Andrey Zhylka

Researcher/Postdoc

Strategic program(s):

Contact

azhylka@umcutrecht.nl

Pure profile

Recent publications

All publications

Evaluation of harmonization strategies for analyzing multi-center diffusion MRI data of rhabdomyosarcoma Andrey Zhylka, Giulia de Donno, Cyrano Chatziantoniou, Roelof van Ewijk, Madeleine Adams, Patrizia Bertolini, Gianni Bisogno, Amine Bouhamama, Pablo Caro-Dominguez, Valerie Charon, Ana Coma, Rana Dandis, Christine Devalck, Andrea Ferrari, Giulia Fichera, Marta Fiocco, Soledad Gallego, Heidi Glosli, Simone ter Horst, Meriel Jenney, Willemijn M. Klein, Julie Leseur, Henry C Mandeville, Kieran McHugh, Veronique Minard-Colin, Salma Moalla, Carlo Morosi, Daniel Orbach, Lise S. Ording Müller , Erika Pace, Pier Luigi Di Paolo, Katia Perruccio, Lucia Quaglietta, Marleen Renard, Antonio Ruggiero, Sara I. Sirvent, Reineke A Schoot, Rick R. Van Rijn, Johannes H.M. Merks, Alexander Leemans, A De Luca
2025

Use of High Angular Resolution Diffusion Imaging to Predict Optimal Coil Orientation in TMS Malte Szillat, Severin Schramm, Silas Preis, Julia Ten Pas, Constanze Rmschütz, Su Hwan Kim, Jan S. Kirschke, Bernhard Meyer, Nico Sollmann, Andrey Zhylka
2025

Application of HARDI to assess optimal coil orientation in neuronavigated TMS of the motor cortex Constanze Ramschütz, Andrey Zhylka, Silas Preis, Sandro M. Krieg, Haosu Zhang, Claus Zimmer, Bernhard Meyer, Nico Sollmann, Severin Schramm
2024, p.77-78

Simulated liver deformations with intraoperative ultrasound: steps towards a multi-modal dataset Andrey Zhylka, Jasper Smit, Karin Olthof, Leon ter Beek, Theo Ruers, Matteo Fusaglia
International Journal of Computer Assisted Radiology and Surgery, 2024, vol. 19, p.135-136

Automatic hepatic tumor segmentation in intra-operative ultrasound: a supervised deep-learning approach Tiziano Natali, Andrey Zhylka, Karin Olthof, Jasper N Smit, Tarik Baetens, Niels F M Kok, Koert F D Kuhlmann, Oleksandra Ivashchenko, Theo J M Ruers, Matteo Fusaglia
Journal of Medical Imaging, 2024, vol. 11, p.024501

Reducing False Positives in Automatic Hepatic Tumor Segmentation: a Deep Learning Approach Tiziano Natali, Andrey Zhylka, Karin Olthof, Jasper Smit, Baetens Tarik, Theo Ruers, Matteo Fusaglia
2023, p.47-48

External positions

User (benutzer) - MRI Image analysis - TUM University Hospital