Katarzyna Heryan

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PhD student, teaching assistant

AGH University of Science and Technology

Poland

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About

Katarzyna Heryan is a PhD student and teaching assistant at AGH University of Science and Technology in Poland. Her research areas include vibroacoustic signal analysis for tissue classification, topological analysis of renal arterial structures, and advanced methodologies for ECG monitoring. She has contributed to several recent articles exploring innovative algorithms and frameworks for tissue interaction and anatomical analysis.

Recent Grants

Grant: Close

Analysis of the renal vascular tree topology

Open Date: 2017-01-01

Close Date: 2020-01-01

Articles (12)

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2025

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2025

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2024

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2023

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2023

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2022

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2021

Collaborators (2)

Dominik Rzepka

AGH University of Krakow

POLAND

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Michael Friebe

Otto-von-Guericke Universität Magdeburg

GERMANY

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Katarzyna Heryan

Research Interests

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About

Recent Grants

Articles (12)

Initial findings creating a temperature prediction model using vibroacoustic signals originating from tissue needle interactions

Exploratory analysis and framework for tissue classification based on vibroacoustic signals from needle–tissue interaction

A Novel Skeletonization Algorithm for Topologically Complex Structures: Comparative Analysis and Application to Renal Arterial Trees

Morphological and Topological Analysis of the Human Renal Arterial Tree Using μ-CT Scans of Corrosion Cast Specimens

Multiplierless QRS detection algorithm for mobile ECG monitoring based on approximate computing

Reconstruction of the Intrarenal Vascular Tree From μ-CT Scans of Corrosion Cast Specimens

Validation Framework for Analyzing Complex Anatomical Structures: Application of L-System Models

Tissue puncture event detection in needle procedures using vibroacoustic signals - ResNet optimised phantom results

Audio-based tissue classification - preliminary investigation for a needle procedure

Novel and inexpensive gamma radiation sensor: initial concept and design

Surface and event characterization – proximal audio sensing to improve manual and robotic device interventions

Study of needle punctures into soft tissue through audio and force sensing: can audio be a simple alternative for needle guidance?

Collaborators (2)

Dominik Rzepka

Michael Friebe

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