Publications of year 2026

1. Safaa Al-Ali and Irene Balelli. Multi-Channel Causal Variational Autoencoder for multimodal biomedical causal disentanglement. Journal of Biomedical Informatics, 176:104995, February 2026. Keyword(s): Multi-channel biomedical data, Causal disentanglement, Variational Autoencoder, Alzheimer's Disease.
   

   @article{alali:hal-05483061,
   TITLE = {{Multi-Channel Causal Variational Autoencoder for multimodal biomedical causal disentanglement}},
   AUTHOR = {Al-Ali, Safaa and Balelli, Irene},
   url-hal= {https://hal.science/hal-05483061},
   JOURNAL = {{Journal of Biomedical Informatics}},
   PUBLISHER = {{Elsevier}},
   VOLUME = {176},
   PAGES = {104995},
   YEAR = {2026},
   MONTH = Feb,
   DOI = {10.1016/j.jbi.2026.104995},
   KEYWORDS = {Multi-channel biomedical data ; Causal disentanglement ; Variational Autoencoder ; Alzheimer's Disease},
   PDF = {https://hal.science/hal-05483061v1/file/Main.pdf},
   HAL_ID = {hal-05483061},
   HAL_VERSION = {v1},
   
   }
   




2. Safaa Al-Ali, Jairo Rodrìguez-Padilla, Maxime Sermesant, and Irene Balelli. Global sensitivity analysis through causal discovery for an electromechanical cardiac model. Biomechanics and Modeling in Mechanobiology, 2026. Keyword(s): causal discovery, sensitivity analysis, electromechanical modeling, personalization, Cardiac models.
   

   @article{alali:hal-05660607,
   TITLE = {{Global sensitivity analysis through causal discovery for an electromechanical cardiac model}},
   AUTHOR = {Al-Ali, Safaa and Rodr{\'i}guez-Padilla, Jairo and Sermesant, Maxime and Balelli, Irene},
   url-hal= {https://hal.science/hal-05660607},
   JOURNAL = {{Biomechanics and Modeling in Mechanobiology}},
   PUBLISHER = {{Springer Verlag}},
   YEAR = {2026},
   KEYWORDS = {causal discovery ; sensitivity analysis ; electromechanical modeling ; personalization ; Cardiac models},
   PDF = {https://hal.science/hal-05660607v1/file/BMMB_2026_deposit_hal_v1.pdf},
   HAL_ID = {hal-05660607},
   HAL_VERSION = {v1},
   
   }
   




3. Amel Bakhouche, Olivier Creton, Fabien Lareyre, Sébastien Goffart, Irene Balelli, Hervé Delingette, and Juliette Raffort. Analysis of Clinical Improvement at 90 Days After Varicose Vein Surgery Using Machine Learning. Angiology, January 2026.
   

   @article{bakhouche:hal-05558541,
   TITLE = {{Analysis of Clinical Improvement at 90 Days After Varicose Vein Surgery Using Machine Learning}},
   AUTHOR = {Bakhouche, Amel and Creton, Olivier and Lareyre, Fabien and Goffart, S{\'e}bastien and Balelli, Irene and Delingette, Herv{\'e} and Raffort, Juliette},
   url-hal= {https://hal.science/hal-05558541},
   JOURNAL = {{Angiology}},
   PUBLISHER = {{SAGE Publications}},
   YEAR = {2026},
   MONTH = Jan,
   DOI = {10.1177/00033197261416661},
   HAL_ID = {hal-05558541},
   HAL_VERSION = {v1},
   
   }
   




4. Ezem Sura Ekmekci, Sébatien Frey, Snehashis Majhi, Khodor Hamadi, Hervé Delingette, Wen Wei, Matthieu Durand, Pierre Berthet-Rayne, Francois Bremond, and Nicholas Ayache. TBDM: Temporal Boundary Distillation Module for Surgical Gesture Segmentation. International Journal of Computer Assisted Radiology and Surgery, 2026. Keyword(s): Knowledge Distillation.
   

   @article{ekmekci:hal-05610435,
   TITLE = {{TBDM: Temporal Boundary Distillation Module for Surgical Gesture Segmentation}},
   AUTHOR = {Ekmekci, Ezem Sura and Frey, S{\'e}batien and Majhi, Snehashis and Hamadi, Khodor and Delingette, Herv{\'e} and Wei, Wen and Durand, Matthieu and Berthet-Rayne, Pierre and Bremond, Francois and Ayache, Nicholas},
   url-hal= {https://hal.science/hal-05610435},
   JOURNAL = {{International Journal of Computer Assisted Radiology and Surgery}},
   PUBLISHER = {{Springer Verlag}},
   YEAR = {2026},
   KEYWORDS = {Knowledge Distillation},
   HAL_ID = {hal-05610435},
   HAL_VERSION = {v1},
   
   }
   




5. Federica Facente, Benjamin Billot, Vivek Gopalakrishnan, Manasi Kattel, Wen Wei, Polina Golland, Hervé Delingette, Nicholas Ayache, and Pierre Berthet-Rayne. Towards real-time alignment of 3D CT and 2D X-Ray with multi-stage CNNs. Computer Assisted Surgery, 31, June 2026. Keyword(s): Image-guided interventions, Pose estimation, Multi-stage CNNs.
   

   @article{facente:hal-05478084,
   TITLE = {{Towards real-time alignment of 3D CT and 2D X-Ray with multi-stage CNNs}},
   AUTHOR = {Facente, Federica and Billot, Benjamin and Gopalakrishnan, Vivek and Kattel, Manasi and Wei, Wen and Golland, Polina and Delingette, Herv{\'e} and Ayache, Nicholas and Berthet-Rayne, Pierre},
   url-hal= {https://hal.science/hal-05478084},
   JOURNAL = {{Computer Assisted Surgery}},
   PUBLISHER = {{Tayloer \& Francis}},
   VOLUME = {31},
   YEAR = {2026},
   MONTH = Jun,
   DOI = {10.1080/24699322.2026.2684372},
   KEYWORDS = {Image-guided interventions ; Pose estimation ; Multi-stage CNNs},
   PDF = {https://hal.science/hal-05478084v2/file/Toward%20real-time%20alignment%20of%203D%20CT%20and%202D%20X-ray%20with%20multi-stage%20CNNs.pdf},
   HAL_ID = {hal-05478084},
   HAL_VERSION = {v2},
   
   }
   




6. Jia Guo, Juliette Raffort, and Fabien Lareyre. Methodological Considerations Regarding Machine Learning Prognostic Models after EVAR. Annals of Vascular Surgery, 127:166-167, June 2026.
   

   @article{guo:hal-05558283,
   TITLE = {{Methodological Considerations Regarding Machine Learning Prognostic Models after EVAR}},
   AUTHOR = {Guo, Jia and Raffort, Juliette and Lareyre, Fabien},
   url-hal= {https://hal.science/hal-05558283},
   JOURNAL = {{Annals of Vascular Surgery}},
   PUBLISHER = {{Elsevier Masson}},
   VOLUME = {127},
   PAGES = {166-167},
   YEAR = {2026},
   MONTH = Jun,
   DOI = {10.1016/j.avsg.2026.02.002},
   HAL_ID = {hal-05558283},
   HAL_VERSION = {v1},
   
   }
   




7. Lisa Guzzi, Fabien Lareyre, Sébastien Goffart, Maria Zuluaga, Hervé Delingette, and Juliette Raffort. Anatomic Characterisation of the Vascular System of the Lower Limb using Artificial Intelligence Based Segmentation Models. European Journal of Vascular and Endovascular Surgery, February 2026.
   

   @article{guzzi:hal-05558457,
   TITLE = {{Anatomic Characterisation of the Vascular System of the Lower Limb using Artificial Intelligence Based Segmentation Models}},
   AUTHOR = {Guzzi, Lisa and Lareyre, Fabien and Goffart, S{\'e}bastien and Zuluaga, Maria and Delingette, Herv{\'e} and Raffort, Juliette},
   url-hal= {https://hal.science/hal-05558457},
   JOURNAL = {{European Journal of Vascular and Endovascular Surgery}},
   PUBLISHER = {{Elsevier}},
   YEAR = {2026},
   MONTH = Feb,
   DOI = {10.1016/j.ejvs.2026.02.045},
   HAL_ID = {hal-05558457},
   HAL_VERSION = {v1},
   
   }
   




8. Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume Nataf, and Laura Bégon-Lours. Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation. Advanced Intelligent Systems, June 2026.
   

   @article{harrison:hal-05639760,
   TITLE = {{Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation}},
   AUTHOR = {Harrison, Dashiell and Nadaud, Kevin and Harrison, Josquin and Nataf, Guillaume and B{\'e}gon-Lours, Laura},
   url-hal= {https://hal.science/hal-05639760},
   JOURNAL = {{Advanced Intelligent Systems}},
   PUBLISHER = {{Wiley}},
   YEAR = {2026},
   MONTH = Jun,
   DOI = {10.1002/aisy.70438},
   PDF = {https://hal.science/hal-05639760v1/file/Harrison%20et%20al.%20-%202026%20-%20Exploiting%20Ferroelectric%20and%20Spintronic%20Dynamics%20for%20Neural%20Network%20Computation.pdf},
   HAL_ID = {hal-05639760},
   HAL_VERSION = {v1},
   
   }
   




9. Wassila Khatir, Irene Balelli, Marco Lorenzi, and Carole Gwizdek. MCVAE-based multi-omic anomaly detection in Fragile X Syndrome. NAR Molecular Medicine, May 2026.
   

   @article{khatir:hal-05639655,
   TITLE = {{MCVAE-based multi-omic anomaly detection in Fragile X Syndrome}},
   AUTHOR = {Khatir, Wassila and Balelli, Irene and Lorenzi, Marco and Gwizdek, Carole},
   url-hal= {https://hal.science/hal-05639655},
   JOURNAL = {{NAR Molecular Medicine}},
   PUBLISHER = {{Oxford University Press}},
   YEAR = {2026},
   MONTH = May,
   PDF = {https://hal.science/hal-05639655v1/file/ugag028.pdf},
   HAL_ID = {hal-05639655},
   HAL_VERSION = {v1},
   
   }
   




10. Henrik Aasen Kjeldsberg, Josquin Harrison, Maxime Sermesant, Renate B Schnabel, Joakim Sundnes, and Kristian Valen-Sendstad. Beyond CHA${}^2$DS${}^2$-VASc: Hemodynamic and Morphologic Discriminants for Thrombus Formation and Stroke in Atrial Fibrillation Patients. Annals of Biomedical Engineering, March 2026. Keyword(s): Blood flow simulation, Hemodynamics, Left atrial morphology, Computational fluid dynamics, Thrombus formation, Atrial fibrillation.
    

    @article{kjeldsberg:hal-05634281,
    TITLE = {{Beyond CHA${}^2$DS${}^2$-VASc: Hemodynamic and Morphologic Discriminants for Thrombus Formation and Stroke in Atrial Fibrillation Patients}},
    AUTHOR = {Kjeldsberg, Henrik Aasen and Harrison, Josquin and Sermesant, Maxime and Schnabel, Renate B and Sundnes, Joakim and Valen-Sendstad, Kristian},
    url-hal= {https://inria.hal.science/hal-05634281},
    JOURNAL = {{Annals of Biomedical Engineering}},
    PUBLISHER = {{Springer Verlag}},
    YEAR = {2026},
    MONTH = Mar,
    DOI = {10.1007/s10439-026-04039-3},
    KEYWORDS = {Blood flow simulation ; Hemodynamics ; Left atrial morphology ; Computational fluid dynamics ; Thrombus formation ; Atrial fibrillation},
    PDF = {https://inria.hal.science/hal-05634281v1/file/chads.pdf},
    HAL_ID = {hal-05634281},
    HAL_VERSION = {v1},
    
    }
    




11. Guillaume Olikier, Kyle Gallivan, and P. -A. Absil. Low-rank optimization methods based on projected-projected gradient descent that accumulate at Bouligand stationary points. Mathematics of Operations Research, April 2026. Keyword(s): Clarke regularity, tangent and normal cones, steepest descent, determinantal variety, low-rank optimization, critical point, stationary point, convergence analysis.
    

    @article{olikier:hal-04865950,
    TITLE = {{Low-rank optimization methods based on projected-projected gradient descent that accumulate at Bouligand stationary points}},
    AUTHOR = {Olikier, Guillaume and Gallivan, Kyle and Absil, P. -A.},
    url-hal= {https://inria.hal.science/hal-04865950},
    JOURNAL = {{Mathematics of Operations Research}},
    PUBLISHER = {{INFORMS}},
    YEAR = {2026},
    MONTH = Apr,
    DOI = {10.1287/moor.2024.0582},
    KEYWORDS = {Clarke regularity ; tangent and normal cones ; steepest descent ; determinantal variety ; low-rank optimization ; critical point ; stationary point ; convergence analysis},
    PDF = {https://inria.hal.science/hal-04865950v1/file/2201.03962v2.pdf},
    HAL_ID = {hal-04865950},
    HAL_VERSION = {v1},
    
    }
    




12. Guillaume Olikier, Petar Mlinaric, P. -A. Absil, and André Uschmajew. The tangent cone to the real determinantal variety: various expressions and a proof. Set-Valued and Variational Analysis, 34(2):8, March 2026. Keyword(s): low-rank matrices, tangent cone, determinantal variety.
    

    @article{olikier:hal-05216950,
    TITLE = {{The tangent cone to the real determinantal variety: various expressions and a proof}},
    AUTHOR = {Olikier, Guillaume and Mlinari{\'c}, Petar and Absil, P. -A. and Uschmajew, Andr{\'e}},
    url-hal= {https://inria.hal.science/hal-05216950},
    JOURNAL = {{Set-Valued and Variational Analysis}},
    PUBLISHER = {{Springer}},
    VOLUME = {34},
    NUMBER = {2},
    PAGES = {8},
    YEAR = {2026},
    MONTH = Mar,
    DOI = {10.1007/s11228-026-00796-4},
    KEYWORDS = {low-rank matrices ; tangent cone ; determinantal variety},
    PDF = {https://inria.hal.science/hal-05216950v1/file/2504.11382v2.pdf},
    HAL_ID = {hal-05216950},
    HAL_VERSION = {v1},
    
    }
    




13. Juliette Raffort, Jia Guo, and Fabien Lareyre. Deep Learning for Automatic Detection of Aortic Dissection on Non-contrast Computed Tomography. European Journal of Vascular and Endovascular Surgery, 2026.
    

    @article{raffort:hal-05558370,
    TITLE = {{Deep Learning for Automatic Detection of Aortic Dissection on Non-contrast Computed Tomography}},
    AUTHOR = {Raffort, Juliette and Guo, Jia and Lareyre, Fabien},
    url-hal= {https://hal.science/hal-05558370},
    JOURNAL = {{European Journal of Vascular and Endovascular Surgery}},
    PUBLISHER = {{Elsevier}},
    YEAR = {2026},
    DOI = {10.1016/j.ejvs.2025.09.072},
    PDF = {https://hal.science/hal-05558370v1/file/EJVES%20Raffort%20J%202025%20%281%29.pdf},
    HAL_ID = {hal-05558370},
    HAL_VERSION = {v1},
    
    }
    




14. Hari Sreedhar, Hervé Delingette, Guillaume Lajoinie, Edouard Ghanassia, Pierre-Yves Marcy, Hervé Monpeyssen, and Charles Raffaelli. Study of French Inter-Expert Variability in Thyroid Nodule Ultrasound. European Thyroid Journal, April 2026. Keyword(s): Cancer, Imaging, Ultrasound, Thyroid.
    

    @article{sreedhar:hal-05588197,
    TITLE = {{Study of French Inter-Expert Variability in Thyroid Nodule Ultrasound}},
    AUTHOR = {Sreedhar, Hari and Delingette, Herv{\'e} and Lajoinie, Guillaume and Ghanassia, Edouard and Marcy, Pierre-Yves and Monpeyssen, Herv{\'e} and Raffaelli, Charles},
    url-hal= {https://inria.hal.science/hal-05588197},
    JOURNAL = {{European Thyroid Journal }},
    PUBLISHER = {{Karger}},
    YEAR = {2026},
    MONTH = Apr,
    DOI = {10.1530/ETJ-26-0059},
    KEYWORDS = {Cancer ; Imaging ; Ultrasound ; Thyroid},
    PDF = {https://inria.hal.science/hal-05588197v1/file/Version_HAL.pdf},
    HAL_ID = {hal-05588197},
    HAL_VERSION = {v1},
    
    }
    




15. Tom Szwagier, Pierre-Alexandre Mattei, Charles Bouveyron, and Xavier Pennec. Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles. Statistics and Computing, 36(3):95, February 2026. Keyword(s): Model Selection, EM Algorithm, Eigenvalues, Parsimonious Models, Gaussian Mixture Models.
    

    @article{szwagier:hal-05140200,
    TITLE = {{Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles}},
    AUTHOR = {Szwagier, Tom and Mattei, Pierre-Alexandre and Bouveyron, Charles and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-05140200},
    JOURNAL = {{Statistics and Computing}},
    PUBLISHER = {{Springer Verlag (Germany)}},
    VOLUME = {36},
    NUMBER = {3},
    PAGES = {95},
    YEAR = {2026},
    MONTH = Feb,
    DOI = {10.1007/s11222-026-10832-w},
    KEYWORDS = {Model Selection ; EM Algorithm ; Eigenvalues ; Parsimonious Models ; Gaussian Mixture Models},
    PDF = {https://inria.hal.science/hal-05140200v2/file/MPSA_v2.pdf},
    HAL_ID = {hal-05140200},
    HAL_VERSION = {v2},
    
    }
    




16. Tom Szwagier and Xavier Pennec. Nested Subspace Learning with Flags. Journal of Machine Learning Research, 2026. Keyword(s): dimensionality reduction, nested subspaces, flag manifolds, Grassmann manifolds, subspace learning.
    

    @article{szwagier:hal-05047175,
    TITLE = {{Nested Subspace Learning with Flags}},
    AUTHOR = {Szwagier, Tom and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-05047175},
    JOURNAL = {{Journal of Machine Learning Research}},
    PUBLISHER = {{Microtome Publishing}},
    YEAR = {2026},
    KEYWORDS = {dimensionality reduction ; nested subspaces ; flag manifolds ; Grassmann manifolds ; subspace learning},
    PDF = {https://inria.hal.science/hal-05047175v2/file/Flag_Trick_arXiv_v2.pdf},
    HAL_ID = {hal-05047175},
    HAL_VERSION = {v2},
    
    }
    




17. Tom Szwagier and Xavier Pennec. The curse of isotropy: from principal components to principal subspaces. Statistical Science, 2026. Keyword(s): Flag Manifolds, Parsimonious Models, Interpretability, Isotropy, Principal Component Analysis.
    

    @article{szwagier:hal-04171853,
    TITLE = {{The curse of isotropy: from principal components to principal subspaces}},
    AUTHOR = {Szwagier, Tom and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-04171853},
    JOURNAL = {{Statistical Science}},
    PUBLISHER = {{Institute of Mathematical Statistics (IMS)}},
    YEAR = {2026},
    DOI = {10.1214/26-STS1032},
    KEYWORDS = {Flag Manifolds ; Parsimonious Models ; Interpretability ; Isotropy ; Principal Component Analysis},
    PDF = {https://inria.hal.science/hal-04171853v3/file/Curse_of_Isotropy.pdf},
    HAL_ID = {hal-04171853},
    HAL_VERSION = {v3},
    
    }
    

1. Florencia Boccarato, Fahym Bounazou, Hye-Lim Lee, R. Renard Penna, and Hervé Delingette. Data-Driven Optimization of Prostate Sectorization from MRI. In LNCS, LNCS, Strasbourg, France, September 2026. Springer Nature. Keyword(s): Medical Image Analysis, Prostate - Cancer.
   

   @inproceedings{boccarato:hal-05656966,
   TITLE = {{Data-Driven Optimization of Prostate Sectorization from MRI}},
   AUTHOR = {Boccarato, Florencia and Bounazou, Fahym and Lee, Hye-Lim and Penna, R. Renard and Delingette, Herv{\'e}},
   url-hal= {https://inria.hal.science/hal-05656966},
   BOOKTITLE = {{LNCS}},
   ADDRESS = {Strasbourg, France},
   PUBLISHER = {{Springer Nature}},
   SERIES = {LNCS},
   YEAR = {2026},
   MONTH = Sep,
   KEYWORDS = {Medical Image Analysis ; Prostate - Cancer},
   PDF = {https://inria.hal.science/hal-05656966v1/file/Data_Driven_Optimization_of_Prostate_Sectorization_from_MRI%20%281%29.pdf},
   HAL_ID = {hal-05656966},
   HAL_VERSION = {v1},
   
   }
   




2. Fahym Bounazou, Florencia Boccarato, Hye Lim Lee, Raphaele Renard-Penna, and Hervé Delingette. Optimized High B-Value DWI Synthesis for Prostate Cancer Detection using ADC Fusion. In ISBI 2026 - IEEE International Symposium on Biomedical Imaging, Londres, United Kingdom, April 2026. IEEE. Keyword(s): Data driven approach, Image Processing, Apparent Diffusion Coefficient, Prostate Cancer, Diffusion-Weighted Imaging DWI.
   

   @inproceedings{bounazou:hal-05579091,
   TITLE = {{Optimized High B-Value DWI Synthesis for Prostate Cancer Detection using ADC Fusion}},
   AUTHOR = {Bounazou, Fahym and Boccarato, Florencia and Lee, Hye Lim and Renard-Penna, Raphaele and Delingette, Herv{\'e}},
   url-hal= {https://inria.hal.science/hal-05579091},
   BOOKTITLE = {{ISBI 2026 - IEEE International Symposium on Biomedical Imaging}},
   ADDRESS = {Londres, United Kingdom},
   PUBLISHER = {{IEEE}},
   YEAR = {2026},
   MONTH = Apr,
   DOI = {10.1109/ISBI61048.2026},
   KEYWORDS = {Data driven approach ; Image Processing ; Apparent Diffusion Coefficient ; Prostate Cancer ; Diffusion-Weighted Imaging DWI},
   PDF = {https://inria.hal.science/hal-05579091v1/file/High_b_value_DWI_generation___ISBI_submission___REVIEW.pdf},
   HAL_ID = {hal-05579091},
   HAL_VERSION = {v1},
   
   }
   




3. John Kalkhof and Marco Lorenzi. STAMP: Subtype-Aware Spatio-Temporal Atlases for Personalized Prediction of Longitudinal Alzheimer's Disease Progression. In Proceedings of the 29th International Conference on Medical Image Computing and Computer Assisted Intervention, Strasbourg, France, September 2026. Keyword(s): Disease progression modeling, clustering, deep learning.
   

   @inproceedings{kalkhof:hal-05635807,
   TITLE = {{STAMP: Subtype-Aware Spatio-Temporal Atlases for Personalized Prediction of Longitudinal Alzheimer's Disease Progression}},
   AUTHOR = {Kalkhof, John and Lorenzi, Marco},
   url-hal= {https://hal.science/hal-05635807},
   BOOKTITLE = {{Proceedings of the 29th International Conference on Medical Image Computing and Computer Assisted Intervention}},
   ADDRESS = {Strasbourg, France},
   YEAR = {2026},
   MONTH = Sep,
   KEYWORDS = {Disease progression modeling ; clustering ; deep learning},
   HAL_ID = {hal-05635807},
   HAL_VERSION = {v1},
   
   }
   




4. Arnaud Lang, Rodrigo Henrique Ramos, Safaa Al-Ali, Mohammad Reza Mousavi, Anna Calissano, and Irene Balelli. Consensus Enhances Individual Causal Models: a Use Case on Lung Cancer Driven by Cellular Pathways. In Computational Methods in Systems Biology, volume 16678 of Lecture Notes in Computer Science, Lisbon, Portugal, July 2026. Keyword(s): Cellular Pathways, Cancer Patient Data, Cancer Genomics, Knowledgebased systems, Benchmark, Consensus Causal Models, Causal Discovery.
   

   @inproceedings{lang:hal-05620648,
   TITLE = {{Consensus Enhances Individual Causal Models: a Use Case on Lung Cancer Driven by Cellular Pathways}},
   AUTHOR = {Lang, Arnaud and Ramos, Rodrigo Henrique and Al-Ali, Safaa and Mousavi, Mohammad Reza and Calissano, Anna and Balelli, Irene},
   url-hal= {https://hal.science/hal-05620648},
   BOOKTITLE = {{Computational Methods in Systems Biology}},
   ADDRESS = {Lisbon, Portugal},
   SERIES = {Lecture Notes in Computer Science},
   VOLUME = {16678},
   YEAR = {2026},
   MONTH = Jul,
   KEYWORDS = {Cellular Pathways ; Cancer Patient Data ; Cancer Genomics ; Knowledgebased systems ; Benchmark ; Consensus Causal Models ; Causal Discovery},
   PDF = {https://hal.science/hal-05620648v1/file/CMSB%272026.pdf},
   HAL_ID = {hal-05620648},
   HAL_VERSION = {v1},
   
   }
   




5. Elie Thellier, Huiyu Li, Nicholas Ayache, and Hervé Delingette. High-Capacity Robust Medical Image Exfiltration via Neural Network Weight Replacement. In MICCAI 2026 - 29th International Conference on Medical Image Computing and Computer Assisted Intervention, Strasbourg, France, September 2026. Keyword(s): Medical AI Security, Image Exfiltration, Steganography.
   

   @inproceedings{thellier:hal-05656228,
   TITLE = {{High-Capacity Robust Medical Image Exfiltration via Neural Network Weight Replacement}},
   AUTHOR = {Thellier, Elie and Li, Huiyu and Ayache, Nicholas and Delingette, Herv{\'e}},
   url-hal= {https://hal.science/hal-05656228},
   BOOKTITLE = {{MICCAI 2026 - 29th International Conference on Medical Image Computing and Computer Assisted Intervention}},
   ADDRESS = {Strasbourg, France},
   YEAR = {2026},
   MONTH = Sep,
   KEYWORDS = {Medical AI Security ; Image Exfiltration ; Steganography},
   PDF = {https://hal.science/hal-05656228v1/file/Paper_3616_HAL.pdf},
   HAL_ID = {hal-05656228},
   HAL_VERSION = {v1},
   
   }
   




6. Alix de Langlais, Benjamin Billot, Théo Aguilar Vidal, Marc-Olivier Gauci, and Hervé Delingette. Resource-efficient Automatic Refinement of Segmentations via Weak Supervision from Light Feedback. In ISBI 2026 - IEEE International Symposium on Biomedical Imaging, Londres, United Kingdom, April 2026. Keyword(s): Efficient Segmentation Correction, Reaching Clinical Accuracy, Image and Video Processing, Computer Vision and Pattern Recognition, Weak Supervision.
   

   @inproceedings{delanglais:hal-05571851,
   TITLE = {{Resource-efficient Automatic Refinement of Segmentations via Weak Supervision from Light Feedback}},
   AUTHOR = {de Langlais, Alix and Billot, Benjamin and Vidal, Th{\'e}o Aguilar and Gauci, Marc-Olivier and Delingette, Herv{\'e}},
   url-hal= {https://inria.hal.science/hal-05571851},
   BOOKTITLE = {{ISBI 2026 - IEEE International Symposium on Biomedical Imaging}},
   ADDRESS = {Londres, United Kingdom},
   YEAR = {2026},
   MONTH = Apr,
   KEYWORDS = {Efficient Segmentation Correction ; Reaching Clinical Accuracy ; Image and Video Processing ; Computer Vision and Pattern Recognition ; Weak Supervision},
   PDF = {https://inria.hal.science/hal-05571851v1/file/ISBI26_paper_1571220762.pdf},
   HAL_ID = {hal-05571851},
   HAL_VERSION = {v1},
   
   }
   

1. Viviane Nguefack Ngoune, Sai Anuhya A. Nalagandla, Mickaella Heitz, Richard Quentin, Pierre-Hadrien Becker, Eléonore Birgy, Cécile Rouzier, Samira Ait-El-Mkadem Saadi, Annabelle Chaussenot, Bruno Francou, Marco Lorenzi, Pauline Gaignard, Céline Bris, Véronique Paquis-Flucklinger, Karine Rottier, Andri Papadopoulou, Anthony J Brookes, Sylvie Bannwarth, and Vincent Procaccio. Intérêt des outils SPIDER et Café Variome pour MitoMatcher, base de données française pour les maladies mitochondriales. 13ème assises de génétique humaine et médicale, January 2026. Note: Poster.
   

   @misc{nguefackngoune:hal-05484281,
   TITLE = {{Int{\'e}r{\^e}t des outils SPIDER et Caf{\'e} Variome pour MitoMatcher, base de donn{\'e}es fran{\c c}aise pour les maladies mitochondriales}},
   AUTHOR = {Nguefack Ngoune, Viviane and Anuhya A. Nalagandla, Sai and Heitz, Mickaella and Quentin, Richard and Becker, Pierre-Hadrien and Birgy, El{\'e}onore and Rouzier, C{\'e}cile and Ait-El-Mkadem Saadi, Samira and Chaussenot, Annabelle and Francou, Bruno and Lorenzi, Marco and Gaignard, Pauline and Bris, C{\'e}line and Paquis-Flucklinger, V{\'e}ronique and Rottier, Karine and Papadopoulou, Andri and J Brookes, Anthony and Bannwarth, Sylvie and Procaccio, Vincent},
   url-hal= {https://hal.science/hal-05484281},
   NOTE = {Poster},
   HOWPUBLISHED = {{13{\`e}me assises de g{\'e}n{\'e}tique humaine et m{\'e}dicale}},
   YEAR = {2026},
   MONTH = Jan,
   HAL_ID = {hal-05484281},
   HAL_VERSION = {v1},
   
   }
   




2. Olivier Bisson and Xavier Pennec. Log-Euclidean Lie Groups. Note: Working paper or preprint, March 2026. Keyword(s): Log-Euclidean Lie groups, Geometric Statistics, SPD Matrices, Correlation Matrices, Riemannian Submersion, Principal Bundle, Isometric Embeddings.
   

   @unpublished{bisson:hal-05206748,
   TITLE = {{Log-Euclidean Lie Groups}},
   AUTHOR = {Bisson, Olivier and Pennec, Xavier},
   url-hal= {https://hal.science/hal-05206748},
   NOTE = {working paper or preprint},
   YEAR = {2026},
   MONTH = Mar,
   KEYWORDS = {Log-Euclidean Lie groups ; Geometric Statistics ; SPD Matrices ; Correlation Matrices ; Riemannian Submersion ; Principal Bundle ; Isometric Embeddings},
   PDF = {https://hal.science/hal-05206748v3/file/main_revised_updated_v3.pdf},
   HAL_ID = {hal-05206748},
   HAL_VERSION = {v3},
   
   }
   




3. Jia Guo, Fabien Lareyre, Sébastien Goffart, Martin Teraa, Regent Lee, Juliette Raffort, and Hervé Delingette. Automated segmentation of ruptured and non-ruptured abdominal aortic aneurysms based on active learning. Note: Working paper or preprint, March 2026. Keyword(s): Aorta, Abdominal aortic aneurysm, CTA, Segmentation, Deep learning, Active learning.
   

   @unpublished{guo:hal-05556482,
   TITLE = {{Automated segmentation of ruptured and non-ruptured abdominal aortic aneurysms based on active learning}},
   AUTHOR = {Guo, Jia and Lareyre, Fabien and Goffart, S{\'e}bastien and Teraa, Martin and Lee, Regent and Raffort, Juliette and Delingette, Herv{\'e}},
   url-hal= {https://inria.hal.science/hal-05556482},
   NOTE = {working paper or preprint},
   YEAR = {2026},
   MONTH = Mar,
   KEYWORDS = {Aorta ; Abdominal aortic aneurysm ; CTA ; Segmentation ; Deep learning ; Active learning},
   PDF = {https://inria.hal.science/hal-05556482v1/file/Manuscript.pdf},
   HAL_ID = {hal-05556482},
   HAL_VERSION = {v1},
   
   }
   




4. John Kalkhof, Boris Gutman, Emile d'Angremont, Daniel C. Alexander, and Marco Lorenzi. SMART: A Flexible, Interpretable, and Scalable Spatio-temporal Brain Atlas from High-Resolution Imaging Data. Note: Working paper or preprint, June 2026. Keyword(s): Disease Progression Modeling, Neural Cellular Automata, 3D Medical Image Analysis.
   

   @unpublished{kalkhof:hal-05489861,
   TITLE = {{SMART: A Flexible, Interpretable, and Scalable Spatio-temporal Brain Atlas from High-Resolution Imaging Data}},
   AUTHOR = {Kalkhof, John and Gutman, Boris and d'Angremont, Emile and Alexander, Daniel C. and Lorenzi, Marco},
   url-hal= {https://hal.science/hal-05489861},
   NOTE = {working paper or preprint},
   YEAR = {2026},
   MONTH = Jun,
   KEYWORDS = {Disease Progression Modeling ; Neural Cellular Automata ; 3D Medical Image Analysis},
   PDF = {https://hal.science/hal-05489861v2/file/Smart_Arxiv.pdf},
   HAL_ID = {hal-05489861},
   HAL_VERSION = {v2},
   
   }
   




5. Hasan Kassem, Orion Banks, Sergen Cansiz, Brandon Edwards, Patrick Foley, Inken Hagestedt, Taeho Jung, Prakash Moorthy, Michael O'Connor, Marco Lorenzi, Ann K Novakowski, Bruno Rodrigues, Holger Roth, Micah Sheller, Dimitris Stripelis, Marc Vesin, Renato Umeton, Mic Bowman, and Alexandros Karargyris. A Technical Policy Blueprint for Trustworthy Decentralized AI. Note: Working paper or preprint, May 2026.
   

   @unpublished{kassem:hal-05630848,
   TITLE = {{A Technical Policy Blueprint for Trustworthy Decentralized AI}},
   AUTHOR = {Kassem, Hasan and Banks, Orion and Cansiz, Sergen and Edwards, Brandon and Foley, Patrick and Hagestedt, Inken and Jung, Taeho and Moorthy, Prakash and O'Connor, Michael and Lorenzi, Marco and Novakowski, Ann K and Rodrigues, Bruno and Roth, Holger and Sheller, Micah and Stripelis, Dimitris and Vesin, Marc and Umeton, Renato and Bowman, Mic and Karargyris, Alexandros},
   url-hal= {https://hal.science/hal-05630848},
   NOTE = {working paper or preprint},
   YEAR = {2026},
   MONTH = May,
   HAL_ID = {hal-05630848},
   HAL_VERSION = {v1},
   
   }
   




6. Marco Lorenzi, Anna Custo, Giovanni Frisoni, and Valentina Garibotto. A data-driven Alzheimer's disease progression simulator for retrospective validation and prospective Phase III power design. Note: Working paper or preprint, May 2026.
   

   @unpublished{lorenzi:hal-05631091,
   TITLE = {{A data-driven Alzheimer's disease progression simulator for retrospective validation and prospective Phase III power design}},
   AUTHOR = {Lorenzi, Marco and Custo, Anna and Frisoni, Giovanni and Garibotto, Valentina},
   url-hal= {https://hal.science/hal-05631091},
   NOTE = {working paper or preprint},
   YEAR = {2026},
   MONTH = May,
   HAL_ID = {hal-05631091},
   HAL_VERSION = {v1},
   
   }
   




7. Santiago Silva, Ghiles Reguig, Neil P Oxtoby, Andre Altmann, and Marco Lorenzi. Fed-ComBat: A Generalized Federated Framework for Batch Effect Harmonization in Collaborative Studies. Note: Working paper or preprint, January 2026. Keyword(s): Harmonization, federated learning, medical imaging, multi-centric data, batch effects, data privacy, ComBat.
   

   @unpublished{silva:hal-05442651,
   TITLE = {{Fed-ComBat: A Generalized Federated Framework for Batch Effect Harmonization in Collaborative Studies}},
   AUTHOR = {Silva, Santiago and Reguig, Ghiles and Oxtoby, Neil P and Altmann, Andre and Lorenzi, Marco},
   url-hal= {https://inria.hal.science/hal-05442651},
   NOTE = {working paper or preprint},
   YEAR = {2026},
   MONTH = Jan,
   KEYWORDS = {Harmonization ; federated learning ; medical imaging ; multi-centric data ; batch effects ; data privacy ; ComBat},
   PDF = {https://inria.hal.science/hal-05442651v2/file/main.pdf},
   HAL_ID = {hal-05442651},
   HAL_VERSION = {v2},
   
   }
   

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