Martin J. Murphy

发表

TH‐D‐213A‐05: A Method to Estimate 4DCT Deformable Registration Errors Via Principal Components Analysis

Constantin Vaman, David Staub, Jeffrey F. Williamson, 2009 .

SU-GG-T-388: Design and Implementation of a Computing Framework for An Image Guided Adaptive Radiotherapy Research Program

Jeffrey F. Williamson, Martin J. Murphy, W. Sleeman, 2008 .

Brachytherapy seed localization via iterative forward projection matching (IFPM) algorithm using intraoperative cone-beam-CT sinogram projections

Yuichi Motai, Jeffrey F. Williamson, Martin J. Murphy, 2009 .

Reconstruction of 4D deformed CT for moving anatomy

Martin J. Murphy, Alen Docef, 2008, International Journal of Computer Assisted Radiology and Surgery.

SU‐FF‐J‐25: Long Term Prediction of Respiratory Motion with Artificial Neural Network Based Adaptive Filtering Techniques

Paul J. Keall, Martin J. Murphy, Alen Docef, 2005 .

Artificial Neural Networks to Emulate and Compensate Breathing Motion During Radiation Therapy

Martin J. Murphy, 2015 .

SUPIR: Surface Uncertainty-Penalized, Non-rigid Image Registration for Pelvic CT Imaging

Cheng Zhang, Er-Wei Bai, Gary E. Christensen, 2012, WBIR.

Machine learning in radiation oncology : theory and applications

Ruijiang Li, Martin J. Murphy, Issam El Naqa, 2015 .

Comparisons of multiple automated anatomy‐based image‐guidance methods for patient setup before head/neck external beam radiotherapy

Martin J. Murphy, Nesrin Dogan, Shiyu Song, 2010, Journal of applied clinical medical physics.

SU-FF-J-70: Geometric Accuracy of a Real Time Target Tracking System with Dynamic MLC

Radhe Mohan, Martin J. Murphy, Krishni Wijesooriya, 2006 .

TH‐C‐BRC‐05: 4DCBCT Reconstruction Using a PCA Based DVF Motion Model

David Staub, Martin J. Murphy, Alen Docef, 2011 .

Machine Learning in Radiation Oncology

Martin J. Murphy, Ruijiang Li, Issam El Naqa, 2015 .

Future Developments I: Online Dosimetric Verification with Fiducial Dosimeter Planning and Verification

Martin J. Murphy, Charles W. Scarantino, Joanna Cygler, 2008 .

SU-GG-I-116: A Neural Network Based Registration Quality Evaluator for 2D-3D Image Registrations

Sanjiv S. Samant, Martin J. Murphy, J. Wu, 2010 .

IMAGE-GUIDED MOTION ADAPTATION IN RADIOTHERAPY

Martin J. Murphy, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Performance Comparison of Volterra Predictor and Neural Network for Breathing Prediction

Kayvan Najarian, Pavani Davuluri, Rosalyn S. Hobson, 2010, 2010 International Conference on Biosciences.

TU‐D‐204C‐01: Some Uses of Neural Networks in Radiation Therapy

Martin J. Murphy, J. Wu, 2010 .

Adaptive filtering to predict lung tumor motion during free breathing

Joakim Jalden, Martin J. Murphy, Marcus Isaakson, 2002 .

Using Neural Networks to Predict Breathing Motion

Martin J. Murphy, M. Murphy, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Intensity-based registration algorithm for probabilistic images and its application for 2D to 3D image registration

Torsten Rohlfing, Calvin R. Maurer, Daniel B. Russakoff, 2002, SPIE Medical Imaging.

Non-rigid Image Registration with Equally Weighted Assimilated Surface Constraint

Cheng Zhang, Gary E. Christensen, Martin J. Murphy, 2014, WBIR.

The Role of In-Room kV X-Ray Imaging for Patient Setup and Target Localization

Timothy D. Solberg, Steve B. Jiang, Steve B Jiang, 2009 .

Deformed CT reconstruction from limited projection data

Paul J. Keall, Martin J. Murphy, Alen Docef, 2005 .

Treatment Planning for Stereotactic Radiosurgery

Martin J. Murphy, David M. Shepard, Cedric X. Yu, 2015 .

Kilovoltage Radiography for Robotic Linac IGRT

Martin J. Murphy, 2012 .

Reconstruction of a cone-beam CT image via forward iterative projection matching

Martin J. Murphy, Alen Docef, R. Scott Brock, 2010 .