27 citations · 53 across the 9 of their papers we have counts for
9 papers
rNCA: Self-Repairing Segmentation Masks
Malte Silbernagel, Albert Alonso, Jens Petersen +3
Accurately predicting topologically correct masks remains a difficult task for general segmentation models, which often produce fragmented or disconnected outputs. Fixing these art…
Extremal Contours: Gradient-driven contours for compact visual attribution
Reza Karimzadeh, Albert Alonso, Frans Zdyb +2
Faithful yet compact explanations for vision models remain a challenge, as commonly used dense perturbation masks are often fragmented and overfitted, needing careful post-processi…
Spline refinement with differentiable rendering
Frans Zdyb, Albert Alonso, Julius B. Kirkegaard
Detecting slender, overlapping structures remains a challenge in computational microscopy. While recent coordinate-based approaches improve detection, they often produce less accur…
Adaptive Node Positioning in Biological Transport Networks
Albert Alonso, Lars Erik J. Skjegstad, Julius B. Kirkegaard
Biological transport networks are highly optimized structures that ensure power-efficient distribution of fluids across various domains, including animal vasculature and plant vena…
Persistent pseudopod splitting is an effective chemotaxis strategy in shallow gradients
Albert Alonso, Julius B. Kirkegaard, Robert G. Endres
Single-cell organisms and various cell types use a range of motility modes when following a chemical gradient, but it is unclear which mode is best suited for different gradients.…
Local Clustering and Global Spreading of Receptors for Optimal Spatial Gradient Sensing
Albert Alonso, Robert G. Endres, Julius B. Kirkegaard
Spatial information from cell-surface receptors is crucial for processes that require signal processing and sensing of the environment. Here, we investigate the optimal placement o…
Irreversibility in Non-reciprocal Chaotic Systems
Tuan Pham, Albert Alonso, Karel Proesmans
How is the irreversibility of a high-dimensional chaotic system controlled by the heterogeneity in the non-reciprocal interactions among its elements? In this paper, we address thi…
Learning optimal integration of spatial and temporal information in noisy chemotaxis
Albert Alonso, Julius B. Kirkegaard
We investigate the boundary between chemotaxis driven by spatial estimation of gradients and chemotaxis driven by temporal estimation. While it is well known that spatial chemotaxi…
Fast spline detection in high density microscopy data
Albert Alonso, Julius B. Kirkegaard
Computer-aided analysis of biological microscopy data has seen a massive improvement with the utilization of general-purpose deep learning techniques. Yet, in microscopy studies of…