H. Kenny

3.4k total citations · 1 hit paper
58 papers, 2.2k citations indexed

About

H. Kenny is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Oncology. According to data from OpenAlex, H. Kenny has authored 58 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Surgery and 22 papers in Oncology. Recurrent topics in H. Kenny's work include Radiomics and Machine Learning in Medical Imaging (30 papers), Bladder and Urothelial Cancer Treatments (22 papers) and Colorectal Cancer Screening and Detection (19 papers). H. Kenny is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (30 papers), Bladder and Urothelial Cancer Treatments (22 papers) and Colorectal Cancer Screening and Detection (19 papers). H. Kenny collaborates with scholars based in United States, Bulgaria and Canada. H. Kenny's co-authors include Lubomir M. Hadjiiski, Heang‐Ping Chan, Ravi K. Samala, Mark A. Helvie, Elaine M. Caoili, Richard H. Cohan, Karen Drukker, Maryellen L. Giger, Berkman Sahiner and Caleb Richter and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Medical Imaging and BMC Bioinformatics.

In The Last Decade

H. Kenny

52 papers receiving 2.2k 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.

Deep learning in medical imaging and radiation therapy

2018 527 citations Berkman Sahiner, Aria Pezeshk et al. Medical Physics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H. Kenny United States	17	1.5k	960	576	408	384	58	2.2k
Ravi K. Samala United States	23	1.6k 1.0×	1.4k 1.4×	600 1.0×	361 0.9×	382 1.0×	80	2.6k
June‐Goo Lee South Korea	22	1.4k 0.9×	464 0.5×	471 0.8×	670 1.6×	322 0.8×	66	2.3k
Bruce A. Vendt United States	8	2.1k 1.4×	959 1.0×	802 1.4×	584 1.4×	739 1.9×	9	3.3k
Yipeng Hu United Kingdom	24	1.1k 0.7×	474 0.5×	938 1.6×	617 1.5×	871 2.3×	91	2.7k
Chuan Zhou United States	28	1.9k 1.2×	1.3k 1.4×	1.4k 2.3×	494 1.2×	458 1.2×	127	2.9k
Jinhua Yu China	31	2.5k 1.7×	992 1.0×	524 0.9×	781 1.9×	635 1.7×	195	4.0k
Panagiotis Korfiatis United States	25	1.7k 1.1×	746 0.8×	434 0.8×	498 1.2×	313 0.8×	67	3.0k
Farzad Khalvati Canada	24	1.4k 0.9×	482 0.5×	782 1.4×	405 1.0×	247 0.6×	88	2.0k
Evrim Türkbey United States	30	1.8k 1.2×	448 0.5×	677 1.2×	353 0.9×	325 0.8×	94	3.6k
Jun Wei United States	30	1.9k 1.2×	1.4k 1.5×	1.3k 2.3×	516 1.3×	492 1.3×	154	2.9k

Countries citing papers authored by H. Kenny

Since Specialization

Citations

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

Fields of papers citing papers by H. Kenny

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Kenny

This figure shows the co-authorship network connecting the top 25 collaborators of H. Kenny. A scholar is included among the top collaborators of H. Kenny 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 H. Kenny. H. Kenny 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:

20 of 20 papers shown

Kenny, H., et al.. (2024). Two Rare Cases of Metastatic Occult Thyroid Carcinoma Without Primary Cancer in the Thyroid Gland. Cureus. 16(6). e63280–e63280.

Petrick, Nicholas, et al.. (2024). Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods. IEEE Journal of Biomedical and Health Informatics. 29(2). 1444–1454.

Sahiner, Berkman, et al.. (2024). Decision region analysis for generalizability of artificial intelligence models: estimating model generalizability in the case of cross-reactivity and population shift. Journal of Medical Imaging. 11(1). 14501–14501. 2 indexed citations

Hadjiiski, Lubomir M., Ajjai Alva, Heang‐Ping Chan, et al.. (2023). Survival prediction for patients with metastatic urothelial cancer after immunotherapy by machine learning. 119–119. 1 indexed citations

Hagemann, Ian S., et al.. (2023). Weakly supervised deep learning for predicting the response to hormonal treatment of women with atypical endometrial hyperplasia: a feasibility study. PubMed. 12471. 31–31. 3 indexed citations

Kenny, H., et al.. (2022). Profiling the BLAST bioinformatics application for load balancing on high-performance computing clusters. BMC Bioinformatics. 23(1). 544–544. 1 indexed citations

Woolen, Sean, Lubomir M. Hadjiiski, H. Kenny, et al.. (2021). Prediction of Disease Free Survival in Laryngeal and Hypopharyngeal Cancers Using CT Perfusion and Radiomic Features: A Pilot Study. Tomography. 7(1). 10–19. 9 indexed citations

Hadjiiski, Lubomir M., H. Kenny, Richard H. Cohan, et al.. (2020). Intraobserver Variability in Bladder Cancer Treatment Response Assessment With and Without Computerized Decision Support. Tomography. 6(2). 194–202. 13 indexed citations

Kenny, H., Nicholas Petrick, Aria Pezeshk, et al.. (2019). Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images. 6 indexed citations

10.

Samala, Ravi K., Heang‐Ping Chan, Lubomir M. Hadjiiski, et al.. (2018). Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis. Physics in Medicine and Biology. 63(9). 95005–95005. 76 indexed citations

11.

Kenny, H., Lubomir M. Hadjiiski, Richard H. Cohan, et al.. (2018). Diagnostic Accuracy of CT for Prediction of Bladder Cancer Treatment Response with and without Computerized Decision Support. Academic Radiology. 26(9). 1137–1145. 50 indexed citations

12.

Balagurunathan, Yoganand, Andrew Beers, Jayashree Kalpathy–Cramer, et al.. (2018). Semi‐automated pulmonary nodule interval segmentation using the NLST data. Medical Physics. 45(3). 1093–1107. 15 indexed citations

13.

Samala, Ravi K., Heang‐Ping Chan, Lubomir M. Hadjiiski, et al.. (2017). Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms. Physics in Medicine and Biology. 62(23). 8894–8908. 156 indexed citations

14.

Samala, Ravi K., Heang‐Ping Chan, Lubomir M. Hadjiiski, et al.. (2016). Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography. Medical Physics. 43(12). 6654–6666. 210 indexed citations

15.

Kalpathy–Cramer, Jayashree, Binsheng Zhao, Lin Lü, et al.. (2016). Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features. Tomography. 2(4). 430–437. 96 indexed citations

16.

Kenny, H., Lubomir M. Hadjiiski, Ravi K. Samala, et al.. (2016). Urinary bladder segmentation in CT urography using deep‐learning convolutional neural network and level sets. Medical Physics. 43(4). 1882–1896. 178 indexed citations

17.

Kenny, H., Lubomir M. Hadjiiski, Heang‐Ping Chan, et al.. (2015). Detection of urinary bladder mass in CT urography with SPAN. Medical Physics. 42(7). 4271–4284. 7 indexed citations

18.

Hadjiiski, Lubomir M., Heang‐Ping Chan, Richard H. Cohan, et al.. (2014). Ureter tracking and segmentation in CT urography (CTU) using COMPASS. Medical Physics. 41(12). 121906–121906. 4 indexed citations

19.

Kenny, H., Lubomir M. Hadjiiski, Heang‐Ping Chan, et al.. (2014). CT urography: segmentation of urinary bladder using CLASS with local contour refinement. Physics in Medicine and Biology. 59(11). 2767–2785. 11 indexed citations

20.

Hadjiiski, Lubomir M., Heang‐Ping Chan, Richard H. Cohan, et al.. (2013). Urinary bladder segmentation in CT urography (CTU) using CLASS. Medical Physics. 40(11). 111906–111906. 8 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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