Falko Schmid

About Falko Schmid

Falko Schmid, With an exceptional h-index of 14 and a recent h-index of 9 (since 2020), a distinguished researcher at Heinrich-Heine-Universität Düsseldorf, specializes in the field of AR/VR, HCI, Digital Health, Industry 4.0, Maps.

His recent articles reflect a diverse array of research interests and contributions to the field:

Enacted Selves in Technological Activities–Framework and Case Study in Immersive Telementoring

Latency Measurement Approach for Black Box Components in Edge Computing Environments

Artificial intelligence for clinical decision support for monitoring patients in cardiovascular ICUs: A systematic review

Immersive VR-Based Patient Journey

Integrating Interactive Web-Based Modules to Enhance Explainability of a Medical AI Dashboard for Predicting Readmission to Cardiovascular ICUs

Predicting readmission to the cardiovascular intensive care unit using recurrent neural networks

Towards 5g telementoring in vr-assisted heart transplantation using hololens 2

Bringing Explainability to Deep Learning–Based Clinical Support Decision Systems

Falko Schmid Information

University

Position

Director Digital Health Lab Düsseldorf

Citations(all)

904

Citations(since 2020)

301

Cited By

721

hIndex(all)

14

hIndex(since 2020)

9

i10Index(all)

16

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Falko Schmid Skills & Research Interests

AR/VR

HCI

Digital Health

Industry 4.0

Maps

Top articles of Falko Schmid

Enacted Selves in Technological Activities–Framework and Case Study in Immersive Telementoring

2023/9/3

Latency Measurement Approach for Black Box Components in Edge Computing Environments

2023/5/4

Falko Schmid
Falko Schmid

H-Index: 10

Artificial intelligence for clinical decision support for monitoring patients in cardiovascular ICUs: A systematic review

Anaesthesia, Critical Care & Pain Medicine

2020/12

Immersive VR-Based Patient Journey

The Thoracic and Cardiovascular Surgeon

2023/1

Integrating Interactive Web-Based Modules to Enhance Explainability of a Medical AI Dashboard for Predicting Readmission to Cardiovascular ICUs

The Thoracic and Cardiovascular Surgeon

2023/1

Predicting readmission to the cardiovascular intensive care unit using recurrent neural networks

Digital Health

2023/1

Falko Schmid
Falko Schmid

H-Index: 10

Hug Aubin
Hug Aubin

H-Index: 13

Towards 5g telementoring in vr-assisted heart transplantation using hololens 2

2022

Bringing Explainability to Deep Learning–Based Clinical Support Decision Systems

The Thoracic and Cardiovascular Surgeon

2022/1

Surgical Magnification Glasses with Augmented Reality

The Thoracic and Cardiovascular Surgeon

2022/1

Comprehensive visualization of AI decisions for early complication detection of cardiac surgery patients

The Thoracic and Cardiovascular Surgeon

2022/1

Dicom-Data Stream Transformation of Sectional Images into a Digital 3D-Heart Model

The Thoracic and Cardiovascular Surgeon

2022/1

LSTM-Based Decision Support System for ICU Discharge

The Thoracic and Cardiovascular Surgeon

2022/1

Real-time 3D scans of cardiac surgery using a single optical-see-through head-mounted display in a mobile setup

Frontiers in Virtual Reality

2022/9/27

ARMAGNI: Augmented Reality Enhanced Surgical Magnifying Glasses

Scandinavian Conference on Health Informatics

2022/8/22

Hug Aubin
Hug Aubin

H-Index: 13

Falko Schmid
Falko Schmid

H-Index: 10

Maschinelles Lernen in der Herz-Thorax-Chirurgie

Zeitschrift für Herz-, Thorax-und Gefäßchirurgie

2022/8

Hug Aubin
Hug Aubin

H-Index: 13

Falko Schmid
Falko Schmid

H-Index: 10

Evaluating a recurrent neural network model for predicting readmission to cardiovascular ICUs based on clinical time series data

Engineering Proceedings

2022/6/16

Hug Aubin
Hug Aubin

H-Index: 13

Falko Schmid
Falko Schmid

H-Index: 10

Situationsbezogener Einsatz von Technologien der erweiterten Realität bei Stahl-Glas-Konstruktionen

2022

Evaluating a Recurrent Neural Networks Model For Predicting Readmission to Cardiovascular ICUs Based on Clinical Time Series Data. Eng. Proc. 2022, 1, 0

2022

HeartTeam 4.0: HeartTeam-Based Decision Making in Real Time and Over the Distance via an Interactive Tele-Presence System following A User-Centered Approach

The Thoracic and Cardiovascular Surgeon

2021/1

See List of Professors in Falko Schmid University(Heinrich-Heine-Universität Düsseldorf)

Co-Authors

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