Tomi Nano, PhD
Assistant Professor
Radiation Oncology
School of Medicine
Artificial intelligence (AI) in medicine, such as machine or deep learning, has evolved drastically in recent years. It is being applied to a broad spectrum of problems, however, there are few AI algorithms that have transitioned to clinic and disseminated into practice. Translation of AI algorithms that use medical imaging requires understanding of fundamental imaging physics.
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Imaging data has some degree of noise, and AI algorithms have some degree of inaccuracy. By understanding the relationship between imaging and statistical models, we can improve how to implement AI algorithms in clinics to provide more accurate predictions.
Dr. Nano's academic and research training has equipped me with a strong understanding of imaging fundamentals that include physics of detectors, image reconstruction, image processing and feature detection in a variety of imaging modalities. Outcomes from Dr. Nano's work are being used in industry and translated to clinics. Dr. Nano's research work has resulted in 7 peer reviewed manuscripts (to journals such as Medical Physics), 2 book chapters, and more than 20 conference presentation. During residency, Dr. Nano will use expertise in medical imaging and computer science to develop a mathematical framework that address challenges of translatability, interpretability and robustness of machine and deep learning predictions in radiation oncology. The overarching goal is to improve patient outcomes and reduce side effects of radiation treatment.
Dr. Nano's clinical responsibility is physics support of radiotherapy. During his residency training, he has contributed to installation, commissioning, maintenance and quality assurance of equipment and procedures used in radiation treatment planning and delivery. Highlights of Dr. Nano's clinical development work at UCSF include: 1) implementing quality assurance reporting of treatments with motion management, and 2) evaluation of inter- and intra- fraction motion during SBRT treatments.
Awards
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- Mount Zion Health Fund (MZHF Grant #20211155), UCSF, 2021-2022
- Mount Zion Health Fund (MZHF Grant #20201225 - RAP cancer), UCSF, 2020-2021
- Natural Sciences and Engineering Research Council (NSERC) PGSD, Western University, 2018-2019
- Translation Breast Cancer Research Traineeship (TBCRU), Western University, 2016-2018
- Natural Sciences and Engineering Research Council (NSERC) CGSM, Western University, 2015-2017
Education & Training
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- Ph.D. Medical Biophysics Western University 06/2019
- M.Cl.Sc. Medical Physics (CAMPEP) Western University 01/2017
- B.Ss. (Honors) Physics University of Windsor 05/2014
Interests
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- Medical Imaging
- Image Processing
- Radiation Biology
- Statistical Learning Frameworks
- Radiation Oncology
Websites
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- Google Scholar (scholar.google.com)
Publications (10)
Top publication keywords:
Robotic Surgical ProceduresRadiotherapy, Image-GuidedTomography, X-Ray ComputedBrachytherapyRadiotherapy Planning, Computer-AssistedRadiotherapy, Intensity-ModulatedHeadRadiosurgeryPhantoms, ImagingX-RaysModels, TheoreticalSmartphoneRadiographic Image EnhancementRadiation OncologyMotion
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End-to-end validation of fiducial tracking accuracy in robotic radiosurgery using MRI-only simulation imaging.
Medical physics 2023 Singhrao K, Zubair M, Nano T, Scholey JE, Descovich M -
A Couch Mounted Smartphone-based Motion Monitoring System for Radiation Therapy.
Practical radiation oncology 2023 Capaldi DPI, Axente M, Yu AS, Prionas ND, Hirata E, Nano TF -
Predicting the Effect of Proton Beam Therapy Technology on Pulmonary Toxicities for Patients With Locally Advanced Lung Cancer Enrolled in the Proton Collaborative Group Prospective Clinical Trial.
International journal of radiation oncology, biology, physics 2023 Valdes G, Scholey J, Nano TF, Gennatas ED, Mohindra P, Mohammed N, Zeng J, Kotecha R, Rosen LR, Chang J, Tsai HK, Urbanic JJ, Vargas CE, Yu NY, Ungar LH, Eaton E, Simone CB -
Tungsten Filled 3-Dimensional Printed Lung Blocks for Total Body Irradiation.
Practical radiation oncology 2023 Capaldi DPI, Gibson C, Villa A, Schulz JB, Ziemer BP, Fu J, Dubrowski P, Yu AS, Fogh S, Chew J, Boreta L, Braunstein SE, Witztum A, Hirata E, Morin O, Skinner LB, Nano TF -
A systematic review and meta-analysis of liver tumor position variability during SBRT using various motion management and IGRT strategies.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 2021 Sharma M, Nano TF, Akkati M, Milano MT, Morin O, Feng M
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Stereotactic Body Radiation Therapy and High-Dose-Rate Brachytherapy Boost in Combination With Intensity Modulated Radiation Therapy for Localized Prostate Cancer: A Single-Institution Propensity Score Matched Analysis.
International journal of radiation oncology, biology, physics 2020 Chen WC, Li Y, Lazar A, Altun A, Descovich M, Nano T, Ziemer B, Sudhyadhom A, Cunha A, Thomas H, Gottschalk A, Hsu IC, Roach M -
Technical Note: Performance of CyberKnife® tracking using low-dose CT and kV imaging.
Medical physics 2020 Nano TF, Capaldi DPI, Yeung T, Chuang CF, Wang L, Descovich M -
Technical Note: Evaluation of audiovisual biofeedback smartphone application for respiratory monitoring in radiation oncology.
Medical physics 2020 Capaldi DPI, Nano TF, Zhang H, Skinner LB, Xing L -
MTF and DQE enhancement using an apodized-aperture x-ray detector design.
Medical physics 2017 Nano TF, Escartin T, Ismailova E, Karim KS, Lindström J, Kim HK, Cunningham IA -
A novel x-ray detector design with higher DQE and reduced aliasing: Theoretical analysis of x-ray reabsorption in detector converter material
A novel x-ray detector design with higher DQE and reduced aliasing: Theoretical analysis of x-ray reabsorption in detector converter material 2016 Tomi Nano, Terenz Escartin, Karim S. Karim, Ian A. Cunningham