Leaderboards/Cutaneous Melanoma Detection and Management

Cutaneous Melanoma Detection and Management

Last updated July 15, 2026

Rising Stars

Fresh ink, massive impact

Researchers

1
Renkai Wu
Shanghai University
2
Irene L. M. Reijers
Oncode Institute
3
Carlos Hernández-Pérez
Universitat Politècnica de Catalunya
4
Juexiao Zhou
Chinese University of Hong Kong, Shenzhen
5
Karar Ali
Interactive Research and Development
6
Duggani Keerthana
National Institute of Technology, Puducherry
7
Aarushi Shah
Unknown
8
Rizwan Ali
Zhejiang University
9
Mostafiz Ahammed
Chandra Shekhar Azad University of Agriculture and Technology
10
Khadija Nawaz
University of Education

Papers

1
BCN20000: Dermoscopic Lesions in the Wild
Scientific Data|2024
175 cit.
2
H-vmunet: High-order Vision Mamba UNet for medical image segmentation
Neurocomputing|2025
155 cit.
3
Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4
Nature Communications|2024
150 cit.
4
UltraLight VM-UNet: Parallel Vision Mamba significantly reduces parameters for skin lesion segmentation
Patterns|2025
127 cit.
5
A novel SpaSA based hyper-parameter optimized FCEDN with adaptive CNN classification for skin cancer detection
Scientific Reports|2024
66 cit.
6
Publication in Scientific Reports (2025) [52 citations, W4408057315]
Scientific Reports|2025
52 cit.
7
SK-VM++: Mamba assists skip-connections for medical image segmentation
Biomedical Signal Processing and Control|2025
28 cit.
8
Publication in IEEE Journal of Biomedical and Health Informatics (2024) [14 citations, W4402401613]
IEEE Journal of Biomedical and Health Informatics|2024
14 cit.
9
Streamline automated biomedical discoveries with agentic bioinformatics
Briefings in Bioinformatics|2025
7 cit.
10
Publication in Engineering Applications of Artificial Intelligence (2024) [4 citations, W4404415442]
Engineering Applications of Artificial Intelligence|2024
4 cit.

Emerging Leaders

Drafting the new consensus

Researchers

1
Roberto A. Novoa
Stanford University
2
Philipp Schrüfer
Universitätsklinikum Würzburg
3
James Jin Kang
Edith Cowan University
4
Mohamed M. Foaud
Zagazig University
5
Toyin Lamina
American Academy of Dermatology
6
Noradin Ghadimi
Islamic Azad University Ardabil
7
Alexander Thiem
Universitätsmedizin Rostock
8
Philipp Tschandl
Simon Fraser University
9
Mamoona Humayun
University of Roehampton
10
Veronica Rotemberg
Memorial Sloan Kettering Cancer Center

Papers

1
Explainable AI for Retinoblastoma Diagnosis: Interpreting Deep Learning Models with LIME and SHAP
Diagnostics|2023
197 cit.
2
Energy Optimization for Smart Cities Using IoT
Applied Artificial Intelligence|2022
149 cit.
3
YOLO-Based Deep Learning Model for Pressure Ulcer Detection and Classification
Healthcare|2023
144 cit.
4
A Transfer Learning Approach with a Convolutional Neural Network for the Classification of Lung Carcinoma
Healthcare|2022
134 cit.
5
Traffic Management: Multi-Scale Vehicle Detection in Varying Weather Conditions Using YOLOv4 and Spatial Pyramid Pooling Network
Electronics|2022
132 cit.
6
Framework for Detecting Breast Cancer Risk Presence Using Deep Learning
Electronics|2023
113 cit.
7
MalBoT-DRL: Malware Botnet Detection Using Deep Reinforcement Learning in IoT Networks
IEEE Internet of Things Journal|2023
95 cit.
8
A Situation Based Predictive Approach for Cybersecurity Intrusion Detection and Prevention Using Machine Learning and Deep Learning Algorithms in Wireless Sensor Networks of Industry 4.0
IEEE Access|2024
94 cit.
9
Autonomous Traffic System for Emergency Vehicles
Electronics|2022
93 cit.
10
Initial Stage COVID-19 Detection System Based on Patients’ Symptoms and Chest X-Ray Images
Applied Artificial Intelligence|2022
87 cit.

Current Senior Leaders

Wrote the book, still writing it

Researchers

1
Sebastian Thrun
Stanford University
2
Boris C. Bastian
University of California, San Francisco
3
John F. Thompson
Melanoma Institute Australia
4
Harald Kittler
Medical University of Vienna
5
Vernon K. Sondak
Advanced Dermatology
6
Claus Garbe
University of Tübingen
7
Martín C. Mihm
Harvard University
8
Allan C. Halpern
Memorial Sloan Kettering Cancer Center
9
Merrick I. Ross
Johns Hopkins University
10
Richard A. Scolyer
The University of Sydney

Papers

1
Dermatologist-level classification of skin cancer with deep neural networks
Nature|2017
13.8k cit.
2
Probabilistic robotics
Communications of the ACM|2002
8k cit.
3
Final Version of 2009 AJCC Melanoma Staging and Classification
Journal of Clinical Oncology|2009
4.6k cit.
4
The dynamic window approach to collision avoidance
IEEE Robotics & Automation Magazine|1997
3.6k cit.
5
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
Queensland's institutional digital repository (The University of Queensland)|2018
2.8k cit.
6
Distinct Sets of Genetic Alterations in Melanoma
New England Journal of Medicine|2005
2.7k cit.
7
Melanoma staging: Evidence‐based changes in the American Joint Committee on Cancer eighth edition cancer staging manual
CA A Cancer Journal for Clinicians|2017
2.3k cit.
8
CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing
PLoS Computational Biology|2016
2.3k cit.
9
The histogenesis and biologic behavior of primary human malignant melanomas of the skin.
PubMed|1969
2.1k cit.
10
Stanley: The robot that won the DARPA Grand Challenge
Journal of Field Robotics|2006
2.1k cit.

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