73 citations · 190 across the 13 of their papers we have counts for
6 papers · 1 filter
Large-scale kernelized GRANGER causality to infer topology of directed graphs with applications to brain networks
M. Ali Vosoughi, Axel Wismuller
Graph topology inference of network processes with co-evolving and interacting time-series is crucial for network studies. Vector autoregressive models (VAR) are popular approaches…
Tracking Results and Utilization of Artificial Intelligence (tru-AI) in Radiology: Early-Stage COVID-19 Pandemic Observations
Axel Wismüller, Larry Stockmaster
Objective: To introduce a method for tracking results and utilization of Artificial Intelligence (tru-AI) in radiology. By tracking both large-scale utilization and AI results data…
Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data
Axel Wismüller, Adora M. DSouza, Anas Z. Abidin
To gain insight into complex systems it is a key challenge to infer nonlinear causal directional relations from observational time-series data. Specifically, estimating causal rela…
Automated Identification of Thoracic Pathology from Chest Radiographs with Enhanced Training Pipeline
Adora M. DSouza, Anas Z. Abidin, Axel Wismüller
Chest x-rays are the most common radiology studies for diagnosing lung and heart disease. Hence, a system for automated pre-reporting of pathologic findings on chest x-rays would g…
A Prospective Randomized Clinical Trial for Measuring Radiology Study Reporting Time on Artificial Intelligence-Based Detection of Intracranial Hemorrhage in Emergent Care Head CT
Axel Wismüller, Larry Stockmaster
We propose Artificial Intelligence Prospective Randomized Observer Blinding Evaluation (AI-PROBE) for quantitative clinical performance evaluation of radiology AI systems within pr…
Using anisotropic 3D Minkowski functionals for trabecular bone characterization and biomechanical strength prediction in proximal femur specimens
Mahesh B. Nagarajan, Titas De, Eva-Maria Lochmueller +2
The ability of Anisotropic Minkowski Functionals (AMFs) to capture local anisotropy while evaluating topological properties of the underlying gray-level structures has been previou…