mlsanityData to 14 Oct 2026

Improving Brain Disorder Diagnosis with Advanced Brain Function Representation and Kolmogorov-Arnold Networks

arXiv 2504.03923 ↗First posted 4 Apr 2025cs.CVcited by 1

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Abstract (arXiv)

Quantifying functional connectivity (FC), a vital metric for the diagnosis of various brain disorders, traditionally relies on the use of a pre-defined brain atlas. However, using such atlases can lead to issues regarding selection bias and lack of regard for specificity. Addressing this, we propose a novel transformer-based classification network (ABFR-KAN) with effective brain function representation to aid in diagnosing autism spectrum disorder (ASD). ABFR-KAN leverages Kolmogorov-Arnold Network (KAN) blocks replacing traditional multi-layer perceptron (MLP) components. Thorough experimentation reveals the effectiveness of ABFR-KAN in improving the diagnosis of ASD under various configurations of the model architecture. Our code is available at https://github.com/tbwa233/ABFR-KAN

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 9 of its 32 references that are in the map. First posted on arXiv 4 Apr 2025.

Builds on

9 of 32 references.

References · 9

  1. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  2. 2017Graph Attention Networkscited by 8,923
  3. 2020Training data-efficient image transformers & distillation through attentioncited by 4,586
  4. 2024KAN: Kolmogorov-Arnold Networkscited by 649
  5. 2024Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximationcited by 118
  6. 2024Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Taskscited by 40
  7. 2024Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusioncited by 6
  8. 2024CEST-KAN: Kolmogorov-Arnold Networks for CEST MRI Data Analysiscited by 2
  9. 20242D and 3D Deep Learning Models for MRI-based Parkinson's Disease Classification: A Comparative Analysis of Convolutional Kolmogorov-Arnold Networks, Convolutional Neural Networks, and Graph Convolutional Networkscited by 1

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Citing papers per year: 2026: 1.

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  1. 2026ABFR-KAN: Kolmogorov-Arnold Networks for Functional Brain Analysiscited by 0