Explorative signal processing in functional MR imaging. - Ewald Moser; Richard Baumgartner; Markus Barth; Christian Windischberger (Int. J. Imaging Syst. Technol., 1999)

Comparison of Two Classification Methodologies on a Real-World Biomedical Problem. - Ray L. Somorjai; Arunas Janeliunas; Richard Baumgartner; Sarunas Raudys (SSPR/SPR, 2002)

Reducing the Overconfidence of Base Classifiers when Combining Their Decisions. - Sarunas Raudys; Ray L. Somorjai; Richard Baumgartner (Multiple Classifier Systems, 2003)

Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions. - Ray L. Somorjai; B. Dolenko; Richard Baumgartner (Bioinform., 2003)

Consensus-Based Identification of Spectral Signatures for Classification of High-Dimensional Biomedical Spectra. - Erinija Pranckeviciene; Richard Baumgartner; Ray L. Somorjai (ICPR (2), 2004)

Control of Sparseness for Feature Selection. - Erinija Pranckeviciene; Richard Baumgartner; Ray L. Somorjai; Christopher Bowman (SSPR/SPR, 2004)

Mapping high-dimensional data onto a relative distance plane - an exact method for visualizing and characterizing high-dimensional patterns. - Ray L. Somorjai; Brion Dolenko; Aleksander B. Demko; Marina Mandelzweig; Aleksander E. Nikulin; Richard Baumgartner; Nicolino J. Pizzi (J. Biomed. Informatics, 2004)

A Data-Driven, Flexible Machine Learning Strategy for the Classification of Biomedical Data. - 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; et al. (Artificial Intelligence Methods And Tools For Systems Biology, 2004)

Evidence Accumulation to Identify Discriminatory Signatures in Biomedical Spectra. - A. Bamgbade; Ray L. Somorjai; Brion Dolenko; Erinija Pranckeviciene; Aleksander E. Nikulin; Richard Baumgartner (AIME, 2005)

On Understanding and Assessing Feature Selection Bias. - Sarunas Raudys; Richard Baumgartner; Ray L. Somorjai (AIME, 2005)

Using Domain Knowledge for in the Random Subspace Method: Application: Application to the Classification of Biomedical Spectra. - Erinija Pranckeviciene; Richard Baumgartner; Ray L. Somorjai (Multiple Classifier Systems, 2005)

Identification of signatures in biomedical spectra using domain knowledge. - Erinija Pranckeviciene; Ray L. Somorjai; Richard Baumgartner; Moongu Jeon (Artif. Intell. Medicine, 2005)

Data complexity assessment in undersampled classification of high-dimensional biomedical data. - Richard Baumgartner; Ray L. Somorjai (Pattern Recognit. Lett., 2006)

A multilevel tabu search algorithm for the feature selection problem in biomedical data. - Idowu O. Oduntan; Michel Toulouse; Richard Baumgartner; Christopher Bowman; Ray L. Somorjai; Teodor Gabriel Crainic (Comput. Math. Appl., 2008)

Improved characterization of BOLD responses for evoked sensory stimuli. - Jaymin Upadhyay; Gautam V. Pendse; Julie W. Anderson; Adam J. Schwarz; Richard Baumgartner; Alexandre Coimbra; James H. Bishop; Jamie Knudsen; Edward George; Igor D. Grachev; Smriti Iyengar; David Bleakman; et al. (NeuroImage, 2010)

A Statistical Framework for Optimal Design Matrix Generation With Application to fMRI. - Gautam V. Pendse; Richard Baumgartner; Adam J. Schwarz; Alexandre Coimbra; David Borsook; Lino Becerra (IEEE Trans. Medical Imaging, 2010)

Modulation of CNS pain circuitry by intravenous and sublingual doses of buprenorphine. - Jaymin Upadhyay; Julie W. Anderson; Richard Baumgartner; Alexandre Coimbra; Adam J. Schwarz; Gautam V. Pendse; Diana Wallin; Lauren Nutile; James H. Bishop; Edward George; Igor Elman; Soujanya Sunkaraneni; et al. (NeuroImage, 2012)

Quantifying temporal correlations: A test-retest evaluation of functional connectivity in resting-state fMRI. - Mark Fiecas; Hernando Ombao; Dan van Lunen; Richard Baumgartner; Alexandre Coimbra; Dai Feng (NeuroImage, 2013)

A Deep Learning-Facilitated Radiomics Solution for the Prediction of Lung Lesion Shrinkage in Non-Small Cell Lung Cancer Trials. - Antong Chen; Jennifer Saouaf; Bo Zhou 009; Randolph Crawford; Jianda Yuan; Junshui Ma; Richard Baumgartner; Shubing Wang; Gregory Goldmacher (ISBI, 2020)

Random Forest (RF) Kernel for Regression, Classification and Survival. - Dai Feng; Richard Baumgartner (CoRR, 2020)

(Decision and regression) tree ensemble based kernels for regression and classification. - Dai Feng; Richard Baumgartner (CoRR, 2020)

A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning. - Dai Feng; Richard Baumgartner (CoRR, 2021)

Unsupervised Learning to Profile Measles Outbreak Risk for US Counties. - Boshu Ru; Stephanie Kujawski; Amar Das; Nelson Afanador; Richard Baumgartner; Manjiri Pawaskar (AMIA, 2022)

Target alignment in truncated kernel ridge regression. - Arash A. Amini; Richard Baumgartner; Dai Feng (NeurIPS, 2022)

Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations. - Shaoyan Pan; Yiqiao Liu; Sarah Halek; Michal Tomaszewski; Shubing Wang; Richard Baumgartner; Jianda Yuan; Gregory Goldmacher; Antong Chen (ISBI, 2023)

3D Segmentation of Necrotic Lung Lesions in CT Images Using Self-Supervised Contrastive Learning. - Yiqiao Liu; Sarah Halek; Randolph Crawford; Keith Persson; Michal Tomaszewski; Shubing Wang; Richard Baumgartner; Jianda Yuan; Gregory Goldmacher; Antong Chen (IEEE Access, 2024)

Challenges in Variable Importance Ranking Under Correlation. - Annie Liang; Thomas Jemielita; Andy Liaw; Vladimir Svetnik; Lingkang Huang; Richard Baumgartner; Jason M. Klusowski (CoRR, 2024)

A novel machine learning based framework for developing composite digital biomarkers of disease progression. - Song Zhai; Andy Liaw; Judong Shen; Yuting Xu; Vladimir Svetnik; James J. Fitzgerald; Chrystalina A. Antoniades; Dan Holder; Marissa F. Dockendorf; Jie Ren; Richard Baumgartner (Frontiers Digit. Health, 2024)