A5070556980- Advanced Radiotherapy Techniques
- Radiation Therapy and Dosimetry
- Opinion Dynamics and Social Influence
- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Prostate Cancer Treatment and Research
- Glioma Diagnosis and Treatment
- Complex Network Analysis Techniques
- Advanced Thermodynamics and Statistical Mechanics
- RNA modifications and cancer
- Ocular Oncology and Treatments
- Medical Imaging Techniques and Applications
- DNA Repair Mechanisms
- Game Theory and Voting Systems
- Radiation Dose and Imaging
- Relativity and Gravitational Theory
- Cosmology and Gravitation Theories
- Advanced Fluorescence Microscopy Techniques
- Radiation Detection and Scintillator Technologies
- Lung Cancer Treatments and Mutations
- Particle Accelerators and Free-Electron Lasers
- Electoral Systems and Political Participation
The University of Texas Health Science Center at Houston
2013-2023
The University of Texas Health Science Center at San Antonio
2009-2018
Emory University
2000
University of Wisconsin–Madison
1994-1996
The convolution/superposition method was used to predict the dose throughout an extended volume, which includes a phantom and portal imaging device. From calculated delivered in image plane extracted compared image. This comparison aids verifying beam configuration or patient setup after delivery of radiation. phantoms test accuracy this include solid water cube, Nuclear Associates CT phantom, Alderson Rando thorax phantom. distribution measured with film electronic device each case. images...
Synchronized moving aperture radiation therapy (SMART) has been proposed to account for tumor motions during radiotherapy in prior work. The basic idea of SMART is synchronize the beam formed by a dynamic multileaf collimator (DMLC) with motion induced respiration. In this paper, two-dimensional (2D) superimposing leaf sequencing method presented SMART. A sequence optimization strategy was generated assure delivery under realistic conditions. study performance using Varian LINAC and...
We study Active Model B+, a scalar field theory extending the paradigmatic B for equilibrium coexistence through including terms that do not arise from an underlying free energy functional and thus break detailed balance. In first part of manuscript, we provide pedagogical self-contained introduction to one-loop dynamic renormalization. then address technical challenge complex vertex functions developing symbolic computer algebra code allows us obtain graphical corrections model parameters....
The adaptive voter model allows for studying the interplay between homophily, tendency of like-minded individuals to attract each other, and social influence, connected influence other. However, it relies on graphs, thus, only considers pairwise interactions. We develop a minimal extension hypergraphs study interactions groups arbitrary sizes using threshold parameter. $S$-uniform as initial configurations. With numerical simulations, we find new phenomena not found in counterpart models,...
The adaptive voter model allows for studying the interplay between homophily, tendency of like-minded individuals to attract each other, and social influence, connected influence other. However, it relies on graphs, thus, only considers pairwise interactions. We develop a minimal extension hypergraphs study interactions groups arbitrary sizes using threshold parameter. S-uniform as initial configurations. With numerical simulations, we find new phenomena not found in counterpart models, such...