bioRxiv

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Dual-Field Microvascular Segmentation: Hemodynamically-Consistent Attention Learning for Retinal Vasculature Mapping

bioRxiv Jan 1, 2025
Accurate retinal Microvascular segmentation demands a balanced combination of anatomical fidelity and hemodynamic relevance. However, existing methods fall short in preserving critical structures such as capillary junctions and bifurcations, thus lim...
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Exploring brain lobe-specific insights in an explainable framework for EEG-based schizophrenia detection

bioRxiv Jan 1, 2025
Schizophrenia (ScZ) is a growing global health concern that affects millions of people and puts severe pressure on healthcare systems. Early detection and accurate diagnosis are crucial for adequate management. Electroencephalography (EEG) has evolve...
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skiftiTools: An R package for reading, writing, analysing, and visualising, tract-based spatial statistics (TBSS) derived diffusion MR images

bioRxiv Jan 1, 2025
skiftiTools processes three- and four-dimensional neuroimaging data, facilitating advanced statistical modelling with voxelwise data in any software of choice. Tract-Based Spatial Statistics (TBSS) is a conventionally used tool to make statistical ca...
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Learning the DNA syntax of human microbiomes to infer health and disease

bioRxiv Jan 1, 2025
The human microbiome is a key factor in human health and alterations in community structure are associated with diverse pathological conditions. However, defining universal criteria to distinguish healthy from altered microbiome configurations remain...
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Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs

bioRxiv Jan 1, 2025
Generative models trained on antibody sequences and structures have shown great potential in advancing machine learning-assisted antibody engineering and drug discovery. Current state-of-the-art models are primarily evaluated using two categories of ...
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PlanktonFlow : hands-on deep-learning classification of plankton images for biologists

bioRxiv Jan 1, 2025
High-resolution biodiversity monitoring is crucial to understand the complex dynamics of ecosystems. High throughput image-acquisition devices now provide biologists with a wealth of data, but mainstream, automated image-classification workflows are ...
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Inference over hidden contexts shapes the geometry of conceptual knowledge for flexible behaviour

bioRxiv Jan 1, 2025
Flexible decision-making in uncertain environments requires inferring latent structure and selecting behaviourally relevant information. Here, we tested the hypothesis that internal models support this process by compressing high-dimensional input in...
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End-to-end evaluation of white matter microstructure of the visual pathway in asymmetric glaucoma

bioRxiv Jan 1, 2025
Diffusion magnetic resonance imaging is a non-invasive neuroimaging technique that enables in vivo evaluation of white matter microstructure, providing sensitivity to tissue abnormalities caused by disease. Glaucoma, the second leading cause of blind...
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Symmetries and Continuous Attractors in Disordered Neural Circuits

bioRxiv Jan 1, 2025
A major challenge in neuroscience is reconciling idealized theoretical models with complex, heterogeneous experimental data. We address this challenge through continuous-attractor networks, which model how neural circuits represent continuous variabl...
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GREmLN: A Cellular Graph Structure Aware Transcriptomics Foundation Model

bioRxiv Jan 1, 2025
The ever-increasing availability of large-scale single-cell profiles presents an opportunity to develop foundation models to capture cell properties and behavior. However, standard language models such as transformers benefits from sequentially struc...
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