Sylwia Majchrowska | Sylwia Majchrowska

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Intermodal-vectorial four-wave mixing processes involving LP01, LP11, LP02 and LP21 modes of birefringent fibers
Leveraging Synthetic Data for Skin Lesion Analysis
Unlocking the Heart Using Adaptive Locked Agnostic Networks
Unlocking the Heart Using Adaptive Locked Agnostic Networks
Assessing GAN-Based Generative Modeling on Skin Lesions Images
Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs
Overcoming Barriers to Data-Driven Workflows in Healthcare and Mobility
Adapting for Swedish AI ecosystem during Eye for AI program 2021-2023
Detect Waste Challenge - Visualize Object Detection on Multi-Source Data
On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study
Assessing GAN-based generative modeling on skin lesions images
Towards Explainable Motion Prediction using Heterogeneous Graph Representations
Towards Trustworthy Multi-Modal Motion Prediction
Towards Trustworthy Multi-Modal Motion Prediction: Evaluation and Interpretability
GAN-based generative modelling for dermatological applications - comparative study
Soliton trapping and orthogonal Raman scattering in a birefringent photonic crystal fiber
Modelling Arbitrary Complex Dielectric Properties—an automated implementation for gprMax
Deep Neural Networks Approach to Microbial Colony Detection—A Comparative Analysis
Handling sign language transcription system with the computer-friendly numerical multilabels
HearAI - Where AI Supports Inclusion of Deaf and Hearing-Impaired Individuals
Trustworthy AI for decision support in dermatology
Advantages and Limitations of Sign Language Corpora for Sign Language Recognition
HearAI - Non-Profit Project for Sign Language Recognition
Improving Swedish healthcare ecosystem using Flower
Multiple intermodal-vectorial four-wave mixing bands generated by selective excitation of orthogonally polarized LP01 and LP11 modes in a birefringent fiber
Handling sign language transcription system with the computer-friendly numerical multilabels
Self-normalized density map (SNDM) for counting microbiological objects
Deep diving into synthetic data use in healthcare
Synthetic data generation in healthcare
Deep learning-based waste detection in natural and urban environments
Deep neural networks approach to microbial colony detection—a comparative analysis
Generation of microbial colonies dataset with deep learning style transfer
Modelling Arbitrary Complex Dielectric Properties—an automated implementation for gprMax
Hear AI
gnlse-python: Open Source Software to Simulate Nonlinear Light Propagation In Optical Fibers
Numerical modelling of conical wave formation in multimode optical fibers
Polarization Conversion of Solitons Propagating in Birefringent Microstructured Optical Fibers
AGAR a Microbial Colony Dataset for Deep Learning Detection
Waste detection in Pomerania - non-profit project for detecting waste in environment
Numerical modelling of conical wave formation in multimode optical fibers
Modelling materials with complex electromagnetic properties
Waste detection in Pomerania: non-profit project for detecting waste in environment
Numerical modelings of ultrashort pulse propagation and conical emission in multimode optical fibers
Counting and classification of bacterial colonies using deep learning
Modes classification in multimode optical fibers with a deep learning network
Ultrashort pulse propagation and conical emission in multimode optical fibers
AI-generated company visual identity
Recognition and identification of bacterial colonies
Normal dispersion supercontinuum reaching mid-infrared in silica microstructured optical fibers
Influence of attenuation on self-organized second-harmonic generation in a germanium-doped microstructured silica fiber
The influence of attenuation on a self-organized second harmonic generation in a germanium doped microstructured silica fiber