Dr. Philippe Valmaggia
Philippe Valmaggia studied Medicine in Basel, Paris and Oxford and obtained his Swiss medical diploma in 2020. In parallel, he followed the MSc programme in Biomedical Engineering at the University of Basel and also graduated in 2020. During his studies, he gained work experience as an intern in basic neuroscience research at the Department of Biomedicine in Basel, as a data processor for a clinical trial in Senegal and as a healthcare assistant at various University hospitals. He is interested in all aspects of translational medicine, literally from bench to bedside.
In 2021, he started his MD-PhD project during which developed a method to acquire dynamic OCT acquisitions with a device that is routinely used in clinical practice. This allowed for a time-resolved estimation of retinal blood flow velocity profiles going beyond current static analyses of OCT data in clinics. Further, he coupled an electrocardiogram an electrocardiogram to the OCT device which allowed for synchronised acquisition of eye and heart data and a calculation the propagation time of the blood pulse. This propagation time was denominated as the “heart-retina time” and presented as a novel biomarker for cardiovascular health.
This interdisciplinary research took place at CIAN at the Department of Biomedical Engineering (DBE) and the Ophthalmic Imaging Group of the Institute of molecular and clinical Ophthalmology Basel (IOB). His project was funded by the Swiss National Science Foundation within the National MD-PhD Program. After successfully defending his PhD in 2024, he started his residency in Ophthalmology at the Eye Clinic of the University Hospital Basel and continues to work with the CIAN group.
Email: philippe.valmaggia@unibas.ch
1. de Vente C, Islam MM, Valmaggia P, Hoyng C, Tufail A, Sánchez CI. Conditioning 3D Diffusion Models with 2D Images: Towards Standardized OCT Volumes through En Face-Informed Super-Resolution. Published online October 13, 2024. Accessed November 5, 2024. https://arxiv.org/abs/2410.09862v1
2. Valmaggia P, Wolleb J, Bieder F, Scholl HPN, Cattin PC, Maloca PM. Heart-retina time analysis using electrocardiogram-coupled time-resolved dynamic optical coherence tomography. medRxiv. Published online July 15, 2024:2024.07.15.24310387. doi:10.1101/2024.07.15.24310387
3. Prétot D, della Volpe Waizel M, Kaminska K, Valmaggia P, Placidi G, Falsini B, Fries FN, Szentmáry N, Rivolta C, Scholl HPN, Calzetti G. Retinal oxygen metabolic function in choroideremia and retinitis pigmentosa. Graefe’s Archive for Clinical and Experimental Ophthalmology. Published online October 12, 2024:1-7. doi:10.1007/S00417-024-06659-8/FIGURES/2
4. de Vente C, Valmaggia P, Hoyng CB, Holz FG, Islam MM, Klaver CCW, Boon CJF, Schmitz-Valckenberg S, Tufail A, Saßmannshausen M, Sánchez CI. Generalizable Deep Learning for the Detection of Incomplete and Complete Retinal Pigment Epithelium and Outer Retinal Atrophy: A MACUSTAR Report. Transl Vis Sci Technol. 2024;13(9):11-11. doi:10.1167/TVST.13.9.11
5. Valmaggia P, Cattin PC, Sandkühler R, Inglin N, Otto TP, Aumann S, Teussink MM, Spaide RF, Scholl HPN, Maloca PM. Time-Resolved Dynamic Optical Coherence Tomography for Retinal Blood Flow Analysis. Invest Ophthalmol Vis Sci. 2024;65(6):9-9. doi:10.1167/IOVS.65.6.9
6. Ansari G, Schärer N, Camenzind Zuche H, Gabrani C, Anders P, Pfau K, Valmaggia P, Giani A, Esmaeelpour M, Chingning Yamaguchi T, Prünte CF, Maloca PM, Schmetterer L, Scholl HPN, Pfau M. The Optical Coherence Tomography and Microperimetry Biomarker Evaluation in Patients with Geographic Atrophy (OMEGA) Study: Design and Baseline Characteristics – OMEGA Report 1. Ophthalmic Research. 2023;66(1):1392-1401. doi:10.1159/000535375
7. Maloca PM, Pfau M, Janeschitz‐Kriegl L, Reich M, Goerdt L, Holz FG, Müller PL, Valmaggia P, Fasler K, Keane PA, Zarranz‐Ventura J, Zweifel S, Wiesendanger J, Kaiser P, Enz TJ, Rothenbuehler SP, Hasler PW, Juedes M, Freichel C, Egan C, Tufail A, Scholl HPN, Denk N. Human selection bias drives the linear nature of the more ground truth effect in explainable deep learning optical coherence tomography image segmentation. Journal of Biophotonics. Published online October 5, 2023. doi:10.1002/JBIO.202300274
8. Maloca PM, Zarranz-Ventura J, Valmaggia P, Faludi B, Zelechowski M, Tufail A, Zentai NZ, Scholl HPN, Cattin PC. Validation of collaborative cyberspace virtual reality oculometry enhanced with near real-time spatial audio. Scientific reports. 2023;13(1):10076. doi:10.1038/s41598-023-37267-x
9. Denk N, Freichel C, Valmaggia P, Inglin N, Scholl HPN, Kaiser P, Wise S, Vezina M, Maloca PM. Cynomolgus monkey’s retina volume reference database based on hybrid deep learning optical coherence tomography segmentation. Scientific reports. 2023;13(1):5797. doi:10.1038/s41598-023-32739-6
10. Valmaggia P, Inglin N, Kaiser P, Scholl HPN, Maloca PM. Iris Color Matters—A Contractility Analysis With Dynamic Volume-Rendered Optical Coherence Tomography Pupillometry. Translational Vision Science and Technology. 2022;11(11). doi:10.1167/tvst.11.11.6
11. Valmaggia P, Friedli P, Hörmann B, Kaiser P, Scholl HPN, Cattin PC, Sandkühler R, Maloca PM. Feasibility of Automated Segmentation of Pigmented Choroidal Lesions in OCT Data With Deep Learning. Translational Vision Science & Technology. 2022;11(9):25-25. doi:10.1167/TVST.11.9.25
12. Maloca PM, Valmaggia P, Hartmann T, Juedes M, Hasler PW, Scholl Id HPN, Denk N. Volumetric subfield analysis of cynomolgus monkey’s choroid derived from hybrid machine learning optical coherence tomography segmentation. Lewin AS, ed. PLOS ONE. 2022;17(9):e0275050. doi:10.1371/JOURNAL.PONE.0275050
13. Maloca PM, Freichel C, Hänsli C, Valmaggia P, Müller PL, Zweifel S, Seeger C, Inglin N, Scholl HPN, Denk N. Cynomolgus monkey’s choroid reference database derived from hybrid deep learning optical coherence tomography segmentation. Lewin AS, ed. Scientific Reports. 2022;12(1):e0275050. doi:10.1038/s41598-022-17699-7
14. Spaide RF, Valmaggia P, Maloca PM. IMAGING the VITREOUS with A NOVEL BOOSTED OPTICAL COHERENCE TOMOGRAPHY TECHNIQUE: Posterior Vitreous Detachment. Retina. 2022;42(8):1425-1432. doi:10.1097/IAE.0000000000003500
15. Spaide RF, Valmaggia P, Maloca PM, Scholl HPN, Otto TP, Caujolle S. Imaging the vitreous with a novel boosted optical coherence tomography technique: Vitreous degeneration and cisterns. Retina. 2022;42(8):1433-1441. doi:10.1097/IAE.0000000000003474
16. Maloca PM, Feu-Basilio S, Schottenhamml J, Valmaggia P, Scholl HPN, Rosinés-Fonoll J, Marin-Martinez S, Inglin N, Reich M, Lange C, Egan C, Zweifel S, Tufail A, Spaide RF, Zarranz-Ventura J. Reference database of total retinal vessel surface area derived from volume-rendered optical coherence tomography angiography. Sci Rep. 2022;12(1). doi:10.1038/s41598-022-07439-2
17. Okada M, Egan CA, Heeren TFC, Valmaggia P, Tufail A, Maloca PM. State of the art spatial visualization of the response of neovascularissation to anti-vascular endothelial growth factor therapy. American Journal of Ophthalmology Case Reports. 2022;25:101267. doi:10.1016/j.ajoc.2022.101267
18. Wolleb J, Sandkühler R, Bieder F, Valmaggia P, Cattin PC. Diffusion Models for Implicit Image Segmentation Ensembles. Proceedings of Machine Learning Research. Published online June 22, 2022.
19. Maloca PM, de Carvalho ER, Hasler PW, Balaskas K, Inglin N, Petzold A, Egan C, Tufail A, Scholl HPN, Valmaggia P. Dynamic volume-rendered optical coherence tomography pupillometry. Acta Ophthalmologica. Published online 2021. doi:10.1111/aos.15063
20. Maloca PM, Seeger C, Booler H, Valmaggia P, Kawamoto K, Kaba Q, Inglin N, Balaskas K, Egan C, Tufail A, Scholl HPN, Hasler PW, Denk N. Uncovering of intraspecies macular heterogeneity in cynomolgus monkeys using hybrid machine learning optical coherence tomography image segmentation. Scientific Reports. 2021;11(1):1-15. doi:10.1038/s41598-021-99704-z
21. Bourqui A, Niang EHAB, Graz B, Diop EHA, Dahaba M, Thiaw I, Soumare K, Valmaggia P, Nogueira RC, Cavin AL, Al-Anbaki M, Seck SM. Hypertension treatment with Combretum micranthum or Hibiscus sabdariffa, as decoction or tablet: a randomized clinical trial. Journal of Human Hypertension. Published online 2020. doi:10.1038/s41371-020-00415-1