On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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9 results for “Muscular Dystrophies”

A Convolutional Neural Network for the Automatic Diagnosis of Collagen VI related Muscular Dystrophiescs.CV

Paper proposes CNN for diagnosing rare muscular dystrophies from images.

problem Challenges in diagnosing rare diseases due to lack of data.

method Uses a Convolutional Neural Network (CNN) for patch-based classification of confocal microscopy images.

result CNN system identifies problematic areas and provides global patient evaluation.

Convolutional Neural Networks Muscular Dystrophies Machine Learning Rare Diseases Confocal Microscopy

2019-01-30abs ↗pdf ↗

Structured and sparse partial least squares coherence for multivariate cortico-muscular analysisstat.AP

New algorithm extracts shared latent space for cortico-muscular interactions.

problem Challenges of high dimensionality and limited sample sizes in multivariate cortico-muscular analysis.

method Structured and sparse partial least squares coherence (ssPLSC) algorithm.

result ssPLSC achieves competitive or better performance in scenarios with limited sample sizes and high noise levels.

multivariate analysis cortico-muscular interactions partial least squares sparsity connectivity

2025-03-25abs ↗pdf ↗

Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registrycs.LG

Deep learning for integrating diverse clinical measurements.

problem Combining data from different measurement instruments in longitudinal clinical registries.

method Domain adaptation using deep learning for mapping items from different instruments.

result Domain adaptation can recover latent trajectories even with limited data and misalignment.

domain adaptation longitudinal data clinical registry motor function spinal muscular atrophy (SMA)

2023-12-01abs ↗pdf ↗

Nonlinear filtering with stochastic discontinuitiesmath.PR

Extends nonlinear filtering to predictable jump times.

problem Filtering with jumps in both signal and observation, especially when jump times are known.

method Derive Kushner-Stratonovich and Zakai equations for predictable discontinuities.

result Extends classical nonlinear filtering results to a setting with predictable discontinuities.

nonlinear filtering predictable jumps Kushner-Stratonovich equations Zakai equations Kalman filtering

2026-05-12abs ↗pdf ↗

A Causal Inference Framework for Leveraging External Controls in Hybrid Trialsstat.ME

Framework for estimating treatment effects using external control data.

problem Improving efficiency in estimating average treatment effects (ATE) in hybrid trials.

method Developed a formal causal inference framework based on exchangeability assumptions and graphical criteria. Proposed estimators and efficient doubly-robust methods.

result Established finite-sample performance and demonstrated application to spinal muscular atrophy trial.

causal inference hybrid trials average treatment effect external controls doubly-robust estimation

2023-05-15abs ↗pdf ↗

Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIscs.HC

Brain-computer interfaces (BCIs) have been gaining momentum in making human-computer interaction more natural, especially for people with neuro-muscular disabilities. Among the existing solutions the systems relying on electroencephalograms (EEG) occupy the most prominent place due to their non-invasiveness. However, t…

2016-02-02abs ↗pdf ↗

Using latent representations to link disjoint longitudinal data for mixed-effects regressionstat.ML

We link disjoint longitudinal data for rare disease patients using latent representations and mixed-effects regression.

problem Analyzing treatment switches in rare diseases with limited data and changing measurement instruments.

method We embed item values into a shared latent space using variational autoencoders and apply mixed-effects regression to quantify treatment effects.

result Our approach allows for statistical inference and quantifies the impact of treatment switches in spinal muscular atrophy.

latent representations disjoint longitudinal data mixed-effects regression statistical inference rare diseases

2025-10-29abs ↗pdf ↗

Detection and Prediction of Cardiac Anomalies Using Wireless Body Sensors and Bayesian Belief Networkscs.LG

System detects and predicts cardiac anomalies from ECG data.

problem Early detection of cardiac anomalies to reduce healthcare costs and mortality.

method Discrete Wavelet Transform (DWT) and Undecimated Wavelet Transform (UWT) for feature extraction; Bayesian Network Classifier for anomaly prediction.

result Average accuracy of 96.6% for PAC, 92.8% for MI, and 87% for PVC on real ECG datasets.

Cardiac Anomalies Wireless Body Sensors Bayesian Belief Networks Electrocardiogram Discrete Wavelet Transform

2019-04-16abs ↗pdf ↗

A statistical approach to latent dynamic modeling with differential equationsstat.ME

Statistical approach uses ODEs for modeling individual health trajectories.

problem Challenges in applying ODEs to longitudinal cohort data, especially noise and parameter sensitivity.

method Combines ODEs with neural networks to model individual health trajectories using each observation as initial value.

result Demonstrates improved modeling of individual health trajectories compared to global regression.

ODEs neural networks latent space differential equations statistical modeling

2023-11-27abs ↗pdf ↗