Márquez Neila, Pablo

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2024

Dotti, Prisca; Fernandez-Tenorio, Miguel; Janicek, Radoslav; Márquez-Neila, Pablo; Wullschleger, Marcel; Sznitman, Raphael; Egger, Marcel (2024). A deep learning-based approach for efficient detection and classification of local Ca²⁺ release events in Full-Frame confocal imaging. Cell calcium, 121 Elsevier 10.1016/j.ceca.2024.102893

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

2023

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

Jungo, Alain; Doorenbos, Lars; Da Col, Tommaso; Beelen, Maarten; Zinkernagel, Martin; Márquez-Neila, Pablo; Sznitman, Raphael (2023). Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery. International journal of computer assisted radiology and surgery, 18(6), pp. 1085-1091. Springer 10.1007/s11548-023-02909-y

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

Tascon-Morales, Sergio; Márquez-Neila, Pablo; Sznitman, Raphael (2023). Logical Implications for Visual Question Answering Consistency. In: IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR). Vancouver. Jun 18-22, 2023.

Tascon-Morales, Sergio; Márquez-Neila, Pablo; Sznitman, Raphael (2023). Localized Questions in Medical Visual Question Answering. In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science: Vol. 14221 (pp. 361-370). Springer 10.1007/978-3-031-43895-0_34

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

Ghamsarian, Negin; Gamazo Tejero, Javier; Márquez-Neila, Pablo; Wolf, Sebastian; Zinkernagel, Martin; Schoeffmann, Klaus; Sznitman, Raphael (2023). Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. Lecture Notes in Computer Science: Vol. 14220 (pp. 331-341). Springer 10.1007/978-3-031-43907-0_32

2022

Doorenbos, Lars; Cavuoti, Stefano; Longo, Giuseppe; Brescia, Massimo; Sznitman, Raphael; Márquez-Neila, Pablo (3 December 2022). Generating astronomical spectra from photometry with conditional diffusion models (In Press). In: Machine Learning and the Physical Sciences.

Doorenbos, Lars; Sznitman, Raphael; Márquez-Neila, Pablo (October 2022). Data Invariants to Understand Unsupervised Out-of-Distribution Detection (In Press). In: European conference on computer vision.

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

Tascon-Morales, Sergio; Márquez-Neila, Pablo; Sznitman, Raphael (2022). Consistency-preserving Visual Question Answering in Medical Imaging. Lecture notes in computer science, 13438, pp. 386-395. Springer 10.1007/978-3-031-16452-1_37

Doorenbos, Lars Jelte; Torbaniuk, Olena; Cavuoti, Stefano; Paolillo, Maurizio; Longo, Giuseppe; Brescia, Massimo; Sznitman, Raphael; Márquez-Neila, Pablo (2022). ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection. Astronomy and astrophysics, 666, A171. EDP Sciences 10.1051/0004-6361/202243900

2021

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

Kurmann, Thomas; Márquez-Neila, Pablo; Allan, Max; Wolf, Sebastian; Sznitman, Raphael (2021). Mask then classify: multi-instance segmentation for surgical instruments. International journal of computer assisted radiology and surgery, 16(7), pp. 1227-1236. Springer 10.1007/s11548-021-02404-2

Munk, Marion R.; Kurmann, Thomas; Márquez-Neila, Pablo; Zinkernagel, Martin S.; Wolf, Sebastian; Sznitman, Raphael (2021). Assessment of patient specific information in the wild on fundus photography and optical coherence tomography. Scientific reports, 11(1), p. 8621. Springer Nature 10.1038/s41598-021-86577-5

2020

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

Fisher, Chloe; Hoeijmakers, H. Jens; Kitzmann, Daniel; Márquez-Neila, Pablo; Grimm, Simon L.; Sznitman, Raphael; Heng, Kevin (3 March 2020). Interpreting High-Resolution Spectroscopy of Exoplanets Using Cross-Correlations and Supervised Machine Learning (arXiv). Cornell University

Oreshenko, Maria; Kitzmann, Daniel; Márquez-Neila, Pablo; Malik, Matej; Bowler, Brendan P.; Burgasser, Adam J.; Sznitman, Raphael; Fisher, Chloe E.; Heng, Kevin (2020). Supervised Machine Learning for Intercomparison of Model Grids of Brown Dwarfs: Application to GJ 570D and the Epsilon Indi B Binary System. The astronomical journal, 159(1), p. 6. American Astronomical Society 10.3847/1538-3881/ab5955

2019

Kurmann, Thomas; Yu, Siqing; Márquez-Neila, Pablo; Ebneter, Andreas; Zinkernagel, Martin; Munk, Marion R.; Wolf, Sebastian; Sznitman, Raphael (2019). Expert-level Automated Biomarker Identification in Optical Coherence Tomography Scans. Scientific reports, 9(1), p. 13605. Springer Nature 10.1038/s41598-019-49740-7

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

Kurmann, Thomas Kevin; Márquez-Neila, Pablo; Yu, Siqing; Munk, Marion; Wolf, Sebastian; Sznitman, Raphael (2019). Fused Detection of Retinal Biomarkers in OCT Volumes. In: Shen, Dinggang; Liu, Tianming; Peters, Terry M.; Staib, Lawrence H.; Essert, Caroline; Zhou, Sean; Yap, Pew-Thian; Khan, Ali (eds.) MICCAI 2019. Lecture Notes in Computer Science: Vol. 11764 (pp. 255-263). Cham: Springer International Publishing 10.1007/978-3-030-32239-7_29

Kurmann, Thomas; Márquez-Neila, Pablo; Wolf, Sebastian; Sznitman, Raphael (2019). Deep Multi-label Classification in Affine Subspaces. In: Shen, Dinggang; Liu, Tianming; Peters, Terry M.; Staib, Lawrence H.; Essert, Caroline; Zhou, Sean; Yap, Pew-Thian; Khan, Ali (eds.) MICCAI 2019. Lecture Notes in Computer Science: Vol. 11764 (pp. 165-173). Cham: Springer International Publishing 10.1007/978-3-030-32239-7_19

Márquez-Neila, Pablo; Sznitman, Raphael (2019). Image Data Validation for Medical Systems. In: Shen, Dinggang; Liu, Tianming; Peters, Terry M.; Staib, Lawrence H.; Essert, Caroline; Zhou, Sean; Yap, Pew-Thian; Khan, Ali (eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Lecture Notes in Computer Science: Vol. 11767 (pp. 329-337). Cham: Springer 10.1007/978-3-030-32251-9_36

2018

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

2017

Kurmann, Thomas Kevin; Màrquez Neila, Pablo; Du, Xiaofei; Fua, Pascal; Stoyanov, Danail; Wolf, Sebastian; Sznitman, Raphael (18 October 2017). Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery. In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science: Vol. 10434 (pp. 505-513). Springer 10.1007/978-3-319-66185-8_57

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