Gernot Kronreif

ORCID: 0000-0003-2675-2190
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About
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Research Areas
  • Advanced Radiotherapy Techniques
  • Soft Robotics and Applications
  • Surgical Simulation and Training
  • Anatomy and Medical Technology
  • Advanced X-ray and CT Imaging
  • Medical Imaging Techniques and Applications
  • Robotics and Automated Systems
  • Social Robot Interaction and HRI
  • Flexible and Reconfigurable Manufacturing Systems
  • Cerebrospinal fluid and hydrocephalus
  • Endometrial and Cervical Cancer Treatments
  • Assistive Technology in Communication and Mobility
  • Modular Robots and Swarm Intelligence
  • Manufacturing Process and Optimization
  • Radiomics and Machine Learning in Medical Imaging
  • Glioma Diagnosis and Treatment
  • Advanced Manufacturing and Logistics Optimization
  • Augmented Reality Applications
  • Robotics and Sensor-Based Localization
  • Vascular Malformations Diagnosis and Treatment
  • MRI in cancer diagnosis
  • Scheduling and Optimization Algorithms
  • Spinal Fractures and Fixation Techniques
  • AI in Service Interactions
  • Robot Manipulation and Learning

Austrian Center for Medical Innovation and Technology
2014-2024

Leipzig University
2023

UPMC Health System
2020

Duke Medical Center
2020

Swedish Medical Center
2020

Johns Hopkins University
2019-2020

American Association of Physicists in Medicine
2020

Ashland (United States)
2020

Philips (Finland)
2020

John Wiley & Sons (United States)
2020

This article presents a novel set of ten play scenarios for robot-assisted children with special needs. is one the key outcomes IROMEC project that investigated how robotic toys can become social mediators, encouraging needs to discover range styles, from solitary collaborative (with peers, carers/teachers, parents etc.). The target user groups in were Mild Mental Retardation,1 Severe Motor Impairment and Autism. developed against specific educational therapeutic objectives discussed panels...

10.1075/is.13.2.03rob article EN Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems 2012-05-07

OBJECTIVE The authors' group recently published a novel technique for navigation-guided frameless stereotactic approach the placement of depth electrodes in epilepsy patients. To improve accuracy trajectory and enhance procedural workflow, authors implemented iSys1 miniature robotic device present study into this routine. METHODS As first step, preclinical phantom was performed using human skull model, timing between 5 implanted with manual aid robot were compared. After showed an increased...

10.3171/2016.5.jns16388 article EN Journal of neurosurgery 2016-08-05

OBJECTIVE Robotic devices have recently been introduced in stereotactic neurosurgery order to overcome the limitations of frame-based and frameless techniques terms accuracy safety. The aim this study is evaluate feasibility novel, miniature, iSYS1 robotic guidance device neurosurgery. METHODS A preclinical phantom trial was conducted compare duration needle positioning between manual technique 162 cadaver biopsies. Second, 25 consecutive cases tumor biopsies intracranial catheter placements...

10.3171/2016.1.jns152005 article EN Journal of neurosurgery 2016-04-22

This study aimed to prospectively assess the visibility of interstitial needles on transrectal ultrasound (TRUS) in cervical cancer brachytherapy patients and evaluate its impact implant treatment plan quality.

10.1007/s00066-024-02207-9 article EN cc-by Strahlentherapie und Onkologie 2024-02-26

In this article, we describe the development of a human-robot interaction concept for service robots to assist elderly people in home with physical tasks. Our approach is based on insight that are not yet able handle all tasks autonomously sufficient reliability complex and heterogeneous environments private homes. We therefore employ remote human operators robot cannot completely autonomously. methodology was user-centric iterative, six user studies carried out at various stages involving...

10.5898/jhri.1.1.mast article EN Journal of Human-Robot Interaction 2012-08-01

Purpose: To test the feasibility of a robotic needle-guidance platform during CT-guided puncture ex vivo. Material and methods: Thin copper wires inserted into torso phantom served as targets. The was placed on carbon plate robot-positioning unit (RPU) guidance (iSYS Medizintechnik GmbH, Kitzbuehel, Austria) attached. Following CT imaging automatic registration double oblique trajectory planned RPU remotely moved appropriate position angulation. A 17G-puncture needle then manually until...

10.3109/13645706.2014.928641 article EN Minimally Invasive Therapy & Allied Technologies 2014-06-22

Current medical imaging phantoms are usually limited by simplified geometry and radiographic skeletal homogeneity, which confines their usage for image quality assessment. In order to fabricate realistic phantoms, replication of the entire tissue morphology associated CT numbers, defined as Hounsfield Unit (HU) is required. 3D printing a promising technology production with accurate anatomical replication. So far, majority using technologies tried mimic average HU soft human organs. One...

10.1016/j.zemedi.2022.02.001 article EN cc-by-nc-nd Zeitschrift für Medizinische Physik 2022-02-24

Anatomic models are important in medical education and pre-operative planning as they help students or doctors prepare for real scenarios a risk-free way. Several experimental anatomic were made with additive manufacturing techniques to improve geometric, radiological, mechanical realism. However, reproducing the behavior of soft tissues remains challenge. To solve this problem, multi-material structuring hard materials was proposed study, three-dimensional (3D) printer built make such...

10.18063/ijb.v7i4.420 article EN International Journal of Bioprinting 2021-11-17

The objective of this study was to assess and compare the potential 5-aminolevulinic acid (5-ALA) Raman spectroscopy (RS) in detecting tumor-infiltrated brain patients with glioblastoma (GBM).

10.3171/2022.11.jns22693 article EN Journal of neurosurgery 2022-12-23

Recent advances in machine learning are transforming medical image analysis, particularly cancer detection and classification. Techniques such as deep learning, especially convolutional neural networks (CNNs) vision transformers (ViTs), now enabling the precise analysis of complex histopathological images, automating detection, enhancing classification accuracy across various types. This study focuses on osteosarcoma (OS), most common bone children adolescents, which affects long bones arms...

10.3389/fmed.2025.1555907 article EN cc-by Frontiers in Medicine 2025-04-16

As decisions regarding tumor diagnosis and subsequent treatment are increasingly based on molecular pathology, the frequency of brain biopsies is increasing. Robotic devices overcome limitations frame-based frameless techniques in terms accuracy usability. The aim present study was to a novel, minimally invasive, robot-guided biopsy technique compare results with those standard burr hole biopsy.

10.3171/2018.8.jns182096 article EN Journal of neurosurgery 2019-02-27
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