Authors: Steve Braunstein, Yannet Interian, Hui Lin, Bo Liu, Janine Lupo, Olivier Morin, Benedict Neo
Affiliation: Radiation Oncology, University of California San Francisco, Graduate Program in Bioengineering, University of California San Francisco-UC Berkeley, Department of Radiation Oncology, University of California San Francisco, Department of Data Science, University of San Francisco, University of San Francisco
Abstract Preview: Purpose: Large Language Models (LLMs) demonstrate strong general text comprehension but remain limited in oncology due to insufficient contextual alignment. We pilot embedding alignment through radiol...
Authors: Alejandro Bertolet, Michael D. Farwell, Sarah Gitto, Victor V. Onecha, Daniel Pryma, Aladdin Riad
Affiliation: Department of Pathology and Laboratory Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Department of Radiology, Perelman School of Medicine, Perelman School of Medicine at the University of Pennsylvania, Massachusetts General Hospital and Harvard Medical School
Abstract Preview: Purpose: Responses to ionizing radiation (IR) strongly correlate with the absorbed dose. At the cellular level, this is typically described by a linear-quadratic relationship provided the cell populat...
Authors: Aditya P. Apte, Xinan Chen, Joseph O. Deasy, Ramesh Paudyal, Kyung Peck, Amita Shukla-Dave, Nathaniel Swinburne, Robert J. Young
Affiliation: Department of Radiology, Memorial Sloan Kettering Cancer Center, Department of Medical Physics, Memorial Sloan Kettering Cancer Center
Abstract Preview: Purpose: We apply our novel formulation of unbalanced-regularized-optimal-mass-transport (urOMT) theory to brain DCE-MRI data to quantify and visualize the behaviors of fluid flows in post-treatment f...
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...
Authors: Dukagjin Blakaj, Zhilin Hu, Stephen Kang, Abberly Lott Limbach, Lanchun Lu, Henry Xiang, Jie Zhang
Affiliation: Pharostek, Department of Pediatrics, The Ohio State University, Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Department of Radiology, University of Kentucky, Department of Pathology, The Ohio State University, Department of Radiation Oncology, The Ohio State University, Department of Otolaryngology, The Ohio State University
Abstract Preview: Purpose: Detect surgical margin in vivo using an original barcode-reading type portable OCT imaging system.
Methods: We developed a barcode-reading type portable optical coherence tomography (OCT) ...
Authors: Diana Cardona, Casey C. Heirman, William Jeck, Kyle J. Lafata, Xiang Li, Lauren M. Neldner, Jeffrey S. Nelson, Megan K. Russ, Ehsan Samei
Affiliation: Duke University, Department of Radiation Oncology, Duke University, Department of Pathology, Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System
Abstract Preview: Purpose: Medical physicists have traditionally supported radiation-based medicine, but their expertise can translate to other image-based fields including pathology. As pathology transitions to digita...
Authors: Diana Cardona, Casey C. Heirman, William Jeck, Kyle J. Lafata, Xiang Li, Lauren M. Neldner, Jeffrey S. Nelson, Megan K. Russ, Ehsan Samei
Affiliation: Duke University, Department of Radiation Oncology, Duke University, Department of Pathology, Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System
Abstract Preview: Purpose: Medical physicists traditionally support radiation-based medicine, but their expertise is translatable to image-based fields like pathology. As pathology transitions to digital practices, phy...
Authors: Diana Cardona, Casey C. Heirman, William Jeck, Kyle J. Lafata, Lauren M. Neldner, Jeffrey S. Nelson, Megan K. Russ, Ehsan Samei
Affiliation: Duke University, Department of Radiation Oncology, Duke University, Department of Pathology, Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System
Abstract Preview: Purpose: Display image accuracy is critical for digital diagnostic fields, such as radiology and digital pathology. While the AAPM TG-18 test patterns are established for grayscale radiology monitor Q...
Authors: Guilherme Rosa Ferreira, Dan Giardina, John Karageorgiou, Chris Malone, Allan Thomas
Affiliation: Washington University School of Medicine, Mallinckrodt Institute of Radiology, Washington University School of Medicine
Abstract Preview: Purpose: Radiation segmentectomy has become a primary strategy in 90Y radioembolization, with localized treated volumes that can include up to two liver segments. The goal is complete pathological nec...
Authors: Joke Binst, Hilde TC Bosmans, Niki Fitousi, Bram Miseur, Dimitar Petrov, Kwinten Torfs, Janne Vignero
Affiliation: Qaelum NV, Department of radiology, UZLeuven, Department of imaging and pathology, KULeuven
Abstract Preview: Purpose: Routine quality monitoring in CT abdomen is crucial for ensuring optimal image quality and patient safety, but the simultaneous evaluation of all aspects of importance is challenging. The pur...