Albert Gubern‐Mérida

4.1k total citations · 2 hit papers
50 papers, 2.7k citations indexed

About

Albert Gubern‐Mérida is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Albert Gubern‐Mérida has authored 50 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Artificial Intelligence and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Albert Gubern‐Mérida's work include AI in cancer detection (38 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and Digital Radiography and Breast Imaging (21 papers). Albert Gubern‐Mérida is often cited by papers focused on AI in cancer detection (38 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and Digital Radiography and Breast Imaging (21 papers). Albert Gubern‐Mérida collaborates with scholars based in Netherlands, Spain and United States. Albert Gubern‐Mérida's co-authors include Ritse M. Mann, Nico Karssemeijer, Geert Litjens, Thijs Kooi, Clara I. Sá‎nchez, Bram van Ginneken, Alejandro Rodríguez‐Ruiz, Robert Martí, Bram Platel and Suzan Vreemann and has published in prestigious journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Radiology.

In The Last Decade

Albert Gubern‐Mérida

46 papers receiving 2.7k 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.

Large scale deep learning for computer aided detection of mammographic lesions

2016 676 citations Albert Gubern‐Mérida, Ritse M. Mann et al. Medical Image Analysis profile →
Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists

2018 405 citations Alejandro Rodríguez‐Ruiz, Kristina Lång et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Albert Gubern‐Mérida Netherlands	23	2.0k	1.8k	667	382	309	50	2.7k
Ravi K. Samala United States	23	1.6k 0.8×	1.4k 0.8×	600 0.9×	267 0.7×	382 1.2×	80	2.6k
Ashirbani Saha Canada	24	1.3k 0.7×	890 0.5×	230 0.3×	193 0.5×	506 1.6×	69	2.3k
Chuan Zhou United States	28	1.9k 0.9×	1.3k 0.8×	1.4k 2.0×	89 0.2×	458 1.5×	127	2.9k
Daniel Truhn Germany	31	1.3k 0.6×	898 0.5×	192 0.3×	708 1.9×	188 0.6×	150	2.9k
Alejandro Rodríguez‐Ruiz Netherlands	19	1.5k 0.8×	1.4k 0.8×	674 1.0×	549 1.4×	50 0.2×	48	2.0k
Jonas Teuwen Netherlands	15	962 0.5×	671 0.4×	268 0.4×	180 0.5×	120 0.4×	62	1.4k
Ken Chang United States	23	1.4k 0.7×	521 0.3×	336 0.5×	283 0.7×	169 0.5×	51	2.2k
Lois Holloway Australia	28	2.6k 1.3×	448 0.3×	1.5k 2.3×	114 0.3×	281 0.9×	260	4.1k
Alireza Mehrtash United States	16	1.2k 0.6×	482 0.3×	443 0.7×	260 0.7×	142 0.5×	32	1.8k
Isaac Shiri Switzerland	36	2.9k 1.4×	544 0.3×	860 1.3×	177 0.5×	178 0.6×	174	3.6k

Countries citing papers authored by Albert Gubern‐Mérida

Since Specialization

Citations

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

Fields of papers citing papers by Albert Gubern‐Mérida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert Gubern‐Mérida. 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 Albert Gubern‐Mérida. The network helps show where Albert Gubern‐Mérida may publish in the future.

Co-authorship network of co-authors of Albert Gubern‐Mérida

This figure shows the co-authorship network connecting the top 25 collaborators of Albert Gubern‐Mérida. A scholar is included among the top collaborators of Albert Gubern‐Mérida 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 Albert Gubern‐Mérida. Albert Gubern‐Mérida 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

Romero-Martín, Sara, et al.. (2021). AI-based Strategies to Reduce Workload in Breast Cancer Screening with Mammography and Tomosynthesis: A Retrospective Evaluation. Radiology. 300(1). 57–65. 104 indexed citations

Romero-Martín, Sara, et al.. (2021). Stand-Alone Use of Artificial Intelligence for Digital Mammography and Digital Breast Tomosynthesis Screening: A Retrospective Evaluation. Radiology. 302(3). 535–542. 60 indexed citations

Rodríguez‐Ruiz, Alejandro, Albert Gubern‐Mérida, Nico Karssemeijer, et al.. (2021). Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study. European Radiology. 31(11). 8682–8691. 60 indexed citations

Vreemann, Suzan, Mehmet Ufuk Dalmış, Peter Bult, et al.. (2019). Amount of fibroglandular tissue FGT and background parenchymal enhancement BPE in relation to breast cancer risk and false positives in a breast MRI screening program. European Radiology. 29(9). 4678–4690. 27 indexed citations

Díez, Yago, Oliver Díaz, Xavier Lladó, et al.. (2019). Breast MRI and X-ray mammography registration using gradient values. Medical Image Analysis. 54. 76–87. 15 indexed citations

Zelst, Jan van, Suzan Vreemann, Albert Gubern‐Mérida, et al.. (2018). Multireader Study on the Diagnostic Accuracy of Ultrafast Breast Magnetic Resonance Imaging for Breast Cancer Screening. Investigative Radiology. 53(10). 579–586. 64 indexed citations

Vreemann, Suzan, Jan van Zelst, Margrethe Schlooz-Vries, et al.. (2018). The added value of mammography in different age-groups of women with and without BRCA mutation screened with breast MRI. Breast Cancer Research. 20(1). 84–84. 30 indexed citations

Vreemann, Suzan, et al.. (2018). The correlation of background parenchymal enhancement in the contralateral breast with patient and tumor characteristics of MRI-screen detected breast cancers. PLoS ONE. 13(1). e0191399–e0191399. 13 indexed citations

Holland, Katharina, Albert Gubern‐Mérida, Ritse M. Mann, & Nico Karssemeijer. (2017). Optimization of volumetric breast density estimation in digital mammograms. Physics in Medicine and Biology. 62(9). 3779–3797. 6 indexed citations

10.

Díaz, Oliver, Robert Martí, Yago Díez, et al.. (2017). Local breast density assessment using reacquired mammographic images. European Journal of Radiology. 93. 121–127. 8 indexed citations

11.

Rodríguez‐Ruiz, Alejandro, Albert Gubern‐Mérida, Ingvar Andersson, et al.. (2017). One-view digital breast tomosynthesis as a stand-alone modality for breast cancer detection: do we need more?. European Radiology. 28(5). 1938–1948. 21 indexed citations

12.

Gubern‐Mérida, Albert, et al.. (2017). Automated Volumetric Mammographic Breast Density Measurements May Underestimate Percent Breast Density for High-density Breasts. Academic Radiology. 24(12). 1561–1569. 12 indexed citations

13.

Gubern‐Mérida, Albert, Alessandro Bria, Francesco Tortorella, et al.. (2017). The importance of early detection of calcifications associated with breast cancer in screening. Breast Cancer Research and Treatment. 167(2). 451–458. 33 indexed citations

14.

Gubern‐Mérida, Albert, Suzan Vreemann, Robert Martí, et al.. (2015). Automated detection of breast cancer in false-negative screening MRI studies from women at increased risk. European Journal of Radiology. 85(2). 472–479. 21 indexed citations

15.

Tan, Tao, Jan van Zelst, André Grivegnee, et al.. (2015). Computer‐aided detection of breast cancers using Haar‐like features in automated 3D breast ultrasound. Medical Physics. 42(4). 1498–1504. 33 indexed citations

16.

Dalmış, Mehmet Ufuk, Albert Gubern‐Mérida, Suzan Vreemann, et al.. (2015). A computer-aided diagnosis system for breast DCE-MRI at high spatiotemporal resolution. Medical Physics. 43(1). 84–94. 27 indexed citations

17.

Gubern‐Mérida, Albert, Robert Martí, Jaime Melendez, et al.. (2014). Automated localization of breast cancer in DCE-MRI. Medical Image Analysis. 20(1). 265–274. 92 indexed citations

18.

Gubern‐Mérida, Albert, Michiel Kallenberg, Bram Platel, et al.. (2014). Volumetric Breast Density Estimation from Full-Field Digital Mammograms: A Validation Study. PLoS ONE. 9(1). e85952–e85952. 140 indexed citations

19.

Gubern‐Mérida, Albert, Michiel Kallenberg, Robert Martí, & Nico Karssemeijer. (2012). Segmentation of the pectoral muscle in breast MRI using atlas-based approaches. Data Archiving and Networked Services (DANS). 1 indexed citations

20.

Gubern‐Mérida, Albert, Michiel Kallenberg, Robert Martí, & Nico Karssemeijer. (2012). Segmentation of the Pectoral Muscle in Breast MRI Using Atlas-Based Approaches. Lecture notes in computer science. 15(Pt 2). 371–378. 32 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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