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Artur Yakimovich

  1. Roadmap on Deep Learning for Microscopy
    2023/03/07 by Giovanni Volpe, Volpe, Giovanni, Carolina Wählby +147 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Cell Image Analysis Techniques #AI in cancer detection #Image Processing Techniques and Applications
  2. Conditional Variational Diffusion Models
    2023/12/04 by Gabriel della Maggiora, della Maggiora, Gabriel, Luis Alberto Croquevielle +8 · 2 citations
    Physics and Astronomy · #Advanced X-ray Imaging Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network
    2024/07/03 by Rui Li, Li, Rui, Mikhail Kudryashev +3 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #I.4 #J.3 #Neural Networks and Applications #Quantitative Methods (q-bio.QM) #Thermography and Photoacoustic Techniques
  4. Heterogeneity of tumor biophysical properties and their potential role as prognostic markers
    2024/11/29 by Anja Madleine Markl, Daniel Nieder, Markl, Anja Madleine +15 · 1 voice · 1 citation
    Biochemistry, Genetics and Molecular Biology · Chemistry · #Biological Physics (physics.bio-ph) #FOS: Biological sciences #FOS: Physical sciences #Tissues and Organs (q-bio.TO)
  5. Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects
    2025/04/16 by Trina De, De, Trina, A Urbanski +3 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #AI in cancer detection #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Holography and Microscopy #FOS: Biological sciences #FOS: Computer and information sciences #I.4 #J.3 #Quantitative Methods (q-bio.QM)
  6. Noise-Robust Conditional Flow Matching: Generating Clean Samples from Noisy Datasets
    2026/07/28 by Adrian Urbański, Gabriel della Maggiora, Artur Yakimovich
    Computer Science · #cs.CV #msc:68T07 #msc:68U10 #msc:62M45 #msc:94A08 #msc:62H35 #acm:68T07 #acm:68U10 #acm:62M45 #acm:94A08 #acm:62H35