Tommaso Mansi

4.0k total citations
80 papers, 1.8k citations indexed

About

Tommaso Mansi 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, Tommaso Mansi has authored 80 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cardiology and Cardiovascular Medicine, 31 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tommaso Mansi's work include Medical Image Segmentation Techniques (16 papers), Cardiac electrophysiology and arrhythmias (14 papers) and Cardiac Valve Diseases and Treatments (13 papers). Tommaso Mansi is often cited by papers focused on Medical Image Segmentation Techniques (16 papers), Cardiac electrophysiology and arrhythmias (14 papers) and Cardiac Valve Diseases and Treatments (13 papers). Tommaso Mansi collaborates with scholars based in United States, Germany and France. Tommaso Mansi's co-authors include Nicholas Ayache, Hervé Delingette, Maxime Sermesant, Dorin Comaniciu, Rui Liao, Shun Miao, Ali Kamen, Xavier Pennec, Neda Bernasconi and Julian Krebs and has published in prestigious journals such as Circulation, Nature Communications and Gastroenterology.

In The Last Decade

Tommaso Mansi

78 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tommaso Mansi United States 24 649 646 481 442 220 80 1.8k
Óscar Cámara Spain 28 1.4k 2.2× 1.1k 1.7× 606 1.3× 497 1.1× 201 0.9× 154 3.0k
C. Lamberti Italy 21 695 1.1× 450 0.7× 241 0.5× 317 0.7× 307 1.4× 97 1.7k
Mathieu De Craene Spain 21 786 1.2× 852 1.3× 361 0.8× 351 0.8× 153 0.7× 82 1.6k
Marcel Breeuwer Netherlands 27 561 0.9× 962 1.5× 434 0.9× 351 0.8× 230 1.0× 143 2.1k
Wenjia Bai United Kingdom 26 801 1.2× 1.3k 2.0× 1.1k 2.3× 534 1.2× 108 0.5× 91 2.9k
Martin Rajchl Canada 22 311 0.5× 640 1.0× 584 1.2× 264 0.6× 140 0.6× 61 1.6k
Zhifan Gao China 31 645 1.0× 1.1k 1.6× 818 1.7× 630 1.4× 395 1.8× 111 2.5k
María J. Ledesma‐Carbayo Spain 23 542 0.8× 1.4k 2.2× 442 0.9× 418 0.9× 90 0.4× 139 2.4k
Eigil Samset Norway 25 605 0.9× 628 1.0× 314 0.7× 444 1.0× 351 1.6× 103 1.7k
Constantine Butakoff Spain 21 641 1.0× 311 0.5× 364 0.8× 163 0.4× 122 0.6× 65 1.5k

Countries citing papers authored by Tommaso Mansi

Since Specialization
Citations

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

Fields of papers citing papers by Tommaso Mansi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tommaso Mansi

This figure shows the co-authorship network connecting the top 25 collaborators of Tommaso Mansi. A scholar is included among the top collaborators of Tommaso Mansi 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 Tommaso Mansi. Tommaso Mansi 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.
Rehman, Rana Zia Ur, Nikolay V. Manyakov, Alan P. Jackson, et al.. (2024). Assessment of Physiological Signals from Photoplethysmography Sensors Compared to an Electrocardiogram Sensor: A Validation Study in Daily Life. Sensors. 24(21). 6826–6826. 6 indexed citations
2.
Gao, Shang, Hiroshi Ashikaga, Masahito Suzuki, et al.. (2024). Cardiac‐gated spectroscopic photoacoustic imaging for ablation‐induced necrotic lesion visualization. Journal of Biophotonics. 17(10). e202400126–e202400126. 4 indexed citations
3.
Cheng, Shuyang, Michael Rice, Shrinivas Bishu, et al.. (2023). Mo1736 PREDICTING REMISSION EARLY IN ULCERATIVE COLITIS CLINICAL TRIALS USING COMPUTER VISION ANALYSIS OF ENDOSCOPIC VIDEO. Gastroenterology. 164(6). S–885. 1 indexed citations
4.
Gómez, Juan F., Tommaso Mansi, Olga Solovyova, et al.. (2022). Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy—Benchmark Analysis with Finite-Element Methods in Experimental Data. Applied Sciences. 12(13). 6438–6438. 2 indexed citations
5.
Li, Zhongyu, et al.. (2022). Automated catheter tip repositioning for intra-cardiac echocardiography. International Journal of Computer Assisted Radiology and Surgery. 17(8). 1409–1417. 9 indexed citations
6.
Severini, Simone, et al.. (2018). Image classification with quantum pre-training and auto-encoders. International Journal of Quantum Information. 16(8). 1840009–1840009. 11 indexed citations
7.
Mansi, Tommaso, Hervé Delingette, Saikiran Rapaka, et al.. (2017). Comprehensive preclinical evaluation of a multi-physics model of liver tumor radiofrequency ablation. International Journal of Computer Assisted Radiology and Surgery. 12(9). 1543–1559. 11 indexed citations
8.
9.
Cámara, Óscar, Tommaso Mansi, Mihaela Pop, et al.. (2016). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture notes in computer science. 2 indexed citations
10.
Cámara, Óscar, Tommaso Mansi, & Mihaela Pop. (2015). Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges: 5th International Workshop, STACOM 2014, Held in ... September 18, 2014, Revised Selected Papers. Springer eBooks. 2 indexed citations
11.
Bernhardt, Boris C., Seok‐Jun Hong, Tommaso Mansi, et al.. (2015). Multi-contrast submillimetric 3 Tesla hippocampal subfield segmentation protocol and dataset. Scientific Data. 2(1). 150059–150059. 68 indexed citations
12.
Cámara, Óscar, Tommaso Mansi, Mihaela Pop, et al.. (2014). Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges. Lecture notes in computer science. 27 indexed citations
13.
Mansi, Tommaso, Hervé Delingette, Saikiran Rapaka, et al.. (2013). Lattice Boltzmann Method for Fast Patient-Specific Simulation of Liver Tumor Ablation from CT Images. Lecture notes in computer science. 16(Pt 3). 323–330. 15 indexed citations
14.
Cámara, Óscar, Tommaso Mansi, Mihaela Pop, et al.. (2013). Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges Third International Workshop, STACOM 2012, Held in ... Vision, Pattern Recognition, and Graphics). Springer eBooks. 1 indexed citations
15.
Cámara, Óscar, Tommaso Mansi, Mihaela Pop, et al.. (2013). Revised Selected Papers of the 4th International Workshop on Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Volume 8330. 1 indexed citations
16.
Kim, Hosung, Tommaso Mansi, Neda Bernasconi, & Andrea Bernasconi. (2012). Surface-based multi-template automated hippocampal segmentation: Application to temporal lobe epilepsy. Medical Image Analysis. 16(7). 1445–1455. 17 indexed citations
17.
Kim, Hosung, Tommaso Mansi, Neda Bernasconi, & Andrea Bernasconi. (2011). Robust Surface-Based Multi-template Automated Algorithm to Segment Healthy and Pathological Hippocampi. Lecture notes in computer science. 14(Pt 3). 445–453. 5 indexed citations
18.
Sermesant, Maxime, Radomí­r Chabiniok, Phani Chinchapatnam, et al.. (2011). Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation. Medical Image Analysis. 16(1). 201–215. 148 indexed citations
19.
Colliot, Olivier, et al.. (2006). Segmentation of focal cortical dysplasia lesions on MRI using level set evolution. NeuroImage. 32(4). 1621–1630. 36 indexed citations
20.
Colliot, Olivier, et al.. (2005). Segmentation of Focal Cortical Dysplasia Lesions Using a Feature-Based Level Set. Lecture notes in computer science. 8(Pt 1). 375–382. 11 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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