Loïc Peter

1.0k total citations
19 papers, 533 citations indexed

About

Loïc Peter is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Loïc Peter has authored 19 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Biomedical Engineering. Recurrent topics in Loïc Peter's work include AI in cancer detection (7 papers), Medical Image Segmentation Techniques (5 papers) and Medical Imaging and Analysis (5 papers). Loïc Peter is often cited by papers focused on AI in cancer detection (7 papers), Medical Image Segmentation Techniques (5 papers) and Medical Imaging and Analysis (5 papers). Loïc Peter collaborates with scholars based in United States, United Kingdom and Germany. Loïc Peter's co-authors include Guillaume Charras, Andrew R. Harris, Julien Bellis, Buzz Baum, Alexandre Kabla, Jonathan E. Gale, Mihoko Kajita, Yasuyuki Fujita, Tom Duke and Nassir Navab and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Development and Scientific Reports.

In The Last Decade

Loïc Peter

18 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Loïc Peter United States	11	296	173	91	77	60	19	533
Zsuzsanna Püspöki Switzerland	6	100 0.3×	119 0.7×	60 0.7×	50 0.6×	15 0.3×	11	414
Mohak Patel United States	10	124 0.4×	117 0.7×	33 0.4×	37 0.5×	6 0.1×	12	372
Shada Abuhattum Germany	15	324 1.1×	360 2.1×	134 1.5×	20 0.3×	7 0.1×	22	754
Evan McCreedy United States	13	35 0.1×	193 1.1×	102 1.1×	97 1.3×	54 0.9×	25	590
Hector E. Muñoz United States	12	96 0.3×	454 2.6×	105 1.2×	17 0.2×	10 0.2×	20	665
Sylvain Berlemont France	7	177 0.6×	52 0.3×	88 1.0×	61 0.8×	43 0.7×	16	383
Markus Rempfler Germany	7	184 0.6×	221 1.3×	225 2.5×	26 0.3×	10 0.2×	12	594
Qili Zhao China	15	98 0.3×	371 2.1×	123 1.4×	29 0.4×	5 0.1×	73	765
Ruchi Goswami Germany	10	131 0.4×	299 1.7×	70 0.8×	24 0.3×	10 0.2×	15	461
Di Li China	9	147 0.5×	218 1.3×	104 1.1×	74 1.0×	18 0.3×	12	659

Countries citing papers authored by Loïc Peter

Since Specialization

Citations

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

Fields of papers citing papers by Loïc Peter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loïc Peter

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

All Works

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19 of 19 papers shown

Peter, Loïc, et al.. (2022). Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length. Medical Image Analysis. 81. 102549–102549. 6 indexed citations

Casamitjana, Adrià, Marco Lorenzi, Loïc Peter, et al.. (2021). Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas. arXiv (Cornell University). 9 indexed citations

Peter, Loïc, Daniel C. Alexander, Caroline Magnain, & Juan Eugenio Iglesias. (2021). Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms. IEEE Transactions on Medical Imaging. 40(8). 2053–2065. 2 indexed citations

Mancini, Matteo, Adrià Casamitjana, Loïc Peter, et al.. (2020). A multimodal computational pipeline for 3D histology of the human brain. Scientific Reports. 10(1). 13839–13839. 21 indexed citations

Peter, Loïc, Dzhoshkun I. Shakir, Jan Deprest, et al.. (2019). Pruning strategies for efficient online globally consistent mosaicking in fetoscopy. Journal of Medical Imaging. 6(3). 1–1. 6 indexed citations

Peter, Loïc, Dzhoshkun I. Shakir, Jan Deprest, et al.. (2018). Probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking: application to fetoscopy. Journal of Medical Imaging. 5(2). 1–1. 8 indexed citations

Iglesias, Juan Eugenio, Marc Modat, Loïc Peter, et al.. (2018). Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections. Medical Image Analysis. 50. 127–144. 15 indexed citations

Gutiérrez-Becker, Benjamín, Diana Mateus, Loïc Peter, & Nassir Navab. (2017). Guiding multimodal registration with learned optimization updates. Medical Image Analysis. 41. 2–17. 15 indexed citations

Peter, Loïc, Stephan G. Nekolla, Matthias Eiber, et al.. (2017). Segmentation of Skeleton and Organs in Whole-Body CT Images via Iterative Trilateration. IEEE Transactions on Medical Imaging. 36(11). 2276–2286. 11 indexed citations

10.

Conjeti, Sailesh, Amin Katouzian, Abhijit Guha Roy, et al.. (2016). Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization. Medical Image Analysis. 32. 1–17. 12 indexed citations

11.

Peter, Loïc, Diana Mateus, Pierre Chatelain, et al.. (2016). Assisting the examination of large histopathological slides with adaptive forests. Medical Image Analysis. 35. 655–668. 4 indexed citations

12.

Rupprecht, Christian, Loïc Peter, & Nassir Navab. (2015). Image segmentation in Twenty Questions. 3314–3322. 12 indexed citations

13.

Kajita, Mihoko, Loïc Peter, Yasuyuki Fujita, et al.. (2014). Epithelial repair is a two-stage process driven first by dying cells and then by their neighbours. Journal of Cell Science. 127(Pt 6). 1229–41. 88 indexed citations

14.

Kajita, Mihoko, Loïc Peter, Yasuyuki Fujita, et al.. (2014). Epithelial repair is a two-stage process driven first by dying cells and then by their neighbours. Development. 141(8). e0808–e0808. 28 indexed citations

15.

Peter, Loïc, Diana Mateus, Pierre Chatelain, et al.. (2014). Leveraging Random Forests for Interactive Exploration of Large Histological Images. Lecture notes in computer science. 17(Pt 1). 1–8. 17 indexed citations

16.

Chatelain, Pierre, Olivier Pauly, Loïc Peter, et al.. (2013). Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound. Lecture notes in computer science. 16(Pt 2). 230–237. 9 indexed citations

17.

Harris, Andrew R., Loïc Peter, Julien Bellis, et al.. (2012). Characterizing the mechanics of cultured cell monolayers. Proceedings of the National Academy of Sciences. 109(41). 16449–16454. 258 indexed citations

18.

Youn, Heejung, Christina Chen, Loïc Peter, & S L McElroy. (2003). Automatic Pipe Detection Using Fully Polarimetric GPR. 2003, Las Vegas, NV July 27-30, 2003. 2 indexed citations

19.

Weber, P., et al.. (2001). A system for ultrasound based intraoperative navigation in spine surgery. 1361–1364 vol.2. 10 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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