Joseph O. Deasy
Orcid: 0000-0002-9437-266X
According to our database1,
Joseph O. Deasy
authored at least 53 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Medical Imaging, March, 2024
Math. Control. Signals Syst., March, 2024
2023
ROE (Radiotherapy Outcomes Estimator): An open-source tool for optimizing radiotherapy prescriptions.
Comput. Methods Programs Biomed., December, 2023
Geometric graph neural networks on multi-omics data to predict cancer survival outcomes.
Comput. Biol. Medicine, September, 2023
2022
IEEE Trans. Medical Imaging, 2022
aWCluster: A Novel Integrative Network-Based Clustering of Multiomics for Subtype Analysis of Cancer Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
INFORMS J. Appl. Anal., 2022
2021
Stochastic Norton-Simon-Massagué Tumor Growth Modeling: Controlled and Mixed-Effect Uncontrolled Analysis.
IEEE Trans. Control. Syst. Technol., 2021
Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation.
CoRR, 2021
CoRR, 2021
Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation.
CoRR, 2021
Comput. Methods Programs Biomed., 2021
PathCNN: interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma.
Bioinform., 2021
2020
PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation.
IEEE Trans. Medical Imaging, 2020
Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT.
CoRR, 2020
A novel kernel Wasserstein distance on Gaussian measures: An application of identifying dental artifacts in head and neck computed tomography.
Comput. Biol. Medicine, 2020
2019
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images.
IEEE Trans. Medical Imaging, 2019
Comparison of Patch-Based Conditional Generative Adversarial Neural Net Models with Emphasis on Model Robustness for Use in Head and Neck Cases for MR-Only planning.
CoRR, 2019
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets.
CoRR, 2019
Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Cardio-Pulmonary Substructure Segmentation of CT Images Using Convolutional Neural Networks.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018
Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Shape in Medical Imaging, 2018
2017
Preconditioned Random Forest Regression: Application to Genome-Wide Study for Radiotherapy Toxicity Prediction.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
A literature mining-based approach for identification of cellular pathways associated with chemoresistance in cancer.
Briefings Bioinform., 2016
Automatic detection and tracking of longitudinal changes of multiple bone metastases from dual energy CT.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Transcriptional responses to ultraviolet and ionizing radiation: An approach based on graph curvature.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images.
Proc. Natl. Acad. Sci. USA, 2015
2014
Modeling the Relationship between Fluorodeoxyglucose Uptake and Tumor Radioresistance as a Function of the Tumor Microenvironment.
Comput. Math. Methods Medicine, 2014
SITDEM: A simulation tool for disease/endpoint models of association studies based on single nucleotide polymorphism genotypes.
Comput. Biol. Medicine, 2014
Inference of radio-responsive gene regulatory networks using the graphical lasso algorithm.
BMC Bioinform., 2014
Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
2010
Modeling radiation-induced lung injury risk with an ensemble of support vector machines.
Neurocomputing, 2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
2009
Exploring feature-based approaches in PET images for predicting cancer treatment outcomes.
Pattern Recognit., 2009
Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk.
Proceedings of the International Conference on Machine Learning and Applications, 2009
2008
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
Decision Fusion of Machine Learning Models to Predict Radiotherapy-Induced Lung Pneumonitis.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
A fast inverse consistent deformable image registration method based on symmetric optical flow computation.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008
Current role of PET in oncology: Potentials and challenges in the management of non-small cell lung cancer.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008
2007
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Automated Estimation of the Biophysical Target for Radiotherapy Treatment Planning using Multimodality Image Analysis.
Proceedings of the International Conference on Image Processing, 2007
2006
Ann. Oper. Res., 2006
Compensation of breathing motion artifacts in thoracic PET images by wavelet-based deconvolution.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
2003
NCI/NSF Workshop on Operations Research Applied to Radiation Therapy Washington, DC, February 7-9, 2002.
Ann. Oper. Res., 2003