Leaderboards/COVID-19 diagnosis using AI

COVID-19 diagnosis using AI

Last updated July 15, 2026

Rising Stars

Fresh ink, massive impact

Researchers

1
Peter Lee
Microsoft (United States)
2
Chris Stokel-Walker
Newcastle upon Tyne Hospital
3
Shiva Maleki Varnosfaderani
Wayne State University
4
Haonan Wang
Shanghai University
5
Junaid Bajwa
University of British Columbia
6
Abid Haleem
Jamia Millia Islamia
7
Stefanie Warnat‐Herresthal
University of Bonn
8
Zhikang Liu
University of Science and Technology of China
9
Peng-Tao Jiang
China Mobile (China)
10
Renkai Wu
Shanghai University

Papers

1
The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century
Bioengineering|2024
770 cit.
2
H-vmunet: High-order Vision Mamba UNet for medical image segmentation
Neurocomputing|2025
155 cit.
3
UltraLight VM-UNet: Parallel Vision Mamba significantly reduces parameters for skin lesion segmentation
Patterns|2025
127 cit.
4
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation
Neural Networks|2024
119 cit.
5
Encouraging Safety 4.0 to enhance industrial culture: An extensive study of its technologies, roles, and challenges
Green Technologies and Sustainability|2024
28 cit.
6
SK-VM++: Mamba assists skip-connections for medical image segmentation
Biomedical Signal Processing and Control|2025
28 cit.
7
Publication in IEEE Journal of Biomedical and Health Informatics (2024) [14 citations, W4402401613]
IEEE Journal of Biomedical and Health Informatics|2024
14 cit.
8
AI driven psychosis and suicide are on the rise, but what happens if we turn the chatbots off?
BMJ|2025
14 cit.
9
Publication in IEEE Journal of Biomedical and Health Informatics (2024) [10 citations, W4400352052]
IEEE Journal of Biomedical and Health Informatics|2024
10 cit.
10
The “ambient scribe” tools listening to and summarising your doctor-patient consultations
BMJ|2025
10 cit.

Emerging Leaders

Drafting the new consensus

Researchers

1
Alexander A. Alemi
Google (United States)
2
Laith Farhan
Manchester Metropolitan University
3
Özal Yıldırım
Fırat University
4
Daguang Xu
Nvidia (United States)
5
Hong Shan
Sun Yat-sen University
6
Michael Chung
Pharmac
7
Tzani A. Mpesiana
University of Patras
8
Daniel Tse
Google (United States)
9
Matthew P. Lungren
Microsoft (United States)
10
Kwok-Yung Yuen
Hong Kong Baptist University

Papers

1
UNETR: Transformers for 3D Medical Image Segmentation
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)|2022
2.9k cit.
2
fastMRI+, Clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data
Scientific Data|2022
73 cit.
3
Developing medical imaging AI for emerging infectious diseases
Nature Communications|2022
40 cit.
4
RNA Helicase DDX24 Stabilizes LAMB1 to Promote Hepatocellular Carcinoma Progression
Cancer Research|2022
37 cit.
5
An Explainable Vision Transformer Model Based White Blood Cells Classification and Localization
Diagnostics|2023
34 cit.
6
Solvent Exchange Induced In Situ Formed Hydrogel as Liquid Embolic Agents
Advanced Functional Materials|2023
27 cit.
7
MAISI: Medical AI for Synthetic Imaging
Unknown Journal|2025
24 cit.
8
The Current and Future State of AI Interpretation of Medical Images
Obstetrical & Gynecological Survey|2023
17 cit.
9
Structural and biofunctional evaluation of decellularized jellyfish matrices
Journal of Materials Chemistry B|2023
15 cit.
10
Dual‐Targeted Engineered Bacterial Outer Membrane Vesicles for Hepatocellular Carcinoma Immunotherapy
Advanced Functional Materials|2024
15 cit.

Current Senior Leaders

Wrote the book, still writing it

Researchers

1
Jianming Liang
Arizona State University
2
Liming Xia
Tongji Hospital
3
Ronald M. Summers
National Institutes of Health Clinical Center
4
Tony Yu
University of Chicago
5
Kang Zhang
Chinese Academy of Sciences
6
Chang Xu
The University of Sydney
7
U. Rajendra Acharya
University of Southern Queensland
8
Chuansheng Zheng
ShanghaiTech University
9
Dongwei Ren
Tianjin University
10
Wenbin Ji
Tianjin Medical University General Hospital

Papers

1
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Lecture notes in computer science|2018
9k cit.
2
scikit-image: image processing in Python
PeerJ|2014
6.9k cit.
3
Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases
Radiology|2020
6k cit.
4
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
IEEE Transactions on Medical Imaging|2016
5.8k cit.
5
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
Cell|2018
4.7k cit.
6
Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates
Molecular Cell|2012
4.5k cit.
7
GhostNet: More Features From Cheap Operations
Unknown Journal|2020
4.4k cit.
8
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
IEEE Transactions on Medical Imaging|2019
4.1k cit.
9
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Proceedings of the AAAI Conference on Artificial Intelligence|2020
4.1k cit.
10
Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study
The Lancet Infectious Diseases|2020
3.8k cit.

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