Mélanie Roschewitz (née Bernhardt)

About me

I’m a 3rd year Computing PhD student in the BiomedIA lab at Imperial College London, supervised by Prof. Ben Glocker and fully funded by an Imperial College President’s scholarship. My research interests cover various aspects of medical imaging machine learning, in particular reliability and safety of these systems.

Background

I started my studies with a B.Sc. in Mathematics as well as a postgraduate diploma in Statistics from the University of Strasbourg (France). Later, I graduated with distinction from ETH Zurich with a M.Sc. in Data Science, focusing on medical applications of machine learning. I then joined Microsoft Research Cambridge (UK), where I was an Applied Researcher in the InnerEye team, focusing on developing ML models for personalized treatment as well as on open-source efforts in ML for healthcare. In October 2021, I then started my PhD at Imperial. I joined the Kheiron Medical Technologies ML research team for an internship from April to October 2022.

News

Nov 18, 2024	I've been awarded a [Google PhD Fellowship in Health & Bioscience](https://www.imperial.ac.uk/news/258318/doc-phd-student-melanie-roschewitz-receives/) 🎉
Nov 12, 2024	Have been recognised as top reviewer for NeurIPS 2024
Sep 06, 2024	Looking forward to presenting our work Counterfactual Contrastive Learning: robust representations via causal image synthesis at MICCAI 2024 during the Data Engineering in Medical Imaging workshop!
Jul 24, 2024	I’ve been awarded the Margaret and Martin Gotheridge Award by the British Federation of Women Graduate for my PhD research!
Oct 19, 2023	Our work Automatic correction of performance drift under acquisition shift in medical image classification has been published in Nature Communications

Selected publications

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

Bib HTML Code

@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,
}

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,
}

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

Bib HTML

@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
}

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
}