Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Hamidreza Nourzadeh"'
Autor:
Christopher Luminais, Hamidreza Nourzadeh, Eric Aliotta, Kristin Ward, David Cousins, Timothy Showalter, Bruce Libby
Publikováno v:
Journal of Contemporary Brachytherapy, Vol 14, Iss 5, Pp 423-428 (2022)
Externí odkaz:
https://doaj.org/article/a0eaeb50de2d4a73907b1e8899da01f4
Publikováno v:
Advances in Radiation Oncology, Vol 5, Iss 2, Pp 279-288 (2020)
Purpose: To introduce multiobjective, multidelivery optimization (MODO), which generates alternative patient-specific plans emphasizing dosimetric trade-offs and conformance to quasi-constrained (QC) conditions for multiple delivery techniques. Metho
Externí odkaz:
https://doaj.org/article/90f1c7140fde4d8e872ea216f0f08f17
Autor:
Hamidreza Nourzadeh, John McInroy
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 11 (2014)
This paper develops a robust optimization-based method to design orbits on which the sensory perception of the desired physical quantities are maximized. It also demonstrates how to incorporate various constraints imposed by many spacecraft missions,
Externí odkaz:
https://doaj.org/article/1ee5421575fd47bcaea398dfba2cfc8c
Autor:
Hamidreza Nourzadeh, Cheukkai Hui, Mahmoud Ahmad, Nasrin Sadeghzadehyazdi, William T. Watkins, Sunil W. Dutta, Clayton E. Alonso, Daniel M. Trifiletti, Jeffrey V. Siebers
Publikováno v:
Medical Physics. 49:1368-1381
To reduce the likelihood of errors in organ delineations used for radiotherapy treatment planning, a knowledge-based quality control (KBQC) system, which discriminates between valid and anomalous delineations is developed.The KBQC is comprised of a g
Autor:
Aaron Babier, Rafid Mahmood, Binghao Zhang, Victor G L Alves, Ana Maria Barragán-Montero, Joel Beaudry, Carlos E Cardenas, Yankui Chang, Zijie Chen, Jaehee Chun, Kelly Diaz, Harold David Eraso, Erik Faustmann, Sibaji Gaj, Skylar Gay, Mary Gronberg, Bingqi Guo, Junjun He, Gerd Heilemann, Sanchit Hira, Yuliang Huang, Fuxin Ji, Dashan Jiang, Jean Carlo Jimenez Giraldo, Hoyeon Lee, Jun Lian, Shuolin Liu, Keng-Chi Liu, José Marrugo, Kentaro Miki, Kunio Nakamura, Tucker Netherton, Dan Nguyen, Hamidreza Nourzadeh, Alexander F I Osman, Zhao Peng, José Darío Quinto Muñoz, Christian Ramsl, Dong Joo Rhee, Juan David Rodriguez, Hongming Shan, Jeffrey V Siebers, Mumtaz H Soomro, Kay Sun, Andrés Usuga Hoyos, Carlos Valderrama, Rob Verbeek, Enpei Wang, Siri Willems, Qi Wu, Xuanang Xu, Sen Yang, Lulin Yuan, Simeng Zhu, Lukas Zimmermann, Kevin L Moore, Thomas G Purdie, Andrea L McNiven, Timothy C Y Chan
Publikováno v:
Physics in medicine and biology. 67(18)
We establish an open framework for developing plan optimization models for knowledge-based planning (KBP) in radiotherapy. Our framework includes reference plans for 100 patients with head-and-neck cancer and high-quality dose predictions from 19 KBP
Autor:
Wookjin Choi, Victor Gabriel Leandro Alves, Jeffrey V. Siebers, Hamidreza Nourzadeh, Eric Aliotta
Publikováno v:
Advances in Radiation Oncology
Purpose Manual delineation (MD) of organs at risk (OAR) is time and labor intensive. Auto-delineation (AD) can reduce the need for MD, but because current algorithms are imperfect, manual review and modification is still typically used. Recognizing t
Publikováno v:
Advances in Radiation Oncology
Advances in Radiation Oncology, Vol 5, Iss 2, Pp 279-288 (2020)
Advances in Radiation Oncology, Vol 5, Iss 2, Pp 279-288 (2020)
Purpose To introduce multiobjective, multidelivery optimization (MODO), which generates alternative patient-specific plans emphasizing dosimetric trade-offs and conformance to quasi-constrained (QC) conditions for multiple delivery techniques. Method
Publikováno v:
Medical physicsREFERENCES. 48(8)
PURPOSE To determine the pixel sensitivity map (PSM) for amorphous silicon electronic portal imaging devices (EPIDs) using a single flood field signal. METHOD AND MATERIALS A raw EPID signal results from the incident particle energy fluence, the inhe
Publikováno v:
Magnetic resonance in medicineREFERENCES. 85(2)
Purpose To develop and evaluate machine-learning methods that reconstruct fractional anisotropy (FA) values and mean diffusivities (MD) from 3-direction diffusion MRI (dMRI) acquisitions. Methods Two machine-learning models were implemented to map un
Publikováno v:
Med Phys
Purpose To introduce the definite target volume (DTV) and evaluate dosimetric consequences of boosting dose to this region of high clinical target volume (CTV)- and low organs at risk (OAR)-probability. Methods This work defines the DTV via occupancy