Výsledky vyhledávání - "Patel, Samir A."

Report

Enabling Clinical Use of Linear Energy Transfer in Proton Therapy for Head and Neck Cancer -- A Review of Implications for Treatment Planning and Adverse Events Study

Autor: Chen, Jingyuan, Yang, Yunze, Feng, Hongying, Liu, Chenbin, Zhang, Lian, Holmes, Jason M., Liu, Zhengliang, Lin, Haibo, Liu, Tianming, Simone II, Charles B., Lee, Nancy Y., Frank, Steven E., Ma, Daniel J., Patel, Samir H., Liu, Wei

Proton therapy offers significant advantages due to its unique physical and biological properties, particularly the Bragg peak, enabling precise dose delivery to tumors while sparing healthy tissues. However, the clinical implementation is challenged

Externí odkaz: http://arxiv.org/abs/2410.04358

Zobrazit plný text záznamu

Report

Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses from Closed-Domain LLM vs. Clinical Teams

Autor: Hao, Yuexing, Holmes, Jason M., Hobson, Jared, Bennett, Alexandra, Ebner, Daniel K., Routman, David M., Shiraishi, Satomi, Patel, Samir H., Yu, Nathan Y., Hallemeier, Chris L., Ball, Brooke E., Waddle, Mark R., Liu, Wei

In-basket message interactions play a crucial role in physician-patient communication, occurring during all phases (pre-, during, and post) of a patient's care journey. However, responding to these patients' inquiries has become a significant burden

Externí odkaz: http://arxiv.org/abs/2409.18290

Zobrazit plný text záznamu

Report

Accurate Patient Alignment without Unnecessary Imaging Dose via Synthesizing Patient-specific 3D CT Images from 2D kV Images

Autor: Ding, Yuzhen, Holmes, Jason M., Feng, Hongying, Li, Baoxin, McGee, Lisa A., Rwigema, Jean-Claude M., Vora, Sujay A., Ma, Daniel J., Foote, Robert L., Patel, Samir H., Liu, Wei

In radiotherapy, 2D orthogonally projected kV images are used for patient alignment when 3D-on-board imaging(OBI) unavailable. But tumor visibility is constrained due to the projection of patient's anatomy onto a 2D plane, potentially leading to subs

Externí odkaz: http://arxiv.org/abs/2405.19338

Zobrazit plný text záznamu

Report

RadOnc-GPT: A Large Language Model for Radiation Oncology

Autor: Liu, Zhengliang, Wang, Peilong, Li, Yiwei, Holmes, Jason, Shu, Peng, Zhang, Lian, Liu, Chenbin, Liu, Ninghao, Zhu, Dajiang, Li, Xiang, Li, Quanzheng, Patel, Samir H., Sio, Terence T., Liu, Tianming, Liu, Wei

This paper presents RadOnc-GPT, a large language model specialized for radiation oncology through advanced tuning methods. RadOnc-GPT was finetuned on a large dataset of radiation oncology patient records from the Mayo Clinic in Arizona. The model em

Externí odkaz: http://arxiv.org/abs/2309.10160

Zobrazit plný text záznamu

Report

Modelling small block aperture in an in-house developed GPU-accelerated Monte Carlo-based dose engine for pencil beam scanning proton therapy

Autor: Feng, Hongying, Holmes, Jason M., Vora, Sujay A., Stoker, Joshua B., Bues, Martin, Wong, William W., Sio, Terence S., Foote, Robert L., Patel, Samir H., Shen, Jiajian, Liu, Wei

Purpose: To enhance an in-house graphic-processing-unit (GPU) accelerated virtual particle (VP)-based Monte Carlo (MC) proton dose engine (VPMC) to model aperture blocks in both dose calculation and optimization for pencil beam scanning proton therap

Externí odkaz: http://arxiv.org/abs/2307.01416

Zobrazit plný text záznamu

Report

Carbon Emission Prediction on the World Bank Dataset for Canada

Autor: Desai, Aman, Gandhi, Shyamal, Gupta, Sachin, Shah, Manan, Patel, Samir

The continuous rise in CO2 emission into the environment is one of the most crucial issues facing the whole world. Many countries are making crucial decisions to control their carbon footprints to escape some of their catastrophic outcomes. There has

Externí odkaz: http://arxiv.org/abs/2211.17010

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání