Kanwal K. Bhatia

1.4k total citations
25 papers, 901 citations indexed

About

Kanwal K. Bhatia is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kanwal K. Bhatia has authored 25 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kanwal K. Bhatia's work include Medical Image Segmentation Techniques (10 papers), Neonatal and fetal brain pathology (5 papers) and Image Retrieval and Classification Techniques (5 papers). Kanwal K. Bhatia is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Neonatal and fetal brain pathology (5 papers) and Image Retrieval and Classification Techniques (5 papers). Kanwal K. Bhatia collaborates with scholars based in United Kingdom, Japan and France. Kanwal K. Bhatia's co-authors include Daniel Rueckert, Joseph V. Hajnal, A. David Edwards, Paul Aljabar, Mary Rutherford, James P. Boardman, Serena J. Counsell, Olga Kapellou, Basant K. Puri and Joanna Allsop and has published in prestigious journals such as NeuroImage, Annals of Neurology and IEEE Transactions on Medical Imaging.

In The Last Decade

Kanwal K. Bhatia

25 papers receiving 882 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kanwal K. Bhatia United Kingdom 14 436 334 295 162 110 25 901
Lasse Riis Østergaard Denmark 17 388 0.9× 488 1.5× 75 0.3× 124 0.8× 19 0.2× 57 1.2k
Nicholas Dowson Australia 16 192 0.4× 306 0.9× 83 0.3× 108 0.7× 28 0.3× 45 677
Seyed Sadegh Mohseni Salehi United States 11 249 0.6× 267 0.8× 126 0.4× 22 0.1× 33 0.3× 15 628
Alireza Akhondi‐Asl United States 16 181 0.4× 300 0.9× 323 1.1× 87 0.5× 27 0.2× 48 900
Ewout Vansteenkiste Belgium 11 216 0.5× 179 0.5× 47 0.2× 92 0.6× 84 0.8× 53 499
Dinggang Shen United States 14 576 1.3× 490 1.5× 85 0.3× 47 0.3× 19 0.2× 27 1.2k
Matthew Toews Canada 19 436 1.0× 428 1.3× 34 0.1× 90 0.6× 26 0.2× 53 1.1k
Christian Brechbühler Switzerland 6 511 1.2× 256 0.8× 32 0.1× 38 0.2× 50 0.5× 8 933
Alexandre Guimond Canada 9 433 1.0× 375 1.1× 77 0.3× 22 0.1× 18 0.2× 14 769
Ahmed Serag United Kingdom 14 238 0.5× 513 1.5× 854 2.9× 185 1.1× 12 0.1× 37 1.4k

Countries citing papers authored by Kanwal K. Bhatia

Since Specialization
Citations

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

Fields of papers citing papers by Kanwal K. Bhatia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kanwal K. Bhatia. 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 Kanwal K. Bhatia. The network helps show where Kanwal K. Bhatia may publish in the future.

Co-authorship network of co-authors of Kanwal K. Bhatia

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

All Works

20 of 20 papers shown
1.
Brandão, Patrick, Omer F. Ahmad, Kanwal K. Bhatia, et al.. (2022). Spatio-temporal classification for polyp diagnosis. Biomedical Optics Express. 14(2). 593–593. 4 indexed citations
2.
Brandão, Patrick, Omer F. Ahmad, Kanwal K. Bhatia, et al.. (2022). Polyp detection on video colonoscopy using a hybrid 2D/3D CNN. Medical Image Analysis. 82. 102625–102625. 29 indexed citations
3.
Oda, Hirohisa, Kanwal K. Bhatia, Holger R. Roth, et al.. (2018). Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images. 1–1. 19 indexed citations
4.
Oda, Hirohisa, Kanwal K. Bhatia, Masahiro Oda, et al.. (2017). Automated mediastinal lymph node detection from CT volumes based on intensity targeted radial structure tensor analysis. Journal of Medical Imaging. 4(4). 1–1. 8 indexed citations
5.
Oda, Hirohisa, Kanwal K. Bhatia, Masahiro Oda, et al.. (2017). Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10134. 101341D–101341D. 4 indexed citations
6.
Bhatia, Kanwal K. & Hervé Lombaert. (2015). Machine Learning Meets Medical Imaging. Lecture notes in computer science. 4 indexed citations
7.
Wang, Zehan, Kanwal K. Bhatia, Ben Glocker, et al.. (2014). Geodesic Patch-Based Segmentation. Lecture notes in computer science. 17(Pt 1). 666–673. 37 indexed citations
8.
Bhatia, Kanwal K., Anthony N. Price, Wenzhe Shi, Joseph V. Hajnal, & Daniel Rueckert. (2014). Super-resolution reconstruction of cardiac MRI using coupled dictionary learning. Research Portal (King's College London). 947–950. 22 indexed citations
9.
Shi, Wenzhe, José Caballero, Christian Ledig, et al.. (2013). Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch. Lecture notes in computer science. 16(Pt 3). 9–16. 159 indexed citations
10.
Bhatia, Kanwal K., Anil Rao, Anthony N. Price, et al.. (2013). Hierarchical Manifold Learning for Regional Image Analysis. IEEE Transactions on Medical Imaging. 33(2). 444–461. 18 indexed citations
11.
Bhatia, Kanwal K., Anil Rao, Anthony N. Price, et al.. (2012). Hierarchical Manifold Learning. Lecture notes in computer science. 15(Pt 1). 512–519. 12 indexed citations
12.
Boardman, James P., Serena J. Counsell, Daniel Rueckert, et al.. (2007). Early growth in brain volume is preserved in the majority of preterm infants. Annals of Neurology. 62(2). 185–192. 76 indexed citations
13.
Aljabar, Paul, Kanwal K. Bhatia, Maria Murgasova, et al.. (2007). Assessment of brain growth in early childhood using deformation-based morphometry. NeuroImage. 39(1). 348–358. 45 indexed citations
14.
Bhatia, Kanwal K., Joseph V. Hajnal, Alexander Hammers, & Daniel Rueckert. (2007). Similarity Metrics for Groupwise Non-rigid Registration. Lecture notes in computer science. 10(Pt 2). 544–552. 29 indexed citations
15.
Bhatia, Kanwal K., Paul Aljabar, James P. Boardman, et al.. (2007). Groupwise Combined Segmentation and Registration for Atlas Construction. Lecture notes in computer science. 10(Pt 1). 532–540. 34 indexed citations
16.
Boardman, James P., Serena J. Counsell, Daniel Rueckert, et al.. (2006). Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry. NeuroImage. 32(1). 70–78. 190 indexed citations
17.
Aljabar, Paul, Kanwal K. Bhatia, Joseph V. Hajnal, et al.. (2006). Analysis of Growth in the Developing Brain Using Non-Rigid Registration. 201–204. 10 indexed citations
18.
Bhatia, Kanwal K., Joseph V. Hajnal, Basant K. Puri, A. David Edwards, & Daniel Rueckert. (2005). Consistent groupwise non-rigid registration for atlas construction. 2. 908–911. 131 indexed citations
19.
Crum, William R., Óscar Cámara, Daniel Rueckert, et al.. (2005). Generalised Overlap Measures for Assessment of Pairwise and Groupwise Image Registration and Segmentation. Lecture notes in computer science. 8(Pt 1). 99–106. 33 indexed citations
20.
Boardman, James P., Serena J. Counsell, Olga Kapellou, et al.. (2005). 44 White Matter Abnormality is Associated with Volume Reduction in Deep Grey Nuclei Following Preterm Birth. Pediatric Research. 58(2). 362–362. 2 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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