default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJoseph O. Deasy
Joseph Deasy
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j25]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): 101-120 (2024)- [j24]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): 916-927 (2024) - [i13]Jue Jiang, Chloe Min Seo Choi, Maria Thor, Joseph O. Deasy, Harini Veeraraghavan:
Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer. CoRR abs/2409.11910 (2024) - 2023
- [j23]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: 107117 (2023) - [j22]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: 107833 (2023) - [i12]Jung Hun Oh, Rena Elkin, Anish Kumar Simhal, Jiening Zhu, Joseph O. Deasy, Allen R. Tannenbaum:
Optimal Transport for Kernel Gaussian Mixture Models. CoRR abs/2310.18586 (2023) - 2022
- [j21]Corey Weistuch, Jiening Zhu, Joseph O. Deasy, Allen R. Tannenbaum:
The maximum entropy principle for compositional data. BMC Bioinform. 23(1): 449 (2022) - [j20]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): 69-89 (2022) - [j19]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): 1472-1483 (2022) - [j18]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): 1057-1068 (2022) - 2021
- [j17]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): 443-450 (2021) - [j16]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: 105839 (2021) - [j15]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): 704-717 (2021) - [i11]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 abs/2102.08556 (2021) - [i10]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 abs/2102.13541 (2021) - [i9]Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan:
Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation. CoRR abs/2107.07985 (2021) - 2020
- [j14]Jiening Zhu, Rena Elkin, Jung Hun Oh, Joseph O. Deasy, Allen R. Tannenbaum:
A Vectorial Approach to Unbalanced Optimal Mass Transport. IEEE Access 8: 209224-209231 (2020) - [j13]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: 103731 (2020) - [j12]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): 4071-4084 (2020) - [i8]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 abs/2005.13690 (2020) - [i7]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 abs/2007.09465 (2020)
2010 – 2019
- 2019
- [j11]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): 134-144 (2019) - [c20]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: 7530-7535 - [c19]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: 162-169 - [c18]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: 221-229 - [i6]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 abs/1901.11369 (2019) - [i5]Peter Klages, Ilyes Benslimane, Sadegh Riyahi, Jue Jiang, Margie Hunt, Joseph O. Deasy, Harini Veeraraghavan, Neelam Tyagi:
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 abs/1902.00536 (2019) - [i4]Jung Hun Oh, Maryam Pouryahya, Aditi Iyer, Aditya P. Apte, Allen R. Tannenbaum, Joseph O. Deasy:
Kernel Wasserstein Distance. CoRR abs/1905.09314 (2019) - [i3]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 abs/1909.04542 (2019) - 2018
- [c17]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: 31-41 - [c16]Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu:
Interpretable Spiculation Quantification for Lung Cancer Screening. ShapeMI@MICCAI 2018: 38-48 - [c15]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: 777-785 - [i2]Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu:
Interpretable Spiculation Quantification for Lung Cancer Screening. CoRR abs/1808.08307 (2018) - [i1]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 abs/1808.08312 (2018) - 2017
- [c14]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: 593 - 2016
- [j10]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): 468-478 (2016) - [c13]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: 1302-1306 - [c12]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: 168-171 - 2015
- [j9]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): E6265-E6273 (2015) - 2014
- [j8]Jung Hun Oh, Joseph O. Deasy:
Inference of radio-responsive gene regulatory networks using the graphical lasso algorithm. BMC Bioinform. 15(S-7): S5 (2014) - [j7]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: 136-142 (2014) - [j6]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: 847162:1-847162:7 (2014) - [c11]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: 149-156 - 2010
- [j5]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): 1861-1867 (2010) - [c10]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: 735-739
2000 – 2009
- 2009
- [j4]Issam El-Naqa, Perry Grigsby, Aditya P. Apte, Elizabeth Kidd, Eric Donnelly, Divya Khullar, Summer Chaudhari, Deshan Yang, Martin Schmitt, Richard Laforest, Wade L. Thorstad, Joseph Deasy:
Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. Pattern Recognit. 42(6): 1162-1171 (2009) - [c9]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: 498-503 - 2008
- [j3]Lu Liu, Chandrajit Bajaj, Joseph Deasy, Daniel A. Low, Tao Ju:
Surface Reconstruction From Non-parallel Curve Networks. Comput. Graph. Forum 27(2): 155-163 (2008) - [c8]Phaneendra K. Yalavarthy, Daniel A. Low, Camille Noel, Zhouping Wei, Deshan Yang, Aditya P. Apte, Jeffrey D. Bradley, Joseph Deasy, Issam El-Naqa:
Current role of PET in oncology: Potentials and challenges in the management of non-small cell lung cancer. ACSCC 2008: 1067-1071 - [c7]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: 1931-1935 - [c6]Issam El-Naqa, Jeffrey D. Bradley, Joseph Deasy:
Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities. ICMLA 2008: 539-544 - [c5]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: 545-550 - 2007
- [c4]Issam El-Naqa, Deshan Yang, Joseph Deasy:
Automated Estimation of the Biophysical Target for Radiotherapy Treatment Planning using Multimodality Image Analysis. ICIP (5) 2007: 533-536 - [c3]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: 651207 - 2006
- [j2]Joseph Deasy, Eva K. Lee, T. Bortfeld, Mark P. Langer, K. Zakarian, J. Alaly, Y. Zhang, H. Liu, R. Mohan, R. Ahuja, A. Pollack, J. Purdy, Ronald L. Rardin:
A collaboratory for radiation therapy treatment planning optimization research. Ann. Oper. Res. 148(1): 55-63 (2006) - [c2]Issam El-Naqa, Daniel A. Low, Jeffrey D. Bradley, Milos Vicic, Joseph Deasy:
Compensation of breathing motion artifacts in thoracic PET images by wavelet-based deconvolution. ISBI 2006: 980-983 - 2004
- [c1]Daniel A. Low, Sasa Mutic, Perry Grigsby, Milos Vicic, Joseph Deasy, Andrew Hope:
microRT: A Conformal Small Animal Irradiator. ISBI 2004: 1365-1368 - 2003
- [j1]Eva K. Lee, Joseph Deasy, Mark P. Langer, Ronald L. Rardin, Jim A. Deye, Frank J. Mahoney:
NCI/NSF Workshop on Operations Research Applied to Radiation Therapy Washington, DC, February 7-9, 2002. Ann. Oper. Res. 119(1-4): 143-146 (2003)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-22 21:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
