Roger Trullo

1.6k total citations · 2 hit papers
11 papers, 976 citations indexed

About

Roger Trullo is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Roger Trullo has authored 11 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Roger Trullo's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced Neural Network Applications (3 papers) and Image and Signal Denoising Methods (2 papers). Roger Trullo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced Neural Network Applications (3 papers) and Image and Signal Denoising Methods (2 papers). Roger Trullo collaborates with scholars based in United States, France and China. Roger Trullo's co-authors include Caroline Petitjean, Su Ruan, Dinggang Shen, Dong Nie, Qian Wang, Jun Lian, Li Wang, Bernard Dubray, Ding Nie and Jianfu Li and has published in prestigious journals such as Cancer Research, IEEE Transactions on Biomedical Engineering and Composite Structures.

In The Last Decade

Roger Trullo

9 papers receiving 949 citations

Hit Papers

align trajectories

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.

Medical Image Synthesis with Context-Aware Generative Adversarial Networks

2017 426 citations Dong Nie, Roger Trullo et al. Lecture notes in computer science profile →
Medical Image Synthesis with Deep Convolutional Adversarial Networks

2018 421 citations Dong Nie, Roger Trullo et al. IEEE Transactions on Biomedical Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roger Trullo United States	6	531	460	264	201	127	11	976
Wenjian Qin China	17	562 1.1×	330 0.7×	372 1.4×	212 1.1×	83 0.7×	70	1.0k
Biting Yu China	12	481 0.9×	516 1.1×	218 0.8×	180 0.9×	100 0.8×	15	998
Joyita Dutta United States	20	865 1.6×	240 0.5×	96 0.4×	426 2.1×	137 1.1×	58	1.3k
Yicheng Wu China	12	325 0.6×	392 0.9×	151 0.6×	128 0.6×	50 0.4×	32	775
Ester Bonmati United Kingdom	11	564 1.1×	480 1.0×	204 0.8×	286 1.4×	74 0.6×	25	985
Kelei He China	16	580 1.1×	441 1.0×	369 1.4×	210 1.0×	49 0.4×	25	1.1k
Floris F. Berendsen Netherlands	8	490 0.9×	432 0.9×	104 0.4×	235 1.2×	85 0.7×	13	859
Ning Guo United States	10	444 0.8×	186 0.4×	133 0.5×	189 0.9×	70 0.6×	22	774
Yongsheng Pan China	16	242 0.5×	267 0.6×	230 0.9×	161 0.8×	58 0.5×	80	1.0k
Ali Gooya United Kingdom	17	540 1.0×	462 1.0×	160 0.6×	228 1.1×	39 0.3×	50	1.1k

Countries citing papers authored by Roger Trullo

Since Specialization

Citations

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

Fields of papers citing papers by Roger Trullo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roger Trullo

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Xiang, Junhuai, Hillol Sarker, Bozhao Qi, et al.. (2025). Endoscopic Scoring and Localization in Unconstrained Clinical Trial Videos. 4006–4015.

2.

Badalamenti, Salvatore, Wei Zhao, Roger Trullo, et al.. (2024). P487 Automated Scoring of Patient Endoscopy Videos Using Deep Learning Techniques: A Promising Approach for Clinical Trials in Inflammatory Bowel Disease. Journal of Crohn s and Colitis. 18(Supplement_1). i968–i968.

3.

Pomponio, Robert J., Hong Wang, Roger Trullo, et al.. (2024). Classification of the Tumor Immune Microenvironment Using Machine-Learning-Based CD8 Immunophenotyping As a Potential Biomarker for Immunotherapy and TGF-β Blockade in Nonsmall Cell Lung Cancer. 1(2). 106–118. 3 indexed citations

4.

Pomponio, Robert J., Hong Wang, Cyrus V. Hedvat, et al.. (2022). Abstract 5099: Quantification of TGFβ protein levels and digital pathology-based immune phenotyping reveal biomarkers for TGF-β blockade therapy patient selection in NSCLC. Cancer Research. 82(12_Supplement). 5099–5099. 1 indexed citations

5.

Mendoza, Arturo, et al.. (2022). Design of Artificial Neural Networks for Damage Estimation of Composite Laminates: Application to Delamination Failures in Ply Drops. Composite Structures. 304. 116320–116320. 3 indexed citations

6.

Trullo, Roger, Caroline Petitjean, Bernard Dubray, & Su Ruan. (2019). Multiorgan segmentation using distance-aware adversarial networks. Journal of Medical Imaging. 6(1). 1–1. 23 indexed citations

7.

Nie, Dong, Roger Trullo, Jun Lian, et al.. (2018). Medical Image Synthesis with Deep Convolutional Adversarial Networks. IEEE Transactions on Biomedical Engineering. 65(12). 2720–2730. 421 indexed citations breakdown →

8.

Nie, Dong, Roger Trullo, Jun Lian, et al.. (2017). Medical Image Synthesis with Context-Aware Generative Adversarial Networks. Lecture notes in computer science. 10435. 417–425. 426 indexed citations breakdown →

9.

Nie, Dong, Li Wang, Roger Trullo, et al.. (2017). Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade Framework. Lecture notes in computer science. 10541. 266–273. 22 indexed citations

10.

Trullo, Roger, Caroline Petitjean, Dong Nie, Dinggang Shen, & Su Ruan. (2017). Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures. Lecture notes in computer science. 10553. 21–29. 29 indexed citations

11.

Trullo, Roger, et al.. (2017). Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields. HAL (Le Centre pour la Communication Scientifique Directe). 1003–1006. 48 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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