Stefan Pszczolkowski
Stefan Pszczolkowski
Other namesStefan Pszczolkowski Parraguez
School of Medicine, University of Nottingham
Verified email at - Homepage
Cited by
Cited by
Noncontrast computed tomography signs as predictors of hematoma expansion, clinical outcome, and response to tranexamic acid in acute intracerebral hemorrhage
ZK Law, A Ali, K Krishnan, A Bischoff, JP Appleton, P Scutt, L Woodhouse, ...
Stroke 51 (1), 121-128, 2020
Quantitative CT radiomics-based models for prediction of haematoma expansion and poor functional outcome in primary intracerebral haemorrhage
S Pszczolkowski, JP Manzano-Patrón, ZK Law, K Krishnan, A Ali, PM Bath, ...
European Radiology 31, 7945–7959, 2021
Multiparametric cerebellar imaging and clinical phenotype in childhood ataxia telangiectasia
RA Dineen, F Raschke, HL McGlashan, S Pszczolkowski, L Hack, ...
NeuroImage: Clinical 25, 102110, 2020
Automated segmentation of haematoma and perihaematomal oedema in MRI of acute spontaneous intracerebral haemorrhage
S Pszczolkowski, ZK Law, RG Gallagher, D Meng, DJ Swienton, ...
Computers in biology and medicine 106, 126-139, 2019
Does tranexamic acid lead to changes in MRI measures of brain tissue health in patients with spontaneous intracerebral haemorrhage? Protocol for a MRI substudy nested within …
RA Dineen, S Pszczolkowski, K Flaherty, ZK Law, PS Morgan, I Roberts, ...
BMJ Open 8 (2), 1-8, 2017
Nonrigid free-form registration using landmark-based statistical deformation models
S Pszczolkowski, L Pizarro, R Guerrero, D Rueckert
Medical Imaging 2012: Image Processing 8314, 357-365, 2012
A robust similarity measure for volumetric image registration with outliers
P Snape, S Pszczolkowski, S Zafeiriou, G Tzimiropoulos, C Ledig, ...
Image and Vision Computing 52, 97-113, 2016
Effect of tranexamic acid administration on remote cerebral ischemic lesions in acute spontaneous intracerebral hemorrhage: a substudy of a randomized clinical trial
S Pszczolkowski, N Sprigg, LJ Woodhouse, R Gallagher, D Swienton, ...
JAMA neurology 79 (5), 468-477, 2022
Human detection in indoor environments using multiple visual cues and a mobile robot
S Pszczółkowski, A Soto
Progress in Pattern Recognition, Image Analysis and Applications: 12th …, 2007
Accumulation of brain hypointense foci on susceptibility-weighted imaging in childhood ataxia telangiectasia
RA Dineen, CV Blanchard, S Pszczolkowski, S Paine, M Prasad, G Chow, ...
American Journal of Neuroradiology 42 (6), 1144-1150, 2021
Connectivity guided theta burst transcranial magnetic stimulation versus repetitive transcranial magnetic stimulation for treatment-resistant moderate to severe depression …
R Morriss, L Webster, M Abdelghani, DP Auer, S Barber, P Bates, ...
BMJ open 10 (7), e038430, 2020
A robust similarity measure for nonrigid image registration with outliers
S Pszczolkowski, S Zafeiriou, C Ledig, D Rueckert
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 568-571, 2014
Multi-modal neuroimaging pipelines for data preprocessing
AR Mohammadi-Nejad, S Pszczolkowski, D Auer, S Sotiropoulos, 2020
Automatic quantification of haematoma and surrounding oedema in MRI of acute spontaneous intracerebral haemorrhage: Preliminary results for the TICH-2 MRI sub-study
S Pszczolkowski, RG Gallagher, ZK Law, D Meng, DJ Swienton, ...
Proceedings of ISMRM 4725, 2017
Fast and robust methods for non-rigid registration of medical images
S Pszczolkowski
Imperial College London, 2015
Connectivity-Guided Theta Burst Transcranial Magnetic Stimulation Versus Repetitive Transcranial Magnetic Stimulation for Treatment-Resistant Moderate to Severe Depression …
S Pszczolkowski, WJ Cottam, PM Briley, SJ Iwabuchi, C Kaylor-Hughes, ...
JMIR Research Protocols 11 (1), e31925, 2022
Ensemble learning for robust knee cartilage segmentation: data from the osteoarthritis initiative
EJ Peake, R Chevasson, S Pszczolkowski, DP Auer, C Arthofer
BioRxiv, 2020.09. 01.267872, 2020
Ant colony clustering for ROI identification in functional magnetic resonance imaging
A Veloz, A Weinstein, S Pszczolkowski, L Hernández-García, R Olivares, ...
Computational Intelligence and Neuroscience 2019, 2019
Semantic Segmentation of Spontaneous Intracerebral Hemorrhage, Intraventricular Hemorrhage, and Associated Edema on CT Images Using Deep Learning
YE Kok, S Pszczolkowski, ZK Law, A Ali, K Krishnan, PM Bath, N Sprigg, ...
Radiology: Artificial Intelligence 4 (6), e220096, 2022
Recruitment challenges in MRI studies of acute intracerebral haemorrhage: experience from the TICH-2 MRI substudy
S Pszczolkowski, PMW Bath, N Sprigg, RA Dineen
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