| Zero TE MR bone imaging in the head F Wiesinger, LI Sacolick, A Menini, SS Kaushik, S Ahn, P Veit‐Haibach, ... Magnetic resonance in medicine 75 (1), 107-114, 2016 | 304 | 2016 |
| Zero-echo-time and Dixon deep pseudo-CT (ZeDD CT): direct generation of pseudo-CT images for pelvic PET/MRI attenuation correction using deep convolutional neural networks with … AP Leynes, J Yang, F Wiesinger, SS Kaushik, DD Shanbhag, Y Seo, ... Journal of Nuclear Medicine 59 (5), 852-858, 2018 | 266* | 2018 |
| Clinical evaluation of zero-echo-time MR imaging for the segmentation of the skull G Delso, F Wiesinger, LI Sacolick, SS Kaushik, DD Shanbhag, M Hüllner, ... Journal of Nuclear Medicine 56 (3), 417-422, 2015 | 164 | 2015 |
| Comparison of 4-class and continuous fat/water methods for whole-body, MR-based PET attenuation correction SD Wollenweber, S Ambwani, AHR Lonn, DD Shanbhag, ... IEEE Transactions on Nuclear Science 60 (5), 3391-3398, 2013 | 116 | 2013 |
| Zero TE‐based pseudo‐CT image conversion in the head and its application in PET/MR attenuation correction and MR‐guided radiation therapy planning F Wiesinger, M Bylund, J Yang, S Kaushik, D Shanbhag, S Ahn, ... Magnetic resonance in medicine 80 (4), 1440-1451, 2018 | 113 | 2018 |
| Hybrid ZTE/Dixon MR‐based attenuation correction for quantitative uptake estimation of pelvic lesions in PET/MRI AP Leynes, J Yang, DD Shanbhag, SS Kaushik, Y Seo, TA Hope, ... Medical physics 44 (3), 902-913, 2017 | 96 | 2017 |
| Evaluation of sinus/edge-corrected zero-echo-time–based attenuation correction in brain PET/MRI J Yang, F Wiesinger, S Kaushik, D Shanbhag, TA Hope, PEZ Larson, ... Journal of Nuclear Medicine 58 (11), 1873-1879, 2017 | 49 | 2017 |
| Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction P Blanc-Durand, M Khalife, B Sgard, S Kaushik, M Soret, A Tiss, ... PloS one 14 (10), e0223141, 2019 | 48 | 2019 |
| Joint estimation of activity and attenuation for PET using pragmatic MR-based prior: application to clinical TOF PET/MR whole-body data for FDG and non-FDG tracers S Ahn, L Cheng, DD Shanbhag, H Qian, SS Kaushik, FP Jansen, ... Physics in Medicine & Biology 63 (4), 045006, 2018 | 41 | 2018 |
| Improving PET/MR brain quantitation with template-enhanced ZTE G Delso, B Kemp, S Kaushik, F Wiesinger, T Sekine Neuroimage 181, 403-413, 2018 | 31 | 2018 |
| Unsupervised-learning-based method for chest MRI–CT transformation using structure constrained unsupervised generative attention networks H Matsuo, M Nishio, M Nogami, F Zeng, T Kurimoto, S Kaushik, ... Scientific reports 12 (1), 11090, 2022 | 18 | 2022 |
| System and method for joint estimation of attenuation and activity information S Ahn, RM Manjeshwar, F Wiesinger, DD Shanbhag, SS Kaushik, H Qian, ... US Patent 9,474,495, 2016 | 17 | 2016 |
| Region of interest focused MRI to synthetic CT translation using regression and segmentation multi-task network SS Kaushik, M Bylund, C Cozzini, D Shanbhag, SF Petit, JJ Wyatt, ... Physics in Medicine & Biology 68 (19), 195003, 2023 | 16 | 2023 |
| Comprehensive dose evaluation of a deep learning based synthetic computed tomography algorithm for pelvic magnetic resonance-only radiotherapy JJ Wyatt, S Kaushik, C Cozzini, RA Pearson, S Petit, M Capala, ... Radiotherapy and Oncology 184, 109692, 2023 | 16 | 2023 |
| Systems and methods for reconstruction of emission activity image S Ahn, L Cheng, F Wiesinger, D Bequé, SS Kaushik, DD Shanbhag US Patent 9,706,972, 2017 | 13 | 2017 |
| Attenuation correction in positron emission tomography using magnetic resonance imaging S Thiruvenkadam, DD Shanbhag, R Mullick, F Wiesinger, SS Kaushik US Patent 9,204,817, 2015 | 12 | 2015 |
| Attenuation coefficient estimation for PET/MRI with Bayesian deep learning pseudo-CT and maximum-likelihood estimation of activity and attenuation AP Leynes, S Ahn, KA Wangerin, SS Kaushik, F Wiesinger, TA Hope, ... IEEE transactions on radiation and plasma medical sciences 6 (6), 678-689, 2021 | 11 | 2021 |
| Assessment of optimal deep learning configuration for vertebrae segmentation from CT images S Dutta, B Das, S Kaushik Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and …, 2019 | 8 | 2019 |
| Systems and methods for magnetic resonance bone depiction F Wiesinger, DD Shanbhag, LI Sacolick, SS Kaushik US Patent 9,594,139, 2017 | 8 | 2017 |
| Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning. L Ruskó, ME Capala, V Czipczer, B Kolozsvári, B Deák-Karancsi, ... BIOIMAGING 2, 31-43, 2021 | 7 | 2021 |
Florian WiesingerGE HealthCare, King’s College London, ETH ZurichVerifisert e-postadresse på ge.com