A post-doctoral position on medical imaging is available in the "Institut du Thorax", University of Nantes, France.
We are currently looking for a post-doc fellow to work on intra-cranial aneurysms detection using Deep Learning, and synthetic vascular models on 3D meshes.
Context of the
project:
As part of a collaboration between the University Hospital (Neuro-radiology Department) and the Institut du Thorax (ITX, UMR 1087), we are interested in studying the cerebral vascular tree, and more specifically in characterizing the cerebral arteries and automatically detecting intracranial aneurysms using deep learning approaches on 3D meshes. Indeed, in order to prevent cerebrovascular accidents, it is important to study the blood flow within the major bifurcations along the cerebral vascular tree (we mainly focus on the arteries forming the Circle of Willis).
At the University of Nantes, we are therefore looking for a young researcher (PhD required) who would be interested in a post-doctoral position (minimum 18 months, with possible extension) in the field of medical imaging and artificial intelligence.
Topic description:
Qualifications:
PhD degree in computer science, image processing or applied mathematics is mandatory.
Prior experience with Deep Learning, 3D meshes and image/signal processing is required.
Good oral and written English skills expected.
Strong programming skills are required (Python mandatory, C/C++ would be appreciated)
Application:
Candidates should send a cover letter along with an extended curriculum vitae to Florent Autrusseau (Florent.Autrusseau@univ-nantes.fr)
Expected starting date : October / November 2025.
The salary depends on the applicant’s experience, and should be at least 2 000 € (gross monthly salary)
As part of a collaboration between the University Hospital (Neuro-radiology Department) and the Institut du Thorax (ITX, UMR 1087), we are interested in studying the cerebral vascular tree, and more specifically in characterizing the cerebral arteries and automatically detecting intracranial aneurysms using deep learning approaches on 3D meshes. Indeed, in order to prevent cerebrovascular accidents, it is important to study the blood flow within the major bifurcations along the cerebral vascular tree (we mainly focus on the arteries forming the Circle of Willis).
At the University of Nantes, we are therefore looking for a young researcher (PhD required) who would be interested in a post-doctoral position (minimum 18 months, with possible extension) in the field of medical imaging and artificial intelligence.
Topic description:
The
project focuses on 3D vascular tree detection (on either
MRA-TOF, CTA or DSA acquisitions), and in particular on the
detection of vascular bifurcations and the detection and
characterization of intracranial aneurysms.
The postdoctoral fellow will be employed by the French National Institute for Health and Medical Research (INSERM) for 18 months, in the ITX laboratory of the Nantes University Hospital. She/he will study different ways of segmenting the vascular tree, recognizing bifurcations and detecting intracranial aneurysms on 3D meshes. A complete synthetic model of the vasculature will be used to train the neural networks.
The postdoc will work jointly on convolutional neural networks and the synthetic vascular model (involving signal processing, mathematical morphology).
More information on the synthetic model can be found here:
http://www.polytech.univ-nantes.fr/autrusseau-f/MedicalImaging/index.html
A substantial image data set is available: 2,000 time-of-flight angiographies (MRA-ToF) acquired from more than 60 university hospitals, 1,000 digital subtraction angiographies (DSA) and hundreds of computed tomography angiographies (CTA).
The postdoctoral fellow will be employed by the French National Institute for Health and Medical Research (INSERM) for 18 months, in the ITX laboratory of the Nantes University Hospital. She/he will study different ways of segmenting the vascular tree, recognizing bifurcations and detecting intracranial aneurysms on 3D meshes. A complete synthetic model of the vasculature will be used to train the neural networks.
The postdoc will work jointly on convolutional neural networks and the synthetic vascular model (involving signal processing, mathematical morphology).
More information on the synthetic model can be found here:
http://www.polytech.univ-nantes.fr/autrusseau-f/MedicalImaging/index.html
A substantial image data set is available: 2,000 time-of-flight angiographies (MRA-ToF) acquired from more than 60 university hospitals, 1,000 digital subtraction angiographies (DSA) and hundreds of computed tomography angiographies (CTA).
Qualifications:
PhD degree in computer science, image processing or applied mathematics is mandatory.
Prior experience with Deep Learning, 3D meshes and image/signal processing is required.
Good oral and written English skills expected.
Strong programming skills are required (Python mandatory, C/C++ would be appreciated)
Application:
Candidates should send a cover letter along with an extended curriculum vitae to Florent Autrusseau (Florent.Autrusseau@univ-nantes.fr)
Expected starting date : October / November 2025.
The salary depends on the applicant’s experience, and should be at least 2 000 € (gross monthly salary)
Related works from our team
Patents
- F. Autrusseau and R. Nader, "Method for Recognizing Bifurcations in a Vascular Tree, Associated Methods and Devices" , Patent EP 22305928.8, submitted on June 27th 2022.
- F. Autrusseau, A. Nouri and R. Bourcier, "Methods for Segmenting Digital Images, Devices and Systems for the Same", Patent Eur. 20305143.8, submitted on Feb. 14th 2020.
- A. Nouri, F. Autrusseau and R. Bourcier, "Method for Locating and Characterizing Bifurcations of a Cerebral Vascular Tree, Associated Methods and Devices", Subm. #EP18306612.5, Patent WO/2020/116162, submitted on Dec. 4th, 2019, published on June 11th 2020.
-
R. Nader, F. Autrusseau, V. L'Allinec, R. Bourcier, "Building a Synthetic Vascular Model: Evaluation in an Intracranial Aneurysms Detection Scenario", in IEEE Transactions on Medical imaging, Nov 2024
-
A. Missonnier, V. L'Allinec, P. Constant Dit Beaufils, F. Autrusseau, A. Nouri, M. Karakachoff, B. Rozec, R. Bourcier, K. Lakhal, "Effects of Induced Arterial Hypertension for Vasospasm on Unruptured and Unsecured Cerebral Aneurysms (Growth and Rupture) - A Retrospective case-Control Study", in Journal of Stroke and Cerebrovascular Diseases, May 2024.
-
R. Nader, R. Bourcier, F. Autrusseau, "Using deep learning for an automatic detection and classification of the vascular bifurcations along the Circle of Willis", in Medical Image Analysis, Aug 2023.
- I. Essadik, A. Nouri, R. Touahni, R. Bourcier, F. Autrusseau, "Automatic classification of the cerebral vascular bifurcations using dimensionality reduction and machine learning", in Elsevier Neuroscience Informatics, Sept. 2022.
- J. Boucherit, B. Kerleroux, G. Boulouis, G. Tessier, C. Rodriguez-Regent, P. Sporns, H. Ghannouchi, E. Shotar, F. Gariel, G. Marnat, J. Burel, H. Ifergan, G. Forestier, A. Rouchaud, H. Desal, A. Nouri, F. Autrusseau, G. Loirand, R. Bourcier, V. L’Allinec, "Bifurcation geometry remodelling of vessels in de-novo and growing intracranial aneurysms: A multicenter study", in Journal of NeuroInterventional Surgery, 2022.
- A. Nouri, F. Autrusseau, R. Bourcier, A. Gaignard, V. L’Allinec, C. Menguy, J. Veziers, H. Desal, G. Loirand and R. Redon, "Characterization of 3D Bifurcations in Micro-scan and MRA-TOF Images of Cerebral Vasculature for Prediction of Intra-Cranial Aneurysms", in Elsevier Computerized Medical Imaging and Graphics (CMIG), DOI, 14th July 2020.
- V. L’Allinec, S. Chatel, M. Karakachoff, E. Bourcereau, Z. Lamoureux, A. Gaignard, F. Autrusseau, S. Jouan, A.C. Vion, G. Loirand, H. Desal, O. Naggara, R. Redon, M. Edjlali and R. Bourcier, "Prediction of Unruptured Intracranial Aneurysm Evolution: The UCAN Project", in Neurosurgery, Oxford University Press, Feb. 2020.
International Conferences
- F. Autrusseau, R. Nader, M. El Hassouni, A. Nouri, N. Mansouri, V. L'Allinec and R. Bourcier, "Synthetic vascular image selection for deep learning based cerebral bifurcation classification", in 47th Intl. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenhagen, Denmark, July 2025.
- N. Mansouri, V. L'Allinec, R. Bourcier and F. Autrusseau, "Cerebral Artery Classification: Integrating Synthetic Models with MRA Data", in 47th Intl. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenhagen, Denmark, July 2025.
- A. Agarwal, C. Josset, F. Autrusseau, N. Baudin, Y. Favennec, "CUDA-Accelerated LBM Simulation in Cerebral Vasculature using Ray-Casting and Sparse Hashing", 34th International Conference on the Discrete Simulation of Fluid Dynamics (DSFD), Harbin, China, 3-6 Jul. 2025
- F. Autrusseau, R. Nader, A. Nouri, V. L'Allinec, R. Bourcier, "Toward a 3D Arterial Tree Bifurcation Model for Intra-Cranial Aneurysm Detection and Segmentation", in Intl. Conf. on Pattern Recog, ICPR'22, Montreal, Canada, Aug. 21-25 2022.
- I. Essadik, A. Nouri, N. Lauzeral, R. Touahni, R. Bourcier, F. Autrusseau, "Combining machine learning and artery characterization to identify the main bifurcations in 3Dvascular trees", in SPIE Medical Imaging 2022, San Diego, CA USA, 20 - 24 Feb. 2022.
- S. Chater, N. Lauzeral, A. Nouri, Y. El Merabet, F. Autrusseau, "Learning from mouse CT-Scan brain images to detect MRA-TOF human vasculatures", in 43rd International Conf. of the IEEE Engineering in Medicine and Biology Society, IEEE EMBC, 1 - 5 Nov. 2021.
- J. Guillou, F. Autrusseau, R. Bourcier, "Brain Vasculature Segmentation based on Human Perception Criteria", in SPIE Medical Imaging 2020, Houston, TX USA, 15 - 20 Feb. 2020.
- A. Nouri, F. Autrusseau, R. Bourcier, A. Gaignard, V. L'Allinec, C. Menguy, J. Veziers, H. Desal, G. Loirand, R. Redon, "3D bifurcations characterization for intra-cranial aneurysms prediction", in SPIE Medical Imaging 2019, San Diego, CA USA, 16 - 21 Feb. 2019.
