Davood Karimi

623 total citations
27 papers, 274 citations indexed

About

Davood Karimi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Computer Vision and Pattern Recognition. According to data from OpenAlex, Davood Karimi has authored 27 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pediatrics, Perinatology and Child Health and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Davood Karimi's work include Fetal and Pediatric Neurological Disorders (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Neonatal and fetal brain pathology (7 papers). Davood Karimi is often cited by papers focused on Fetal and Pediatric Neurological Disorders (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Neonatal and fetal brain pathology (7 papers). Davood Karimi collaborates with scholars based in United States, Canada and Austria. Davood Karimi's co-authors include Ali Gholipour, Septimiu E. Salcudean, Haoran Dou, Golnoosh Samei, Guy Nir, Claudia Kesch, Abdelhakim Ouaalam, Clemente Velasco‐Annis, Danny Mann and Caitlin K. Rollins and has published in prestigious journals such as Cerebral Cortex, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Davood Karimi

24 papers receiving 266 citations

Peers

Davood Karimi

RNMI

CVPR

PPCH

Helena R. Torres Portugal

Tao Zhong China

Rupert Brooks Canada

Chaoyu Chen China

Tiexiang Wen China

Benjamin Hou United Kingdom

Xindi Hu China

Matthew C. H. Lee United Kingdom

Le Ding China

Orhun Utku Aydin Germany

Helena R. Torres Portugal

Davood Karimi

106 ×0.9

RNMI

140 ×1.4

CVPR

69 ×0.9

83 ×1.5

40 ×0.9

PPCH

Citations per year, relative to Davood Karimi Davood Karimi (= 1×) peers Helena R. Torres

Countries citing papers authored by Davood Karimi

Since Specialization

Citations

This map shows the geographic impact of Davood Karimi'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 Davood Karimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davood Karimi more than expected).

Fields of papers citing papers by Davood Karimi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Davood Karimi. 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 Davood Karimi. The network helps show where Davood Karimi may publish in the future.

Co-authorship network of co-authors of Davood Karimi

This figure shows the co-authorship network connecting the top 25 collaborators of Davood Karimi. A scholar is included among the top collaborators of Davood Karimi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Davood Karimi. Davood Karimi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Weide, et al.. (2025). Streamline tractography of the fetal brain in utero with machine learning. Imaging Neuroscience. 3.

Karimi, Davood, et al.. (2024). Advances in Fetal Brain Imaging. Magnetic Resonance Imaging Clinics of North America. 32(3). 459–478. 4 indexed citations

Vasung, Lana, et al.. (2024). Characterizing normal perinatal development of the human brain structural connectivity. Human Brain Mapping. 45(11). e26784–e26784. 1 indexed citations

Karimi, Davood. (2024). An Approach to Building Foundation Models for Brain Image Analysis. Lecture notes in computer science. 15012. 421–431. 2 indexed citations

Karimi, Davood, et al.. (2024). Advanced Framework for Fetal Diffusion MRI: Dynamic Distortion and Motion Correction. Lecture notes in computer science. 14747. 35–45.

Karimi, Davood, et al.. (2024). Fetal-BET: Brain Extraction Tool for Fetal MRI. IEEE Open Journal of Engineering in Medicine and Biology. 5. 551–562. 4 indexed citations

Kebiri, Hamza, Ali Gholipour, R. P. Lin, et al.. (2024). Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study. Medical Image Analysis. 95. 103186–103186. 8 indexed citations

Lin, R. P., Ali Gholipour, Jean‐Philippe Thiran, et al.. (2024). Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–5. 2 indexed citations

Wu, Yihan, Ali Gholipour, Lana Vasung, & Davood Karimi. (2023). A Computational Framework for Characterizing Normative Development of Structural Brain Connectivity in the Perinatal Stage. 1–5. 2 indexed citations

10.

Karimi, Davood, Caitlin K. Rollins, Clemente Velasco‐Annis, Abdelhakim Ouaalam, & Ali Gholipour. (2023). Learning to segment fetal brain tissue from noisy annotations. Medical Image Analysis. 85. 102731–102731. 17 indexed citations

11.

Karimi, Davood & Ali Gholipour. (2022). Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation. IEEE Transactions on Artificial Intelligence. 4(2). 383–397. 27 indexed citations

12.

Karimi, Davood, Haoran Dou, & Ali Gholipour. (2022). Medical Image Segmentation Using Transformer Networks. IEEE Access. 10. 29322–29332. 28 indexed citations

13.

Karimi, Davood, Jurriaan M. Peters, Abdelhakim Ouaalam, et al.. (2020). Learning to Detect Brain Lesions from Noisy Annotations. PubMed. 2. 1910–1914. 8 indexed citations

14.

Dou, Haoran, Davood Karimi, Caitlin K. Rollins, et al.. (2020). A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI. IEEE Transactions on Medical Imaging. 40(4). 1123–1133. 43 indexed citations

15.

Karimi, Davood, S. Sara Mahdavi, Julio Lobo, et al.. (2019). Automatic detection of brachytherapy seeds in 3D ultrasound images using a convolutional neural network. Physics in Medicine and Biology. 65(3). 35016–35016. 12 indexed citations

16.

Karimi, Davood, Golnoosh Samei, Claudia Kesch, Guy Nir, & Septimiu E. Salcudean. (2018). Prostate segmentation in MRI using a convolutional neural network architecture and training strategy based on statistical shape models. International Journal of Computer Assisted Radiology and Surgery. 13(8). 1211–1219. 67 indexed citations

17.

Karimi, Davood & Rabab Ward. (2016). Reducing streak artifacts in computed tomography via sparse representation in coupled dictionaries. Medical Physics. 43(3). 1473–1486. 9 indexed citations

18.

Karimi, Davood. (2016). Sparsity-based methods for image reconstruction and processing in cone-beam computed tomography. Open Collections.

19.

Karimi, Davood & Rabab Ward. (2015). A denoising algorithm for projection measurements in cone-beam computed tomography. Computers in Biology and Medicine. 69. 71–82. 4 indexed citations

20.

Karimi, Davood. (2012). Obstructive Sleep Apnea Screening Using Spectral and Bispectral Features of Breathing Sounds in Wakefulness. 1 indexed citations

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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