Dr Konrad Ciecierski
Research interests: decision support systems, machine learning, deep learning for multimodal data classification, digital signal analysis
Konrad Ciecierski is involved in decision support systems in clinical medicine, particularly systems used in neurosurgery, as well as machine learning, deep learning and digital signal analysis. He has developed a decision support system currently in use at the Nervous System Tumor Clinic at the Marie Sklodowska-Curie National Research Institute of Oncology for the neurosurgical treatment of Parkinson’s Disease and other extrapyramidal disorders. He is a member of the surgical team at the Nervous System Tumor Clinic at MSCNRIO performing DBS surgery for the treatment of Parkinson’s Disease, among others.
Selected Publications
Articles
Katarzyna Dziewulska, Konrad Ciecierski, "Mobile Application for Skin Lesions Classification", Advanced, Contemporary Control: Proceedings of the XXI Polish Control Conference, Gliwice, Poland, ed. Marek Pawelczyk, Dariusz Bismor, Szymon Ogonowski, Janusz Kacprzyk, Springer, Cham, 2023, 182-192.
Mateusz Korycinski, Konrad Ciecierski, Ewa Niewiadomska-Szynkiewicz, "Neural fiber prediction with deep learning", 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Thessaloniki, Greece, 2022, 1-5.
Mateusz Koryciński, Konrad Ciecierski, “Tractography methods in preoperative neurosurgical planning”, Journal of Telecommunications and Information Technology, 3, 2021, 78–85.
Konrad Ciecierski, Tomasz S. Mandat, "Classification of DBS microelectrode recordings using a residual neural network with attention in the temporal domain", Neural Networks, 170, 2024, 18-31.
Victor Mandat, Pawel R. Zdunek, Bartosz Krolicki, Krzysztof Szalecki, Henryk M. Koziara, Konrad Ciecierski, Tomasz S. Mandat, "Periaqueductal/periventricular gray deep brain stimulation for the treatment of neuropathic facial pain", Frontiers in Neurology, 14, 2023, 1-8.
Kamila Lis, Wojciech Szynkiewicz, Ewa Niewiadomska-Szynkiewicz, Konrad Ciecierski, "Wykrywanie anomalii w zachowaniu robota usługowego z wykorzystaniem sieci LSTM", 16. Krajowa Konferencja Robotyki – Postępy robotyki, 197, 2022, 211–222.
Kamila Lis, Mateusz Koryciński, Konrad Ciecierski, "Classification of masked image data", PLOS One, 16(7), 2021, e0254181.