H. Kenny

3.4k citations

58 papers · 2.2k · 1 hit paper · h-index 17

Impact in

Health Informatics top 0.5%
Radiology, Nuclear Medicine and Imaging top 0.5%
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications

Papers in

Radiology, Nuclear Medicine and Imaging 35
- Radiomics and Machine Learning in Medical Imaging 30
- COVID-19 diagnosis using AI 5
Surgery 25
- Bladder and Urothelial Cancer Treatments 22
- Urinary and Genital Oncology Studies 7

Co-authors: Lubomir M. Hadjiiski (42 shared papers)Heang‐Ping Chan (39 shared papers)Ravi K. Samala (28 shared papers)Mark A. Helvie (8 shared papers)Elaine M. Caoili (26 shared papers)Richard H. Cohan (26 shared papers)Karen Drukker (3 shared papers)Maryellen L. Giger (2 shared papers)
Journals: Medical Physics (11 papers)Tomography (4 papers)Physics in Medicine and Biology (3 papers)Scientific Reports (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
Partner nations: United States Bulgaria Canada

In The Last Decade

H. Kenny

52 papers receiving 2.2k citations

H. Kenny's Hit Papers

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Deep learning in medical imaging and radiation therapy 2018 · 527 citations

Peers

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-authors

The 25 scholars most cited alongside H. Kenny, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H. Kenny Line = papers co-authored together H. Kenny links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Deep learning in medical imaging and radiation therapy Medical Physics ·Berkman Sahiner, Aria Pezeshk, Lubomir M. Hadjiiski, Xiaosong Wang, Karen Drukker, H. Kenny, Ronald M. Summers, Maryellen L. Giger Hit paper breakdown →	2018	527
2	Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography Medical Physics ·Ravi K. Samala, Heang‐Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Jun Wei, H. Kenny	2016	210
3	Urinary bladder segmentation in CT urography using deep‐learning convolutional neural network and level sets Medical Physics ·H. Kenny, Lubomir M. Hadjiiski, Ravi K. Samala, Heang‐Ping Chan, Elaine M. Caoili, Richard H. Cohan	2016	178
4	Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets IEEE Transactions on Medical Imaging ·Ravi K. Samala, Heang‐Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb Richter, H. Kenny	2018	172
5	Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms Physics in Medicine and Biology ·Ravi K. Samala, Heang‐Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, H. Kenny, Caleb Richter	2017	156
6	Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning Scientific Reports ·H. Kenny, Lubomir M. Hadjiiski, Heang‐Ping Chan, Alon Z. Weizer, Ajjai Alva, Richard H. Cohan, Elaine M. Caoili, Chintana Paramagul, Ravi K. Samala	2017	151
7	PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images Journal of Medical Imaging ·Samuel G. Armato, Henkjan Huisman, Karen Drukker, Lubomir M. Hadjiiski, Justin Kirby, Nicholas Petrick, George Redmond, Maryellen L. Giger, H. Kenny, Artem B. Mamonov, Jayashree Kalpathy–Cramer, Keyvan Farahani	2018	126
8	Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features Tomography ·Jayashree Kalpathy–Cramer, Artem Mamomov, Binsheng Zhao, Lin Lü, Dmitry Cherezov, Sandy Napel, Sebastian Echegaray, Daniel L. Rubin, Michael F. McNitt‐Gray, Pechin Lo, Jessica C. Sieren, Johanna Uthoff, Samantha K. N. Dilger, Brandan Driscoll, Ivan Yeung, Lubomir M. Hadjiiski, H. Kenny, Yoganand Balagurunathan, Robert J. Gillies, Dmitry B. Goldgof	2016	96
9	Urinary bladder cancer staging in CT urography using machine learning Medical Physics ·Sankeerth S. Garapati, Lubomir M. Hadjiiski, H. Kenny, Heang‐Ping Chan, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Ajjai Alva, Chintana Paramagul, Jun Wei, Chuan Zhou	2017	92
10	Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis Physics in Medicine and Biology ·Ravi K. Samala, Heang‐Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb Richter, H. Kenny	2018	76
11	Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesis Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Ravi K. Samala, Heang‐Ping Chan, Lubomir M. Hadjiiski, H. Kenny, Mark A. Helvie	2016	59
12	U‐Net based deep learning bladder segmentation in CT urography Medical Physics ·Xiangyuan Ma, Lubomir M. Hadjiiski, Jun Wei, Heang‐Ping Chan, H. Kenny, Richard H. Cohan, Elaine M. Caoili, Ravi K. Samala, Chuan Zhou, Yao Lu	2019	55
13	Diagnostic Accuracy of CT for Prediction of Bladder Cancer Treatment Response with and without Computerized Decision Support Academic Radiology ·H. Kenny, Lubomir M. Hadjiiski, Richard H. Cohan, Heang‐Ping Chan, Elaine M. Caoili, Matthew S. Davenport, Ravi K. Samala, Alon Z. Weizer, Ajjai Alva, Galina Kirova-Nedyalkova, Kimberly L. Shampain, Nathaniel B. Meyer, Daniel Barkmeier, Sean Woolen, Prasad R. Shankar, Isaac R. Francis, Phillip L. Palmbos	2018	50
14	Deep Learning Approach for Assessment of Bladder Cancer Treatment Response Tomography ·Eric Q. Wu, Lubomir M. Hadjiiski, Ravi K. Samala, Heang‐Ping Chan, H. Kenny, Caleb Richter, Richard H. Cohan, Elaine M. Caoili, Chintana Paramagul, Ajjai Alva, Alon Z. Weizer	2019	48
15	Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learning Journal of Medical Imaging ·H. Kenny, Nicholas Petrick, Aria Pezeshk, Christian Graff, Diksha Sharma, Andreu Badal, Berkman Sahiner	2019	33
16	SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment Journal of Medical Imaging ·Nicholas Petrick, Shazia Akbar, H. Kenny, Sharon Nofech‐Mozes, Berkman Sahiner, Marios A. Gavrielides, Jayashree Kalpathy–Cramer, Karen Drukker, Anne L. Martel, for the BreastPathQ Challenge Group	2021	19
17	Deep‐learning convolutional neural network: Inner and outer bladder wall segmentation in CT urography Medical Physics ·Marshall N. Gordon, Lubomir M. Hadjiiski, H. Kenny, Ravi K. Samala, Heang‐Ping Chan, Richard H. Cohan, Elaine M. Caoili	2018	17
18	Semi‐automated pulmonary nodule interval segmentation using the NLST data Medical Physics ·Yoganand Balagurunathan, Andrew Beers, Jayashree Kalpathy–Cramer, Michael F. McNitt‐Gray, Lubomir M. Hadjiiski, Bensheng Zhao, Jiangguo Zhu, Hao Yang, Stephen Yip, Hugo J.W.L. Aerts, Sandy Napel, Dmitrii Cherezov, H. Kenny, Heang‐Ping Chan, Carlos Flores, Alberto López García, Robert J. Gillies, Dmitry B. Goldgof	2018	15
19	Intraobserver Variability in Bladder Cancer Treatment Response Assessment With and Without Computerized Decision Support Tomography ·Lubomir M. Hadjiiski, H. Kenny, Richard H. Cohan, Heang‐Ping Chan, Elaine M. Caoili, Matthew S. Davenport, Ravi K. Samala, Alon Z. Weizer, Ajjai Alva, Galina Kirova-Nedyalkova, Kimberly L. Shampain, Nathaniel B. Meyer, Daniel Barkmeier, Sean Woolen, Prasad R. Shankar, Isaac R. Francis, Phillip L. Palmbos	2020	13
20	Bladder cancer treatment response assessment using deep learning in CT with transfer learning Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·H. Kenny, Lubomir M. Hadjiiski, Heang‐Ping Chan, Ravi K. Samala, Richard H. Cohan, Elaine M. Caoili, Chintana Paramagul, Ajjai Alva, Alon Z. Weizer	2017	13

About H. Kenny

H. Kenny is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Oncology, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 58 papers that have together received 2.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (30 papers), Bladder and Urothelial Cancer Treatments (22 papers), Colorectal Cancer Screening and Detection (19 papers), AI in cancer detection (18 papers), Digital Radiography and Breast Imaging (9 papers), Urinary and Genital Oncology Studies (7 papers), COVID-19 diagnosis using AI (5 papers) and Prostate Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Health Informatics (157 citations), Radiology, Nuclear Medicine and Imaging (1.5k citations), Artificial Intelligence (960 citations), Computer Vision and Pattern Recognition (384 citations) and Neurology (154 citations). H. Kenny has collaborated with scholars based in United States, Bulgaria and Canada. Frequent 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. Their work appears in journals such as Medical Physics, Tomography, Physics in Medicine and Biology, Scientific Reports and IEEE Journal of Biomedical and Health Informatics.

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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