4 papers
CurvSegFlow: Time-Conditioned Flow Matching for Robust Segmentation of Curvilinear Structures in Noisy Biomedical Images
Sidi Mohamed Sid'El Moctar, Achraf Ait Laydi, Alexandre Beber +4
Accurate segmentation of curvilinear structures remains challenging in biomedical imaging due to their thin geometry, complex topology, and sensitivity to noise. This is particular…
MTCurv: Deep learning for direct microtubule curvature mapping in noisy fluorescence microscopy images
Achraf Ait Laydi, Sidi Mohamed Sid'El Moctar, Yousef El Mourabit +1
Accurate quantification of the geometry of curvilinear biological structures is essential for understanding cellular mechanics and disease-related morphological alterations. Microt…
A novel attention mechanism for noise-adaptive and robust segmentation of microtubules in microscopy images
Achraf Ait Laydi, Louis Cueff, Mewen Crespo +2
Segmenting cytoskeletal filaments in microscopy images is essential for studying their roles in cellular processes. However, this task is highly challenging due to the fine, densel…
MTFlow: Time-Conditioned Flow Matching for Microtubule Segmentation in Noisy Microscopy Images
Sidi Mohamed Sid El Moctar, Achraf Ait Laydi, Yousef El Mourabit +1
Microtubules are cytoskeletal filaments that play essential roles in many cellular processes and are key therapeutic targets in several diseases. Accurate segmentation of microtubu…