Ming-Kai Chen

MedicineNeuroscience

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 19 papers. Top paper: “Partial volume correction analysis for 11C-UCB-J PET studies of Alzheimer's disease”.

Partial volume correction analysis for 11C-UCB-J PET studies of Alzheimer's disease

NeuroImage(2021)10.1016/j.neuroimage.2021.118248

N/A

1.4DataRank · unranked

35 citations

Takuya Toyonaga, Mika Naganawa, Jean‐Dominique Gallezot, Ming-Kai Chen, Adam P. Mecca +3 more

Association of Aβ deposition and regional synaptic density in early Alzheimer’s disease: a PET imaging study with [11C]UCB-J

Alzheimer s Research & Therapy(2021)10.1186/s13195-020-00742-y

N/A

0.702DataRank · unranked

107 citations

Adam P. Mecca, Ming-Kai Chen, Mika Naganawa, Takuya Toyonaga, Yihuan Lu +15 more

Drug characteristics derived from kinetic modeling: combined 11C-UCB-J human PET imaging with levetiracetam and brivaracetam occupancy of SV2A

EJNMMI Research(2022)10.1186/s13550-022-00944-5

N/A

0.385DataRank · unranked

12 citations

Jean‐Dominique Gallezot, Sjoerd J. Finnema, R. P. Maguire, Joël Mercier, Nabeel Nabulsi +10 more

MCP-Net: Introducing Patlak Loss Optimization to Whole-Body Dynamic PET Inter-Frame Motion Correction

IEEE Transactions on Medical Imaging(2023)10.1109/tmi.2023.3290003

N/A

0.364DataRank · unranked

9 citations

Bo Zhou, Xiongchao Chen, Ming-Kai Chen, Chi Liu, Nicha C. Dvornek +1 more

Dose-aware Diffusion Model for 3D PET Image Denoising: Multi-institutional Validation with Reader Study and Real Low-dose Data

arXiv (Cornell University)(2024)10.48550/arxiv.2405.12996

N/A

0.241DataRank · unranked

4 citations

Weijie Gan, Reimund Bayerlein, Bo Zhou, Ming-Kai Chen, Michal Kulon +22 more

Anatomically and metabolically informed diffusion for unified denoising and segmentation in low-count PET imaging

Medical Image Analysis(2025)10.1016/j.media.2025.103831

N/A

0.165DataRank · unranked

2 citations

Kuan‐Yin Ko, Der-Shiun Wang, Ming-Kai Chen, Qiong Liu, Huidong Xie +10 more

Population-based Deep Image Prior for Dynamic PET Denoising

(2023)10.1109/nssmicrtsd49126.2023.10338619

N/A

0.104DataRank · unranked

1 citations

Yu‐Jung Tsai, Jean‐Dominique Gallezot, Xiaoyun Guo, Ming-Kai Chen, Darko Pucar +9 more

Assessment of Gray Matter Microstructure and Synaptic Density in Alzheimer's Disease: A Multimodal Imaging Study With DTI and SV2A PET

American Journal of Geriatric Psychiatry(2023)10.1016/j.jagp.2023.08.002

N/A

0DataRank · unranked

22 citations

Elaheh Salardini, Ryan S. O’Dell, Ming-Kai Chen, Jocelyn Ra, Jamie K. Georgelos +10 more

Generation of Whole-Body FDG Parametric K i Images From Static PET Images Using Deep Learning

IEEE Transactions on Radiation and Plasma Medical Sciences(2023)10.1109/trpms.2023.3243576

N/A

0DataRank · unranked

9 citations

Bo Zhou, Juan Liu, Xueqi Guo, Qiong Liu, Huidong Xie +6 more

Population-based deep image prior for dynamic PET denoising: A data-driven approach to improve parametric quantification

Medical Image Analysis(2024)10.1016/j.media.2024.103180

N/A

0DataRank · unranked

17 citations

Yu‐Jung Tsai, Jean‐Dominique Gallezot, Xueqi Guo, Ming-Kai Chen, Darko Pucar +10 more

Synaptic density patterns in early Alzheimer’s disease assessed by independent component analysis

Brain Communications(2024)10.1093/braincomms/fcae107

N/A

0DataRank · unranked

7 citations

Nakul Ravi Raval, Ryan S. O’Dell, Mika Naganawa, Adam P. Mecca, Ming-Kai Chen +3 more

Patlak-Guided Self-Supervised Learning for Dynamic PET Denoising

(2024)10.1109/nss/mic/rtsd57108.2024.10655866

N/A

0DataRank · unranked

0 citations

Xiaoyun Guo, Yu‐Jung Tsai, J.-D. Gallezot, Ming-Kai Chen, Lei Guo +7 more

The regional pattern of age-related synaptic loss in the human brain differs from gray matter volume loss: in vivo PET measurement with [11C]UCB-J

European Journal of Nuclear Medicine and Molecular Imaging(2023)10.1007/s00259-023-06487-8

N/A

0DataRank · unranked

31 citations

Nikkita Khattar, Yanjun Wu, Yihuan Lu, Mika Naganawa, Jean‐Dominique Gallezot +16 more

PET Image Denoising Using a Deep-Learning Method for Extremely Obese Patients

IEEE Transactions on Radiation and Plasma Medical Sciences(2021)10.1109/trpms.2021.3131999

N/A

0DataRank · unranked

14 citations

Hamed Yousefi, Niloufar Mirian, MingDe Lin, David Ménard, Matthew Gregory +8 more

Deep learning–based attenuation correction for whole-body PET — a multi-tracer study with 18F-FDG, 68 Ga-DOTATATE, and 18F-Fluciclovine

European Journal of Nuclear Medicine and Molecular Imaging(2022)10.1007/s00259-022-05748-2

N/A

0DataRank · unranked

25 citations

Dan Shao, Luyao Shi, Jiazhen Zhang, Enette Mae Revilla, David Ménard +6 more

Inter-Pass Motion Correction for Whole-Body Dynamic PET and Parametric Imaging

IEEE Transactions on Radiation and Plasma Medical Sciences(2022)10.1109/trpms.2022.3227576

N/A

0DataRank · unranked

11 citations

Jing Wu, Ming-Kai Chen, Qiong Liu, John A. Onofrey, Darko Pucar +6 more

Nicotine Patch Alters Patterns of Cigarette Smoking-Induced Dopamine Release: Patterns Relate to Biomarkers Associated With Treatment Response

Nicotine & Tobacco Research(2022)10.1093/ntr/ntac026

N/A

0DataRank · unranked

10 citations

Heather Liu, Hong Gao, Soheila Najafzadeh, Jim Ropchan, Nabeel Nabulsi +6 more

Systemic inflammation enhances stimulant-induced striatal dopamine elevation in tobacco smokers

Brain Behavior and Immunity(2022)10.1016/j.bbi.2022.08.016

N/A

0DataRank · unranked

5 citations

Jocelyn Hoye, J. Ryan Petrulli, Brittany LeVasseur, G.L. Stanley, Hong Gao +13 more

Assessment of population-based input functions for Patlak imaging of whole body dynamic 18F-FDG PET

EJNMMI Physics(2020)10.1186/s40658-020-00330-x

N/A

0DataRank · unranked

99 citations

Jean‐Dominique Gallezot, Vijay Shah, Tim Mulnix, Colin R. Young, Mark Dias +4 more