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Results for "Benjamin Movsas": 10 found

A Predictive Tool for Optimizing Treatment System Allocation in Hypofractionated Whole-Breast Radiotherapy

Authors: Zhenzhen Dai, Anthony J. Doemer, Ryan Hall, Kenneth Levin, Bing Luo, Benjamin Movsas, Karen C. Snyder, Kundan S Thind, Eleanor Walker

Affiliation: Henry Ford Health, HFHS

Abstract Preview: Purpose: To investigate the feasibility of a predictive tool for efficient allocation of hypofractionated whole-breast irradiation patients between Varian Truebeam and Ethos systems.
Methods: A ful...

Advancing Post-Radiotherapy Toxicity Extraction: A Novel Privacy-Preserving, Parameter-Efficient Language Model Fine-Tuning

Authors: Hassan Bagher-Ebadian, Indrin J. Chetty, Mohamed Elshaikh, Ahmed I Ghanem, Mohammad M. Ghassemi, Reza Khanmohammadi, Benjamin Movsas, Shayan Siddiqui, Kundan S Thind, Jawad Turfa

Affiliation: Michigan State University, Department of Radiation Oncology,Cedars-Sinai Medical Center, Department of Radiation Oncology, Henry Ford Health-Cancer, Detroit, MI and Alexandria Department of Clinical Oncology, Faculty of Medicine, Alexandria University, Henry Ford Health

Abstract Preview: Purpose: Extracting late radiotherapy-induced toxicities from free-text notes using natural language processing is complicated by negative symptom identification, computational demands, and data priva...

Enhancing Radiation Oncology Imaging with a Novel Variational Model Decomposition, Radon Transformation, and Kohonen Self-Organizing Map Denoising Framework

Authors: Hassan Bagher-Ebadian, Justine M. Cunningham, Anthony J. Doemer, Mohammad M. Ghassemi, Joshua P. Kim, Benjamin Movsas, Kundan S Thind

Affiliation: Michigan State University, Henry Ford Health

Abstract Preview: Purpose: Reduction of noise in medical images critically enables improved accuracy in delineating tumors and organs at risk, leading to more precise treatment planning and safer image-guided radiation...

From Noisy Signals to Accurate Maps: Transforming Look-Locker MRI with an Intelligent T₁ Estimation

Authors: Prabhu C. Acharya, Hassan Bagher-Ebadian, Stephen L. Brown, James R. Ewing, Mohammad M. Ghassemi, Benjamin Movsas, Farzan Siddiqui, Kundan S Thind

Affiliation: Michigan State University, Oakland University, Henry Ford Health

Abstract Preview: Purpose: Accurate T1 quantification using T One by Multiple Read Out Pulse (TOMROP) sequences is essential for physiological assessments in dynamic-contrast-enhanced (DCE) MRI and T1 mapping studies. ...

Impact of a Dedicated Working Group on Standardization of CT-Guided Adaptive Radiation Therapy

Authors: Anthony J. Doemer, Aharon Feldman, Ian Gallagher, Yimei Huang, Brett M. Miller, Benjamin Movsas, Kundan S Thind

Affiliation: Henry Ford Health

Abstract Preview: Purpose: CT-guided adaptive radiation therapy (CTgART) is a technical, resource intensive, procedure that involves many different radiation oncology team members. To ensure consistent, high-quality CT...

In Vivo Dosimetry for Cied Management – Is It Really Needed?

Authors: Anthony J. Doemer, Aharon Feldman, Stephen J. Gardner, Brett M. Miller, Benjamin Movsas, Farzan Siddiqui, Chadd Smith, Kundan S Thind, Kyle Verdecchia

Affiliation: Henry Ford Health

Abstract Preview: Purpose: To evaluate the efficacy of calculation-only approach for CIED risk-level assessment.
Methods: A total of 86 patients were included in this retrospective analysis. For each patient, in viv...

Large Language Model Agents for Automated Radiotherapy Planning: A Knowledge-Enhanced Reinforcement Learning Approach

Authors: Hassan Bagher-Ebadian, Anthony J. Doemer, Ryan Hall, Joshua P. Kim, Bing Luo, Benjamin Movsas, Humza Nusrat, Kundan S Thind

Affiliation: Department of Physics, Toronto Metropolitan University, Henry Ford Health

Abstract Preview: Purpose: This study investigates the development and feasibility of local LLM-based agents to automate radiotherapy treatment planning, aiming to improve planning efficiency and consistency, while pre...

Minimizing Positioning Errors in Intracranial SRS: The Role of Verification Imaging after 6-Dof Corrections

Authors: Anthony J. Doemer, Yimei Huang, Benjamin Movsas, Ellen Park, Mira Shah, Salim Siddiqui, Karen C. Snyder, Kundan S Thind, Bo Zhao

Affiliation: Henry Ford Health

Abstract Preview: Purpose: The 6 degrees-of-freedom (6-DoF) robotic couch is considered essential for linac-based stereotactic radiosurgery (SRS), particularly for irregularly shaped targets adjacent to critical organs...

Towards AI-Driven Adaptive Radiotherapy: Developing a Framework for Utilizing Large-Vision Models in Head-and-Neck Cancer Treatment.

Authors: Anthony J. Doemer, Bing Luo, Benjamin Movsas, Humza Nusrat, Farzan Siddiqui, Chadd Smith, Kundan S Thind, Kyle Verdecchia

Affiliation: Department of Physics, Toronto Metropolitan University, Henry Ford Health

Abstract Preview: Purpose: Large-vision models (LVMs) are rapidly emerging, yet their application in radiation oncology remains largely unexplored. This study investigates the potential of LVMs for offline adaptive rad...

Whole Heart Sparing Ethos Adaptive Radiotherapy for Lung Cancer

Authors: Ibrahim Aref, David Bergman, Justine M. Cunningham, Payton Dolan, Aharon Feldman, Yimei Huang, Joshua P. Kim, Brett M. Miller, Emily Moats, Benjamin Movsas, Kundan S Thind

Affiliation: Henry Ford Health

Abstract Preview: Purpose: Cardiac radiation dose is directly associated with adverse cardiac events which are predictive of mortality in lung cancer patients. In fractionated lung radiotherapy, studies have shown a hi...