Articles with public access mandates - John A. OnofreyLearn more
Not available anywhere: 9
An investigation of quantitative accuracy for deep learning based denoising in oncological PET
W Lu, JA Onofrey, Y Lu, L Shi, T Ma, Y Liu, C Liu
Physics in Medicine & Biology 64 (16), 165019, 2019
Mandates: US National Institutes of Health, National Natural Science Foundation of China
Data-driven voluntary body motion detection and non-rigid event-by-event correction for static and dynamic PET
Y Lu, JD Gallezot, M Naganawa, S Ren, K Fontaine, J Wu, JA Onofrey, ...
Physics in Medicine & Biology 64 (6), 065002, 2019
Mandates: US National Institutes of Health
Noise reduction with cross-tracer and cross-protocol deep transfer learning for low-dose PET
H Liu, J Wu, W Lu, JA Onofrey, YH Liu, C Liu
Physics in Medicine & Biology 65 (18), 185006, 2020
Mandates: US National Institutes of Health
Deep learning-based attenuation map generation with simultaneously reconstructed PET activity and attenuation and low-dose application
L Shi, J Zhang, T Toyonaga, D Shao, JA Onofrey, Y Lu
Physics in Medicine & Biology 68 (3), 035014, 2023
Mandates: US National Institutes of Health
Better feature matching for placental panorama construction
P Sadda, JA Onofrey, MO Bahtiyar, X Papademetris
Data Driven Treatment Response Assessment and Preterm, Perinatal, and …, 2018
Mandates: US National Institutes of Health
Multi-Task Deep Learning and Uncertainty Estimation for Pet Head Motion Correction
EV Lieffrig, T Zeng, J Zhang, K Fontaine, X Fang, E Revilla, Y Lu, ...
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
Mandates: US National Institutes of Health
Integrating Prostate Specific Antigen Density Biomarker Into Deep Learning Prostate MRI Lesion Segmentation Models
J Zhong, LH Staib, R Venkataraman, JA Onofrey
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
Mandates: US National Institutes of Health
Multi-tracer Deep Learning for PET Head Motion Correction
EV Lieffrig, T Zeng, J Zhang, X Fang, E Revilla, Y Lu, JA Onofrey
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022
Mandates: US National Institutes of Health
An Adaptive Patch Sampling Scheme for Deep Learning Based PET Image Denoising
J Wu, H Tan, H Liu, C Liu, JA Onofrey
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022
Mandates: National Natural Science Foundation of China
Available somewhere: 43
Deep learning-based attenuation map generation for myocardial perfusion SPECT
L Shi, JA Onofrey, H Liu, YH Liu, C Liu
European Journal of Nuclear Medicine and Molecular Imaging 47, 2383-2395, 2020
Mandates: US National Institutes of Health, American Heart Association
Respiratory Motion Compensation for PET/CT with Motion Information Derived from Matched Attenuation-Corrected Gated PET Data
Y Lu, K Fontaine, T Mulnix, JA Onofrey, S Ren, V Panin, J Jones, ...
Journal of Nuclear Medicine 59 (9), 1480-1486, 2018
Mandates: US National Institutes of Health
Generalizable Multi-Site Training and Testing Of Deep Neural Networks Using Image Normalization
JA Onofrey, DI Casetti-Dinescu, AD Lauritzen, S Sarkar, R Venkataraman, ...
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
Mandates: US National Institutes of Health
Incremental learning meets transfer learning: Application to multi-site prostate mri segmentation
C You, J Xiang, K Su, X Zhang, S Dong, J Onofrey, L Staib, JS Duncan
International Workshop on Distributed, Collaborative, and Federated Learning …, 2022
Mandates: US National Institutes of Health
Non-rigid event-by-event continuous respiratory motion compensated list-mode reconstruction for PET
C Chan, J Onofrey, Y Jian, M Germino, X Papademetris, RE Carson, C Liu
IEEE transactions on medical imaging 37 (2), 504-515, 2017
Mandates: US National Institutes of Health
Brainhack: Developing a culture of open, inclusive, community-driven neuroscience
R Gau, S Noble, K Heuer, KL Bottenhorn, IP Bilgin, YF Yang, ...
Neuron 109 (11), 1769-1775, 2021
Mandates: US National Institutes of Health, UK Medical Research Council, Wellcome …
Deep-learned placental vessel segmentation for intraoperative video enhancement in fetoscopic surgery
P Sadda, M Imamoglu, M Dombrowski, X Papademetris, MO Bahtiyar, ...
International journal of computer assisted radiology and surgery 14, 227-235, 2019
Mandates: US National Institutes of Health
Low-dimensional non-rigid image registration using statistical deformation models from semi-supervised training data
JA Onofrey, X Papademetris, LH Staib
IEEE transactions on medical imaging 34 (7), 1522-1532, 2015
Mandates: US National Institutes of Health
Learning Non-rigid Deformations for Robust, Constrained Point-based Registration in Image-Guided MR-TRUS Prostate Intervention
JA Onofrey, LH Staib, S Sarkar, R Venkataraman, CB Nawaf, PC Sprenkle, ...
Medical Image Analysis 39, 29-43, 2017
Mandates: US National Institutes of Health
Supervised machine learning in oncology: a clinician's guide
N Murali, A Kucukkaya, A Petukhova, J Onofrey, J Chapiro
Digestive disease interventions 4 (01), 073-081, 2020
Mandates: US National Institutes of Health
Deep learning–based attenuation correction for whole-body PET — a multi-tracer study with 18F-FDG, 68 Ga-DOTATATE, and 18F-Fluciclovine
T Toyonaga, D Shao, L Shi, J Zhang, EM Revilla, D Menard, J Ankrah, ...
European Journal of Nuclear Medicine and Molecular Imaging 49 (9), 3086-3097, 2022
Mandates: US National Institutes of Health
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