| clDice-a novel topology-preserving loss function for tubular structure segmentation S Shit, JC Paetzold, A Sekuboyina, I Ezhov, A Unger, A Zhylka, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 186 | 2021 |
| Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results L Ning, E Bonet-Carne, F Grussu, F Sepehrband, E Kaden, J Veraart, ... Neuroimage 221, 117128, 2020 | 56 | 2020 |
| Virtual brain grafting: Enabling whole brain parcellation in the presence of large lesions AM Radwan, L Emsell, J Blommaert, A Zhylka, S Kovacs, T Theys, ... NeuroImage 229, 117731, 2021 | 47 | 2021 |
| Insights from the IronTract challenge: optimal methods for mapping brain pathways from multi-shell diffusion MRI C Maffei, G Girard, KG Schilling, DB Aydogan, N Adluru, A Zhylka, Y Wu, ... NeuroImage 257, 119327, 2022 | 23 | 2022 |
| Muti-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC): progress and results L Ning, E Bonet-Carne, F Grussu, F Sepehrband, E Kaden, J Veraart, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 20 | 2019 |
| Endothelial progenitor cells and plaque burden in stented coronary artery segments: an optical coherence tomography study six months after elective PCI S Otto, K Nitsche, C Jung, A Kryvanos, A Zhylka, K Heitkamp, ... BMC cardiovascular disorders 17 (1), 1-10, 2017 | 13 | 2017 |
| Tracking the Corticospinal Tract in Patients With High-Grade Glioma: Clinical Evaluation of Multi-Level Fiber Tracking and Comparison to Conventional Deterministic Approaches A Zhylka, N Sollmann, F Kofler, A Radwan, A De Luca, J Gempt, ... Frontiers in oncology 11, 2021 | 7 | 2021 |
| New insights from the IronTract challenge: Simple post-processing enhances the accuracy of diffusion tractography C Maffei, G Girard, KG Schilling, DB Aydogan, N Adluru, A Zhylka, Y Wu, ... ISMRM & SMRT Annual Meeting, 2021 | 5 | 2021 |
| Anatomically informed multi-level fiber tractography for targeted virtual dissection A Zhylka, A Leemans, JPW Pluim, A De Luca Magnetic Resonance Materials in Physics, Biology and Medicine, 1-15, 2022 | 3 | 2022 |
| Cross-scanner and cross-protocol harmonisation of multi-shell diffusion MRI data: open challenge and evaluation results L Ning, E Bonet-Carne, F Grussu, F Sepehrband, E Kaden, J Veraart, ... Proceedings of the International Society for Magnetic Resonance in Medicine …, 2019 | 3 | 2019 |
| Reconstruction of the Corticospinal Tract in Patients with Motor-Eloquent High-Grade Gliomas Using Multilevel Fiber Tractography Combined with Functional Motor Cortex Mapping A Zhylka, N Sollmann, F Kofler, A Radwan, A De Luca, J Gempt, ... American Journal of Neuroradiology, 2023 | 2 | 2023 |
| Anatomically informed multi-level fiber tractography for improved sensitivity of white matter bundle reconstruction in diffusion MRI A Zhylka, A Leemans, J Pluim, A De Luca Proc Intl Soc Mag Reson Med 28, 855, 2020 | 1 | 2020 |
| Automatic hepatic tumor segmentation in intra-operative ultrasound: a supervised deep-learning approach T Natali, A Zhylka, K Olthof, JN Smit, TR Baetens, NFM Kok, ... Journal of Medical Imaging 11 (2), 024501-024501, 2024 | | 2024 |
| Diffusion MRI tractography branched out A Zhylka | | 2023 |
| Reducing False Positives in Automatic Hepatic Tumor Segmentation: a Deep Learning Approach T Natali, A Zhylka, K Olthof, J Smit, B Tarik, T Ruers, M Fusaglia IJCARS 18, 47-48 (Supl 1), 2023 | | 2023 |
| Multi-level fiber tracking: evaluation on clinical data A Zhylka, N Sollmann, A De Luca, D Krahulec, M Breeuwer, A Leemans, ... ISMRM & SMRT Virtual Conference & Exhibition, 2020 | | 2020 |
| Multi-level fiber tractography in brain tumor patients using functional mapping for seeding A Zhylka, J Pluim, F Kofler, A Radwan, A De Luca, A Schroeder, ... | | |
| Supplementary Material for clDice-a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation S Shit, JC Paetzold, I Ezhov, A Sekuboyina, A Unger, A Zhylka, ... | | |
