Caroline Petitjean

Normandie Université — France

Computer Science · Physical Sciences

30h-index7.8kcitations184works0.42yr avg
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Research Topics

Medical Image Segmentation Techniques(43), Radiomics and Machine Learning in Medical Imaging(34), Advanced Neural Network Applications(22), Image Retrieval and Classification Techniques(22), AI in cancer detection(21)

Publications184 total

A Unified Framework for Multimodal Joint Segmentation and Registration Combining Finite Distortion Theory and Implicit Neural Networks
Journal of Mathematical Imaging and Vision·2026Open Access
Guest Editorial: Special Issue on Foundation Models in Medical Imaging
IEEE Journal of Biomedical and Health Informatics·2025
Blending variational approaches and deep learning to enforce prior constraints in medical image segmentation
Elsevier eBooks·2025Open Access
On a Hybrid Joint Segmentation/Multimodal Registration Model via Finite Distortion Mappings and Implicit Neural Representations
Lecture notes in computer science·2025· 1 citedOpen Access
Medical Image Synthesis with Deep Convolutional Adversarial Networks
UNC Libraries·2024Open Access
MiSuRe is all you need to explain your image segmentation
arXiv (Cornell University)·2024Open Access
[Citation needed] Data usage and citation practices in medical imaging conferences
arXiv (Cornell University)·2024· 1 citedOpen Access
Misure is All You Need to Explain Your Image Segmentation
SSRN Electronic Journal·2024· 1 citedOpen Access
A Guided Tour of Post-hoc XAI Techniques in Image Segmentation
Communications in computer and information science·2024· 1 citedOpen Access
Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation?
Lecture notes in computer science·2023· 14 citedOpen Access
Seg-XRes-CAM: Explaining Spatially Local Regions in Image Segmentation
2023· 17 cited
A study of attention information from transformer layers in hybrid medical image segmentation networks
2023· 4 citedOpen Access
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops
Lecture notes in computer science·2023· 15 cited
On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to Radiotherapy
Lecture notes in computer science·2023· 2 cited
Biomedical image analysis competitions: The state of current participation practice
arXiv (Cornell University)·2022· 17 citedOpen Access
Enforcing Geometrical Priors in Deep Networks for Semantic Segmentation Applied to Radiotherapy Planning
Journal of Mathematical Imaging and Vision·2022· 1 cited
Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound Images
Journal of Imaging·2022· 15 citedOpen Access
Effect of Prior-based Losses on Segmentation Performance: A Benchmark
arXiv (Cornell University)·2022Open Access
Resource-Efficient Medical Image Analysis
Lecture notes in computer science·2022· 6 cited
High-level prior-based loss functions for medical image segmentation: A survey
Computer Vision and Image Understanding·2021· 100 citedOpen Access
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Frequent Co-authors

Laurent Heutte(12), Su Ruan(12), Roger Trullo(7), Jean‐Nicolas Dacher(5), Dong Nie(5), Dinggang Shen(5), Bernard Dubray(5), Fábio Alexandre Spanhol(4), Luiz S. Oliveira(4), Paul Honeiné(4), Jérôme Caudron(4), Chesner Désir(4), P.-H. Vivier(4), Damien Grosgeorge(3), Nicolas Rougon(3), Rosana El Jurdi(3), Fahed Abdallah(3), Jeannette Fares(3), Luc Thiberville(3), Hongmei Mi(3)