MAGGNet: guided volumetric metal artefact synthesis for computed tomography scans
J Drzewiecki, I Hołowacz, B Lewandowski, F Fit, U Markowska-Kaczmar
Materiały konferencyjne
Profesor zwyczajny
Urszula Markowska-Kaczmar is a full professor at the Wroclaw University of Science and Technology in the Artificial Intelligence Department. She has graduated and received a Ph.D. from the Faculty of Electronics at the Wroclaw University of Technology. In 2008 she received DSc (habilitation) at the System Research Institute of the Polish Academy of Sciences in Warsaw. In 1999-2001 she was deputy dean of the Faculty of Computer Science and Management at the Wroclaw University of Science and Technology. For ten years, she led the student scientific group medical.ml. Her research interests include Computational Intelligence Methods. Since the beginning, she has researched Neural Networks and knowledge extraction from these models. Now she focuses on deep neural networks and their applications. She is the author of more than 130 papers on neural networks, deep network applications, and artificial life. She is a member of international committees and a reviewer in prestigious international journals focused on machine learning pattern recognition and neural networks.
magister informatyki
Politechnika Wrocławska
doktor informatyki, sztuczna inteligencja
Politechnika Wrocławska
doktor habilitowany w dyscyplinie informatyka
Instytut Badań Systemowych Polskiej Akademii Nauk
profesor w dyscyplinie informatyka techniczna i telekomunikacja
Politechnika Wrocławska
J Drzewiecki, I Hołowacz, B Lewandowski, F Fit, U Markowska-Kaczmar
Materiały konferencyjne
D Hardzetski, U Markowska-Kaczmar
Communications in computer and information science
JI Szołomicka, U Markowska-Kaczmar
Intelligent systems reference library
JI Szołomicka, U Markowska-Kaczmar
Materiały konferencyjne
U Markowska-Kaczmar, M Wawrzyniak, K Szymończyk, JI Szołomicka, J Pyka, K Kulawiec, …
Engineering Applications of Artificial Intelligence 144, 1–20
U Markowska-Kaczmar, F Strzałka
Materiały konferencyjne
MP Karol, M Tabakow, U Markowska-Kaczmar, Ł Fuławka
Artificial Intelligence Review 57, 1–36 · Cytowane przez 10
H Kwaśnicka, U Markowska-Kaczmar, N Jain, CP Lim, LC Jain
Intelligent systems reference library
JI Szołomicka, U Markowska-Kaczmar
Intelligent Systems Reference Library · Cytowane przez 2
S Jamroziński, U Markowska-Kaczmar
Scientific Reports 12, 1–17
U Markowska-Kaczmar, M Kosturek
Neural Computing and Applications · Cytowane przez 21
D Popek, U Markowska-Kaczmar
Procedia Computer Science · Cytowane przez 1
U Markowska-Kaczmar, A Ślimak
Procedia Computer Science
M Zimoch, U Markowska-Kaczmar
Engineering Applications of Artificial Intelligence · Cytowane przez 5
P Zieliński, U Markowska-Kaczmar
Applied Soft Computing · Cytowane przez 41
U Markowska-Kaczmar, A Palczewska
Lecture notes in computer science
E Juralewicz, U Markowska-Kaczmar
Lecture notes in computer science · Cytowane przez 4
U Markowska-Kaczmar, G Kułakowski
Lecture notes in computer science
U Markowska-Kaczmar, T Marcinkowski
Applied Soft Computing · Cytowane przez 3
U Markowska-Kaczmar, S Corchs, G Chioma, R Dondi, F Gasparini, S Manzoni, …
Frontiers in Neuroscience 13, 1–7
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