Vasant Kearney

1.1k citations

29 papers · 821 indexed · h-index 14

Impact in

Radiation top 1%
- Advanced Radiotherapy Techniques
Health Informatics top 2%

Papers in

Radiation 16
- Advanced Radiotherapy Techniques 16
Health Informatics 2

Co-authors: Timothy D. Solberg Jason W. Chan Martina Descovich Samuel Haaf Sue S. Yom Gilmer Valdés Olivier Morin J Cheung
Journals: International Journal of Radiation Oncology*Biology*Physics (7 papers)Physics in Medicine and Biology (7 papers)Medical Physics (5 papers)Radiology Artificial Intelligence (1 paper)Scientific Reports (1 paper)
Partner nations: United States Netherlands Australia

In The Last Decade

Vasant Kearney

29 papers receiving 811 citations

Peers

Countries citing papers authored by Vasant Kearney

Since Specialization

Citations

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

Fields of papers citing papers by Vasant Kearney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vasant Kearney, 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 Vasant Kearney Line = papers co-authored together Vasant Kearney links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	A generative adversarial inpainting network to enhance prediction of periodontal clinical attachment level Journal of Dentistry ·Vasant Kearney, Alfa Yansane, N. Rajamand, Ram Vaderhobli, Guo‐Hao Lin, M. J. Miketinac, Wenxiang Deng, Yumiko Ganarin-Sato, Mahmoud Hafez, Henna Grönqvist, Joel M. White	2022	19
2	Improved accuracy of relative electron density and proton stopping power ratio through CycleGAN machine learning Physics in Medicine and Biology ·Jessica Scholey, Sue Flocke, Vasant Kearney, Sue S. Yom, Peder E. Z. Larson, Martina Descovich, Atchar Sudhyadhom	2022	3
3	DoseGAN: a generative adversarial network for synthetic dose prediction using attention-gated discrimination and generation Scientific Reports ·Vasant Kearney, Jason W. Chan, K.P. Price, Makenzie Perdue, Martina Descovich, Olivier Morin, Sue S. Yom, Timothy D. Solberg	2020	69
4	Attention-Aware Discrimination for MR-to-CT Image Translation Using Cycle-Consistent Generative Adversarial Networks Radiology Artificial Intelligence ·Vasant Kearney, Benjamin Ziemer, Makenzie Perdue, Tianqi Wang, Jason W. Chan, Lijun Ma, Olivier Morin, Sue S. Yom, Timothy D. Solberg	2020	56
5	Improved contrast and noise of megavoltage computed tomography (MVCT) through cycle‐consistent generative machine learning Medical Physics ·Sue Flocke, Jessica Scholey, Martina Descovich, Vasant Kearney, Atchar Sudhyadhom	2020	16
6	Attention-enabled 3D boosted convolutional neural networks for semantic CT segmentation using deep supervision Physics in Medicine and Biology ·Vasant Kearney, Jason W. Chan, K.P. Price, Makenzie Perdue, Sue S. Yom, Timothy D. Solberg	2019	38
7	Optimizing beam models for dosimetric accuracy over a wide range of treatments Physica Medica ·Josephine Chen, Olivier Morin, Michelle Reet, A Pérez-Andújar, James Christie, 范忠诚, Vasant Kearney, Dae Yup Han, J Cheung, Cynthia Chuang, Gilmer Valdés, Atchar Sudhyadhom, Timothy D. Solberg	2019	6
8	A convolutional neural network algorithm for automatic segmentation of head and neck organs at risk using deep lifelong learning Medical Physics ·Jason W. Chan, Vasant Kearney, Samuel Haaf, Susan Wu, Hugh Mercer Curtler, Li-Lien Liu, Abigail Ruminski, Atchar Sudhyadhom, Josephine Chen, Sue S. Yom, Timothy D. Solberg	2019	43
9	Spatial Attention Gated Variational Autoencoder Enhanced Cycle-Consistent Generative Adversarial Networks for MRI to CT Translation International Journal of Radiation OncologyBiologyPhysics ·Vasant Kearney, Arthur Levett artist. Jackson, B.M.J. Kruijsen, Jinqiang Lü, Jason W. Chan, Sue S. Yom, Timothy D. Solberg	2019	2
10	A Deep Look Into the Future of Quantitative Imaging in Oncology: A Statement of Working Principles and Proposal for Change International Journal of Radiation OncologyBiologyPhysics ·Olivier Morin, Martin Vallières, Arthur Jochems, Henry C. Woodruff, Gilmer Valdés, Steve Braunstein, Joachim E. Wildberger, Javier Villanueva-Meyer, Vasant Kearney, Sue S. Yom, Timothy D. Solberg, Philippe Lambin	2018	79
11	DoseNet: a volumetric dose prediction algorithm using 3D fully-convolutional neural networks Physics in Medicine and Biology ·Vasant Kearney, Jason W. Chan, Samuel Haaf, Martina Descovich, Timothy D. Solberg	2018	157
12	An unsupervised convolutional neural network-based algorithm for deformable image registration Physics in Medicine and Biology ·Vasant Kearney, Samuel Haaf, Atchar Sudhyadhom, Gilmer Valdés, Timothy D. Solberg	2018	50
13	The application of artificial intelligence in the IMRT planning process for head and neck cancer Oral Oncology ·Vasant Kearney, Jason W. Chan, Gilmer Valdés, Timothy D. Solberg, Sue S. Yom	2018	56
14	Deep Learning Misuse in Radiation Oncology International Journal of Radiation OncologyBiologyPhysics ·Vasant Kearney, Gilmer Valdés, Timothy D. Solberg	2018	5
15	A Multi-Task CNN Model for Autosegmentation of Prostate Patients International Journal of Radiation OncologyBiologyPhysics ·Vasant Kearney, Jason W. Chan, Martina Descovich, Sue S. Yom, Timothy D. Solberg	2018	6
16	A continuous arc delivery optimization algorithm for CyberKnife m6 Medical Physics ·Vasant Kearney, Martina Descovich, Atchar Sudhyadhom, J Cheung, Christopher McGuinness, Timothy D. Solberg	2018	12
17	Deep nets vs expert designed features in medical physics: An IMRT QA case study Medical Physics ·Yannet Interian, V.C. Rideout, Vasant Kearney, Efstathios D. Gennatas, Olivier Morin, J Cheung, Timothy D. Solberg, Gilmer Valdés	2018	101
18	CyberArc: a non-coplanar-arc optimization algorithm for CyberKnife Physics in Medicine and Biology ·Vasant Kearney, J Cheung, Christopher McGuinness, Timothy D. Solberg	2017	16
19	Canny edge-based deformable image registration Physics in Medicine and Biology ·Vasant Kearney, Yihui Huang, Weihua Mao, Baohong Yuan, Liping Tang	2017	8
20	Automated landmark-guided deformable image registration Physics in Medicine and Biology ·Vasant Kearney, J A Makar, Xuejun Gu, Tsuicheng Chiu, Joung-II Lee, Lan Jiang, Jing Wang, John S. Yordy, Lucien Nedzi, Weihua Mao	2014	19

About Vasant Kearney

Vasant Kearney is a scholar working on Radiation, Health Informatics, Radiology, Nuclear Medicine and Imaging, Oral Surgery and Otorhinolaryngology, having authored 29 papers that have together received 821 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (16 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Imaging Techniques and Applications (7 papers), Advanced X-ray and CT Imaging (6 papers), Radiation Therapy and Dosimetry (6 papers), AI in cancer detection (5 papers), Medical Imaging and Analysis (5 papers) and Radiation Dose and Imaging (4 papers). The work is most often cited by research in Radiation (461 citations), Health Informatics (51 citations), Radiology, Nuclear Medicine and Imaging (613 citations), Biomedical Engineering (305 citations) and Otorhinolaryngology (27 citations). Vasant Kearney has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Timothy D. Solberg, Jason W. Chan, Martina Descovich, Samuel Haaf, Sue S. Yom, Gilmer Valdés, Olivier Morin, J Cheung, Atchar Sudhyadhom and V.C. Rideout. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology, Medical Physics, Radiology Artificial Intelligence and Scientific Reports.

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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