Piotr Sobecki
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View article: Multi-Task Deep Learning for Surface Metrology
Multi-Task Deep Learning for Surface Metrology Open
A reproducible deep learning framework is presented for surface metrology to predict surface texture parameters together with their reported standard uncertainties. Using a multi-instrument dataset spanning tactile and optical systems, we …
View article: Tool Wear Prediction Using Smart Data and Advanced Change Point Detection Techniques for Optimized Replacement Timing in Manufacturing Systems
Tool Wear Prediction Using Smart Data and Advanced Change Point Detection Techniques for Optimized Replacement Timing in Manufacturing Systems Open
View article: Intraobserver and Interobserver Agreement between Six Radiologists Describing mpMRI Features of Prostate Cancer Using a PI-RADS 2.1 Structured Reporting Scheme
Intraobserver and Interobserver Agreement between Six Radiologists Describing mpMRI Features of Prostate Cancer Using a PI-RADS 2.1 Structured Reporting Scheme Open
Clinical practice has revealed ambiguities in PI-RADS v2.1 scoring, but a limited number of studies are available that validate the interreader and intrareader reproducibility of the mpMRI PI-RADS lexicon. We decomposed the PI-RADS rules i…
View article: Performance of Deep CNN and Radiologists in Prostate Cancer Classification: A Comparative Pilot Study
Performance of Deep CNN and Radiologists in Prostate Cancer Classification: A Comparative Pilot Study Open
In recent years multiple deep-learning solutions have emerged that aim to assist radiologists in prostate cancer (PCa) diagnosis. Most of the studies however do not compare the diagnostic accuracy of the developed models to that of radiolo…
View article: Prostate Cancer Detection Using a Transformer-Based Architecture and Radiomic-Based Postprocessing
Prostate Cancer Detection Using a Transformer-Based Architecture and Radiomic-Based Postprocessing Open
The detection of prostate cancer is an important challenge for medical personnel. To improve the medical system’s ability to process increasing numbers of oncological patients, demand for automation systems is growing. At the National Info…
View article: Radiological features accompanying peroneus brevis split rupture revealed on magnetic resonance imaging – a cohort study
Radiological features accompanying peroneus brevis split rupture revealed on magnetic resonance imaging – a cohort study Open
Background Peroneal split tears are an underrated cause of ankle pain. While magnetic resonance imaging (MRI) is useful for diagnosis, split tears are challenging to identify. The aim of the study was to investigate the association of pero…
View article: AI in Prostate MRI Analysis: A Short, Subjective Review of Potential, Status, Urgent Challenges, and Future Directions
AI in Prostate MRI Analysis: A Short, Subjective Review of Potential, Status, Urgent Challenges, and Future Directions Open
Artificial intelligence (AI) in prostate MRI analysis shows great promise and impressive performance. A large number of studies present the usefulness of AI models in tasks such as prostate segmentation, lesion detection, and the classific…
View article: Anatomical variants of the acromioclavicular joint influence its visibility in the standard MRI protocol in patients aged 18–31 years
Anatomical variants of the acromioclavicular joint influence its visibility in the standard MRI protocol in patients aged 18–31 years Open
Purpose Visualization of a structure in orthogonal planes is essential for correct radiological assessment. The aim was to assess the utility of the standard MRI protocol for the shoulder in the assessment of the acromioclavicular joint (A…
View article: Effect of domain knowledge encoding in CNN model architecture—a prostate cancer study using mpMRI images
Effect of domain knowledge encoding in CNN model architecture—a prostate cancer study using mpMRI images Open
Background Prostate cancer is one of the most common cancers worldwide. Currently, convolution neural networks (CNNs) are achieving remarkable success in various computer vision tasks, and in medical imaging research. Various CNN architect…
View article: Evaluation of interaction dynamics of concurrent processes
Evaluation of interaction dynamics of concurrent processes Open
The purpose of this paper is to present the wavelet tools that enable the detection of temporal interactions of concurrent processes. In particular, the determination of interaction coherence of time-varying signals is achieved using a com…
View article: OPI-JSA at SemEval-2017 Task 1: Application of Ensemble learning for computing semantic textual similarity
OPI-JSA at SemEval-2017 Task 1: Application of Ensemble learning for computing semantic textual similarity Open
Semantic Textual Similarity (STS) evaluation assesses the degree to which two parts of texts are similar, based on their semantic evaluation. In this paper, we describe three models submitted to STS SemEval 2017. Given two English parts of…