319 citations · 456 across the 17 of their papers we have counts for
17 papers
Evaluating self-supervised echocardiographic representations across downstream extraction strategies for left-ventricular segmentation and ejection fraction estimation
Sylwia Majchrowska, Philip Teare
Self-supervised learning (SSL) is increasingly used in medical imaging to reduce annotation requirements, but representation quality is often judged using a single downstream evalu…
Unlocking the Heart Using Adaptive Locked Agnostic Networks
Sylwia Majchrowska, Anders Hildeman, Philip Teare +1
Supervised training of deep learning models for medical imaging applications requires a significant amount of labeled data. This is posing a challenge as the images are required to…
On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study
Maria Ferlin, Sylwia Majchrowska, Marta Plantykow +4
Labeling is the cornerstone of supervised machine learning, which has been exploited in a plethora of various applications, with sign language recognition being one of them. Howeve…
Towards Explainable Motion Prediction using Heterogeneous Graph Representations
Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander +2
Motion prediction systems aim to capture the future behavior of traffic scenarios enabling autonomous vehicles to perform safe and efficient planning. The evolution of these scenar…
Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs
Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander +3
Predicting the motion of other road agents enables autonomous vehicles to perform safe and efficient path planning. This task is very complex, as the behaviour of road agents depen…
GAN-based generative modelling for dermatological applications -- comparative study
Sandra Carrasco Limeros, Sylwia Majchrowska, Mohamad Khir Zoubi +4
The lack of sufficiently large open medical databases is one of the biggest challenges in AI-powered healthcare. Synthetic data created using Generative Adversarial Networks (GANs)…
The (de)biasing effect of GAN-based augmentation methods on skin lesion images
Agnieszka Mikołajczyk, Sylwia Majchrowska, Sandra Carrasco Limeros
New medical datasets are now more open to the public, allowing for better and more extensive research. Although prepared with the utmost care, new datasets might still be a source…
Soliton trapping and orthogonal Raman scattering in a birefringent microstructured fiber
Karolina Stefańska, Sylwia Majchrowska, Karolina Gemza +5
We report on trapped pulse generation in birefringent microstructured optical fiber. Linearly polarized fs pulses are injected into the microstructured fiber in anomalous dispersio…
Handling sign language transcription system with the computer-friendly numerical multilabels
Sylwia Majchrowska, Marta Plantykow, Milena Olech
This paper presents our recent developments in the automatic processing of sign language corpora using the Hamburg Sign Language Annotation System (HamNoSys). We designed an automa…
Multiple intermodal-vectorial four-wave-mixing bands generated by selective excitation of orthogonally polarized LP01 and LP11 modes in a birefringent fiber
Sylwia Majchrowska, Kinga Żołnacz, Wacław Urbańczyk +1
This study investigated the nonlinear frequency conversions between the six polarization modes of a two-mode birefringent fiber. The aim was to demonstrate that the selective excit…
Self-Normalized Density Map (SNDM) for Counting Microbiological Objects
Krzysztof M. Graczyk, Jaroslaw Pawlowski, Sylwia Majchrowska +1
The statistical properties of the density map (DM) approach to counting microbiological objects on images are studied in detail. The DM is given by U-Net. Two statistical metho…
Generation of microbial colonies dataset with deep learning style transfer
Jarosław Pawłowski, Sylwia Majchrowska, Tomasz Golan
We introduce an effective strategy to generate an annotated synthetic dataset of microbiological images of Petri dishes that can be used to train deep learning models in a fully su…
gnlse-python: Open Source Software to Simulate Nonlinear Light Propagation In Optical Fibers
Paweł Redman, Magdalena Zatorska, Adam Pawłowski +3
The propagation of pulses in optical fibers is described by the generalized nonlinear Schrodinger equation (GNLSE), which takes into account the fiber losses, nonlinear effects, an…
Modelling Arbitrary Complex Dielectric Properties -- an automated implementation for gprMax
Sylwia Majchrowska, Iraklis Giannakis, Craig Warren +1
There is a need to accurately simulate materials with complex electromagnetic properties when modelling Ground Penetrating Radar (GPR), as many objects encountered with GPR contain…
Deep neural networks approach to microbial colony detection -- a comparative analysis
Sylwia Majchrowska, Jarosław Pawłowski, Natalia Czerep +3
Counting microbial colonies is a fundamental task in microbiology and has many applications in numerous industry branches. Despite this, current studies towards automatic microbial…
AGAR a microbial colony dataset for deep learning detection
Sylwia Majchrowska, Jarosław Pawłowski, Grzegorz Guła +7
The Annotated Germs for Automated Recognition (AGAR) dataset is an image database of microbial colonies cultured on agar plates. It contains 18000 photos of five different microorg…
Waste detection in Pomerania: non-profit project for detecting waste in environment
Sylwia Majchrowska, Agnieszka Mikołajczyk, Maria Ferlin +4
Waste pollution is one of the most significant environmental issues in the modern world. The importance of recycling is well known, either for economic or ecological reasons, and t…