Florian Knöll

Deep Learning-based Accelerated MR Cholangiopancreatography without Fully-sampled Data

The purpose of this study was to accelerate MR cholangiopancreatography (MRCP) acquisitions using deep learning-based (DL) reconstruction at 3T and 0.55T. A total of 35 healthy volunteers...

Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction

Following the success of deep learning in a wide range of applications, neural network-based machine learning techniques have received interest as a means of accelerating magnetic resonance...

Crowdsensing-Based Road Condition Monitoring Service: An Assessment of Its Managerial Implications to Road Authorities

Forecast Correction Using Organizational Debiasing in Corporate Cash Flow Revisioning

Organizational Information improves Forecast Efficiency of Correction Techniques

The Goal of Forecasting - Predictability of Cash Flow Revisions in Corporate Finance

Relating Cash Flow Forecast Errors to Revision Patterns

Anchor and Adjustment Detection on Empirical Forecast Series

The Anchor and Adjustment Bandwidthmodel: Exploring Cognitive Biases in Simulated Forecast Series

On Predictability of Revisioning in Corporate Cash Flow Forecasting