Leo Grady

7.7k total citations · 1 hit paper
75 papers, 4.4k citations indexed

About

Leo Grady is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Leo Grady has authored 75 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 31 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Artificial Intelligence. Recurrent topics in Leo Grady's work include Medical Image Segmentation Techniques (33 papers), Advanced Neural Network Applications (12 papers) and Medical Imaging Techniques and Applications (11 papers). Leo Grady is often cited by papers focused on Medical Image Segmentation Techniques (33 papers), Advanced Neural Network Applications (12 papers) and Medical Imaging Techniques and Applications (11 papers). Leo Grady collaborates with scholars based in United States, Germany and France. Leo Grady's co-authors include Jon̈athan R. Polimeni, Ali Kemal Sinop, Eli Schwartz, Hervé Lombaert, Hugues Talbot, Laurent Najman, Camille Couprie, Marie‐Pierre Jolly, Eric L. Schwartz and Chenyang Xu and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American College of Cardiology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Leo Grady

73 papers receiving 4.2k citations

Hit Papers

align trajectories sort by overperformance

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.

Random Walks for Image Segmentation

2006 1.7k citations Leo Grady IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Leo Grady	2.8k	919	715	415	371	75	4.4k
Chenyang Xu	3.7k 1.3×	1.1k 1.1×	623 0.9×	549 1.3×	560 1.5×	50	5.1k
Anthony Yezzi	4.9k 1.7×	1.2k 1.3×	711 1.0×	487 1.2×	637 1.7×	188	6.7k
R.M. Haralick	4.0k 1.4×	647 0.7×	1.0k 1.4×	1.1k 2.6×	327 0.9×	138	6.6k
Aly A. Farag	3.4k 1.2×	1.0k 1.1×	699 1.0×	910 2.2×	535 1.4×	304	5.2k
Kaleem Siddiqi	3.8k 1.3×	922 1.0×	388 0.5×	414 1.0×	290 0.8×	114	5.4k
Laurent D. Cohen	3.7k 1.3×	996 1.1×	464 0.6×	360 0.9×	482 1.3×	100	4.9k
W.J. Rucklidge	2.6k 0.9×	570 0.6×	582 0.8×	229 0.6×	345 0.9×	17	4.0k
Punam K. Saha	2.3k 0.8×	1.8k 1.9×	403 0.6×	292 0.7×	886 2.4×	207	5.8k
R. Malladi	2.8k 1.0×	549 0.6×	405 0.6×	409 1.0×	284 0.8×	33	3.7k
Carola‐Bibiane Schönlieb	1.3k 0.5×	1.2k 1.3×	740 1.0×	518 1.2×	555 1.5×	197	4.3k

Countries citing papers authored by Leo Grady

Since Specialization

Citations

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

Fields of papers citing papers by Leo Grady

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo Grady

This figure shows the co-authorship network connecting the top 25 collaborators of Leo Grady. A scholar is included among the top collaborators of Leo Grady 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 Leo Grady. Leo Grady 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

Raciti, Patricia, Jillian Sue, Ran Godrich, et al.. (2020). Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies. Modern Pathology. 33(10). 2058–2066. 121 indexed citations

Nakanishi, Rine, Sethuraman Sankaran, Leo Grady, et al.. (2018). Automated estimation of image quality for coronary computed tomographic angiography using machine learning. European Radiology. 28(9). 4018–4026. 19 indexed citations

Toba, Takayoshi, Gilwoo Choi, Hyun Jin Kim, et al.. (2016). IMPACT OF WALL SHEAR STRESS AND AXIAL PLAQUE STRESS ON CORONARY PLAQUE INITIATION AND PROGRESSION. Journal of the American College of Cardiology. 67(13). 1755–1755. 1 indexed citations

Sankaran, Sethuraman, Leo Grady, & Charles Taylor. (2013). Fast geometric sensitivity analysis in hemodynamic simulations using a machine learning approach. Bulletin of the American Physical Society. 1 indexed citations

Weller, Daniel S., Jon̈athan R. Polimeni, Leo Grady, et al.. (2013). Sparsity-Promoting Calibration for GRAPPA Accelerated Parallel MRI Reconstruction. IEEE Transactions on Medical Imaging. 32(7). 1325–1335. 29 indexed citations

Chekkoury, Andrei, Parmeshwar Khurd, Jie Ni, et al.. (2012). Automated malignancy detection in breast histopathological images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8315. 831515–831515. 33 indexed citations

Collins, Marcus D., Jia Xu, Leo Grady, & Vijendra Singh. (2012). Random walks based multi-image segmentation: Quasiconvexity results and GPU-based solutions. PubMed. 2012. 1656–1663. 72 indexed citations

Khurd, Parmeshwar, Leo Grady, Rafiou Oketokoun, et al.. (2012). Global error minimization in image mosaicing using graph connectivity and its applications in microscopy. Journal of Pathology Informatics. 2(2). 8–8. 7 indexed citations

Weller, Daniel S., Jon̈athan R. Polimeni, Leo Grady, et al.. (2011). Denoising sparse images from GRAPPA using the nullspace method (DESIGN). DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations

10.

Weller, Daniel S., Jon̈athan R. Polimeni, Leo Grady, et al.. (2011). Denoising sparse images from GRAPPA using the nullspace method. Magnetic Resonance in Medicine. 68(4). 1176–1189. 19 indexed citations

11.

Lombaert, Hervé, Leo Grady, Jon̈athan R. Polimeni, & Farida Chériet. (2011). Fast Brain Matching with Spectral Correspondence. Lecture notes in computer science. 22. 660–673. 21 indexed citations

12.

Grady, Leo & Christopher Alvino. (2009). The Piecewise Smooth Mumford–Shah Functional on an Arbitrary Graph. IEEE Transactions on Image Processing. 18(11). 2547–2561. 42 indexed citations

13.

Grady, Leo. (2008). Minimal Surfaces Extend Shortest Path Segmentation Methods to 3D. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(2). 321–334. 34 indexed citations

14.

Grady, Leo & Marie‐Pierre Jolly. (2008). Weights and Topology: A Study of the Effects of Graph Construction on 3D Image Segmentation. Lecture notes in computer science. 11(Pt 1). 153–161. 30 indexed citations

15.

Sinop, Ali Kemal & Leo Grady. (2006). Accurate Banded Graph Cut Segmentation of Thin Structures Using Laplacian Pyramids. Lecture notes in computer science. 9(Pt 2). 896–903. 10 indexed citations

16.

Grady, Leo & Gareth Funka-Lea. (2006). An Energy Minimization Approach to the Data Driven Editing of Presegmented Images/Volumes. Lecture notes in computer science. 9(Pt 2). 888–895. 24 indexed citations

17.

Grady, Leo. (2006). Random Walks for Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(11). 1768–1783. 1728 indexed citations breakdown →

18.

Grady, Leo, et al.. (2005). Random walks for interactive alpha-matting. 108 indexed citations

19.

Grady, Leo & Eric L. Schwartz. (2004). Space-variant computer vision: a graph-theoretic approach. Annales de biologie clinique. 66(4). 433–6. 30 indexed citations

20.

Grady, Leo & Eli Schwartz. (2003). Anisotropic Interpolation on Graphs: The Combinatorial Dirichlet Problem. OpenBU/Boston University Institutional Repository (Boston University). 15 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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