Benjamin Hou

1.1k total citations
16 papers, 310 citations indexed

About

Benjamin Hou is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Benjamin Hou has authored 16 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Benjamin Hou's work include Radiomics and Machine Learning in Medical Imaging (3 papers), MRI in cancer diagnosis (3 papers) and Topic Modeling (3 papers). Benjamin Hou is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), MRI in cancer diagnosis (3 papers) and Topic Modeling (3 papers). Benjamin Hou collaborates with scholars based in United Kingdom, United States and France. Benjamin Hou's co-authors include Bernhard Kainz, Ronald M. Summers, Pritam Mukherjee, Daniel Rueckert, Amir Alansary, Ben Glocker, Ozan Oktay, Loïc Le Folgoc, Yuanwei Li and Ghislain Vaillant and has published in prestigious journals such as Radiology, IEEE Transactions on Medical Imaging and Medical Image Analysis.

In The Last Decade

Benjamin Hou

16 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin Hou United Kingdom	8	131	111	77	58	51	16	310
Ruobing Huang China	10	162 1.2×	167 1.5×	88 1.1×	29 0.5×	33 0.6×	29	316
Thomas L. A. van den Heuvel Netherlands	7	88 0.7×	92 0.8×	70 0.9×	32 0.6×	34 0.7×	10	331
Jordina Torrents‐Barrena Spain	10	112 0.9×	83 0.7×	44 0.6×	33 0.6×	24 0.5×	28	324
Mostafa Ghelich Oghli Iran	9	237 1.8×	98 0.9×	97 1.3×	19 0.3×	107 2.1×	19	386
Mousumi Bhaduri Canada	12	158 1.2×	75 0.7×	123 1.6×	30 0.5×	71 1.4×	20	381
Lisa M. Koch United Kingdom	6	105 0.8×	106 1.0×	83 1.1×	39 0.7×	29 0.6×	13	320
Amir Alansary United States	9	119 0.9×	80 0.7×	121 1.6×	12 0.2×	59 1.2×	17	319
Giacomo Tarroni Italy	10	172 1.3×	59 0.5×	61 0.8×	30 0.5×	70 1.4×	30	377
Sandra Smith United Kingdom	4	77 0.6×	107 1.0×	54 0.7×	39 0.7×	25 0.5×	5	271
Suguru Yasutomi Japan	8	147 1.1×	83 0.7×	31 0.4×	82 1.4×	34 0.7×	18	347

Countries citing papers authored by Benjamin Hou

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Hou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Hou

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

All Works

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16 of 16 papers shown

Hou, Benjamin, et al.. (2025). One Year On: Assessing Progress of Multimodal Large Language Model Performance on RSNA 2024 Case of the Day Questions. Radiology. 316(2). e250617–e250617. 1 indexed citations

Zhuang, Yan, Pritam Mukherjee, Boah Kim, et al.. (2025). MRISegmenter: A Fully Accurate and Robust Automated Multiorgan and Structure Segmentation Tool for T1-weighted Abdominal MRI. Radiology. 315(1). e241979–e241979. 2 indexed citations

Mukherjee, Pritam, Benjamin Hou, Yan Zhuang, et al.. (2024). Evaluation of GPT Large Language Model Performance on RSNA 2023 Case of the Day Questions. Radiology. 313(1). e240609–e240609. 8 indexed citations

Jin, Qiao, Benjamin Hou, Pritam Mukherjee, et al.. (2024). Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports. PubMed. 2024. 402–411. 4 indexed citations

Hou, Benjamin, et al.. (2024). Enhanced muscle and fat segmentation for CT-based body composition analysis: a comparative study. International Journal of Computer Assisted Radiology and Surgery. 19(8). 1589–1596. 8 indexed citations

Liu, Jianfei, Seung Yeon Shin, Benjamin Hou, et al.. (2023). Improved ascites segmentation with bladder identification using anatomical location residual U-Net. 1 indexed citations

Mukherjee, Pritam, et al.. (2023). Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology Reports. Radiology. 309(1). e231147–e231147. 63 indexed citations

Hou, Benjamin. (2022). High-fidelity diabetic retina fundus image synthesis from freestyle lesion maps. Biomedical Optics Express. 14(2). 533–533. 4 indexed citations

Tan, Jeremy, et al.. (2022). Detecting Outliers with Foreign Patch Interpolation. 1(April 2022). 1–27. 17 indexed citations

10.

Miolane, Nina, Benjamin Hou, Stefan Heyder, et al.. (2020). Introduction to Geometric Learning in Python with Geomstats. Proceedings of the Python in Science Conferences. 48–57. 3 indexed citations

11.

Alansary, Amir, Ozan Oktay, Yuanwei Li, et al.. (2019). Evaluating reinforcement learning agents for anatomical landmark detection. Medical Image Analysis. 53. 156–164. 96 indexed citations

12.

Housden, R. James, Jacqueline Matthew, Daniel Rueckert, et al.. (2019). Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging. IEEE Transactions on Medical Imaging. 38(12). 2755–2767. 34 indexed citations

13.

Li, Yuanwei, Juan J. Cerrolaza, Matthew Sinclair, et al.. (2018). Standard Plane Localisation in 3D Fetal Ultrasound Using Network with Geometric and Image Loss. 4 indexed citations

14.

Hou, Benjamin, Bishesh Khanal, Amir Alansary, et al.. (2018). 3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images. IEEE Transactions on Medical Imaging. 37(8). 1737–1750. 54 indexed citations

15.

Hou, Benjamin, Nina Miolane, Bishesh Khanal, et al.. (2018). Deep Pose Estimation for Image-Based Registration. 4 indexed citations

16.

Mirza, Khalid B., Claudio Zuliani, Benjamin Hou, et al.. (2017). Injection moulded microneedle sensor for real-time wireless pH monitoring. PubMed. 2017. 189–192. 7 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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