Adam Piórkowski

Professor

AGH University of Science and Technology

Poland

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Professors in Poland Professors in Medical Imaging Medical Imaging professors in Poland

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About

Adam Piórkowski is a Professor at AGH University of Science and Technology in Poland. His research interests center on medical imaging, artificial intelligence applications in radiology, and methods for evaluating bone tissue. Notable recent publications include advancements in endodontic radiograph interpretation and deep learning techniques for ultrasonographic assessment. He is actively engaged in exploring innovative approaches for image processing and biometric authentication within the context of IoT security.

Adam Piórkowski

Research Interests

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About

Articles (20)

Comparative analysis of noise estimation methods in computed tomography images: Histogram analysis, L2 norm, SSIM, and CNN-based classification with ResNet50

A novel approach for CT image smoothing: Quaternion Bilateral Filtering for kernel conversion

Cancelable biometric authentication leveraging empirical mode decomposition and quaternion representations for IoT security

Assessment of Bone Aging—A Comparison of Different Methods for Evaluating Bone Tissue

Improving Endodontic Radiograph Interpretation with TV-CLAHE for Enhanced Root Canal Detection

AI in Medical Imaging and Image Processing

Deep Learning for Ultrasonographic Assessment of Temporomandibular Joint Morphology

Artificial Intelligence-Empowered Radiology—Current Status and Critical Review

Automated determination of hip arthrosis on the Kellgren–Lawrence scale in pelvic digital radiographs scans using machine learning

Simulation training significantly improves the performance of novice students achieving the standard transesophageal echocardiography views

Real-Time Simulation of Wave Phenomena in Lung Ultrasound Imaging

Textural Analysis Supports Prostate MR Diagnosis in PIRADS Protocol

Correlation of Bone Textural Parameters with Age in the Context of Orthopedic X-ray Studies

Textural Features of MR Images Correlate with an Increased Risk of Clinically Significant Cancer in Patients with High PSA Levels

Texture Analysis for the Bone Age Assessment from MRI Images of Adolescent Wrists in Boys

Effect of Matrix Size Reduction on Textural Information in Clinical Magnetic Resonance Imaging

Active factor XI is associated with the risk of cardiovascular events in stable coronary artery disease patients

Blind image quality assessment of magnetic resonance images with statistics of local intensity extrema

Efficient automatic 3D segmentation of cell nuclei for high‑content screening

Differential Diagnosis of Cysts and Granulomas Supported by Texture Analysis of Intraoral Radiographs

Collaborators (8)

Marzena Bielecka

Joanna Kwiecień

Karolina Nurzynska

Michał Strzelecki

Elzbieta Pociask

Marcin Kociolek

Mahmoud Nasr

Rafał Obuchowicz

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