IEEE TRANSACTIONS ON MEDICAL IMAGING

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期刊名

IEEE TRANSACTIONS ON MEDICAL IMAGING

IEEE T MED IMAGING

ISSN / eISSN

0278-0062 / 1558-0062

目标和范围

IEEE Transactions on Medical Imaging (T-MI) encourages the submission of manuscripts on imaging of body structures, morphology and function, and imaging of microscopic biological entities. The journal publishes original contributions on medical imaging achieved by various modalities, such as ultrasound, X-rays (including CT) magnetic resonance, radionuclides, microwaves, and light, as well as medical image processing and analysis, visualization, pattern recognition, and related methods. Studies involving highly technical perspectives are most welcome. The journal focuses on a unified common ground where instrumentation, systems, components, hardware and software, mathematics and physics contribute to the studies.

研究方向

计算机：跨学科应用

工程：生物医学

工程：电子与电气

CiteScore

20.10

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CiteScore 学科排名

类别	分区	排名
Health Professions - Radiological and Ultrasound Technology	Q1	#1/58
Health Professions - Computer Science Applications	Q1	#12/792
Health Professions - Electrical and Electronic Engineering	Q1	#17/738
Health Professions - Software	Q1	#14/404

Web of Science 核心合集

Science Citation Index Expanded (SCIE)	Social Sciences Citation Index (SSCI)
Indexed	-

类别 (Journal Citation Reports 2023)	分区
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS - SCIE	Q1
ENGINEERING, BIOMEDICAL - SCIE	Q1
ENGINEERING, ELECTRICAL & ELECTRONIC - SCIE	Q1
IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY - SCIE	Q1
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING - SCIE	Q1

H-index

195

出版国家或地区

UNITED STATES

出版商

Institute of Electrical and Electronics Engineers Inc.

出版周期

Monthly

年文章数

319

Open Access

通讯方式

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, USA, NJ, 08855-4141

同领域相关热门期刊
近期发表文章

Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models: (2023) Holger R. Roth, Nicola Rieke, Shadi Albarqouni, Quanzheng Li

Specificity-Preserving Federated Learning for MR Image Reconstruction: (2023) Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu

Branch Aggregation Attention Network for Robotic Surgical Instrument Segmentation: (2023) Wenting Shen, Yaonan Wang, Min Liu, Jiazheng Wang, Renjie Ding, Zhe Zhang, Erik Meijering

Multi-Frequency 3D Shear Wave Absolute Vibro-Elastography (S-WAVE) System for the Prostate: (2023) Tajwar Abrar Aleef, Julio Lobo, Ali Baghani, Shahed Mohammed, Hani Eskandari, Hamid Moradi, Robert Rohling, S. Larry Goldenberg, W. James Morris, S. S...

One-Shot Generative Prior in Hankel-k-Space for Parallel Imaging Reconstruction: (2023) Hong Peng, Chen Jiang, Jing Cheng, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu

Geometric Deep Learning Using Vascular Surface Meshes for Modality-Independent Unruptured Intracranial Aneurysm Detection: (2023) Kimberley M. Timmins, Irene C. van der Schaaf, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf

Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis: (2023) Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen

Eye-Gaze-Guided Vision Transformer for Rectifying Shortcut Learning: (2023) Chong Ma, Lin Zhao, Yuzhong Chen, Sheng Wang, Lei Guo, Tuo Zhang, Dinggang Shen, Xi Jiang, Tianming Liu

Shared-Specific Feature Learning With Bottleneck Fusion Transformer for Multi-Modal Whole Slide Image Analysis: (2023) Zhihua Wang, Lequan Yu, Xin Ding, Xuehong Liao, Liansheng Wang

Spatial-Intensity Transforms for Medical Image-to-Image Translation: (2023) Clinton J. Wang, Natalia S. Rost, Polina Golland

认证评论

注：认证评论选取于全球各个学术评论平台和社交媒体。

Conference extension journal, the speed is good.
The first review was fast, taking only two months, and there were only two reviewers. They were very proactive and found the issues to be practically significant. However, their comments were also very professional and challenging, requiring major revisions. The rebuttal included a significant number of new experiments and discussions.
In the second review, no new reviewers were assigned, and after revising for a month and a half, the paper was accepted.
Overall, the goal was to answer all questions as much as possible and to include additional experiments to further prove or satisfy the reviewers.

2022-05-25

Early TMI used to have very classic articles about hardware systems, as well as classic reconstruction algorithms. However, in recent years, it has completely become a journal for Chinese people to publish DL + medical image articles. Our very innovative hardware work was delayed for 4 months by the AE and eventually rejected due to a small number of animals. We followed up with review reminders three times but to no avail. In the end, our work was snatched and published by colleagues, leaving us with no choice but to reluctantly submit to a lower impact factor journal. It is disappointing and disheartening.

2023-03-14

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