Laura Cervino

发表

TU‐C‐213CD‐12: Respiratory Signal Extraction from Thoracic Cone Beam CT Projections

Hao Yan, Xun Jia, Xuanqin Mou, 2012 .

TH‐C‐303A‐09: 4D CT Sorting Based On Patient Internal Anatomy

Laura Cervino, Ruijiang Li, John E. Lewis, 2009 .

Quality Assurance Technologies

Robert A. Cormack, Laura Cervino, Antonio L. Damato, 2017 .

Reconstructing cone-beam CT with spatially varying qualities for adaptive radiotherapy: a proof-of-principle study

Hao Yan, Linghong Zhou, Steve B. Jiang, 2014, Physics in medicine and biology.

Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques

Steve B. Jiang, Nuno Vasconcelos, Xiaoli Tang, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Performance characterization of a volumetric breast ultrasound scanner

John M. Boone, Dolores H. Pretorius, Jakob Nebeker, 2007, SPIE Medical Imaging.

SU‐E‐J‐82: MRI‐Guided Lung Tumor Tracking

Laura Cervino, Jiang Du, Steve B Jiang, 2011 .

Towards the clinical implementation of iterative low-dose cone-beam CT reconstruction in image-guided radiation therapy: cone/ring artifact correction and multiple GPU implementation.

Hao Yan, Steve B. Jiang, Xun Jia, 2014, Medical physics.

A hybrid reconstruction algorithm for fast and accurate 4D cone-beam CT imaging.

Hao Yan, Steve B. Jiang, Xun Jia, 2014, Medical physics.

A GPU tool for efficient, accurate, and realistic simulation of cone beam CT projections.

Hao Yan, Xun Jia, Steve B Jiang, 2012, Medical physics.

SU‐FF‐J‐72: Markerless Fluoroscopic Tracking of Lung Tumors Based On 4D CT

Laura Cervino, Ruijiang Li, John E. Lewis, 2009 .

Nested-block self-attention for robust radiotherapy planning segmentation pdf

Joseph O. Deasy, Harini Veeraraghavan, Laura Cervino, 2021, ArXiv.

OC-0472 Automated and clinical-criteria-driven optimal planning: clinical experience with over 3400 patients

Joseph O. Deasy, Masoud Zarepisheh, Laura Cervino, 2021, Radiotherapy and Oncology.

Comprehensive evaluations of cone-beam CT dose in image-guided radiation therapy via GPU-based Monte Carlo simulations.

Xun Jia, Steve B Jiang, Laura Cervino, 2014, Physics in medicine and biology.

A segmentation and point-matching enhanced efficient deformable image registration method for dose accumulation between HDR CT images

Linghong Zhou, Steve B. Jiang, Xun Jia, 2015, Physics in medicine and biology.

SPARSE: Seed Point Auto‐Generation for Random Walks Segmentation Enhancement in medical inhomogeneous targets delineation of morphological MR and CT images

Linghong Zhou, Xuejun Gu, Haibin Chen, 2015, Journal of applied clinical medical physics.

SU-E-CAMPUS-T-02: Selecting Reference Patients for Automatic Treatment Planning Using Multiple Geometrical Features

Steve B. Jiang, Xun Jia, Nan Li, 2013 .

A comprehensive study on the relationship between the image quality and imaging dose in low-dose cone beam CT

Steve B. Jiang, Xun Jia, Steve B Jiang, 2011, Physics in medicine and biology.

On the extension of the complex-step derivative technique to pseudospectral algorithms

Thomas Bewley, Laura Cervino, T. Bewley, 2003 .