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Kevin H Leung
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Direct attenuation correction of brain PET images using only emission data via a deep convolutional encoder-decoder (Deep-DAC)
I Shiri, P Ghafarian, P Geramifar, KHY Leung, M Ghelichoghli, M Oveisi, ...
European radiology 29, 6867-6879, 2019
982019
A physics-guided modular deep-learning based automated framework for tumor segmentation in PET
KH Leung, W Marashdeh, R Wray, S Ashrafinia, MG Pomper, A Rahmim, ...
Physics in Medicine & Biology 65 (24), 245032, 2020
552020
A three-stage, deep learning, ensemble approach for prognosis in patients with Parkinson’s disease
KH Leung, SP Rowe, MG Pomper, Y Du
EJNMMI research 11 (1), 1-14, 2021
312021
In vivo MRI of functionalized iron oxide nanoparticles for brain inflammation
T Tang, A Valenzuela, F Petit, S Chow, K Leung, F Gorin, AY Louie, ...
Contrast media & molecular imaging 2018, 2018
292018
Using deep-learning to predict outcome of patients with Parkinson’s disease
KH Leung, MR Salmanpour, A Saberi, IS Klyuzhin, V Sossi, AK Jha, ...
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018
272018
Deep learning and radiomics framework for PSMA-RADS classification of prostate cancer on PSMA PET
KH Leung, SP Rowe, JP Leal, S Ashrafinia, MS Sadaghiani, HW Chung, ...
EJNMMI research 12 (1), 1-15, 2022
142022
A deep-learning-based fully automated segmentation approach to delineate tumors in FDG-PET images of patients with lung cancer
K Leung, W Marashdeh, R Wray, S Ashrafinia, A Rahmim, M Pomper, ...
Journal of Nuclear Medicine 59 (supplement 1), 323-323, 2018
142018
A fully automated deep-learning based method for lesion segmentation in 18F-DCFPyL PSMA PET images of patients with prostate cancer
K Leung, S Ashrafinia, MS Sadaghiani, P Dalaie, R Tulbah, Y Yin, ...
Journal of Nuclear Medicine 60 (supplement 1), 399-399, 2019
102019
PSFNET: ultrafast generation of PSF-modelled-like PET images using deep convolutional neural network
I Shiri, K Leung, P Geramifar, P Ghafarian, M Oveisi, MR Ay, A Rahmim
Journal of Nuclear Medicine 60 (supplement 1), 1369-1369, 2019
102019
UNPLANNED READMISSION PREDICTION USING AN INTERACTIVE AUGMENTED INTELLIGENT (IAI) SYSTEM
M Zhang, G Avinash, Y Häme, A Faisal, K Leung, J Hersh
US Patent App. 16/906,796, 2020
82020
Quantitative Assessment of Binding Affinities for Nanoparticles Targeted to Vulnerable Plaque
T Tang, C Tu, SY Chow, KH Leung, S Du, AY Louie
Bioconjugate chemistry 26 (6), 1086-1094, 2015
82015
HiResPET: high resolution PET image generation using deep convolution encoder decoder network
I Shiri, K Leung, P Ghafarian, P Geramifar, M Oveisi, MR Ay, A Rahmim
Journal of Nuclear Medicine 60 (supplement 1), 1368-1368, 2019
72019
Simultaneous Attenuation Correction and Reconstruction of PET Images Using Deep Convolutional Encoder Decoder Networks from Emission Data
I Shiri, K Leung, P Ghafarian, P Geramifar, M Oveisi, MR Ay, A Rahmim
Journal of Nuclear Medicine 60 (supplement 1), 1370-1370, 2019
72019
Comparison of CNN-based Approaches for Detection of COVID-19 on Chest X-ray Images
KH Leung, SP Rowe, MG Pomper, Y Du
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020
62020
A deep learning-based approach for lesion classification in 3D 18F-DCFPyL PSMA PET images of patients with prostate cancer
K Leung, MS Sadaghiani, P Dalaie, R Tulbah, Y Yin, R VanDenBerg, ...
Journal of Nuclear Medicine 61 (supplement 1), 527-527, 2020
62020
Characterization of Segmented 18F-DCFPyL PET/CT Lesions in the Context of PSMA-RADS Structured Reporting
S Ashrafinia, MS Sadaghiani, P Dalaie, R Tulbah, Y Yin, K Leung, ...
Journal of Nuclear Medicine 60 (supplement 1), 1565-1565, 2019
52019
SPECT Image Reconstruction by a Learnt Neural Network
W Shao, K Leung, M Pomper, Y Du
Journal of Nuclear Medicine 61 (supplement 1), 1478-1478, 2020
42020
A deep learning-based approach for disease detection in the projection space of DAT-SPECT images of patients with Parkinson’s disease
K Leung, W Shao, L Solnes, S Rowe, M Pomper, Y Du
Journal of Nuclear Medicine 61 (supplement 1), 509-509, 2020
42020
A generalized approach to determine confident samples for deep neural networks on unseen data
M Zhang, KH Leung, Z Ma, J Wen, G Avinash
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and …, 2019
42019
Generation of Digital Brain Phantom for Machine Learning Application of Dopamine Transporter Radionuclide Imaging
W Shao, KH Leung, J Xu, JM Coughlin, MG Pomper, Y Du
Diagnostics 12 (8), 1945, 2022
22022
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