Leaderboards/AI in cancer detection

AI in cancer detection

Last updated July 15, 2026

Rising Stars

Fresh ink, massive impact

Researchers

1
Junde Wu
National University of Singapore
2
Hanwen Xu
University of Washington
3
Patrick Bilic
Technical University of Munich
4
Ailiang Lin
Shenzhen Institute of Information Technology
5
Jinxi Xiang
Stanford University
6
Renkai Wu
Shanghai University
7
Kiran Jabeen
HITEC University
8
Janani Venugopalan
Georgia Institute of Technology
9
Fenghe Tang
University of Science and Technology Chittagong
10
Karin Dembrower
Karolinska Institutet

Papers

1
A whole-slide foundation model for digital pathology from real-world data
Nature|2024
652 cit.
2
Medical SAM adapter: Adapting segment anything model for medical image segmentation
Medical Image Analysis|2025
334 cit.
3
Publication in Nature (2025) [169 citations, W4406168947]
Nature|2025
169 cit.
4
H-vmunet: High-order Vision Mamba UNet for medical image segmentation
Neurocomputing|2025
155 cit.
5
Publication (2024) [129 citations, W4401749301]
Unknown Journal|2024
129 cit.
6
UltraLight VM-UNet: Parallel Vision Mamba significantly reduces parameters for skin lesion segmentation
Patterns|2025
127 cit.
7
Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented Generation
Unknown Journal|2025
54 cit.
8
Publication in Frontiers in Oncology (2024) [36 citations, W4392056032]
Frontiers in Oncology|2024
36 cit.
9
One-Prompt to Segment All Medical Images
Unknown Journal|2024
35 cit.
10
SK-VM++: Mamba assists skip-connections for medical image segmentation
Biomedical Signal Processing and Control|2025
28 cit.

Emerging Leaders

Drafting the new consensus

Researchers

1
Roberto A. Novoa
Stanford University
2
Özal Yıldırım
Fırat University
3
Rui Venâncio
Centre National de la Recherche Scientifique
4
Shravya Shetty
Google (United States)
5
Alexander Lerchner
Google (United States)
6
Narges Razavian
New York University
7
Tzani A. Mpesiana
University of Patras
8
Jakob Nikolas Kather
Heidelberg University
9
Geert Litjens
Radboud University Nijmegen
10
Krzysztof J. Geras
Circulatory Technology (United States)

Papers

1
Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study
Cancer Cell|2023
247 cit.
2
Swarm learning for decentralized artificial intelligence in cancer histopathology
Nature Medicine|2022
209 cit.
3
Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs
Scientific Reports|2022
175 cit.
4
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology
Medical Image Analysis|2022
173 cit.
5
In-context learning enables multimodal large language models to classify cancer pathology images
Nature Communications|2024
132 cit.
6
Improving breast cancer diagnostics with deep learning for MRI
Science Translational Medicine|2022
126 cit.
7
Adversarial attacks and adversarial robustness in computational pathology
Nature Communications|2022
110 cit.
8
Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology
Nature Cancer|2025
108 cit.
9
Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application
ESMO Open|2022
107 cit.
10
Extracting structured information from unstructured histopathology reports using generative pre‐trained transformer 4 ( <scp>GPT</scp> ‐4)
The Journal of Pathology|2023
106 cit.

Current Senior Leaders

Wrote the book, still writing it

Researchers

1
Sebastian Thrun
Stanford University
2
Taghi M. Khoshgoftaar
Florida Atlantic University
3
Anant Madabhushi
Emory University
4
Manuel Salto‐Tellez
Queen's University Belfast
5
Hedvig Hricak
Memorial Sloan Kettering Cancer Center
6
Karl Friston
Queen Mary University of London
7
Pheng‐Ann Heng
Chinese University of Hong Kong
8
Dinggang Shen
ShanghaiTech University
9
Faisal Mahmood
Broad Institute
10
Nasir Rajpoot
Warwick Analytics (United Kingdom)

Papers

1
Dermatologist-level classification of skin cancer with deep neural networks
Nature|2017
13.8k cit.
2
A survey on Image Data Augmentation for Deep Learning
Journal Of Big Data|2019
12.4k cit.
3
Statistical parametric maps in functional imaging: A general linear approach
Human Brain Mapping|1994
9.8k cit.
4
Radiomics: Images Are More than Pictures, They Are Data
Radiology|2015
8.3k cit.
5
Probabilistic robotics
Communications of the ACM|2002
8k cit.
6
Unified segmentation
NeuroImage|2005
7.5k cit.
7
Dynamic causal modelling
NeuroImage|2003
4.7k cit.
8
Movement‐Related effects in fMRI time‐series
Magnetic Resonance in Medicine|1996
3.9k cit.
9
Spatial registration and normalization of images
Human Brain Mapping|1995
3.8k cit.
10
The dynamic window approach to collision avoidance
IEEE Robotics & Automation Magazine|1997
3.6k cit.

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