Pape, Constantin

Authors Do TT, Siegert A, Domart F, Hahn F, Zeising C, Muth S, Pape C, Kusch K, Dresbach T, Rizzoli SO, Petrovic A, Fernández-Busnadiego R Journal Structure Citation Structure. 2026 Mar 24:S0969-2126(26)00059-6. Abstract Despite decades of intense research, the molecular organization of the synapse is not well understood. To address

Authors Teuber C, Archit A, Boothe T, Ditte P, Rink J, Pape C Journal Arxiv Citation arXiv:2603.19802. Abstract Deep learning underlies most modern approaches and tools in computer vision, including biomedical imaging. However, for interactive semantic segmentation (often called pixel classification in this context) and interactive object-level classification (object classification),

Authors Archit A, Pape C Journal Arxiv Citation arXiv:2603.17845. Abstract Cell segmentation is a fundamental task in microscopy image analysis. Several foundation models for cell segmentation have been introduced, virtually all of them are extensions of Segment Anything Model (SAM), improving it for microscopy data. Recently, SAM2 and SAM3 have

Authors Dvoretskii S, Archit A, Pape C, Moore J, Nolden M Journal Arxiv Citation arXiv:2512.15820. Abstract Modern bioimage analysis approaches are data hungry, making it necessary for researchers to scavenge data beyond those collected within their (bio)imaging facilities. In addition to scale, bioimaging datasets must be accompanied with suitable, high-quality

Authors Archit A, Freckmann L, Pape C Journal IEEE Transactions on Medical Imaging Citation IEEE Trans Med Imaging. 2025 Dec 17;PP. Abstract Medical image segmentation is an important analysis task in clinical practice and research. Deep learning has massively advanced the field, but current approaches are mostly based on models

Authors Roos L, Meric Diniz A, Koert E, Schilling M, Uhl M, Thirumalai A, Aakhte M, Kusch K, Huisken J, Moser T, Pape C Journal BioRxiv Citation bioRxiv 2025.11.16.688700. Abstract With the emergence of gene and optogenetic therapies targeting deafness, the comprehensive analysis of the molecular anatomy and physiology of

Authors Chen H, Cretu C, Trebilcock A, Evdokimova N, Babai N, Feldmann L, Leidner F, Benseler F, Mutschall S, Esch K, Szabo CZK, Pena V, Pape C, Grubmüller H, Strenzke N, Brose N, Wichmann C, Preobraschenski J, Moser T Journal Sciende Advances Citation Sci Adv. 2025 Oct 17;11(42):eady8532. Abstract Hearing

Authors Muth S, Moschref F, Freckmann L, Mutschall S, Hojas-Garcia-Plaza I, Bahr JN, Petrovic A, Do TT, Schwarze V, Archit A, Weyand K, Michanski S, Maus L, Imig C, Hintze A, Brose N, Wichmann C, Fernandez-Busnadiego R, Moser T, Rizzoli SO, Cooper BH, Pape C Journal Molecular Biology of the

Authors Harland LTG, Lohoff T, Koulena N, Pierson N, Pape C, Ameen F, Griffiths J, Theeuwes B, Wilson NK, Kreshuk A, Reik W, Nichols J, Cai L, Marioni JC, Göttgens B, Ghazanfar S Journal Cell Reports Citation Cell Rep. 2025 Aug 26;44(8):116047. Abstract During gastrulation, mouse epiblast cells form the

Authors Chouaib AA, Chang HF, Khamis OM, Alawar N, Echeverry S, Demeersseman L, Elizarova S, Daniel JA, Tian Q, Lipp P, Fornasiero EF, Valitutti S, Barg S, Pape C, Shaib AH, Becherer U Journal Nature Communications Citation Nat Commun. 2025 Jul 12;16(1):6450. Abstract Activity recognition in live-cell imaging is labor-intensive