Joseph O. Deasy

发表

SU‐GG‐T‐447: Import of Gamma Knife Model C Treatment Plans Into CERR

Robert E. Drzymala, K Karsch, J Alaly, 2008 .

Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk

Yixin Chen, Joseph O. Deasy, Todd W. Schiller, 2009, 2009 International Conference on Machine Learning and Applications.

SU‐FF‐I‐118: MicroRT Multi‐Modality Treatment Planning

Joseph O. Deasy, Parag J. Parikh, Erich L. Kiehl, 2007 .

SU‐FF‐T‐358: PlanCheck: A System for Routine Clinical Comparison of IMRT Treatment Plans with Monte Carlo Recalculations

J Alaly, Joseph O. Deasy, K. Zakaryan, 2006 .

A collaboratory for radiation therapy treatment planning optimization research

Joseph O. Deasy, Y. Zhang, Ronald L. Rardin, 2006, Ann. Oper. Res..

SITDEM: A simulation tool for disease/endpoint models of association studies based on single nucleotide polymorphism genotypes

Joseph O. Deasy, Jung Hun Oh, J. Deasy, 2014, Comput. Biol. Medicine.

A flexible Monte Carlo tool for patient or phantom specific calculations: Comparison with preliminary validation measurements

Joseph O. Deasy, J Cui, Geoffrey S. Ibbott, 2008 .

An open source DICOM-RT/MATLAB based computational platform for radiotherapy research

Joseph O. Deasy, Emiliano Spezi, 2003 .

Hierarchical Network Exploration using Gaussian Mixture Models

Joseph O. Deasy, Saad Nadeem, Zehor Belkhatir, 2019, bioRxiv.

Cardio-pulmonary substructure segmentation of radiotherapy computed tomography images using convolutional neural networks for clinical outcomes analysis

Joseph O. Deasy, Maria Thor, Aditya Apte, 2020, Physics and imaging in radiation oncology.

Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images

Joseph O. Deasy, Harini Veeraraghavan, Jue Jiang, 2019, IEEE Transactions on Medical Imaging.

Technical Note: DIRART – A software suite for deformable image registration and adaptive radiotherapy research

Joseph O. Deasy, Sasa Mutic, Daniel A. Low, 2010 .

WE‐D‐303A‐08: Nonlinear Kernels as a Visual Analytics Tool for Radiotherapy Treatment Outcomes

Joseph O. Deasy, I. El Naqa, J. D. Bradley, 2009 .

SU-FF-T-320: Simple Acoustic Beam Model for Thermoradiotherapy Implemented in An Open Source Treatment Planning Research System

Eduardo G. Moros, J Alaly, Joseph O. Deasy, 2005 .

SU‐GG‐T‐385: QuASA2R — a Digital Data Quality Assurance Submission, Archive, Analysis, and Review System for Advanced Technology Clinical Trials in Radiation Therapy

Joseph O. Deasy, James A. Purdy, Walter R. Bosch, 2008 .

Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets

Joseph O. Deasy, Harini Veeraraghavan, Pengpeng Zhang, 2019, Medical physics.

PO-0823: Hierarchical constrained optimization for automated SBRT paraspinal IMRT planning

Joseph O. Deasy, Margie Hunt, Masoud Zarepisheh, 2017 .

SU‐DD‐A4‐02: Assessment of PET Estimated Tumor Volume by Four‐Dimensional Computed Tomography Measurements

Joseph O. Deasy, I ElNaqa, A Nofal, 2008 .

SU-E-T-502: Initial Results of a Comparison of Treatment Plans Produced From Automated Prioritized Planning Method and a Commercial Treatment Planning System

Joseph O. Deasy, Yixin Chen, J Mechalakos, 2015 .

WE‐C‐351‐04: 4DCT Motion Estimation and Modeling

Joseph O. Deasy, Daniel A. Low, I. El Naqa, 2008 .

SU‐GG‐T‐393: Improvements to the Computational Environment for Radiotherapy Research Open‐Source Software System

J Alaly, Joseph O. Deasy, Walter R. Bosch, 2008 .

MO‐FF‐A3‐05: Tools and Methods for Consensus Generation From Experts' Contours for Radiotherapy Structure Definition

Joseph O. Deasy, Walter R. Bosch, Aditya Apte, 2009 .

Modeling radiotherapy treatment outcomes: Open-source data collection, database, and plan review tools

J Alaly, Joseph O. Deasy, James A. Purdy, 2004 .

SU‐FF‐T‐71: An Interactive Software Tool for Modifying Outcome Models and Predicting Patient Specific Outcomes in Treatment Planning

Joseph O. Deasy, Aditya Apte, I. El Naqa, 2007 .

SU‐FF‐J‐126: An Open‐Source Radiotherapy Image Registration Toolkit Integrated with CERR

Joseph O. Deasy, I. El Naqa, Y Wu, 2007 .

TH‐D‐M100F‐04: A Biomechanical Phantom for Validation of Deformable Multimodality Image Algorithms

Joseph O. Deasy, Parag J. Parikh, James P. Hubenschmidt, 2007 .

Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation

Joseph O. Deasy, Harini Veeraraghavan, Pengpeng Zhang, 2018, MICCAI.

A literature mining-based approach for identification of cellular pathways associated with chemoresistance in cancer

Joseph O. Deasy, Jung Hun Oh, J. Deasy, 2016, Briefings Bioinform..

SU‐FF‐J‐105: Tools for Voxel‐By‐Voxel Correlation of Radiotherapy Dose and MR Signals From Multiple Physiological/functional MRI Modalities

J Alaly, Joseph O. Deasy, R. Lund, 2005 .

Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response

Joseph O. Deasy, Wei Lu, Hualiang Zhong, 2018, DATRA/PIPPI@MICCAI.

microRT: a conformal small animal irradiator

Joseph O. Deasy, Sasa Mutic, Daniel A. Low, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

TU‐C‐AUD‐08: A Web‐Based and Database‐Centric Radiotherapy Treatment Plan Review and Reporting System

Joseph O. Deasy, D. Khullar, D Mullen, 2007 .

Surface Reconstruction From Non‐parallel Curve Networks

Lu Liu, Joseph O. Deasy, Tao Ju, 2008, Comput. Graph. Forum.

TH‐C‐230A‐08: A Prototype Rotational Immobilization System for a Proposed Static‐Gantry MicroRT Device with Tomographic Capabilities

Joseph O. Deasy, James P. Hubenschmidt, A. Hope, 2006 .

Modeling radiation-induced lung injury risk with an ensemble of support vector machines

Yixin Chen, Joseph O. Deasy, Todd W. Schiller, 2010, Neurocomputing.

Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images

Joseph O. Deasy, Evis Sala, Herbert Alberto Vargas, 2015, Proceedings of the National Academy of Sciences.

Decision Fusion of Machine Learning Models to Predict Radiotherapy-Induced Lung Pneumonitis

Joseph O. Deasy, Fang-Fang Yin, Shifeng Chen, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

SU‐FF‐T‐84: DIRART ‐ a Software Suite for Deformable Image Registration and Adaptive Radiotherapy Research

Joseph O. Deasy, Sasa Mutic, Aditya Apte, 2009 .

TU‐FF‐A1‐04: Benchmarking a Flexible Monte Carlo (MC) Tool Based On the Dose Planning Method (DPM) for Use in Evaluating IMRT Treatment Planning Systems

Joseph O. Deasy, Geoffrey S. Ibbott, David S Followill, 2007 .

SU‐GG‐J‐192: Use of Optimized Oblique Anatomical Planes for Efficient and Accurate Organ and Tumor Segmentation

Joseph O. Deasy, Tao Ju, Parag J. Parikh, 2008 .

Transcriptional responses to ultraviolet and ionizing radiation: An approach based on graph curvature

Joseph O. Deasy, Yongxin Chen, Jung Hun Oh, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

MO‐D‐M100J‐05: Robust Optimization to Accommodate Effects of Systematic Treatment Uncertainties

Joseph O. Deasy, Eva K. Lee, Thomas Bortfeld, 2007 .

TH-D-BRD-01: New Developments in The Computational Environment for Radiotherapy Research (CERR) Software System

Joseph O. Deasy, Aditya Apte, Y Wu, 2009 .

SU-E-J-87: Improvements to the Computational Environment for Radiotherapy Research

Joseph O. Deasy, Aditya Apte, Ya Wang, 2013 .

Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities

Joseph O. Deasy, Issam El-Naqa, Jeffrey D. Bradley, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

MO-D-T-6E-02: Dose-Response Explorer: An Open-Source-Code Matlab-Based Tool for Modeling Treatment Outcome as a Function of Predictive Factors

J Alaly, Joseph O. Deasy, A. Hope, 2005 .

Characterizing Cancer Drug Response and Biological Correlates: A Geometric Network Approach

Joseph O. Deasy, Jung Hun Oh, James C. Mathews, 2018, Scientific Reports.

MO‐A‐204B‐02: Efficient Outcomes‐Driven IMRT Treatment Planning Using Commercial Treatment Planning Systems

Joseph O. Deasy, Markus Alber, X. A. Li, 2010 .

Network-based clustering for drug sensitivity prediction in cancer cell lines

Joseph O. Deasy, Jung Hun Oh, Allen Tannenbaum, 2019, bioRxiv.

Characterizing Cancer Drug Response and Biological Correlates: A Geometric Network Approach

Joseph O. Deasy, Jung Hun Oh, Allen Tannenbaum, 2017 .

Level set motion assisted non-rigid 3D image registration

Joseph O. Deasy, Issam El-Naqa, Daniel A. Low, 2007, SPIE Medical Imaging.

TU-B-T-6E-01: Advanced Topics in IMRT Treatment Planning

Joseph O. Deasy, 2005 .

WE‐E‐AUD A‐06: Image and Dose Processing for Image Guided Adaptive Radiation Therapy and Outcome Research

Joseph O. Deasy, Deshan Yang, I. El Naqa, 2008 .

Inference of radio-responsive gene regulatory networks using the graphical lasso algorithm

Joseph O. Deasy, Jung Hun Oh, J. Deasy, 2014, BMC Bioinformatics.

Kernel Wasserstein Distance pdf

Joseph O. Deasy, Jung Hun Oh, Allen Tannenbaum, 2019, ArXiv.

SU‐FF‐T‐482: Extension of An Informatics Architecture to Compare and Analyze 3D Dosimetric Data

Joseph O. Deasy, Aditya Apte, D. Khullar, 2009 .

Preconditioned Random Forest Regression: Application to Genome-Wide Study for Radiotherapy Toxicity Prediction

Joseph O. Deasy, Jung Hun Oh, Barry Rosenstein, 2017, BCB.

Is Monte Carlo noise removal feasible

Joseph O. Deasy, 2000 .

SU‐FF‐T‐75: An Open‐Source Software Tool to Support Film‐Based IMRT Quality Assurance

Joseph O. Deasy, Tao Ju, Walter R. Bosch, 2007 .

Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection

Joseph O. Deasy, Harini Veeraraghavan, Duc Fehr, 2014, MLMI.

Controlled and Uncontrolled Stochastic Norton-Simon-Massagué Tumor Growth Models

Joseph O. Deasy, Michele Pavon, Allen R. Tannenbaum, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Automatic detection and tracking of longitudinal changes of multiple bone metastases from dual energy CT

Joseph O. Deasy, Harini Veeraraghavan, Duc Fehr, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Automated 4D lung computed tomography reconstruction during free breathing for conformal radiation therapy

Joseph O. Deasy, Gary E. Christensen, Parag J. Parikh, 2004, SPIE Medical Imaging.

SU‐DD‐A4‐03: A Validation Study of Concurrent Multimodality Segmentation

Joseph O. Deasy, Sasa Mutic, I. El Naqa, 2007 .

Interpretable Spiculation Quantification for Lung Cancer Screening

Joseph O. Deasy, Wei Lu, Allen R. Tannenbaum, 2018, ShapeMI@MICCAI.

Modeling the Relationship between Fluorodeoxyglucose Uptake and Tumor Radioresistance as a Function of the Tumor Microenvironment

Joseph O. Deasy, Jeho Jeong, J. Deasy, 2014, Comput. Math. Methods Medicine.

SU‐FF‐T‐409: The Computational Environment for Radiotherapy Research: New Tools for Multi‐Modality Imaging, Treatment Plan Comparisons, and Plan Evaluations

J Alaly, Joseph O. Deasy, Aditya Apte, 2006 .

IMRT QA using machine learning: A multi‐institutional validation

Timothy D. Solberg, Joseph O. Deasy, Gilmer Valdes, 2017, Journal of applied clinical medical physics.

SU‐FF‐T‐375: Machine Learning Methods for Radiobiological Outcomes Modeling

Joseph O. Deasy, I. El Naqa, J. D. Bradley, 2005 .

SU‐EE‐A3‐01: Beyond SUV: New Methods for Assessing Treatment Response in PET Images

Joseph O. Deasy, I. El Naqa, Deshan Yang, 2007 .

NCI/NSF Workshop on Operations Research Applied to Radiation Therapy Washington, DC, February 7–9, 2002

Joseph O. Deasy, Ronald L. Rardin, Eva K. Lee, 2003, Annals of Operations Research.

A platform for continuous learning in oncology

Joseph O. Deasy, Peter D. Stetson, J. Deasy, 2021, Nature Cancer.

Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation pdf

Joseph O. Deasy, Harini Veeraraghavan, Jue Jiang, 2021, ArXiv.

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

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

Reproducibility of radiomic features using network analysis and its application in Wasserstein k-means clustering

Joseph O. Deasy, Harini Veeraraghavan, Jung Hun Oh, 2021, Journal of medical imaging.

Periodicity Scoring of Time Series Encodes Dynamical Behavior of the Tumor Suppressor p53

Joseph O. Deasy, Ioannis G. Kevrekidis, Mahdi Kooshkbaghi, 2021, IFAC-PapersOnLine.

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.

Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation

Joseph O. Deasy, Harini Veeraraghavan, Ishita Chen, 2021, Medical physics.

A Bioinformatics Filtering Strategy for Identifying Radiation Response Biomarker Candidates

Joseph O. Deasy, Jung Hun Oh, Xiaowei Wang, 2012, PloS one.

Big Data Approaches to Improve Stereotactic Body Radiation Therapy (SBRT) Outcomes: Big Data for SBRT

Eduardo G. Moros, Joseph O. Deasy, Nitin Ohri, 2018 .

Succesful Implementation of Atlas Segmentation for Cardiac Substructures

Joseph O. Deasy, Andrew Jackson, Maria Thor, 2017 .

Radiation DoseVolume Effects in the Lung

Joseph O. Deasy, Andrew Jackson, Lawrence B. Marks, 2010 .

WE‐E‐AUD C‐07: A Robust Approach for Estimating Tumor Volume Change During Radiotherapy of Lung Cancer

Joseph O. Deasy, Deshan Yang, Aditya Apte, 2008 .

Validating a Predictive Atlas of Tumor Shrinkage for Adaptive Radiotherapy of Locally Advanced Lung Cancer.

Joseph O. Deasy, Jan-Jakob Sonke, Ellen Yorke, 2018, International journal of radiation oncology, biology, physics.

OC-0489: Variation in bladder volume and associated spatial dose metrics in prostate and pelvic radiotherapy

Joseph O. Deasy, Austin Hopper, Ludvig Paul Muren, 2017 .

Breast cancer subtype intertumor heterogeneity: MRI‐based features predict results of a genomic assay

Joseph O. Deasy, Harini Veeraraghavan, Jung Hun Oh, 2015, Journal of magnetic resonance imaging : JMRI.

Common Terminology Criteria for Adverse Events (CTCAE) v4.0 Based Hybrid Patient and Physician Questionnaire for Head and Neck (HN) Radiotherapy Symptom Reporting

Joseph O. Deasy, Wade L. Thorstad, Todd DeWees, 2011 .

PV-0198: Clinical experience of automated SBRT paraspinal planning with constrained hierarchical optimization

Joseph O. Deasy, Linda Hong, Masoud Zarepisheh, 2018 .

Image-based Data Mining to Probe Dosimetric Correlates of Radiation-induced Trismus.

Joseph O. Deasy, Marcel van Herk, Caroline Olsson, 2018, International journal of radiation oncology, biology, physics.

Modeling the Impact of Cardiopulmonary Irradiation on Overall Survival in NRG Oncology Trial RTOG 0617

Joseph O. Deasy, Puneeth Iyengar, Jung Hun Oh, 2020, Clinical Cancer Research.

Clinical, Dosimetric, and Location-Related Factors to Predict Local Control in Non-Small Cell Lung Cancer

Joseph O. Deasy, J. D. Bradley, Andrew Hope, 2005 .

Identifying Biological Subtypes of Head and Neck Squamous Cell Carcinoma (HNSCC) From Contrast Enhanced CT Scans Using Radiomic and the Cancer Genome Atlas (TCGA)

Joseph O. Deasy, Aditya Apte, Nadeem Riaz, 2018, International Journal of Radiation Oncology*Biology*Physics.

Irradiated esophageal surface area predicts for esophagitis in patients treated for non-small cell carcinoma of the lung

Joseph O. Deasy, James A. Purdy, Walter R. Bosch, 2002 .

Plastimatch 1 . 6 – Current Capabilities and Future Directions

Joseph O. Deasy, Polina Golland, Paolo Zaffino, 2012 .

Computational methods using genome-wide association studies to predict radiotherapy complications and to identify correlative molecular processes

Joseph O. Deasy, Jung Hun Oh, Barry Rosenstein, 2017, Scientific Reports.

Control and the Analysis of Cancer Growth Models

Joseph O. Deasy, Tryphon T. Georgiou, Allen Tannenbaum, 2018, bioRxiv.

Pattern Recognition Analysis of FDG-PET Uptake Characteristics for Assessing Response in NSCLC Post-radiotherapy Treatment

Joseph O. Deasy, J. D. Bradley, Aditya Apte, 2008 .

Feasibility of In Situ, High-Resolution Correlation of Tracer Uptake with Histopathology by Quantitative Autoradiography of Biopsy Specimens Obtained Under 18F-FDG PET/CT Guidance

Joseph O. Deasy, John L. Humm, Stephen B. Solomon, 2015, The Journal of Nuclear Medicine.

Intravoxel incoherent motion diffusion‐weighted MRI during chemoradiation therapy to characterize and monitor treatment response in human papillomavirus head and neck squamous cell carcinoma

Joseph O. Deasy, Jung Hun Oh, Nadeem Riaz, 2016, Journal of magnetic resonance imaging : JMRI.

Complication Probability Models for Radiation-Induced Heart Valvular Dysfunction: Do Heart-Lung Interactions Play a Role?

Joseph O. Deasy, Jung Hun Oh, Marco Salvatore, 2014, PloS one.

Treatment plan review tools incorporating spatial dose-volume information

Joseph O. Deasy, Walter R. Bosch, Daniel A. Low, 2001 .

A Validated Prediction Model for Overall Survival From Stage III Non-Small Cell Lung Cancer: Toward Survival Prediction for Individual Patients

Joseph O. Deasy, Jose Belderbos, Philippe Lambin, 2015, International journal of radiation oncology, biology, physics.

Development of a Three Dimensional Anatomical Library

Joseph O. Deasy, Tao Ju, Christopher Abraham, 2008 .

aWCluster: A Novel integrative Network-based Clustering of Multiomics Breast Cancer Data

Joseph O. Deasy, Jung Hun Oh, Zehor Belkhatir, 2019 .

Sparing the region of the salivary gland containing stem cells preserves saliva production after radiotherapy for head and neck cancer

Joseph O. Deasy, Johannes A. Langendijk, Arjen van der Schaaf, 2015, Science Translational Medicine.

Recovery kinetics of salivary function in patients with head and neck cancers receiving radiation therapy

Joseph O. Deasy, Daniel A. Low, Angel I. Blanco, 2002 .

Computed Tomography Measures of Inter-site tumor Heterogeneity for Classifying Outcomes in High-Grade Serous Ovarian Carcinoma: a Retrospective Study

Joseph O. Deasy, Harini Veeraraghavan, Eralda Mema, 2019, bioRxiv.

Radiation dose-volume effects in the esophagus.

Joseph O. Deasy, Maria Werner-Wasik, Lawrence B. Marks, 2010, International journal of radiation oncology, biology, physics.

TU‐D‐224C‐05: Validation of a Linear Accelerator Source Model and Commissioning Process for Routine Clinical Monte Carlo Calculations

J Alaly, Joseph O. Deasy, K. Zakaryan, 2006 .

Computational Modeling of Interstitial Fluid Pressure and Velocity in Head and Neck Cancer Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging: Feasibility Analysis

Joseph O. Deasy, Jung Hun Oh, James R. Ewing, 2020, Tomography.

Visual Analysis of the Daily QA Results of Photon and Electron Beams of a Trilogy Linac over a Five-year Period

Joseph O. Deasy, Xiang Li, Qiongge Li, 2015, International journal of medical physics, clinical engineering and radiation oncology.

Dose-rate effects in intensity modulated radiation therapy

Joseph O. Deasy, Daniel A. Low, Jack F. Fowler, 2001 .

Are unsatisfactory outcomes after concurrent chemoradiotherapy for locally advanced non-small cell lung cancer due to treatment-related immunosuppression?

Joseph O. Deasy, Andrew Jackson, Maria Thor, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.