Michael T. McCann

3.8k total citations · 1 hit paper
41 papers, 2.1k citations indexed

About

Michael T. McCann is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Michael T. McCann has authored 41 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Surgery. Recurrent topics in Michael T. McCann's work include Medical Imaging Techniques and Applications (8 papers), AI in cancer detection (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Michael T. McCann is often cited by papers focused on Medical Imaging Techniques and Applications (8 papers), AI in cancer detection (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Michael T. McCann collaborates with scholars based in United States, Switzerland and South Korea. Michael T. McCann's co-authors include Michaël Unser, Kyong Hwan Jin, Jelena Kovačević, Carlos A. Castro, John A. Ozolek, Bahram Parvin, Laurène Donati, Marc Klasky, Dohoon Ryu and Jong Chul Ye and has published in prestigious journals such as American Journal of Psychiatry, IEEE Transactions on Image Processing and Optics Express.

In The Last Decade

Michael T. McCann

38 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Convolutional Neural Network for Inverse Problems in Imaging

2017 1.6k citations Kyong Hwan Jin, Michael T. McCann et al. IEEE Transactions on Image Processing profile →

Peers

Michael T. McCann

RNMI

CVPR

Kyong Hwan Jin South Korea

Jan Kybic Czechia

Ulugbek S. Kamilov United States

Qiegen Liu China

Singanallur Venkatakrishnan United States

Jo Schlemper United Kingdom

Yifei Lou United States

Jean-Louis Coatrieux France

K. Sauer United States

Florian Knöll United States

Kyong Hwan Jin South Korea

Michael T. McCann

1.0k ×1.1

RNMI

997 ×1.3

747 ×1.3

CVPR

215 ×0.8

365 ×1.5

Citations per year, relative to Michael T. McCann Michael T. McCann (= 1×) peers Kyong Hwan Jin

Countries citing papers authored by Michael T. McCann

Since Specialization

Citations

This map shows the geographic impact of Michael T. McCann'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 Michael T. McCann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. McCann more than expected).

Fields of papers citing papers by Michael T. McCann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. McCann. 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 Michael T. McCann. The network helps show where Michael T. McCann may publish in the future.

Co-authorship network of co-authors of Michael T. McCann

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. McCann. A scholar is included among the top collaborators of Michael T. McCann 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 Michael T. McCann. Michael T. McCann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xu, Xiaojian, et al.. (2025). Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction to ICF Applications. IEEE Transactions on Computational Imaging. 11. 872–887.

McCann, Michael T., et al.. (2024). PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction. IEEE Open Journal of Signal Processing. 5. 539–547. 4 indexed citations

McCann, Michael T. & Brendt Wohlberg. (2024). Robust and Simple ADMM Penalty Parameter Selection. IEEE Open Journal of Signal Processing. 5. 402–420. 3 indexed citations

McCann, Michael T., et al.. (2023). Material Identification From Radiographs Without Energy Resolution. IEEE Transactions on Computational Imaging. 9. 314–326. 2 indexed citations

García–Cardona, Cristina, et al.. (2022). Scientific Computational Imaging Code (SCICO). The Journal of Open Source Software. 7(78). 4722–4722. 10 indexed citations

Nadiga, Balasubramanya, Oleg Korobkin, Marc Klasky, et al.. (2022). High-precision inversion of dynamic radiography using hydrodynamic features. Optics Express. 30(9). 14432–14432. 8 indexed citations

Gupta, Harshit, Michael T. McCann, Laurène Donati, & Michaël Unser. (2021). CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning. IEEE Transactions on Computational Imaging. 7. 759–774. 45 indexed citations

Ye, Siqi, Zhipeng Li, Michael T. McCann, Yong Long, & Saiprasad Ravishankar. (2021). Unified Supervised-Unsupervised (SUPER) Learning for X-Ray CT Image Reconstruction. IEEE Transactions on Medical Imaging. 40(11). 2986–3001. 12 indexed citations

McCann, Michael T. & Michaël Unser. (2019). Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks. arXiv (Cornell University). 13(3). 283–359. 24 indexed citations

10.

McCann, Michael T. & Michaël Unser. (2017). High-Quality Parallel-Ray X-Ray CT Back Projection Using Optimized Interpolation. IEEE Transactions on Image Processing. 26(10). 4639–4647. 13 indexed citations

11.

Jin, Kyong Hwan, et al.. (2017). Deep Convolutional Neural Network for Inverse Problems in Imaging. IEEE Transactions on Image Processing. 26(9). 4509–4522. 1561 indexed citations breakdown →

12.

Majeske, Karl D., et al.. (2017). The impact of early thromboelastography directed therapy in trauma resuscitation. Scandinavian Journal of Trauma Resuscitation and Emergency Medicine. 25(1). 99–99. 28 indexed citations

13.

McCann, Michael T., et al.. (2016). Delayed onset seroma formation ‘opting out’ at 5 years after ventral incisional hernia repair. BMJ Case Reports. 2016. bcr2016215034–bcr2016215034. 2 indexed citations

14.

McCann, Michael T., et al.. (2016). Proctalgia and colorectal stricture as the result of a 2-year transit of a retained rectal chicken bone: a case presentation and review of the literature. BMJ Case Reports. 2016. bcr–2016. 3 indexed citations

15.

Mohamed, Mohamed, et al.. (2016). More than just a urinary catheter — Haemorrhage control by using a Foley catheter in a penetrating aortic root injury. Trauma Case Reports. 5. 13–17. 1 indexed citations

16.

McCann, Michael T., et al.. (2015). Obstruction and perforation of the small bowel caused by inadvertent ingestion of a blister pill pack in an elderly patient. BMJ Case Reports. 2015. bcr2015212822–bcr2015212822. 10 indexed citations

17.

Mohamed, Mohamed, et al.. (2015). Isolated complete jejunal transection following abdominal blunt trauma with delayed presentation. Trauma Case Reports. 1(5-8). 60–63. 1 indexed citations

18.

McCann, Michael T., David E. Thompson, Zeeshan Syed, & Jane E. Huggins. (2014). Electrode subset selection methods for an EEG-based P300 brain-computer interface. Disability and Rehabilitation Assistive Technology. 10(3). 216–220. 14 indexed citations

19.

McCann, Michael T., et al.. (2014). A vocabulary for the identification and delineation of teratoma tissue components in hematoxylin and eosin-stained samples. Journal of Pathology Informatics. 5(1). 19–19. 1 indexed citations

20.

McCann, Michael T., et al.. (2012). Automated colitis detection from endoscopic biopsies as a tissue screening tool in diagnostic pathology. PubMed. 2012. 2809–2812. 13 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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