Leaderboards/Digital Imaging for Blood Diseases

Digital Imaging for Blood Diseases

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Hugo Touvron
Meta (Israel)
2
Abeer Saber
Damietta University
3
Erena Siyoum Biratu
Addis Ababa Science and Technology University
4
Law Kumar Singh
The NorthCap University
5
G. Kalyani
Siddhartha Medical College
6
Wejdan L. Alyoubi
King Abdulaziz University
7
Fabian Hörst
Essen University Hospital
8
Renkai Wu
Shanghai University
9
Atika Akter
Jahangirnagar University
10
Ruhan Liu
Central South University

Rising Stars Papers

1
CellViT: Vision Transformers for precise cell segmentation and classification
Medical Image Analysis|2024
282 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
An optimized ensemble model based on meta-heuristic algorithms for effective detection and classification of breast tumors
Neural Computing and Applications|2024
57 cit.
5
An enhanced soft-computing based strategy for efficient feature selection for timely breast cancer prediction: Wisconsin Diagnostic Breast Cancer dataset case
Multimedia Tools and Applications|2024
44 cit.
6
Feature subset selection through nature inspired computing for efficient glaucoma classification from fundus images
Multimedia Tools and Applications|2024
32 cit.
7
Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images
New Generation Computing|2024
30 cit.
8
SK-VM++: Mamba assists skip-connections for medical image segmentation
Biomedical Signal Processing and Control|2025
28 cit.
9
A three-stage novel framework for efficient and automatic glaucoma classification from retinal fundus images
Multimedia Tools and Applications|2024
23 cit.
10
Leveraging ensemble convolutional neural networks and metaheuristic strategies for advanced kidney disease screening and classification
Scientific Reports|2025
18 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Shivajirao M. Jadhav
Dr. Babasaheb Ambedkar Technological University
2
Ran Su
Tianjin University
3
Md. Milon Islam
Khulna University of Engineering and Technology
4
Teresa Araújo
Christian Doppler Laboratory for Thermoelectricity
5
Suha Kwak
Pohang University of Science and Technology
6
Amanullah Asraf
Khulna University of Engineering and Technology
7
Waqas Jadoon
COMSATS University Islamabad
8
Foad Kazemi
Johns Hopkins University
9
Zhouping Huang
Southwest University
10
Vaishnavi Singh
Institute of Management Technology

Emerging Leaders Papers

1
Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things
Information Fusion|2023
181 cit.
2
Internet of Things: Device Capabilities, Architectures, Protocols, and Smart Applications in Healthcare Domain
IEEE Internet of Things Journal|2022
156 cit.
3
Semi-supervised Semantic Segmentation with Error Localization Network
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
112 cit.
4
Style Neophile: Constantly Seeking Novel Styles for Domain Generalization
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
101 cit.
5
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
77 cit.
6
Improving Cross-Modal Retrieval with Set of Diverse Embeddings
Unknown Journal|2023
68 cit.
7
Detector-Free Weakly Supervised Group Activity Recognition
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
62 cit.
8
Smart-Data-Driven System for Alzheimer Disease Detection through Electroencephalographic Signals
Bioengineering|2022
50 cit.
9
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation
Expert Systems with Applications|2023
48 cit.
10
Diagnosis of COVID-19 from X-rays using combined CNN-RNN architecture with transfer learning
BenchCouncil Transactions on Benchmarks Standards and Evaluations|2022
45 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Khalid Mohiuddin
King Khalid University
2
Kang Zhang
Chinese Academy of Sciences
3
Bram van Ginneken
Radboud University Nijmegen
4
Laurent Heutte
Normandie Université
5
Robert R. Recker
Creighton University
6
Thomas J. Fuchs
Icahn School of Medicine at Mount Sinai
7
Anant Madabhushi
Emory University
8
Pheng‐Ann Heng
Chinese University of Hong Kong
9
Olaf Ronneberger
Google DeepMind (United Kingdom)
10
Yalin Zheng
University of Liverpool

Current Senior Leaders Papers

1
Bone histomorphometry: Standardization of nomenclature, symbols, and units: Report of the asbmr histomorphometry nomenclature committee
Journal of Bone and Mineral Research|1987
5k cit.
2
Artificial neural networks: a tutorial
Computer|1996
4.9k cit.
3
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
Cell|2018
4.7k cit.
4
Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates
Molecular Cell|2012
4.5k cit.
5
Ridge-Based Vessel Segmentation in Color Images of the Retina
IEEE Transactions on Medical Imaging|2004
4.1k cit.
6
Bone Histomorphometry : Standardization of Nomenclature, Symbols, and Units
Journal of Bone and Mineral Research|1987
3.3k cit.
7
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Nature Medicine|2019
2.6k cit.
8
Clinically applicable deep learning for diagnosis and referral in retinal disease
Nature Medicine|2018
2.6k cit.
9
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
IEEE Transactions on Medical Imaging|2018
2.5k cit.
10
U-Net: deep learning for cell counting, detection, and morphometry
Nature Methods|2018
2k cit.

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