| Rational diversification of a promoter providing fine-tuned expression and orthogonal regulation for synthetic biology BA Blount, T Weenink, S Vasylechko, T Ellis PloS one 7 (3), e33279, 2012 | 210 | 2012 |
| Convolution-free medical image segmentation using transformers D Karimi, SD Vasylechko, A Gholipour Medical image computing and computer assisted intervention–MICCAI 2021: 24th …, 2021 | 122 | 2021 |
| Self‐supervised IVIM DWI parameter estimation with a physics based forward model SD Vasylechko, SK Warfield, O Afacan, S Kurugol Magnetic resonance in medicine 87 (2), 904-914, 2022 | 32 | 2022 |
| T2* relaxometry of fetal brain at 1.5 Tesla using a motion tolerant method S Vasylechko, C Malamateniou, RG Nunes, M Fox, J Allsop, M Rutherford, ... Magnetic Resonance in Medicine 73 (5), 1795-1802, 2015 | 28 | 2015 |
| Deep learning assisted quantitative assessment of histopathological markers of Alzheimer’s disease and cerebral amyloid angiopathy V Perosa, AA Scherlek, MG Kozberg, L Smith, T Westerling-Bui, CA Auger, ... Acta Neuropathologica Communications 9 (1), 141, 2021 | 14 | 2021 |
| An exploration of task based fMRI in neonates using echo-shifting to allow acquisition at longer TE without loss of temporal efficiency G Ferrazzi, RG Nunes, T Arichi, AS Gaspar, G Barone, A Allievi, ... Neuroimage 127, 298-306, 2016 | 6 | 2016 |
| Improved myelin water fraction mapping with deep neural networks using synthetically generated 3D data SD Vasylechko, SK Warfield, S Kurugol, O Afacan Medical Image Analysis 91, 102966, 2024 | | 2024 |
| Self Supervised Denoising Diffusion Probabilistic Models for Abdominal DW-MRI S Vasylechko, O Afacan, S Kurugol International Workshop on Computational Diffusion MRI, 80-91, 2023 | | 2023 |
| Pygrasp: A standalone python image reconstruction library for DCE‐MRI acquired with radial sampling C Ariyurek, A Koçanaoğulları, CT Sari, S Vasylechko, O Afacan, S Kurugol | | 2023 |
| SynthMap: a generative model for synthesis of 3D datasets for quantitative MRI parameter mapping of myelin water fraction S Vasylechko, SK Warfield, S Kurugol, O Afacan Medical Imaging with Deep Learning, 2022 | | 2022 |
| Slice Level 3D Motion Tracking For Motion Corrected IVIM DW-MRI In Crohn’s Disease SD VASYLECHKO, L LU, C ARIYUREK, J PEREZ-ROSSELLO, ... | | |
| Motion Corrected DW-MRI With 3D Slice Level Motion Estimation In Pediatric Liver Tumors SD VASYLECHKO, L LU, C ARIYUREK, O AFACAN, S KURUGOL | | |
| Respiratory binning with PilotTone Navigator For Motion Compensated Liver DW-MRI SD VASYLECHKO, C ARIYUREK, O AFACAN, S KURUGOL | | |
| Pilot Tone-navigated motion estimation for liver DW-MRI C Ariyurek, S Vasylechko, X Zhong, V Deshpande, M Bush, S Voss, ... | | |
| T2* Measurement of Fetal Brain Using a Motion Tolerant Method S Vasylechko, C Malamateniou, R Nunes, M Fox, J Allsop, M Rutherford, ... | | |
| Synthesizing large scale datasets for training deep neural networks in quantitative mapping of myelin water fraction S Vasylechko, SK Warfield, S Kurugol, O Afacan | | |
| Fetal and neonatal whole brain T2* mapping at 3T S Vasylechko, E Hughes, J Allsop, M Fox, D Rueckert, J Hajnal | | |
| Multi-Component T2 Characterization of Lesions in Pediatric Onset Multiple Sclerosis SD Vasylechko, F Machado-Rivas, C Jaimes, MP Gorman, L Benson, ... | | |
