Ehsan Adeli

15.0k citations

144 papers · 4.9k · 2 hit papers · h-index 36

Impact in

Neurology top 1%
- Brain Tumor Detection and Classification
Health Informatics top 1%

Papers in

Computer Vision and Pattern Recognition 59
- Face and Expression Recognition 12
- Human Pose and Action Recognition 12
Artificial Intelligence 54
- Domain Adaptation and Few-Shot Learning 15
- Machine Learning in Healthcare 14
- Anomaly Detection Techniques and Applications 13

Co-authors: Dinggang Shen (40 shared papers)Jun Zhang (5 shared papers)Kilian M. Pohl (48 shared papers)Dong Nie (8 shared papers)Mingxia Liu (7 shared papers)Qingyu Zhao (34 shared papers)J. Mahjoobi (1 shared paper)Juan Carlos Niebles (11 shared papers)
Journals: Medical Image Analysis (13 papers)Lecture notes in computer science (38 papers)IEEE Transactions on Cybernetics (4 papers)IEEE Transactions on Medical Imaging (4 papers)NeuroImage (4 papers)
Partner nations: United States South Korea China

In The Last Decade

Ehsan Adeli

134 papers receiving 4.8k citations

Ehsan Adeli's Hit Papers

align trajectories log scale

TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers 2024 · 392 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2024 Medical Image Analysis
2024 IEEE Transactions on Pattern Analysis and Machine Intelligence

Peers

Countries citing papers authored by Ehsan Adeli

Since Specialization

Citations

This map shows the geographic impact of Ehsan Adeli's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ehsan Adeli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehsan Adeli more than expected).

Fields of papers citing papers by Ehsan Adeli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ehsan Adeli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ehsan Adeli. The network helps show where Ehsan Adeli may publish in the future.

Co-authors

The 25 scholars most cited alongside Ehsan Adeli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ehsan Adeli Line = papers co-authored together Ehsan Adeli links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers Medical Image Analysis ·Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lü, Alan Yuille, Yuyin Zhou Hit paper breakdown →	2024	392
2	Landmark-based deep multi-instance learning for brain disease diagnosis Medical Image Analysis ·Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen	2017	297
3	Medical Image Segmentation Review: The Success of U-Net IEEE Transactions on Pattern Analysis and Machine Intelligence ·Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Cohen, Ehsan Adeli, Dorit Merhof Hit paper breakdown →	2024	292
4	Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis IEEE Transactions on Biomedical Engineering ·Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen	2018	224
5	3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients Lecture notes in computer science ·Dong Nie, Han Zhang, Ehsan Adeli, Luyan Liu, Dinggang Shen	2016	204
6	Prediction of significant wave height using regressive support vector machines Ocean Engineering ·J. Mahjoobi, Ehsan Adeli	2009	203
7	High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation IEEE Transactions on Image Processing ·Sihang Zhou, Dong Nie, Ehsan Adeli, Jianping Yin, Jun Lian, Dinggang Shen	2019	174
8	Spatio-Temporal Graph for Video Captioning With Knowledge Distillation Boxiao Pan, Haoye Cai, De-An Huang, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli, Juan Carlos Niebles	2020	169
9	Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages Scientific Reports ·Dong Nie, Junfeng Lu, Han Zhang, Ehsan Adeli, Jun Wang, Zhengda Yu, LuYan Liu, Qian Wang, Jinsong Wu, Dinggang Shen	2019	160
10	3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation IEEE Transactions on Cybernetics ·Dong Nie, Li Wang, Ehsan Adeli, Cuijin Lao, Weili Lin, Dinggang Shen	2018	138
11	Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction IEEE Robotics and Automation Letters ·Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles	2020	126
12	Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli, Li Fei-Fei, Daniel L. Rubin	2022	122
13	Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis IEEE Transactions on Biomedical Engineering ·Mingxia Liu, Daoqiang Zhang, Ehsan Adeli, Dinggang Shen	2015	105
14	Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis Lecture notes in computer science ·Soham Gadgil, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Ehsan Adeli, Kilian M. Pohl	2020	102
15	Training confounder-free deep learning models for medical applications Nature Communications ·Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl	2020	93
16	Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data NeuroImage ·Ehsan Adeli, Feng Shi, Le An, Chong-Yaw Wee, Guorong Wu, Tao Wang, Dinggang Shen	2016	84
17	Ethical issues in using ambient intelligence in health-care settings The Lancet Digital Health ·Nicole Martinez‐Martin, Zelun Luo, Amit Kaushal, Ehsan Adeli, Albert Haque, Sara Kelly, Sarah Wieten, Mildred K. Cho, David Magnus, Li Fei-Fei, Kevin A. Schulman, Arnold Milstein	2020	83
18	Deep End-to-End One-Class Classifier IEEE Transactions on Neural Networks and Learning Systems ·Mohammad Sabokrou, Mahmood Fathy, Guoying Zhao, Ehsan Adeli	2020	79
19	Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises IEEE Transactions on Pattern Analysis and Machine Intelligence ·Ehsan Adeli, Kim‐Han Thung, Le An, Guorong Wu, Feng Shi, Tao Wang, (unknown)	2018	76
20	Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography IEEE Transactions on Medical Imaging ·Mohammad Eslami, Solale Tabarestani, Shadi Albarqouni, Ehsan Adeli, Nassir Navab, Malek Adjouadi	2020	71

About Ehsan Adeli

Ehsan Adeli is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Neurology, having authored 144 papers that have together received 4.9k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (20 papers), Domain Adaptation and Few-Shot Learning (15 papers), Machine Learning in Healthcare (14 papers), Anomaly Detection Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Face and Expression Recognition (12 papers), Human Pose and Action Recognition (12 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). The work is most often cited by research in Neurology (766 citations), Health Informatics (112 citations), Computer Vision and Pattern Recognition (1.6k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Artificial Intelligence (1.6k citations). Ehsan Adeli has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Dinggang Shen, Jun Zhang, Kilian M. Pohl, Dong Nie, Mingxia Liu, Qingyu Zhao, J. Mahjoobi, Juan Carlos Niebles, Mingxia Liu and Han Zhang. Their work appears in journals such as Medical Image Analysis, Lecture notes in computer science, IEEE Transactions on Cybernetics, IEEE Transactions on Medical Imaging and NeuroImage.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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