Bernhardt ,  Valery Vishnevskiy ,  Richard Rau , and 1 more author

   IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Jul 2020

   Bib HTML

   @article{bernhardt2020training,
     title = {Training variational networks with multidomain simulations: Speed-of-sound image reconstruction},
     author = {Bernhardt, Melanie and Vishnevskiy, Valery and Rau, Richard and Goksel, Orcun},
     journal = {IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control},
     volume = {67},
     number = {12},
     pages = {2584--2594},
     month = jul,
     year = {2020},
     publisher = {IEEE},
   }