collaborators

6 papers

cs.CV2025

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…

physics.bio-ph2025

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…

eess.IV2025

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…

physics.bio-ph2024

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…

physics.bio-ph2024

Modeling Full-Scale Leaf Venation Networks

Lars Erik J. Skjegstad, Julius B. Kirkegaard

The vascular network of leaves, comprising xylem and phloem, is a highly optimized system for the delivery of water, nutrients, and sugars. The design rules for these naturally occ…

q-bio.CB2024

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.…