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Results for "zero shot": 12 found

Attention-Based Multiple Instance Learning of Head and Neck Cancer Grading on Digital Pathology Using Vision-Language Foundational Models

Authors: Kyle J. Lafata, Xiang Li, Megan K. Russ, Zion Sheng

Affiliation: Duke University, Department of Radiation Oncology, Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System

Abstract Preview: Purpose: To adapt Vision-Language Foundational Models (VLFM) to perform HNSCC tumor grading on H&E whole slide images (WSI) via attention-based multiple instance learning (ABMIL).
Methods: We utili...

Box-Prompt Zero-Shot Smart Segmentation in Radiation Oncology Using a SAM-Based Model: Smartsam

Authors: Kristen A. Duke, Samer Jabor, Neil A. Kirby, Parker New, Niko Papanikolaou, Arkajyoti Roy, Yuqing Xia

Affiliation: St. Mary's University, The University of Texas San Antonio, UT Health San Antonio

Abstract Preview: Purpose:
The Segment Anything Model (SAM) is a foundational box-prompt-based model for natural image segmentation. However, its applicability to zero-shot 3D medical image segmentation, particularl...

Commissioning and Validation of a Commercially Available 3D Linear Stage Device for Gamma Knife Hdmm QA

Authors: Alonso N. Gutierrez, Matthew D. Hall, Rupesh Kotecha, Yongsook C. Lee, Michael W. McDermott, Minesh P. Mehta, Ranjini P. Tolakanahalli, D. Jay J. Wieczorek

Affiliation: Miami Cancer Institute, Baptist Health South Florida

Abstract Preview: Purpose: The objective of this study is to systematically evaluate and validate the performance of a commercially available 3D Linear stage device as a quality assurance (QA) tool to validate position...

Efficient Denoising of Low-Statistic Influence Matrices Using a Diffusion Transformer-Based Framework for Adaptive Proton Therapy

Authors: Yuzhen Ding, Hongying Feng, Jason Michael Holmes, Baoxin Li, Wei Liu, Daniel Ma, Lisa McGee, Samir H. Patel, Jean Claude M. Rwigema, Sujay A. Vora

Affiliation: Arizona State University, Department of Radiation Oncology, Mayo Clinic, Mayo Clinic Arizona, Mayo Clinic

Abstract Preview: Purpose:
Intensity-modulated proton therapy (IMPT) is a preferred treatment modality for head and neck (H&N) cancer patients, offering precise tumor targeting while sparing surrounding organs at ri...

First in-Vivo Application of a Novel Precision Small Animal Irradiation Platform with Proton IMPT Delivery and Advanced on-Board Image-Guidance

Authors: Niels Bassler, Jonathan Bortfeldt, Davide Boscaini, Francesco Evangelista, Guyue Hu, Ze Huang, Margarita Kozak, Julie Lascaud, Giulio Lovatti, Eero Lönnqvist, Jasper Nijkamp, Munetaka Nitta, Prasannakumar Palaniappan, Katia Parodi, Marco Pinto, Per R. Poulsen, Marco Riboldi, Babak Sharifi, Brita Singers Sørensen, Peter Thirolf

Affiliation: Department of Medical Physics, Ludwig-Maximilians-Universität München (LMU Munich), Ludwig-Maximilians Universität, Danish Centre for Particle Therapy, Aarhus University Hospital, Department of Medical Physics, Ludwig-Maximilians-Universität (LMU) München, Department of Experimental Clinical Oncology, Aarhus University, Department of Oncology, Aarhus University Hospital

Abstract Preview: Purpose: To perform the first in vivo application of a novel small animal radiation research platform combining on-board image-guidance with multi-field intensity modulated spot scanning delivery [1] ...

Foundation Model Guidance for CBCT-CT Image Registration in Radiotherapy

Authors: Hacene Azizi, Abderaouf Behouch, Nabil Maalej, Aamir Raja, Mohamed Lamine Seghier

Affiliation: Khalifa University Biomedical Engineering & Biotechnology, Laboratory of dosing, analysis and characterization in high resolution, Ferhat Abbas Setif 1 University, Khalifa University Physics Department, Khalifa University

Abstract Preview: Purpose:
To ensure accurate alignment of cone-beam computed tomography (CBCT) and computed tomography (CT) images for image-guided radiotherapy, this study evaluates a foundation model guidance fra...

Fully Automated Zero-Shot Organ Segmentation in Male Pelvic MR Images for MR-Guided Radiation Therapy

Authors: Jihun Kim, Jin Sung Kim, Jun Won Kim, Yong Tae Kim, Chanwoong Lee, Jihyn Pyo, Young Hun Yoon

Affiliation: Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Department of Radiation Oncology, Gangnam Severance Hospital, Yonsei University College of Medicine

Abstract Preview: Purpose: Although segmentation foundation models have recently demonstrated promising zero-shot performance on natural images, its clinical application to magnetic resonance (MR) images still requires...

Interplay of Relative Biological Effectiveness and Dose Rate in Eye Plaque Brachytherapy with Low Energy Photons

Authors: Alexei V. Chvetsov, Sunan Cui, Sunyoung Jang, Robert D. Stewart

Affiliation: University of Washington and Fred Hutchinson Cancer Center, Penn State College of Medicine, University of Washington

Abstract Preview: Purpose: To evaluate spatial variation of relative biological effectiveness (RBE) in COMS (Collaborative Ocular Melanoma Study) eye plaques with low energy 125I and 103Pd photon sources as a function ...

Large Language Model-Driven Agentic System for Collaborative Decision-Making in Radiotherapy Treatment Planning

Authors: Yang Sheng, Qingrong Jackie Wu, Qiuwen Wu, Xin Wu, Dongrong Yang

Affiliation: Duke University Medical Center

Abstract Preview: Purpose:
This study aims to leverage large language model (LLMs) to develop a human-in-the-loop agentic framework, enhancing the efficiency of treatment planning in radiotherapy.
Methods:
A L...

Multimodal Attention Fusion Model Leveraging Structured and Unstructured EHR Data for Hospital Readmission Prediction in Head and Neck Cancer

Authors: Shreyas Anil, Jason Chan, Arushi Gulati, Yannet Interian, Hui Lin, Benedict Neo, Andrea Park, Bhumika Srinivas

Affiliation: Department of Otolaryngology Head and Neck Surgery, University of California San Francisco, Department of Data Science, University of San Francisco, Department of Radiation Oncology, University of California San Francisco

Abstract Preview: Purpose: Hospital readmission prediction models often rely on structured Electronic Health Record (EHR) data, overlooking critical insights from unstructured clinical notes. This study presents a mult...

Poisson Decay in Pharmacokinetics with Imaging in Targeted Alpha Therapy

Authors: Lars R Furenlid, Chiao Huang, Matthew A. Kupinski, Brian W. Miller

Affiliation: University of Arizona, Departments of Radiation Oncology and Medical Imaging, University of Arizona

Abstract Preview: Purpose: To sample random numbers of decay of radiotracers in a pharmacokinetic compartment model for Monte-Carlo simulation of imaging in targeted alpha therapy.
Methods: Time-activity curves (TAC...

Reasoning-Driven Prompts Improve EHR-Based Outcome Prediction and Clinical Interpretability in Large Language Models

Authors: Shreyas Anil, Jason Chan, Arushi Gulati, Yannet Interian, Hui Lin, Benedict Neo, Andrea Park, Bhumika Srinivas

Affiliation: Department of Otolaryngology Head and Neck Surgery, University of California San Francisco, Department of Data Science, University of San Francisco, Department of Radiation Oncology, University of California San Francisco, University of San Francisco

Abstract Preview: Purpose: As Large Language Models (LLMs) continue to evolve, their ability to analyze Electronic Health Record (EHR) notes for clinical decision support expands. Chain of Thought (COT) reasoning, an e...