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Küchlin, Sebastian; Ihorst, Gabriele; Heinrich, Sven P; Márquez Neila, Pablo; Albrecht, Philipp; Hug, Martin J; Lagrèze, Wolf A (2024). Visual Pathway Outcomes Based on Sample Size in Clinical Neuroprotection Research. JAMA neurology, 81(5), pp. 553-554. American Medical Association 10.1001/jamaneurol.2024.0462
Küchlin, Sebastian; Ihorst, Gabriele; Heinrich, Sven P; Márquez Neila, Pablo; Albrecht, Philipp; Hug, Martin J; Diem, Ricarda; Lagrèze, Wolf A (2024). Disease Course of Clinically Isolated Optic Neuritis. Neurology: Neuroimmunology and Neuroinflammation, 11(3) Wolters Kluwer Health 10.1212/NXI.0000000000200223
Doorenbos, Lars; Márquez Neila, Pablo; Sznitman, Raphael; Mettes, Pascal (2024). Hyperbolic Random Forests. Transactions on machine learning research, 2024(05) OpenReview.net
Christ, Merlin; Habra, Oussama; Monnin, Killian; Vallotton, Kevin; Sznitman, Raphael; Wolf, Sebastian; Zinkernagel, Martin; Márquez Neila, Pablo (2024). Deep Learning-Based Automated Detection of Retinal Breaks and Detachments on Fundus Photography. Translational vision science & technology, 13(4) Association for Research in Vision and Ophthalmology 10.1167/tvst.13.4.1
Tascon Morales, Sergio; Márquez Neila, Pablo; Sznitman, Raphael (2024). Targeted Visual Prompting for Medical Visual Question Answering (Submitted). In: The Third Workshop on Applications of Medical AI (AMAI). Marrakesh, Morocco. October 6 , 2024.
Gamazo Tejero, Javier; Márquez Neila, Pablo; Kurmann, Thomas Kevin; Gallardo, Mathias; Zinkernagel, Martin; Wolf, Sebastian; Sznitman, Raphael (2023). Predicting OCT biological marker localization from weak annotations. Scientific Reports, 13(1), p. 19667. Nature Publishing Group 10.1038/s41598-023-47019-6
Sampaio, Paulo; Lopez-Antuña, Maria; Storni, Federico; Wicht, Jonatan; Sökeland, Greta; Wartenberg, Martin; Márquez Neila, Pablo; Candinas, Daniel; Demory, Brice-Olivier; Perren, Aurel; Sznitman, Raphael (2023). Müller matrix polarimetry for pancreatic tissue characterization. Scientific Reports, 13(1), p. 16417. Nature Publishing Group 10.1038/s41598-023-43195-7
Gamazo Tejero, Javier; Zinkernagel, Martin S.; Wolf, Sebastian; Sznitman, Raphael; Márquez Neila, Pablo (18 June 2023). Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns. In: 2023 IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) (pp. 11381-11391). IEEE 10.1109/CVPR52729.2023.01095
Gamazo Tejero, Angel Javier; Márquez Neila, Pablo; Kurmann, Thomas Kevin; Gallardo, Mathias; Zinkernagel, Martin Sebastian; Wolf, Sebastian; Sznitman, Raphael (February 2023). Deep-learning model to localize biological markers on OCT volumes from weak annotations (Submitted). In: ARVO Anual Meeting 2023.
Otesteanu, Corin F.; Robledo, Lucio; Zinkernagel, Martin; Sznitman, Raphael; Márquez Neila, Pablo (6 January 2023). Retinal image registration approach in optical coherence tomography and fluorescence imaging (In Press). Investigative ophthalmology & visual science. Association for Research in Vision and Ophthalmology
Zbinden, Lukas; Doorenbos, Lars; Pissas, Theodoros; Huber, Adrian Thomas; Sznitman, Raphael; Márquez Neila, Pablo (2023). Stochastic Segmentation with Conditional Categorical Diffusion Models. In: International Conference on Computer Vision (ICCV) 2023. arxiv. Cornell University 10.48550/arXiv.2303.08888
Doorenbos, Lars Jelte; Sznitman, Raphael; Márquez Neila, Pablo (6 May 2022). Learning non-linear invariants for unsupervised out-of-distribution detection (Unpublished). In: Bern Data Science Day 2022. University of Bern. 06 May 2022.
Dotti, Prisca; Márquez Neila, Pablo; Fernandez-Tenorio, Miguel; Janicek, Radoslav; Wullschleger, Marcel; Meyer zu Westram, Till; Sznitman, Raphael; Egger, Marcel (May 2022). Detection and Classification of Local Ca²⁺ Release Events in Cardiomyocytes Using 3D-UNet Neural Network (Unpublished). In: Bern Data Science Day 2022.
Doorenbos, Lars Jelte; Sznitman, Raphael; Márquez Neila, Pablo (2022). SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes. In: MICCAI 2021: Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis. Proceedings. Lecture Notes in Computer Science: Vol. 13166 (pp. 111-118). Cham: Springer 10.1007/978-3-030-97281-3_17
Marafioti, Andrés; Hayoz, Michel; Gallardo, Mathias; Márquez Neila, Pablo; Wolf, Sebastian; Zinkernagel, Martin; Sznitman, Raphael (September 2021). CataNet: Predicting remaining cataract surgery duration. In: MICCAI 2021, 24th International Conference on Medical Image Computing and Computer Assisted Intervention. Lecture Notes in Computer Science: Vol. 12904 (pp. 426-435). Springer 10.1007/978-3-030-87202-1_41
Guzmán-Mesa, Andrea; Kitzmann, Daniel; Fisher, Chloe Elizabeth; Burgasser, Adam J.; Hoeijmakers, H. Jens; Márquez Neila, Pablo; Grimm, Simon L.; Mandell, Avi M.; Sznitman, Raphael; Heng, Kevin (2020). Information Content of JWST NIRSpec Transmission Spectra of Warm Neptunes. The astronomical journal, 160(1), p. 15. American Astronomical Society 10.3847/1538-3881/ab9176
Kucur, Serife Seda; Márquez Neila, Pablo; Abegg, Mathias; Sznitman, Raphael (2019). Patient-attentive sequential strategy for perimetry-based visual field acquisition. Medical image analysis, 54, pp. 179-192. Elsevier 10.1016/j.media.2019.03.002
Márquez Neila, Pablo; Fisher, Chloe Elizabeth; Sznitman, Raphael; Heng, Kevin (2018). Supervised machine learning for analysing spectra of exoplanetary atmospheres. Nature astronomy, 2(9), pp. 719-724. Nature Publishing Group 10.1038/s41550-018-0504-2
