Vasant Kearney

Vasant Kearney

Vasant Kearney, Ph.D.

Assistant Professor
Division of Physics
Department of Radiation Oncology

University of California, San Francisco
Helen Diller Family Comprehensive Cancer Center
Box 1708, 1600 Divisadero St, H1031
San Francisco, CA 94115

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Professional Focus

Dr. Kearney specializes in computer vision algorithmic development and has extensive knowledge in deep learning, treatment plan optimization, full stack design, and medical physics computational engines. Dr. Kearney also focuses on clinical workflow automation and has productionized many software applications aimed at streamlining clinical tasks.

Education

2008 University of California, Santa Cruz BS Physics
2012 SDSU with Thesis at UCSD MS Medical Physics
2016 UT Southwestern and UT Arlington PhD Biomedical Engineering
2018 University of California, San Francisco Residency Radiation Oncology
 

Professional Experience

2018-present University of California, San Francisco Assistant Professor Department of Radiation Oncology


Awards & Honors

2012 Norm Baily Award, American Association of Physicist in Medicine, Southern California Chapter
2013 Kelcy L. Warren Award, Endowed engineering scholarship
2014 GAANN engineering fellowship, Faculty Nominated Biomedical Engineering Fellowship
2015 GAANN engineering fellowship, Faculty Nominated Biomedical Engineering Fellowship
2016 Dissertation Fellowship, Biomedical Engineering Department Nominated Fellowship
2017 Best Physics Talk Award, American Association of Physicist in Medicine, Northern California Chapter








 

Patents

Vasant Kearney, Timmy Siauw. (2017) “Methods and Apparatus for Deep Learning-Based Automatic Segmentation on 3D Medical Images”, U.S. Patent Application No. 62574716

Vasant Kearney, John Dorsey, Aaron Schoenberger, (2017) “Deep Learning-Based Social Monitoring”, U.S. Patent Application No. 62579432

Vasant Kearney, Timmy Siauw. (2015) “Systems and Methods for Cloud-Based Radiation Therapy Treatment Planning”, Non-Provisional U.S. Non-Provisional Patent Application No. 15359415


Recent Significant Publications:

Kearney, Vasant, Chan, J., … & Solberg, T. (2019). Attention-enabled 3D boosted convolutional neural networks for semantic CT segmentation using deep supervision. Physics in Medicine & Biology.

Chan, J.*, Kearney, Vasant*, ... & Solberg, T. (2019). A convolutional neural network algorithm for automatic segmentation of head and neck organs at risk using deep lifelong learning. Medical physics. *These Two Authors Contributed Equally

Kearney, Vasant, Chan, J., & Solberg, T. (2018). DoseNet: a volumetric dose prediction algorithm using 3D fully-convolutional neural networks. Physics in Medicine & Biology.

Kearney, Vasant, Chan, J., … & Yom, S.(2018). The application of artificial intelligence in the IMRT planning process for head and neck cancer. Oral oncology.

Kearney, Vasant, Haaf, S., ... & Solberg, T. (2018). An unsupervised convolutional neural network-based algorithm for deformable image registration. Physics in Medicine & Biology.

Kearney, Vasant, Descovich, M., … & Solberg, D. (2018). A Continuous Arc Delivery Optimization Algorithm for CyberKnife m6. Medical Physics.

Kearney, Vasant, Solberg T., … Valdes G. (2018). Correcting TG 119 confidence limits. Medical physics.

Kearney, Vasant, Cheung, J., … & Solberg, T. (2017). CyberArc: a non-coplanar-arc optimization algorithm for CyberKnife. Physics in Medicine & Biology.

Kearney, Vasant, Huang, Y., … & Tang, L. (2017). Canny edge-based deformable image registration. Physics in medicine and biology.

Kearney, Vasant, Chen, S., ... & Mao, W. (2015). Automated landmark-guided deformable image registration. Physics in medicine and biology.