| 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 | 117 | 2019 |
| 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 | 91 | 2020 |
| 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 | 61 | 2018 |
| 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 | 54 | 2019 |
| 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 | 42 | 2019 |
| 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 | 39 | 2017 |
| 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 | 34 | 2021 |
| 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 | 34 | 2020 |
| A novel loss function incorporating imaging acquisition physics for PET attenuation map generation using deep learning L Shi, JA Onofrey, EM Revilla, T Toyonaga, D Menard, J Ankrah, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 33 | 2019 |
| 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 | 32 | 2022 |
| 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 | 22 | 2015 |
| 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 | 21 | 2019 |
| A fetal fMRI specific motion correction algorithm using 2nd order edge features D Scheinost, JA Onofrey, SH Kwon, SN Cross, G Sze, LR Ment, ... 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 20 | 2018 |
| 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 | 20 | 2017 |
| 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 | 17 | 2020 |
| Generation of synthetic PET images of synaptic density and amyloid from 18F‐FDG images using deep learning R Wang, H Liu, T Toyonaga, L Shi, J Wu, JA Onofrey, YJ Tsai, ... Medical physics 48 (9), 5115-5129, 2021 | 14 | 2021 |
| Dual-branch squeeze-fusion-excitation module for cross-modality registration of cardiac SPECT and CT X Chen, B Zhou, H Xie, X Guo, J Zhang, AJ Sinusas, JA Onofrey, C Liu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 11 | 2022 |
| 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 | 11 | 2022 |
| Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning JA Onofrey, LH Staib, X Papademetris IEEE transactions on medical imaging 38 (2), 596-607, 2018 | 11 | 2018 |
| Supervised Deep Learning for Head Motion Correction in PET T Zeng, J Zhang, E Revilla, EV Lieffrig, X Fang, Y Lu, JA Onofrey International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 10 | 2022 |
Xenophon PapademetrisProfessor Biomedical Informatics & Data Science, and Radiology & Biomedical Imaging, Yale Universityכתובת אימייל מאומתת בדומיין yale.edu
