Skip to main content

IEEE Transactions on Medical Imaging

Institute of Electrical and Electronics Engineers · US · ISSN 02780062

SJR Q1

What the numbers say

Output rose sharply while citation impact dropped significantly

Output grew sharply while citation impact fell. Authors should consider whether the journal's growing output aligns with their goals for visibility and impact. Field-weighted citation impact moved from 7.25 to 3.10. Papers published here may attract fewer citations than in the past, which could affect career metrics. Medical Image Segmentation Techniques rose from 3.5% to 10.7% of what the journal runs. Research in medical image segmentation is now a strong fit for submission. Recent titles increasingly carry segmentation · mamba-based · prompt · cbct · image. Papers using terms like 'prompt' or 'mamba-based' may be more likely to be noticed in current issues.

Citation metrics

SJR quartile
Q1
SJR score
2.50
Citations / doc (2y)
12.19
h-index
324

Based on the Scopus and OpenAlex citation graphs. We do not provide Clarivate’s JCR Impact Factor.

Output and citation impact

Whether citation performance keeps up as output grows.

PapersField-weighted impact
2018
336
7.25
2019
357
4.88
2020
388
5.07
2021
357
4.22
2022
361
4.86
2023
335
4.78
2024
401
4.37
2025
423
3.10

Topic shift

Share in the last 24 months (2024-08 – 2026-07) versus the previous 24 (2022-08 – 2024-07).

Rising
  • Medical Image Segmentation Techniques3.5%10.7%+7.2%p
    Prev
    Now
  • Brain Tumor Detection and Classification0.0%7.0%+7.0%p
    Prev
    Now
  • Multimodal Machine Learning Applications0.0%2.8%+2.8%p
    Prev
    Now
  • Image Retrieval and Classification Techniques0.0%2.6%+2.6%p
    Prev
    Now
  • Topic Modeling0.0%2.1%+2.1%p
    Prev
    Now
Falling
  • Ultrasound Imaging and Elastography4.3%0.0%−4.3%p
    Prev
    Now
  • COVID-19 diagnosis using AI4.1%0.0%−4.1%p
    Prev
    Now
  • Advanced Neural Network Applications7.7%4.5%−3.2%p
    Prev
    Now
  • Privacy-Preserving Technologies in Data2.4%0.0%−2.4%p
    Prev
    Now
  • Surgical Simulation and Training2.2%0.0%−2.2%p
    Prev
    Now

Terms appearing more often

Wording in recent paper titles that stands out against the journal's own baseline.

segmentationmamba-basedpromptcbctimagecyclegan

Author countries

Last 24 months (2024-08 – 2026-07) against the previous 24 (2022-08 – 2024-07).

  • CN45.2%48.8%+3.6%p
    Prev
    Now
  • US22.8%19.8%−3.0%p
    Prev
    Now
  • HK8.7%10.8%+2.1%p
    Prev
    Now
  • GB8.8%7.3%−1.5%p
    Prev
    Now
  • AU2.9%3.8%+0.9%p
    Prev
    Now
  • DE4.8%3.7%−1.1%p
    Prev
    Now

Top 5 institutions

Top 5 institutions publishing in this journal, 2018 – 2026.

Recently published

20

The 20 most recent papers — not the full list.

1
Article2026
Table of Contents
Economics and EconometricsEconomics, Econometrics and Finance
2
Article2026
Table of Contents
Economics and EconometricsEconomics, Econometrics and Finance
3
Article2026
Anatomy-Guided Self-Supervised Distillation Learning for Medical Image Analysis
Huihui Yu, Qun Dai
Computer Vision and Pattern RecognitionComputer Science
4
Article2026
Table of Contents
Economics and EconometricsEconomics, Econometrics and Finance
5
Article2026
Distillation-SAM: Knowledge Distillation-Based Auto-Prompt Embedding Learning for Surgical Image Segmentation
Jiyang Tang, Hu Han, Shiguang Shan, Xilin Chen
Computer Vision and Pattern RecognitionComputer Science
6
Article2026
Text-Image Co-Alignment for Weakly Supervised Polyp Segmentation
Wenhui Huang, Zhen Pan, Xiaoyan Wang, Yedi Zhang, Jingzhen He, J. Bernard L. Gee, Yuanjie Zheng
Computer Vision and Pattern RecognitionComputer Science
7
Article2026
DeepSparse: A Foundation Model for Sparse-View CBCT Reconstruction
Yiqun Lin, Jixiang Chen, Hualiang Wang, Jiewen Yang, Jiarong Guo, Yi Zhang, Xiaomeng Li
Computer Vision and Pattern RecognitionComputer Science
8
Article2026
Keypoint-Guided Medical Video Segmentation Model With Spatiotemporal Feature Fusion
Minghao Wang, Shaoyi Du, Huanhuan Huo, Jue Jiang, Dong Zhang, Hongcheng Han, Shengdi Hou, Juan Wang
Computer Vision and Pattern RecognitionComputer Science
9
Article2026
Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction
M. Usama Mirza, Onat Dalmaz, Hasan A. Bedel, Gokberk Elmas, Yılmaz Korkmaz, Alper Güngör, Salman UH Dar, Kader K. Oguz, Tolga Çukur
OAComputer Vision and Pattern RecognitionComputer Science
10
Article2026
Unified and Semantically Grounded Domain Adaptation for Medical Image Segmentation
Xin Wang, Yin Guo, Jiamin Xia, Kaiyu Zhang, Niranjan Balu, Mahmud Mossa-Basha, Linda G. Shapiro, Chun Yuan
Artificial IntelligenceComputer Science
11
Article2026
uBrainSurf: Unified Curvature-Aware Deformation Framework for Lifespan Brain Cortical Surface Reconstruction
Lin Teng, Shen Zhao, Jiadong Zhang, Feng Shi, Dinggang Shen
Computational MechanicsEngineering
12
Article2026
Hierarchy-Aware and Knowledge-Guided Learning for Multi-Label Classification of Retinal Diseases From Fundus Images
Zhaocan Yang, Yan Li, Yang Liu
Radiology, Nuclear Medicine and ImagingMedicine
13
Preprint2026
Self-Supervised Monocular Depth and Pose Estimation for Endoscopy With Latent Priors
Ziang Xu, Bin Li, Yang Hu, Chenyu Zhang, James E. East, Sharib Ali, Jens Rittscher
OAOncologyMedicine
14
Article2026
Discovery of Peripheral Airway Beyond Incomplete CT Annotations for Navigational Bronchoscopy
S. Lee, Minkyung Seo, Jiye Kim, K. Lee, Eon-Seung Seong, DongEon Lee, Dohyung Kim, YeonJoo Jeong, HeeYun Seol, MinWoo Kim
Pulmonary and Respiratory MedicineMedicine
15
Article2026
Spatio-Temporal Characterization of Gastric Distensibility in Upper Endoscopy Identifies the Presence of <i>Helicobacter pylori</i>
Josué André Ruano-Balseca, Diego Bravo, Diana Giraldo, Martín Gómez, Francisco Gonzalez, Eduardo Romero
GastroenterologyMedicine
16
Article2026
Modality-Agnostic Federated Learning With Adaptive Updates for Heterogeneous Medical Image Tasks
Wenwen Zhang, Zhenyu Tang, Hao Zhang, Shaohao Rui, Z. Jane Wang, Xing Wang
Artificial IntelligenceComputer Science
17
Article2026
Phase-Lag-Based MPS/MPI Dual-Mode Precise In Vivo Temperature Imaging Technique
Siao Lei, Wenxuan Zou, Yanjun Liu, Guanghui Li, Gen Shi, Jiaqian Li, Jie He, Guangxing Zhou, Jing Yang, Yu Yuan An, Jie Tian
Biomedical EngineeringEngineering
18
Article2026
Computed Quantitative Planar Imaging for Targeted Alpha Therapy: Model-Based Sparse Reconstruction Validated With a Novel <sup>225</sup> Ac Epoxy Phantom
C. Ross Schmidtlein, Jin Ren, Andrzej Król, Howard C. Gifford, Joseph A. O’Donoghue, Lisa Bodei, Yuesheng Xu
Pulmonary and Respiratory MedicineMedicine
19
Article2026
Disentangled Multi-Modal Learning of Histology and Transcriptomics for Cancer Characterization
Yupei Zhang, Xiaofei Wang, A. M. M. Liu, Lequan Yu, Chao Li
Molecular BiologyBiochemistry, Genetics and Molecular Biology
20
Article2026
Preoperative Prediction of Esophageal Cancer Survival in CT via Tumor and Lymph Node Context and Geometry Modeling
Xuan Gong, Jiaqi Li, Yirui Wang, Haoshen Li, Jiawen Yao, Lianzhen Zhong, Dazhou Guo, Ke Yan, David Doermann, Le Lu, Feiran Jiao, Tsung-Ying Ho, Ling Zhang, Abudili Abuduxuku, Haifeng Wang, Xianghua Ye, Dakai Jin, Qifeng Wang
SurgeryMedicine

Most cited

20

Top 20 most cited, 2018 – 2026.

1
ArticleCitations 4,1202019
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
OAComputer Vision and Pattern RecognitionComputer Science
2
ArticleCitations 2,4552018
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi‐Wing Fu, Pheng‐Ann Heng
Computer Vision and Pattern RecognitionComputer Science
3
ArticleCitations 2,2562018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
Olivier Bernard, Alain Lalande, Clément Zotti, Frederick Cervenansky, Xin Yang, Pheng‐Ann Heng, Irem Cetin, Karim Lekadir, Óscar Cámara, Miguel Á. González Ballester, Gerard Sanromà, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Varghese Alex Kollerathu, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul F. Jäger, Klaus Maier‐Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Išgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre‐Marc Jodoin
OARadiology, Nuclear Medicine and ImagingMedicine
4
ArticleCitations 2,1342019
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Zaiwang Gu*, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao, Jiang Liu
OARadiology, Nuclear Medicine and ImagingMedicine
5
ArticleCitations 2,0222019
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John Guttag, Adrian V. Dalca
OAComputer Vision and Pattern RecognitionComputer Science
6
ArticleCitations 1,6192018
Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss
Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Yi Zhang, Ling Sun, Ge Wang
OARadiology, Nuclear Medicine and ImagingMedicine
7
ArticleCitations 1,1992020
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images
Deng-Ping Fan*, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao
Radiology, Nuclear Medicine and ImagingMedicine
8
ArticleCitations 1,0062018
MoDL: Model-Based Deep Learning Architecture for Inverse Problems
Hemant K. Aggarwal, Merry P. Mani, Mathews Jacob
OAComputational MechanicsEngineering
9
ArticleCitations 8642018
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning
Guotai Wang, Wenqi Li, María A. Zuluaga, Rosalind Pratt, Premal A. Patel, Michaël Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren
OAComputer Vision and Pattern RecognitionComputer Science
10
ArticleCitations 8042018
Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation
Huazhu Fu*, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao
OARadiology, Nuclear Medicine and ImagingMedicine
11
ArticleCitations 7082018
Learned Primal-Dual Reconstruction
Jonas Adler, Ozan Oktem
OARadiology, Nuclear Medicine and ImagingMedicine
12
ArticleCitations 6982018
Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks
Eli Gibson*, Francesco Giganti, Yipeng Hu, Ester Bonmati, Steve Bandula, Kurinchi Selvan Gurusamy, Brian R Davidson, Stephen P. Pereira, Matthew J. Clarkson, Dean C. Barratt
Radiology, Nuclear Medicine and ImagingMedicine
13
ArticleCitations 6902018
Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map
Peter Naylor, Marick Laé, Fabien Reyal, Thomas Walter
Artificial IntelligenceComputer Science
14
ArticleCitations 6862020
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sebastien Ourselin, Tom Vercauteren, Shaoting Zhang
OAPediatrics, Perinatology and Child HealthMedicine
15
paratextCitations 6672025
IEEE Transactions on Medical Imaging
Radiology, Nuclear Medicine and ImagingMedicine
16
ArticleCitations 6622020
CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation
Shuanglang Feng, Heming Zhao, Fei Shi, Xuena Cheng, Meng Wang, Yuhui Ma, Dehui Xiang, Weifang Zhu, Xinjian Chen
Computer Vision and Pattern RecognitionComputer Science
17
ArticleCitations 6572019
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography
Sarah Leclerc*, Erik Smistad, Joao Pedrosa, Andreas Ostvik, Frederic Cervenansky, Florian Espinosa, Torvald Espeland, Erik Andreas Rye Berg, Pierre-Marc Jodoin, Thomas Grenier, Carole Lartizien, Jan Dhooge, Lasse Lovstakken, Olivier Bernard
OACardiology and Cardiovascular MedicineMedicine
18
ArticleCitations 6552019
Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening
Nan Wu*, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanisław Jastrzȩbski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana A. Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, Sungheon Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
OAArtificial IntelligenceComputer Science
19
ArticleCitations 6492020
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT
Xinggang Wang*, Xianbo Deng, Qing Fu, Qiang Zhou, Jiapei Feng, Hui Ma, Wenyu Liu, Chuansheng Zheng
Radiology, Nuclear Medicine and ImagingMedicine
20
ArticleCitations 6422018
Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss
Tran Minh Quan, Thanh Nguyen-Duc, Won‐Ki Jeong
OARadiology, Nuclear Medicine and ImagingMedicine

Check your draft against this journal

Start free with Nubint AI — citation checks and a peer-review simulation.

Data as of 2026-08-26