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Anna Fabijańska

Has grant

Full professor

Lodz University of Technology

Poland

Research Interests

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Professors in Poland Professors in Artificial Intelligence Artificial Intelligence professors in Poland

Recent Grants

Grant: Close

BOîte Intelligente à outils pour l’aide à la mise en place et le suivi de Serres (BIO-Serr)

Open Date: 2022-12-01

Close Date: 2024-04-01

Grant: Close

First innovative rating and recommendation system for listed companies, based on machine learning and artificial intelligence dedicated to ESG (environmental, social, governance) factors

Open Date: 2022-02-01

Close Date:

Grant: Close

Recommendation and smart matching engine for listed companies and institutional investors based on artificial intelligence, including text mining and machine learning.

Open Date: 2020-06-01

Close Date: 2022-12-01

Grant: Close

DeepVesselNets: Reconstruction of vessels from medical images by deep learning networks

Open Date: 2020-01-01

Close Date: 2021-12-01

Grant: Close

The assessment of lung aeration in patients with acute respiratory distress syndrome (ARDS) based on 3D CT images

Open Date: 2016-01-01

Close Date: 2017-12-01

Articles (19)

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Collaborators (9)

Robert Banasiak

Associate Professor

Lodz University of Technology

POLAND

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Aleksandra Wysokińska

assistant professor (adiunkt)

Politechnika Łódzka

POLAND

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Adrian Kucharski

Lodz University of Technology

POLAND

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Piotr Duch

Assistant Professor

Lodz University of Technology

POLAND

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Cristian Montes

Associate Professor; Co-Director PMRC

University of Georgia

UNITED STATES

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Bronson Bullock

Professor of Forest Biometrics; Director of Plantation Management Research Cooperative (PMRC)

University of Georgia

UNITED STATES

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Christopher Allen

Pricipal Scientist

University of Oxford

UNITED KINGDOM

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Hanna Sikacz

vice-dean for development and promotion, assistant professor

Uniwersytet Ekonomiczny w Krakowie

POLAND

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Faten Chaieb

Professor

FRANCE

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Anna Fabijańska

Research Interests

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Recent Grants

Articles (19)

The Fréchet Coefficient for GANs and Diffusion Models Evaluation

Can AI Code? A Head-to-Head Showdown Between Large Language Models and Student Programmers in C

Defense keeps pace with growth in intensively managed Southern US pine plantations: Co-scaling of resin ducts and radial growth

Diffusion model-based synthesis of brain images for data augmentation

Towards improved evaluation of generative neural networks: The Fréchet Coefficient

Capturing atomic wetting dynamics in real time

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction

Can machine learning bring ESG ratings closer to small and medium-sized enterprises?

Direct Estimation of Electric Field Distribution in Circular ECT Sensors Using Graph Convolutional Networks

Automatic resin duct detection and measurement from wood core images using convolutional neural networks

Corneal endothelial image segmentation training data generation using GANs. Do experts need to annotate?

Graph Convolutional Networks for Semi-Supervised Image Segmentation

Graph Convolutional Networks for Semi-Supervised Image Segmentation

Graph convolutional networks for enhanced resolution 3D Electrical Capacitance Tomography image reconstruction

Image processing pipeline for the detection of blood flow through retinal vessels with subpixel accuracy in fundus images

CNN-watershed: A watershed transform with predicted markers for corneal endothelium image segmentation

Segmentation of Liver Anatomy by Combining 3D U-Net Approaches

Wood species automatic identification from wood core images with a residual convolutional neural network

DeepVarveNet: Automatic detection of glacial varves with deep neural networks

Collaborators (9)

Robert Banasiak

Aleksandra Wysokińska

Adrian Kucharski

Piotr Duch

Cristian Montes

Bronson Bullock

Christopher Allen

Hanna Sikacz

Faten Chaieb

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