Welcome to my page! I am a Full Professor at the University of Rouen Normandy (URN).
Research: I am with the LITIS lab, and my research work deals with medical image analysis with machine learning.
Teaching: I teach courses at both the undergraduate and the graduate level on topics such as digital signal and image processing, statistics, etc. Nothing related to teaching on this website. Everything is in our moodle: https://universitice.univ-rouen.fr/ (restricted access).
Contact : caroline dot petitjean at univ-rouen dot fr
Current duties and responsibilities (as of Oct 2025)
International activities:
- Associate Editor for IEEE Transactions on Medical Imaging since 2023, Computer Vision and Image understanding since 2021 and Neurocomputing since 2020
- Member of the « SBWT5A – Data science » panel for the FWO (Research Foundation – Flanders, Belgium) since 2023
- Co- French PI of the STIC AmSud project CGFLRVE (2023-25)
- Senior Media Editor for IEEE TMI
- Late-breaking work/demo Chair at the next XAI 2026 conference
In France:
- PI of the ANR project MEDISEG (2022-2026)
- Co-Supervisor of Syed Hasany PhD thesis with F. Mériaudeau
- Co-Supervisor of Diane Chan Sock Line PhD thesis with N Debroux and C Le Guyader
- Co-supervisor of Manon Lefeuvre PhD thesis with Z. Lambert and N. Piton
- Co-animatrice de l’axe Image de la FR 3638 Normastic
- Member (elected) of the Commission formation et vie étudiante (CFVU) of the URN since 2024
- Member (elected) of the Conseil académique (CAC) of the URN since 2024
- Member of the Conseil Scientifique Plénier of ENSEA, Cergy (scientific board of an engineering school) from 2021
- Gender equity referring person of the LITIS lab since 2023
- Member of the LITIS Lab council since 2012
Teaching related duties:
- Head of the 2nd year of the Master SD (data science) since 2020
- Membre nommée du Département de Physique de l’URN depuis 2017.
- Responsible for UE5 Introduction to artificial intelligence to L1 students (250 students)
- Tutor of one student of the MINMACS graduate school (2023-25)
News:
- Nov 2025: I will be Late-breaking work/demo chair at the next XAI 2026 conference
- Oct 2025: Our new PhD student Manon Lefeuvre has started her PhD (copsupervision with Zoé Lambert
- Oct 2025: explainability workshop
- TO DO : FILL THE GAPS
- On a Hybrid Joint Segmentation/Multimodal Registration Model via Finite Distortion Mappings and Implicit Neural Representations
- February 2025: I gave a talk on to introduce Artificial intelligence to high schoolers, at the Lycée Camille Saint-Saens in Rouen (Un chercheur, un enseignant, une classe)
- January 2025: I am now a Senior Media Editor at IEEE Transaction on Medical Imaging
- January 2025: I am co-organizing a special track on « Actionable AI » at the XAI world conference!
- January 2025: I have been elected at the CFVU at the Université de Rouen Normandie (Committee about the bachelor and master program of the URN)
- November 2024: I gave a plenary talk in Marseille during the R&D imaging workshop on Explainability in deep learning models in medical imaging
- July 2024: MIDL 2024 took place!!!
- June 2024: Our paper on « MiSuRe is all you need to explain your image segmentation » is now on ArXiV! please check it out.
- June 2024: I was invited to make a seminar at COMPASS, University of Washington USA, title: « Explainability in medical image segmentation models »
- May 2024: Our article with N. Hasany and F. Mériaudeau The Do’s and Don’ts of Grad-CAM in Image Segmentation as demonstrated on the Synapse multi-organ CT Dataset has been accepted as a short paper at MIDL’24!
- May 2024: the website for our Workshop on Explainability for Dense Prediction Models in Medical Image Analysis: EXPAND at MICCAI 2024 is up and running!
- April 204: I did a conference on AI for high-schoolers, Lycée Camille Saint-Saens, Rouen, 16 avril 2024: « L’intelligence artificielle dans la société de la connaissance »
- April 2024: Our article « [Citation needed] Data usage and citation practices in medical imaging conferences » has been accepted at MIDL’24!
- April 2024: I did a conference for the festival Entrevoir, Centre André Malraux, 6 avril 2024: « L’intelligence artificielle: une fenêtre sur l’image »
- March 2024: I did an expertise for the Department of Mathematics and Computer Science, University of Southern Denmark
- March 2024: Our worshop on « Explainability for Dense Prediction Models in Medical Image Analysis » EXPAND, has been accepted at MICCAI’24! to be held in conjunction with iMIMIC
- Feb 2024: Our paper on Data usage and citation practices in medical
imaging conferences is now available on ArXiV! - Feb 2024: I am part of the Program Committee of the XAI World Conference 2024
- Jan 2024: Our book chapter on « Blending variational approach and deep learning to enforce prior constraints in medical image segmentation » has been released!
- Oct 2023: I presented ChatGPT to high school students at the French National Science Fair (Fête de la Science) link to video
- Sept 2023: co-guest editoring a Special Issue to the IEEE JBHI on Foundation Models in Medical Imaging
- August 2023: Honored to have been appointed as Associate Editor for IEEE Transactions on Medical Imaging
- July 2023: I will be a co-chair for MIDL 2024 in Paris France 🙂
- July 2023: Our work on « Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation? » was presented at MIU 2023 in Abderdeen Scotland
- July 2023: Our work on « On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to Radiotherapy » was presented at SSVM in Italy
- June 2023: Member of the midterm jury of Dovile Juoedlyte in IT University Copenhagen
- April 2023: Our paper « Seg-XRes-CAM: Explaining Spatially Local Regions in Image Segmentation » with N. Hasany and F. Mériaudeau has been accepted for publication at the 2nd Explainable AI for Computer Vision Workshop (XAI4CV) at CVPR in the *spotlight* session!
- April 2023: I am an Area Chair for MICCAI 2023.
- March 2023: I was invited to give a talk at IABM, the 1st French Symposium on AI for biomedical imaging. My slides are here
- March 2023: I am appointed to promote gender equity in my lab with colleague Julien Saunier
- March 2023: Our paper with Zoé Lambert and Carole Le Guyader « On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to Radiotherapy » was accepted at SSVM2023!
- Feb 2023: I am an Area Chair for MIDL 2023.
- Jan 2023: with Veronika Cheplygina, we have obtained a funding from the Danish Data Science Academy so that Théo Sourget (a M2 student) can make an internship at IT University of Copenhagen
- Jan 2023: The work of my PhD student Syed Nouman Hasany “A study of attention information from transformer layers in hybrid medical image segmentation networks” has been accepted at the SPIE Medical Imaging conference to be held in San Diego in 2023. Congratulations!
- Nov 2022: I was invited to a conference-debate on AI and foundation models by the chair LIAvignon.
- Sept 2022: I am part of MICCAI 2022 Young Scientist Award Committee.
- Sept 2022: I am co-chair of the MICCAI workshop on Resource-Efficient Medical Image Analysis (REMIA), Singapour, 2022
- May 2022: I gave a talk on to introduce Artificial intelligence to high schoolers, at the Lycée Camille Saint-Saens in Rouen.
- April 2022: our paper with Zoé Lambert and Carole Le Guyader « Enforcing geometrical priors in deep networks for semantic segmentation applied to radiotherapy planning » has been accepted for publication in JMIV!
- April 2022: I am an area chair for MICCAI 2022.
- April 2022: I co-organized a workshop for the « Image » research axis of the FR Normastic with A. Mahoubi (GREYC).
- April 2022: my PhD student Jing Zhang has defended her PhD: « Biomarker estimation from medical images: segmentation-based and segmentation-free approaches »
- March 1st: My ANR project MEDISEG has officially started!
- Feb 2022: We organized a workshop with the GdR ISIS Deep learning with weak or few labels in medical image analysis
- Feb 2022: I am an Area Chair for the MIDL 2022 (Medical Imaging with Deep Learning) conference.