Leaderboards/Radiomics and Machine Learning in Medical Imaging

Radiomics and Machine Learning in Medical Imaging

Last updated June 1, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Junkai Chen
Wenzhou Hospital of Traditional Chinese Medicine
99
2
Saritha Unnikrishnan
Intelligent Systems Research (United States)
95
3
Dimitrios I. Fotiadis
University of Ioannina
93
4
Habib Zaidi
Obuda University
82
5
Riyue Jiang
Nanjing Medical University
80
6
Chaoshi Niu
Unknown
79
7
Xiance Jin
Wenzhou Medical University
77
8
Yu‐Dong Zhang
Nanjing University of Science and Technology
76
9
Shouju Wang
Jiangsu Province Hospital
75
10
Youhua Wang
Southwest Medical University
66

Rising Stars Papers

Insufficient data

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Yusheng Guo
Union Hospital
99
2
Teodora Telecan
Iuliu Hațieganu University of Medicine and Pharmacy
99
3
Yongjie Zhou
Jiangxi Provincial Cancer Hospital
91
4
Zhijin He
University of Wisconsin–Madison
80
5
Tie Deng
Chongqing Emergency Medical Center
69
6
Jiayi Liu
Nanjing Medical University
69
7
Mohammad R. Salmanpour
University of British Columbia Hospital
69
8
Jiaojiao Tai
Xi'an Honghui Hospital
67
9
Zhichao Zuo
Xiangyang Central Hospital
59
10
Khashayar Namdar
University of Toronto
59

Emerging Leaders Papers

1
USP35 promotes hepatocellular carcinoma progression by protecting PKM2 from ubiquitination‑mediated degradation
International Journal of Oncology|2023
25 cit.

All-Time Leaders

The canon

All-Time Leaders Researchers

1
Hugo J.W.L. Aerts
Brigham and Women's Hospital
99
2
Charles Ferté
CentraleSupélec
92
3
Arman Rahmim
BC Cancer Agency
69
4
Guang Yang
East China Normal University
68
5
Maryellen L. Giger
University of Chicago
67
6
Jie Tian
Chinese Academy of Sciences
63
7
Damini Dey
Unknown
61
8
Hai Li
University of Science and Technology of China
60
9
S. Kanaga Suba Raja
SRM Institute of Science and Technology
60
10
Sujit Kumar Das
National Institute Of Technology Silchar
57

All-Time Leaders Papers

1
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges
Theranostics|2019
987 cit.
2
Disparity Between In Vivo EGFR Expression and <sup>89</sup>Zr-Labeled Cetuximab Uptake Assessed with PET
Journal of Nuclear Medicine|2008
194 cit.
3
Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features
Scientific Reports|2015
91 cit.
4
Radiographic texture analysis of densitometric calcaneal images: Relationship to clinical characteristics and to bone fragility
Journal of Bone and Mineral Research|2009
24 cit.
5
Truncated Total Least Squares Method with a Practical Truncation Parameter Choice Scheme for Bioluminescence Tomography Inverse Problem
International Journal of Biomedical Imaging|2010
21 cit.
6
Sparse Regularization-Based Reconstruction for Bioluminescence Tomography Using a Multilevel Adaptive Finite Element Method
International Journal of Biomedical Imaging|2010
18 cit.
7
Molecular imaging of biologic characteristics and drug uptake : towards personalized medicine using dose painting
Unknown Journal|2010
0 cit.

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