Joseph O. Deasy

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 36

Top Topics

Tumor Segmentation

Magnetic Resonance Images

Top Venues

IEEE Trans. Medical Imaging

Comput. Biol. Medicine

Publications

Jiening Zhu, Anh Phong Tran, Joseph O. Deasy, Allen R. Tannenbaum
Multi-omic integrated curvature study on pan-cancer genomic data. Math. Control. Signals Syst. 36 (1) (2024)
Jiening Zhu, Harini Veeraraghavan, Jue Jiang, Jung Hun Oh, Larry Norton, Joseph O. Deasy, Allen R. Tannenbaum
Wasserstein HOG: Local Directionality Extraction via Optimal Transport. IEEE Trans. Medical Imaging 43 (3) (2024)
Jiening Zhu, Jung Hun Oh, Anish K. Simhal, Rena Elkin, Larry Norton, Joseph O. Deasy, Allen R. Tannenbaum
Geometric graph neural networks on multi-omics data to predict cancer survival outcomes. Comput. Biol. Medicine 163 (2023)
Jung Hun Oh, Rena Elkin, Anish Kumar Simhal, Jiening Zhu, Joseph O. Deasy, Allen R. Tannenbaum
Optimal Transport for Kernel Gaussian Mixture Models. CoRR (2023)
Aditi Iyer, Aditya P. Apte, Ethan Bendau, Maria Thor, Ishita Chen, Jacob Shin, Abraham J. Wu, Daniel Gomez, Andreas Rimner, Ellen Yorke, Joseph O. Deasy, Andrew Jackson
ROE (Radiotherapy Outcomes Estimator): An open-source tool for optimizing radiotherapy prescriptions. Comput. Methods Programs Biomed. 242 (2023)
Maryam Pouryahya, Jung Hun Oh, Pedram Javanmard, James C. Mathews, Zehor Belkhatir, Joseph O. Deasy, Allen R. Tannenbaum
aWCluster: A Novel Integrative Network-Based Clustering of Multiomics for Subtype Analysis of Cancer Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
Masoud Zarepisheh, Linda Hong, Ying Zhou, Qijie Huang, Jie Yang, Gourav Jhanwar, Hai D. Pham, Pinar Dursun, Pengpeng Zhang, Margie Hunt, Gig S. Mageras, Jonathan T. Yang, Yoshiyasu Yamada, Joseph O. Deasy
Automated and Clinically Optimal Treatment Planning for Cancer Radiotherapy. INFORMS J. Appl. Anal. 52 (1) (2022)
Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation. IEEE Trans. Medical Imaging 41 (5) (2022)
Corey Weistuch, Jiening Zhu, Joseph O. Deasy, Allen R. Tannenbaum
The maximum entropy principle for compositional data. BMC Bioinform. 23 (1) (2022)
Harini Veeraraghavan, Jue Jiang, Elguindi Sharif, Sean L. Berry, Ifeanyirochukwu Onochie, Aditya P. Apte, Laura Cervino, Joseph O. Deasy
Nested-block self-attention for robust radiotherapy planning segmentation. CoRR (2021)
Jung Hun Oh, Wookjin Choi, Euiseong Ko, Mingon Kang, Allen R. Tannenbaum, Joseph O. Deasy
PathCNN: interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma. Bioinform. 37 (Supplement) (2021)
Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation. CoRR (2021)
Wookjin Choi, Saad Nadeem, Sadegh R. Alam, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu
Reproducible and Interpretable Spiculation Quantification for Lung Cancer Screening. Comput. Methods Programs Biomed. 200 (2021)
Jue Jiang, Sadegh Riyahi Alam, Ishita Chen, Perry Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation. CoRR (2021)
Zehor Belkhatir, Michele Pavon, James C. Mathews, Maryam Pouryahya, Joseph O. Deasy, Larry Norton, Allen R. Tannenbaum
Stochastic Norton-Simon-Massagué Tumor Growth Modeling: Controlled and Mixed-Effect Uncontrolled Analysis. IEEE Trans. Control. Syst. Technol. 29 (2) (2021)
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Andreas Rimner, Nancy Lee, Joseph O. Deasy, Sean Berry, Harini Veeraraghavan
PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation. CoRR (2020)
Jiening Zhu, Rena Elkin, Jung Hun Oh, Joseph O. Deasy, Allen R. Tannenbaum
A Vectorial Approach to Unbalanced Optimal Mass Transport. IEEE Access 8 (2020)
Hyemin Um, Jue Jiang, Maria Thor, Andreas Rimner, Leo Luo, Joseph O. Deasy, Harini Veeraraghavan
Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT. CoRR (2020)
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Andreas Rimner, Nancy Lee, Joseph O. Deasy, Sean Berry, Harini Veeraraghavan
PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation. IEEE Trans. Medical Imaging 39 (12) (2020)
Jung Hun Oh, Maryam Pouryahya, Aditi Iyer, Aditya P. Apte, Joseph O. Deasy, Allen R. Tannenbaum
A novel kernel Wasserstein distance on Gaussian measures: An application of identifying dental artifacts in head and neck computed tomography. Comput. Biol. Medicine 120 (2020)
Rabia Haq, Alexandra Hotca, Aditya P. Apte, Andreas Rimner, Joseph O. Deasy, Maria Thor
Cardio-Pulmonary Substructure Segmentation of CT Images Using Convolutional Neural Networks. AIRT@MICCAI (2019)
Zehor Belkhatir, Michele Pavon, James C. Mathews, Maryam Pouryahya, Joseph O. Deasy, Larry Norton, Allen R. Tannenbaum
Controlled and Uncontrolled Stochastic Norton-Simon-Massagué Tumor Growth Models. CDC (2019)
Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan
Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation. CoRR (2019)
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets. CoRR (2019)
Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan
Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation. MICCAI (6) (2019)
Jue Jiang, Yu-Chi Hu, Chia-Ju Liu, Darragh Halpenny, Matthew D. Hellmann, Joseph O. Deasy, Gig S. Mageras, Harini Veeraraghavan
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images. IEEE Trans. Medical Imaging 38 (1) (2019)
Jung Hun Oh, Maryam Pouryahya, Aditi Iyer, Aditya P. Apte, Allen R. Tannenbaum, Joseph O. Deasy
Kernel Wasserstein Distance. CoRR (2019)
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Gig S. Mageras, Joseph O. Deasy, Harini Veeraraghavan
Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation. MICCAI (2) (2018)
Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu
Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response. CoRR (2018)
Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu
Interpretable Spiculation Quantification for Lung Cancer Screening. CoRR (2018)
Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu
Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response. DATRA/PIPPI@MICCAI (2018)
Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu
Interpretable Spiculation Quantification for Lung Cancer Screening. ShapeMI@MICCAI (2018)
Sangkyu Lee, Sarah Kerns, Barry Rosenstein, Harry Ostrer, Joseph O. Deasy, Jung Hun Oh
Preconditioned Random Forest Regression: Application to Genome-Wide Study for Radiotherapy Toxicity Prediction. BCB (2017)
Jung Hun Oh, Joseph O. Deasy
A literature mining-based approach for identification of cellular pathways associated with chemoresistance in cancer. Briefings Bioinform. 17 (3) (2016)
Yongxin Chen, Jung Hun Oh, Romeil Sandhu, Sangkyu Lee, Joseph O. Deasy, Allen R. Tannenbaum
Transcriptional responses to ultraviolet and ionizing radiation: An approach based on graph curvature. BIBM (2016)
Duc Fehr, Charles Ross Schmidtlein, Sinchun Hwang, Joseph O. Deasy, Harini Veeraraghavan
Automatic detection and tracking of longitudinal changes of multiple bone metastases from dual energy CT. ISBI (2016)
Duc Fehr, Harini Veeraraghavan, Andreas Wibmer, Tatsuo Gondo, Kazuhiro Matsumoto, Herbert Alberto Vargas, Evis Sala, Hedvig Hricak, Joseph O. Deasy
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images. Proc. Natl. Acad. Sci. USA 112 (46) (2015)
Jung Hun Oh, Joseph O. Deasy
Inference of radio-responsive gene regulatory networks using the graphical lasso algorithm. BMC Bioinform. 15 (S-7) (2014)
Jung Hun Oh, Joseph O. Deasy
SITDEM: A simulation tool for disease/endpoint models of association studies based on single nucleotide polymorphism genotypes. Comput. Biol. Medicine 45 (2014)
Jeho Jeong, Joseph O. Deasy
Modeling the Relationship between Fluorodeoxyglucose Uptake and Tumor Radioresistance as a Function of the Tumor Microenvironment. Comput. Math. Methods Medicine 2014 (2014)
Harini Veeraraghavan, Duc Fehr, Charles Ross Schmidtlein, Sinchun Hwang, Joseph O. Deasy
Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection. MLMI (2014)
Todd W. Schiller, Yixin Chen, Issam El-Naqa, Joseph O. Deasy
Modeling radiation-induced lung injury risk with an ensemble of support vector machines. Neurocomputing 73 (10-12) (2010)
Jung Hun Oh, Jeffrey Craft, Rawan Al-Lozi, Manushka Vaidya, Yifan Meng, Joseph O. Deasy, Jeffrey D. Bradley, Issam El-Naqa
Predicting Local Failure in Lung Cancer Using Bayesian Networks. ICMLA (2010)
Todd W. Schiller, Yixin Chen, Issam El-Naqa, Joseph O. Deasy
Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk. ICMLA (2009)
Shiva K. Das, Shifeng Chen, Joseph O. Deasy, Sumin Zhou, Fang-Fang Yin, Lawrence B. Marks
Decision Fusion of Machine Learning Models to Predict Radiotherapy-Induced Lung Pneumonitis. ICMLA (2008)
Deshan Yang, Hua Li, Daniel A. Low, Joseph O. Deasy, Issam El Naqa
A fast inverse consistent deformable image registration method based on symmetric optical flow computation. ACSCC (2008)
Deshan Yang, Joseph O. Deasy, Daniel A. Low, Issam El-Naqa
Level set motion assisted non-rigid 3D image registration. Medical Imaging: Image Processing (2007)