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2020 – today
- 2024
[j11]Yiqiao Liu
, Sarah Halek, Randolph Crawford, Keith Persson, Michal Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen:
3D Segmentation of Necrotic Lung Lesions in CT Images Using Self-Supervised Contrastive Learning. IEEE Access 12: 32859-32869 (2024)- [i7]Annie Liang, Thomas Jemielita, Andy Liaw, Vladimir Svetnik, Lingkang Huang, Richard Baumgartner, Jason M. Klusowski:
Challenges in Variable Importance Ranking Under Correlation. CoRR abs/2402.03447 (2024) - 2023
- [c11]Shaoyan Pan, Yiqiao Liu, Sarah Halek, Michal Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen:
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations. ISBI 2023: 1-5 - [i6]Shaoyan Pan, Yiqiao Liu, Sarah Halek, Michal Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen:
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations. CoRR abs/2309.01823 (2023) - 2022
- [c10]Boshu Ru, Stephanie Kujawski, Amar Das, Nelson Afanador, Richard Baumgartner, Manjiri Pawaskar:
Unsupervised Learning to Profile Measles Outbreak Risk for US Counties. AMIA 2022 - [c9]Arash A. Amini, Richard Baumgartner, Dai Feng:
Target alignment in truncated kernel ridge regression. NeurIPS 2022 - [i5]Arash A. Amini, Richard Baumgartner, Dai Feng:
Target alignment in truncated kernel ridge regression. CoRR abs/2206.14255 (2022) - 2021
- [i4]Dai Feng, Richard Baumgartner:
A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning. CoRR abs/2108.08752 (2021) - 2020
- [c8]Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher:
A Deep Learning-Facilitated Radiomics Solution for the Prediction of Lung Lesion Shrinkage in Non-Small Cell Lung Cancer Trials. ISBI 2020: 678-682 - [i3]Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher:
A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials. CoRR abs/2003.02943 (2020) - [i2]Dai Feng, Richard Baumgartner:
Random Forest (RF) Kernel for Regression, Classification and Survival. CoRR abs/2009.00089 (2020) - [i1]Dai Feng, Richard Baumgartner:
(Decision and regression) tree ensemble based kernels for regression and classification. CoRR abs/2012.10737 (2020)
2010 – 2019
- 2013
- [j10]Mark Fiecas, Hernando Ombao, Dan van Lunen, Richard Baumgartner, Alexandre Coimbra, Dai Feng:
Quantifying temporal correlations: A test-retest evaluation of functional connectivity in resting-state fMRI. NeuroImage 65: 231-241 (2013) - 2012
- [j9]Jaymin Upadhyay, Julie W. Anderson, Richard Baumgartner, Alexandre Coimbra, Adam J. Schwarz, Gautam V. Pendse, Diana Wallin, Lauren Nutile, James Bishop, Edward George, Igor Elman, Soujanya Sunkaraneni, Gary Maier, Smriti Iyengar, Jeffrey L. Evelhoch, David Bleakman, Richard Hargreaves, Lino Becerra, David Borsook:
Modulation of CNS pain circuitry by intravenous and sublingual doses of buprenorphine. NeuroImage 59(4): 3762-3773 (2012) - 2010
- [j8]Jaymin Upadhyay, Gautam V. Pendse, Julie W. Anderson, Adam J. Schwarz, Richard Baumgartner, Alexandre Coimbra, James Bishop, Jamie Knudsen, Edward George, Igor D. Grachev, Smriti Iyengar, David Bleakman, Richard Hargreaves, David Borsook, Lino Becerra:
Improved characterization of BOLD responses for evoked sensory stimuli. NeuroImage 49(3): 2275-2286 (2010) - [j7]Gautam V. Pendse, Richard Baumgartner, Adam J. Schwarz, Alexandre Coimbra, David Borsook, Lino Becerra:
A Statistical Framework for Optimal Design Matrix Generation With Application to fMRI. IEEE Trans. Medical Imaging 29(9): 1573-1611 (2010)
2000 – 2009
- 2008
- [j6]Idowu O. Oduntan, Michel Toulouse, Richard Baumgartner, Christopher Bowman, Ray L. Somorjai, Teodor Gabriel Crainic:
A multilevel tabu search algorithm for the feature selection problem in biomedical data. Comput. Math. Appl. 55(5): 1019-1033 (2008) - 2006
- [j5]Richard Baumgartner, Ray L. Somorjai:
Data complexity assessment in undersampled classification of high-dimensional biomedical data. Pattern Recognit. Lett. 27(12): 1383-1389 (2006) - 2005
- [j4]Erinija Pranckeviciene, Ray L. Somorjai, Richard Baumgartner, Moongu Jeon:
Identification of signatures in biomedical spectra using domain knowledge. Artif. Intell. Medicine 35(3): 215-226 (2005) - [c7]A. Bamgbade, Ray L. Somorjai, Brion Dolenko, Erinija Pranckeviciene, Aleksander E. Nikulin, Richard Baumgartner:
Evidence Accumulation to Identify Discriminatory Signatures in Biomedical Spectra. AIME 2005: 463-467 - [c6]Sarunas Raudys, Richard Baumgartner, Ray L. Somorjai:
On Understanding and Assessing Feature Selection Bias. AIME 2005: 468-472 - [c5]Erinija Pranckeviciene, Richard Baumgartner, Ray L. Somorjai:
Using Domain Knowledge for in the Random Subspace Method: Application: Application to the Classification of Biomedical Spectra. Multiple Classifier Systems 2005: 336-345 - 2004
- [j3]Ray L. Somorjai, Brion Dolenko, Aleksander B. Demko, Marina Mandelzweig, Aleksander E. Nikulin, Richard Baumgartner, Nicolino J. Pizzi:
Mapping high-dimensional data onto a relative distance plane - an exact method for visualizing and characterizing high-dimensional patterns. J. Biomed. Informatics 37(5): 366-379 (2004) - [c4]Erinija Pranckeviciene, Richard Baumgartner, Ray L. Somorjai:
Consensus-Based Identification of Spectral Signatures for Classification of High-Dimensional Biomedical Spectra. ICPR (2) 2004: 319-322 - [c3]Erinija Pranckeviciene, Richard Baumgartner, Ray L. Somorjai, Christopher Bowman:
Control of Sparseness for Feature Selection. SSPR/SPR 2004: 707-715 - [p1]Raymund L. Somorjai, Murray E. Alexander, Richard Baumgartner, Stephanie Booth, Christopher Bowman, Aleksander B. Demko, Brion Dolenko, Marina Mandelzweig, Aleksander E. Nikulin, Nicolino J. Pizzi, Erinija Pranckeviciene, Arthur R. Summers, Peter Zhilkin:
A Data-Driven, Flexible Machine Learning Strategy for the Classification of Biomedical Data. Artificial Intelligence Methods And Tools For Systems Biology 2004: 67-85 - 2003
- [j2]Ray L. Somorjai, B. Dolenko, Richard Baumgartner:
Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions. Bioinform. 19(12): 1484-1491 (2003) - [c2]Sarunas Raudys, Ray L. Somorjai, Richard Baumgartner:
Reducing the Overconfidence of Base Classifiers when Combining Their Decisions. Multiple Classifier Systems 2003: 65-73 - 2002
- [c1]Ray L. Somorjai, Arunas Janeliunas, Richard Baumgartner, Sarunas Raudys:
Comparison of Two Classification Methodologies on a Real-World Biomedical Problem. SSPR/SPR 2002: 433-441
1990 – 1999
- 1999
- [j1]Ewald Moser, Richard Baumgartner, Markus Barth, Christian Windischberger:
Explorative signal processing in functional MR imaging. Int. J. Imaging Syst. Technol. 10(2): 166-176 (1999)
Coauthor Index
aka: Raymund L. Somorjai
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