| Transmorph: Transformer for unsupervised medical image registration J Chen, EC Frey, Y He, WP Segars, Y Li, Y Du Medical image analysis 82, 102615, 2022 | 198 | 2022 |
| ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration J Chen, Y He, EC Frey, Y Li, Y Du Medical Imaging with Deep Learning, 2021 | 136 | 2021 |
| Dose estimation in pediatric nuclear medicine FH Fahey, AB Goodkind, D Plyku, K Khamwan, SE O’Reilly, X Cao, ... Seminars in nuclear medicine 47 (2), 118-125, 2017 | 37 | 2017 |
| Generating anthropomorphic phantoms using fully unsupervised deformable image registration with convolutional neural networks J Chen, Y Li, Y Du, EC Frey Medical physics 47 (12), 6366-6380, 2020 | 24 | 2020 |
| Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks J Chen, Y Li, LP Luna, HW Chung, SP Rowe, Y Du, LB Solnes, EC Frey Medical physics 48 (7), 3860-3877, 2021 | 17 | 2021 |
| A projection image database to investigate factors affecting image quality in weight-based dosing: application to pediatric renal SPECT Y Li, S O’Reilly, D Plyku, ST Treves, Y Du, F Fahey, X Cao, AK Jha, ... Physics in Medicine & Biology 63 (14), 145004, 2018 | 13 | 2018 |
| Current pediatric administered activity guidelines for 99mTc‐DMSA SPECT based on patient weight do not provide the same task‐based image quality Y Li, S O'Reilly, D Plyku, ST Treves, F Fahey, Y Du, X Cao, ... Medical physics 46 (11), 4847-4856, 2019 | 12 | 2019 |
| The effect of attenuation map, scatter energy window width, and volume of interest on the calibration factor calculation in quantitative 177Lu SPECT imaging: Simulation and … SZ Elham Karimi Ghodoosi, Calogero D'Alessandria, Ye Li, Alexandra Bartel ... Physica Medica 56, 74-80, 2018 | 12 | 2018 |
| Spach transformer: spatial and channel-wise transformer based on local and global self-attentions for pet image denoising SI Jang, T Pan, Y Li, P Heidari, J Chen, Q Li, K Gong IEEE transactions on medical imaging, 2023 | 11 | 2023 |
| Body morphometry appropriate computational phantoms for dose and risk optimization in pediatric renal imaging with Tc-99m DMSA and Tc-99m MAG3 JL Brown, B Sexton-Stallone, Y Li, EC Frey, ST Treves, FH Fahey, D Plyku, ... Physics in Medicine & Biology 65 (23), 235026, 2020 | 8 | 2020 |
| A neural network approach to analyze cross-sections of muscle fibers in pathological images Y Li, Z Yang, Y Wang, X Cao, X Xu Computers in biology and medicine 104, 97-104, 2019 | 8 | 2019 |
| Development of a defect model for renal pediatric SPECT imaging research Y Li, S O'Reilly, D Plyku, X Cao, F Fahey, WE Bolch, ST Treves, ... 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2016 | 8 | 2016 |
| SwinCross: Cross-modal Swin transformer for head-and-neck tumor segmentation in PET/CT images GY Li, J Chen, SI Jang, K Gong, Q Li Medical physics 51 (3), 2096-2107, 2024 | 6 | 2024 |
| DeepAMO: a multi-slice, multi-view anthropomorphic model observer for visual detection tasks performed on volume images Y Li, J Chen, JL Brown, ST Treves, X Cao, FH Fahey, G Sgouros, ... Journal of Medical Imaging 8 (4), 041204-041204, 2021 | 6 | 2021 |
| Renal 99mTc-DMSA pharmacokinetics in pediatric patients D Plyku, M Ghaly, Y Li, JL Brown, S O’Reilly, K Khamwan, AB Goodkind, ... EJNMMI physics 8, 1-12, 2021 | 5 | 2021 |
| Dosimetric considerations of 99mTc-MDP uptake within the epiphyseal plates of the long bones of pediatric patients JL Brown, B Sexton-Stallone, Y Li, EC Frey, ST Treves, FH Fahey, D Plyku, ... Physics in Medicine & Biology 65 (23), 235025, 2020 | 4 | 2020 |
| Weakly semi-supervised detection in lung ultrasound videos J Ouyang, L Chen, GY Li, N Balaraju, S Patil, C Mehanian, S Kulhare, ... International Conference on Information Processing in Medical Imaging, 195-207, 2023 | 3 | 2023 |
| A Noise-Level-Aware Framework for PET Image Denoising Y Li, J Cui, J Chen, G Zeng, S Wollenweber, F Jansen, SI Jang, K Kim, ... International Workshop on Machine Learning for Medical Image Reconstruction …, 2022 | 3 | 2022 |
| PET image denoising based on transformer: evaluations on datasets of multiple tracers SI Jang, T Pan, GY Li, J Chen, Q Li, K Gong Journal of Nuclear Medicine 63 (supplement 2), 2257-2257, 2022 | 3 | 2022 |
| A fully unsupervised approach to create patient-like phantoms via Convolutional neural networks J Chen, Y Li, E Frey Journal of Nuclear Medicine 61 (supplement 1), 522-522, 2020 | 2 | 2020 |
Eric C FreyJohns Hopkins UniversityVerified email at jhmi.edu
