Richard Baumgartner

31 papers A* 1B 2Misc 1Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	3D Segmentation of Necrotic Lung Lesions in CT Images Using Self-Supervised Contrastive Learning. IEEE Access Yiqiao Liu, Sarah Halek, Randolph Crawford, Keith Persson, Michal Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen
2024	J	`jnl`	A novel machine learning based framework for developing composite digital biomarkers of disease progression. Frontiers Digit. Health 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
2024	J	`jnl`	Challenges in Variable Importance Ranking Under Correlation. CoRR Annie Liang, Thomas Jemielita, Andy Liaw, Vladimir Svetnik, Lingkang Huang, Richard Baumgartner, Jason M. Klusowski
2023	—	`conf`	Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations. ISBI Shaoyan Pan, Yiqiao Liu, Sarah Halek, Michal Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen
2023	J	`jnl`	Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations. CoRR Shaoyan Pan, Yiqiao Liu, Sarah Halek, Michal Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen
2022	A*	`conf`	Target alignment in truncated kernel ridge regression. NeurIPS Arash A. Amini, Richard Baumgartner, Dai Feng
2022	J	`jnl`	Target alignment in truncated kernel ridge regression. CoRR Arash A. Amini, Richard Baumgartner, Dai Feng
2022	Misc	`conf`	Unsupervised Learning to Profile Measles Outbreak Risk for US Counties. AMIA Boshu Ru, Stephanie Kujawski, Amar Das, Nelson Afanador, Richard Baumgartner, Manjiri Pawaskar
2021	J	`jnl`	A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning. CoRR Dai Feng, Richard Baumgartner
2020	J	`jnl`	(Decision and regression) tree ensemble based kernels for regression and classification. CoRR Dai Feng, Richard Baumgartner
2020	—	`conf`	A Deep Learning-Facilitated Radiomics Solution for the Prediction of Lung Lesion Shrinkage in Non-Small Cell Lung Cancer Trials. ISBI Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher
2020	J	`jnl`	A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials. CoRR Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher
2020	J	`jnl`	Random Forest (RF) Kernel for Regression, Classification and Survival. CoRR Dai Feng, Richard Baumgartner
2013	J	`jnl`	Quantifying temporal correlations: A test-retest evaluation of functional connectivity in resting-state fMRI. NeuroImage Mark Fiecas, Hernando Ombao, Dan van Lunen, Richard Baumgartner, Alexandre Coimbra, Dai Feng
2012	J	`jnl`	Modulation of CNS pain circuitry by intravenous and sublingual doses of buprenorphine. NeuroImage 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, Gary Maier, Smriti Iyengar, Jeffrey L. Evelhoch, David Bleakman, Richard Hargreaves, Lino Becerra, David Borsook
2010	J	`jnl`	A Statistical Framework for Optimal Design Matrix Generation With Application to fMRI. IEEE Trans. Medical Imaging Gautam V. Pendse, Richard Baumgartner, Adam J. Schwarz, Alexandre Coimbra, David Borsook, Lino Becerra
2010	J	`jnl`	Improved characterization of BOLD responses for evoked sensory stimuli. NeuroImage 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, Richard Hargreaves, David Borsook, Lino Becerra
2008	J	`jnl`	A multilevel tabu search algorithm for the feature selection problem in biomedical data. Comput. Math. Appl. Idowu O. Oduntan, Michel Toulouse, Richard Baumgartner, Christopher Bowman, Ray L. Somorjai, Teodor Gabriel Crainic
2006	J	`jnl`	Data complexity assessment in undersampled classification of high-dimensional biomedical data. Pattern Recognit. Lett. Richard Baumgartner, Ray L. Somorjai
2005	B	`conf`	Evidence Accumulation to Identify Discriminatory Signatures in Biomedical Spectra. AIME A. Bamgbade, Ray L. Somorjai, Brion Dolenko, Erinija Pranckeviciene, Aleksander E. Nikulin, Richard Baumgartner
2005	J	`jnl`	Identification of signatures in biomedical spectra using domain knowledge. Artif. Intell. Medicine Erinija Pranckeviciene, Ray L. Somorjai, Richard Baumgartner, Moongu Jeon
2005	B	`conf`	On Understanding and Assessing Feature Selection Bias. AIME Sarunas Raudys, Richard Baumgartner, Ray L. Somorjai
2005	—	`conf`	Using Domain Knowledge for in the Random Subspace Method: Application: Application to the Classification of Biomedical Spectra. Multiple Classifier Systems Erinija Pranckeviciene, Richard Baumgartner, Ray L. Somorjai
2004	—	`ch.`	A Data-Driven, Flexible Machine Learning Strategy for the Classification of Biomedical Data. Artificial Intelligence Methods And Tools For Systems Biology 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
2004	—	`conf`	Consensus-Based Identification of Spectral Signatures for Classification of High-Dimensional Biomedical Spectra. ICPR (2) Erinija Pranckeviciene, Richard Baumgartner, Ray L. Somorjai
2004	—	`conf`	Control of Sparseness for Feature Selection. SSPR/SPR Erinija Pranckeviciene, Richard Baumgartner, Ray L. Somorjai, Christopher Bowman
2004	J	`jnl`	Mapping high-dimensional data onto a relative distance plane - an exact method for visualizing and characterizing high-dimensional patterns. J. Biomed. Informatics Ray L. Somorjai, Brion Dolenko, Aleksander B. Demko, Marina Mandelzweig, Aleksander E. Nikulin, Richard Baumgartner, Nicolino J. Pizzi
2003	J	`jnl`	Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions. Bioinform. Ray L. Somorjai, B. Dolenko, Richard Baumgartner
2003	—	`conf`	Reducing the Overconfidence of Base Classifiers when Combining Their Decisions. Multiple Classifier Systems Sarunas Raudys, Ray L. Somorjai, Richard Baumgartner
2002	—	`conf`	Comparison of Two Classification Methodologies on a Real-World Biomedical Problem. SSPR/SPR Ray L. Somorjai, Arunas Janeliunas, Richard Baumgartner, Sarunas Raudys
1999	J	`jnl`	Explorative signal processing in functional MR imaging. Int. J. Imaging Syst. Technol. Ewald Moser, Richard Baumgartner, Markus Barth, Christian Windischberger