Leaderboards/Medical Image Segmentation Techniques

Medical Image Segmentation Techniques

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Haonan Wang
Shanghai University
2
Ailiang Lin
Shenzhen Institute of Information Technology
3
Md Mostafijur Rahman
Tulane University
4
Javaria Amin
Unknown
5
Jiacheng Ruan
Shanghai Jiao Tong University
6
Junde Wu
National University of Singapore
7
Xiwang Xie
Henan University of Engineering
8
Abdelrahman Shaker
Mohamed bin Zayed University of Artificial Intelligence
9
Boah Kim
Sungkyunkwan University
10
Xiangzuo Huo
Tianjin Agricultural University

Rising Stars Papers

1
EMCAD: Efficient Multi-Scale Convolutional Attention Decoding for Medical Image Segmentation
Unknown Journal|2024
388 cit.
2
VM-UNet: Vision Mamba UNet for Medical Image Segmentation
ACM Transactions on Multimedia Computing Communications and Applications|2025
375 cit.
3
UNETR++: Delving Into Efficient and Accurate 3D Medical Image Segmentation
IEEE Transactions on Medical Imaging|2024
362 cit.
4
Medical SAM adapter: Adapting segment anything model for medical image segmentation
Medical Image Analysis|2025
334 cit.
5
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation
Neural Networks|2024
119 cit.
6
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation
Unknown Journal|2024
104 cit.
7
Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented Generation
Unknown Journal|2025
54 cit.
8
One-Prompt to Segment All Medical Images
Unknown Journal|2024
35 cit.
9
Discriminative features pyramid network for medical image segmentation
Journal of Applied Biomedicine|2024
27 cit.
10
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters
Science Bulletin|2024
25 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Adrian V. Dalca
Harvard University
2
Steven Lawrence Fernandes
Creighton University
3
Yihong Wu
National Taiwan University Hospital
4
Haoyu Dong
Duke University
5
Leonardo Rundo
University of Salerno
6
H. Pal Thethi
Lovely Professional University
7
Mingqing Xu
Shanghai Mental Health Center
8
T. N. R. Kumar
Vels University
9
Ramesh Sundar Nayak
Unknown
10
Apoorav Maulik Sharma
Indian Institute of Science Education and Research Mohali

Emerging Leaders Papers

1
UniverSeg: Universal Medical Image Segmentation
Unknown Journal|2023
159 cit.
2
Learning the Effect of Registration Hyperparameters with HyperMorph
The Journal of Machine Learning for Biomedical Imaging|2022
41 cit.
3
Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation
Computers in Biology and Medicine|2023
37 cit.
4
Anatomy-aware and acquisition-agnostic joint registration with SynthMorph
Imaging Neuroscience|2024
27 cit.
5
Clinically Interpretable Radiomics-Based Prediction of Histopathologic Response to Neoadjuvant Chemotherapy in High-Grade Serous Ovarian Carcinoma
Frontiers in Oncology|2022
26 cit.
6
SWSSL: Sliding Window-Based Self-Supervised Learning for Anomaly Detection in High-Resolution Images
IEEE Transactions on Medical Imaging|2023
16 cit.
7
Anatomy-specific acquisition-agnostic affine registration learned from fictitious images
Unknown Journal|2023
14 cit.
8
TopoFit: Rapid Reconstruction of Topologically-Correct Cortical Surfaces.
PubMed|2022
12 cit.
9
Neuralizer: General Neuroimage Analysis without Re-Training
Unknown Journal|2023
11 cit.
10
Tyche: Stochastic in-Context Learning for Medical Image Segmentation
Unknown Journal|2024
9 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Jitendra Malik
Berkeley College
2
Stephen M. Smith
University of Oxford
3
Marc Joliot
Centre National de la Recherche Scientifique
4
Alan C. Evans
Montreal Neurological Institute and Hospital
5
James C. Gee
California University of Pennsylvania
6
Dinggang Shen
ShanghaiTech University
7
Guido Gerig
New York University
8
Nicholas Ayache
Institut national de recherche en sciences et technologies du numérique
9
Ronald Killiany
Alzheimer’s Disease Neuroimaging Initiative
10
Luminita A. Vese
University of California, Los Angeles

Current Senior Leaders Papers

1
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Unknown Journal|2014
31.8k cit.
2
Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain
NeuroImage|2002
16.8k cit.
3
Normalized cuts and image segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence|2000
15.7k cit.
4
An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest
NeuroImage|2006
14.1k cit.
5
Scale-space and edge detection using anisotropic diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence|1990
12k cit.
6
Active contours without edges
IEEE Transactions on Image Processing|2001
10.3k cit.
7
Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images
NeuroImage|2002
9.6k cit.
8
User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability
NeuroImage|2006
9k cit.
9
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
Unknown Journal|2002
8k cit.
10
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
IEEE Transactions on Medical Imaging|2001
7.3k cit.

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