Kristin McLeod

1.6k total citations
17 papers, 331 citations indexed

About

Kristin McLeod is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kristin McLeod has authored 17 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kristin McLeod's work include Cardiovascular Function and Risk Factors (9 papers), Medical Image Segmentation Techniques (4 papers) and Medical Imaging Techniques and Applications (2 papers). Kristin McLeod is often cited by papers focused on Cardiovascular Function and Risk Factors (9 papers), Medical Image Segmentation Techniques (4 papers) and Medical Imaging Techniques and Applications (2 papers). Kristin McLeod collaborates with scholars based in Norway, France and United Kingdom. Kristin McLeod's co-authors include Xavier Pennec, Maxime Sermesant, Silvia Schievano, Hopewell Ntsinjana, Jan L. Bruse, Andrew M. Taylor, Tain-Yen Hsia, Andrew Gilbert, Pablo Lamata and Claudio Capelli and has published in prestigious journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Kristin McLeod

17 papers receiving 327 citations

Peers

Countries citing papers authored by Kristin McLeod

Since Specialization

Citations

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

Fields of papers citing papers by Kristin McLeod

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristin McLeod

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	A Domain Translation Framework With an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images 2023 ·IEEE Access ·(unknown), (unknown), (unknown), Kristin McLeod	6
2	Deep Learning for Multi-Level Detection and Localization of Myocardial Scars Based on Regional Strain Validated on Virtual Patients 2023 ·IEEE Access ·(unknown), (unknown), (unknown), (unknown), (unknown), Svein Arne Aase, Joost Lumens, (unknown), Kristin McLeod	2
3	Automatic measurement of LV wall thickness from 2D cardiac echocardiography 2022 ·European Heart Journal - Cardiovascular Imaging ·(unknown), Filip Lončarić, M Marciniak, Andrew Gilbert, Erik Smistad, Lasse Løvstakken, Kristin McLeod, Marta Sitges, Pablo Lamata	1
4	A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images Using a GAN 2022 ·IEEE Access ·(unknown), Andrew Gilbert, Ahmed S Beela, Svein Arne Aase, (unknown), (unknown), Kristin McLeod	15
5	Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation 2021 ·IEEE Transactions on Medical Imaging ·Andrew Gilbert, M Marciniak, Cristóbal Rodero, Pablo Lamata, Eigil Samset, Kristin McLeod	47
6	Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis 2019 ·Lecture notes in computer science ·(unknown), Qian Wang, Alberto Gómez, Jana Hutter, Kristin McLeod, Veronika A. Zimmer, Oliver Zettinig, Roxane Licandro, Emma C. Robinson, Daan Christiaens, Esra Abacı Türk, Andrew Melbourne, (unknown), (unknown)	14
7	Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges 2019 ·Lecture notes in computer science ·(unknown), Mihaela Pop, (unknown), Jichao Zhao, Shuo Li, Kristin McLeod, Alistair A. Young, Kawal Rhode, Tommaso Mansi, (unknown)	29
8	Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data 2018 ·IEEE Transactions on Biomedical Engineering ·Kristin McLeod, Kristin Tøndel, Lilian Calvet, Maxime Sermesant, Xavier Pennec	2
9	Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches 2017 ·IEEE Transactions on Biomedical Engineering ·Jan L. Bruse, Silvia Schievano, María A. Zuluaga, Abbas Khushnood, Kristin McLeod, Hopewell Ntsinjana, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew M. Taylor	61
10	A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal is Abnormal? 2016 ·UCL Discovery (University College London) ·(unknown), Kristin McLeod, Giovanni Biglino, (unknown), Claudio Capelli, (unknown), Maxime Sermesant, Xavier Pennec, (unknown), Silvia Schievano	6
11	A statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta 2016 ·BMC Medical Imaging ·(unknown), Jan L. Bruse, Kristin McLeod, Giovanni Biglino, Hopewell Ntsinjana, Claudio Capelli, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew M. Taylor, Silvia Schievano	78
12	Ventricular structure in ARVC: going beyond volumes as a measure of risk 2016 ·Journal of Cardiovascular Magnetic Resonance ·Kristin McLeod, Samuel Wall, Ida S. Leren, Jørg Saberniak, Kristina H. Haugaa	11
13	CMR-based 3D statistical shape modelling reveals left ventricular morphological differences between healthy controls and arterial switch operation survivors 2016 ·Journal of Cardiovascular Magnetic Resonance ·Jan L. Bruse, Hopewell Ntsinjana, Claudio Capelli, Giovanni Biglino, Kristin McLeod, Maxime Sermesant, Xavier Pennec, Tain-Yen Hsia, Silvia Schievano, Andrew M. Taylor	2
14	Statistical analysis of ventricular shape of ARVC patients and correlation with clinical diagnostic indices 2015 ·Journal of Cardiovascular Magnetic Resonance ·Kristin McLeod, Jørg Saberniak, Kristina H. Haugaa	2
15	Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics 2015 ·IEEE Transactions on Medical Imaging ·Kristin McLeod, Maxime Sermesant, Philipp Beerbaum, Xavier Pennec	23
16	Group-wise construction of reduced models for understanding and characterization of pulmonary blood flows from medical images 2013 ·Medical Image Analysis ·Romain Guibert, Kristin McLeod, Alfonso Caiazzo, Tommaso Mansi, Miguel Á. Fernández, Maxime Sermesant, Xavier Pennec, Irène Vignon-Clémentel, Younès Boudjemline, Jean-Frédéric Gerbeau	26
17	Spatio-temporal Dimension Reduction of Cardiac Motion for Group-Wise Analysis and Statistical Testing 2013 ·Lecture notes in computer science ·Kristin McLeod, Christof Seiler, Maxime Sermesant, Xavier Pennec	6

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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