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Chun Hei Michael Chan

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Related publications (4)

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Hilbert Transform on Graphs: Let There Be Phase

Dimitri Nestor Alice Van De Ville, Alexandre Cionca, Chun Hei Michael Chan

In the past years, many signal processing operations have been successfully adapted to the graph setting. One elegant and effective approach is to exploit the eigendecomposition of a graph shift operator (GSO), such as the adjacency or Laplacian operator, ...

IEEE Institute of Electrical and Electronics Engineers2025

A convolutional neural network segments yeast microscopy images with high accuracy

Matthias Minder, Anne-Florence Raphaëlle Bitbol, Martin Weigert, Sahand Jamal Rahi, Mateusz Kozinski, Vojislav Gligorovski, Nicola Dietler, Chun Hei Michael Chan, Denis Alain Henri Lucien Joly, Ahmad Sadeghi, Augoustina Maria Economou

The identification of cell borders ('segmentation') in microscopy images constitutes a bottleneck for large-scale experiments. For the model organism Saccharomyces cerevisiae, current segmentation methods face challenges when cells bud, crowd, or exhibit i ...

Nature Research2020

Community detection for directed networks revisited using bimodularity

Dimitri Nestor Alice Van De Ville, Alexandre Cionca, Chun Hei Michael Chan

Community structure is a key feature omnipresent in real-world network data. Plethora of methods have been proposed to reveal subsets of densely interconnected nodes using criteria such as the modularity index. These approaches have been successful for und ...

Proceedings of the National Academy of Sciences2025

Digital, Analog, or Hybrid: Comparing Strategies to Support Self-Reflection

Chun Hei Michael Chan

Recently, various digital solutions have emerged to enhance the process of self-refection, which can be crucial for personal growth and resilience. However, whether technology can meaningfully match or augment a traditional approach like pen or paper remai ...

Association for Computing Machinery, Inc2024