Justin Dauwels

Predicting neurological outcomes following spinal surgery: A machine learning approach using intraoperative neuromonitoring data.

Journal: North American Spine Society journal

Published: April 10, 2026

Surgical Workflow Analysis: An Explainable Approach.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 03, 2025

Prediction of Postinduction Hypotension by Machine Learning.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: March 05, 2025

Machine Learning Algorithm to Estimate Cardiac Output Based On Less-Invasive Arterial Blood Pressure Measurements.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: March 05, 2025

Letter to the Editor: Announcement of a Call for Proposals for biomedical waveform coding.

Journal: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology

Published: June 21, 2024

NeuroDots: From Single-Target to Brain-Network Modulation: Why and What Is Needed?

Journal: Neuromodulation : journal of the International Neuromodulation Society

Published: August 07, 2023

Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG.

Journal: International journal of neural systems

Published: February 22, 2023

Evaluation of different classification methods using electronic nose data to diagnose sarcoidosis.

Journal: Journal of breath research

Published: December 02, 2022

Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: September 10, 2022

Identifying psychiatric manifestations in schizophrenia and depression from audio-visual behavioural indicators through a machine-learning approach.

Journal: Schizophrenia (Heidelberg, Germany)

Published: May 21, 2022

Predicting neurological outcomes following spinal surgery: A machine learning approach using intraoperative neuromonitoring data.

Predicting neurological outcomes following spinal surgery: A machine learning approach using intraoperative neuromonitoring data.

Surgical Workflow Analysis: An Explainable Approach.

Surgical Workflow Analysis: An Explainable Approach.

Prediction of Postinduction Hypotension by Machine Learning.

Prediction of Postinduction Hypotension by Machine Learning.

Machine Learning Algorithm to Estimate Cardiac Output Based On Less-Invasive Arterial Blood Pressure Measurements.

Machine Learning Algorithm to Estimate Cardiac Output Based On Less-Invasive Arterial Blood Pressure Measurements.

Letter to the Editor: Announcement of a Call for Proposals for biomedical waveform coding.

Letter to the Editor: Announcement of a Call for Proposals for biomedical waveform coding.

NeuroDots: From Single-Target to Brain-Network Modulation: Why and What Is Needed?

NeuroDots: From Single-Target to Brain-Network Modulation: Why and What Is Needed?

Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG.

Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG.

Evaluation of different classification methods using electronic nose data to diagnose sarcoidosis.

Evaluation of different classification methods using electronic nose data to diagnose sarcoidosis.

Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG.

Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG.

Identifying psychiatric manifestations in schizophrenia and depression from audio-visual behavioural indicators through a machine-learning approach.

Identifying psychiatric manifestations in schizophrenia and depression from audio-visual behavioural indicators through a machine-learning approach.

Efficient Variational Bayes Learning of Graphical Models With Smooth Structural Changes.

Efficient Variational Bayes Learning of Graphical Models With Smooth Structural Changes.

Editorial: Celebration of the 30th Anniversary of IJNS.

Editorial: Celebration of the 30th Anniversary of IJNS.