Publications of year 2024

1. Etrit Haxholli and Marco Lorenzi. On Tail Decay Rate Estimation of Loss Function Distributions. Journal of Machine Learning Research, 25(25):1-47, February 2024. Keyword(s): Extreme Value Theory, Tail Modelling, Loss Function Distributions, Peaks-Over-Threshold, Cross-Tail-Estimation, Model Ranking. [bibtex-entry]



2. Riccardo Taiello, Melek Önen, Francesco Capano, Olivier Humbert, and Marco Lorenzi. Privacy preserving image registration. Medical Image Analysis, 94, May 2024. [bibtex-entry]



3. Paul Tourniaire, Marius Ilie, Julien Mazières, Anna Vigier, François Ghiringhelli, Nicolas Piton, Jean-Christophe Sabourin, Frédéric Bibeau, Paul Hofman, Nicholas Ayache, and Hervé Delingette. WhARIO: whole-slide-image-based survival analysis for patients treated with immunotherapy. Journal of Medical Imaging, 11(03), May 2024. Keyword(s): Lung cancer LC, Whole slide image classification. [bibtex-entry]

1. Lisa Guzzi, Maria A. Zuluaga, Fabien Lareyre, Gilles Di Lorenzo, Sébastien Goffart, Andrea Chierici, Juliette Raffort, and Hervé Delingette. Differentiable Soft Morphological Filters for Medical Image Segmentation. In MICCAI 2024 - Medical Image Computing and Computer Assisted Intervention, Marrakesh, Morocco, October 2024. Keyword(s): Image Segmentation, Morphological Operations, Deep Learning. [bibtex-entry]



2. Guillaume Olikier. Retractions on closed sets. In MTNS 2024 - 26th International Symposium on Mathematical Theory of Networks and Systems, Cambridge (GB), United Kingdom, August 2024. Keyword(s): retraction, tangent cones, stationarity, line-search methods, low-rank optimization. [bibtex-entry]



3. Théodore Soulier, Mariem Hamzaoui, Milena Sales Pitombeira, Daniele De Paula Faria, Arya Yazdan-Panah, Matteo Tonietto, Claire Leroy, Michel Bottlaender, Benedetta Bodini, Ninon Burgos, Nicholas Ayache, Olivier Colliot, and Bruno Stankoff. Generating PET-derived maps of myelin content from clinical MRI using curricular discriminator training in generative adversarial networks. In SPIE Medical Imaging, San Diego, United States, February 2024. Keyword(s): Multiple Sclerosis, Magnetic Resonance Imaging, Positron Emission Tomography, Myelin, Generative Adversarial Network, Curriculum Learning, Image synthesis. [bibtex-entry]

1. Yanis Aeschlimann, Anna Calissano, Andreas Abildtrup Hansen, Théodore Papadopoulo, and Samuel Deslauriers-Gauthier. Graph matching of structural and functional brain networks. Note: Working paper or preprint, January 2024. Keyword(s): Brain connectivity, Structure-Function, Graph matching, Brain Network. [bibtex-entry]



2. Safaa Al-Ali, Maria Teresa Mora, Maxime Sermesant, Beatriz Trénor, and Irene Balelli. Assessing ion channel blockade and electromechanical biomarkers' interrelations through a novel Multi-Channel Causal Variational Autoencoder. Note: Working paper or preprint, June 2024. Keyword(s): Multi-channel, Variational auto-encoder, Torsade de pointes, Risk assesmant, Ion channel block, Electromechanical characteristics. [bibtex-entry]



3. James Benn and Stephen Marsland. The Geometry of Right-Invariant Metrics. Note: Working paper or preprint, May 2024. [bibtex-entry]



4. Anna Calissano, Luìs F Pereira, Jonas Lueg, and Nina Miolane. On the Implementation of Geodesic Metric Spaces. Note: Working paper or preprint, June 2024. Keyword(s): geodesic metric spaces, BHV space, tree-valued data, graph-valued data, geometric data analysis. [bibtex-entry]



5. Guillaume Olikier and Irène Waldspurger. Projected gradient descent accumulates at Bouligand stationary points. Note: Working paper or preprint, May 2024. Keyword(s): Projected gradient descent, Stationarity, Tangent and normal cones, Clarke regularity. [bibtex-entry]

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