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Gustavo Kunde Rohde

Gustavo Kunde Rohde

Professor of Biomedical Engineering, Biomedical Engineering

Bio & Overview

We build intelligent systems based on mathematical modeling of signal and image data, with applications in biomedicine, mobile and remote sensing. We specialize on objective and quantitative modeling of data from imaging and other types of sensors by incorporating knowledge from multiple disciplines including applied mathematics, signal processing, machine learning and statistics. Past and current work includes inverse problems, biometrics, digital pathology, MRI interpretation, high content screening, and communications.

Academic Information

Department
Biomedical Engineering

Primary Education

  • BS, Physics and Mathematics, Vanderbilt University , 1999
  • MS, Electrical and Computer Engineering, Vanderbilt University , 2001
  • PhD, Applied Mathematics and Scientific Computation, University of Maryland, 2005

Other Affiliations

  • MSTP

Research Interests

Objective and quantitative modeling of data from imaging and other types of sensors

PhD Programs

  • Computational Biology

Selected Publications

2024

Hassan, M. A., Yin, X., Zhuang, Y., Aldridge, C. M., Mcmurry, T., Southerland, A. M., & Rohde, G. K. (2024). A Digital Camera-Based Eye Movement Assessment Method for NeuroEye Examination. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 28(2), 655-665. doi:10.1109/JBHI.2023.3285940

2022

Zhou, Y., Nishikawa, M., Kanno, H., Yang, R., Ibayashi, Y., Xiao, T. -H., . . . Goda, K. (2023). Long-term effects of Pfizer-BioNTech COVID-19 vaccinations on platelets. CYTOMETRY PART A, 103(2), 162-167. doi:10.1002/cyto.a.24677

Aldridge, C. M., McDonald, M. M., Wruble, M., Zhuang, Y., Uribe, O., McMurry, T. L., . . . Southerland, A. M. (2022). Human vs. Machine Learning Based Detection of Facial Weakness Using Video Analysis. FRONTIERS IN NEUROLOGY, 13. doi:10.3389/fneur.2022.878282

Aldroubi, A., Martin, R. D., Medri, I., Rohde, G. K., & Thareja, S. (2022). THE SIGNED CUMULATIVE DISTRIBUTION TRANSFORM FOR 1-D SIGNAL ANALYSIS AND CLASSIFICATION. FOUNDATIONS OF DATA SCIENCE, 4(1), 137-163. doi:10.3934/fods.2022001

2021

Nishikawa, M., Kanno, H., Zhou, Y., Xiao, T. -H., Suzuki, T., Ibayashi, Y., . . . Goda, K. (2021). Massive image-based single-cell profiling reveals high levels of circulating platelet aggregates in patients with COVID-19. NATURE COMMUNICATIONS, 12(1). doi:10.1038/s41467-021-27378-2

Zhuang, Y., McDonald, M. M., Aldridge, C. M., Hassan, M. A., Uribe, O., Arteaga, D., . . . Rohde, G. K. (2021). Video-Based Facial Weakness Analysis. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 68(9), 2698-2705. doi:10.1109/TBME.2021.3049739

Shifat-E-Rabbi, M., Yin, X., Rubaiyat, A. H. M., Li, S., Kolouri, S., Aldroubi, A., . . . Rohde, G. K. (2021). Radon Cumulative Distribution Transform Subspace Modeling for Image Classification. JOURNAL OF MATHEMATICAL IMAGING AND VISION, 63(9), 1185-1203. doi:10.1007/s10851-021-01052-0

Neary, P. L., Nichols, J. M., Watnik, A. T., Judd, K. P., Rohde, G. K., Lindle, J. R., & Flann, N. S. (2021). Transport-based pattern recognition versus deep neural networks in underwater OAM communications. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 38(7), 954-962. doi:10.1364/JOSAA.412463

Aldroubi, A., Li, S., & Rohde, G. K. (2021). Partitioning signal classes using transport transforms for data analysis and machine learning. SAMPLING THEORY SIGNAL PROCESSING AND DATA ANALYSIS, 19(1). doi:10.1007/s43670-021-00009-z

Kundu, S., Ashinsky, B. G., Bouhrara, M., Dam, E. B., Demehri, S., Shifat-E-Rabbi, M., . . . Rohde, G. K. (2021). REPLY TO ROEMER AND GUERMAZI: Early biochemical changes onMRI can predict risk of symptomatic progression. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 118(11). doi:10.1073/pnas.2024679118

Kundu, S., Huang, H., Erickson, K. I., McAuley, E., Kramer, A. F., & Rohde, G. K. (2021). Investigating impact of cardiorespiratory fitness in reducing brain tissue loss caused by ageing. BRAIN COMMUNICATIONS, 3(4). doi:10.1093/braincomms/fcab228

Wang, K., Rohde, G. K., & Xiao, J. (2021). Edge feature enhancement approach using hilbert transform of Cauchy distribution and its applications. IET IMAGE PROCESSING, 15(12), 2891-2909. doi:10.1049/ipr2.12275

2020

Kundu, S., Ashinsky, B. G., Bouhrara, M., Dam, E. B., Demehri, S., Shifat-E-Rabbi, M., . . . Rohde, G. K. (2020). Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 117(40), 24709-24719. doi:10.1073/pnas.1917405117

Kolouri, S., Yin, X., & Rohde, G. K. (2020). Neural Networks, Hypersurfaces, and the Generalized Radon Transform. IEEE SIGNAL PROCESSING MAGAZINE, 37(4), 123-133. doi:10.1109/MSP.2020.2978822

Shifat-E-Rabbi, M., Yin, X., Fitzgerald, C. E., & Rohde, G. K. (2020). Cell Image Classification: A Comparative Overview. CYTOMETRY PART A, 97(4), 347-362. doi:10.1002/cyto.a.23984

Zhuang, Y., McDonald, M., Uribe, O., Yin, X., Parikh, D., Southerland, A. M., & Rohde, G. K. (2020). Facial Weakness Analysis and Quantification of Static Images. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 24(8), 2260-2267. doi:10.1109/JBHI.2020.2964520

Huang, S. -W., Rohde, G. K., Cheng, H. -M., & Lin, S. -F. (2020). Discretized Target Size Detection in Electrical Impedance Tomography Using Neural Network Classifier. JOURNAL OF NONDESTRUCTIVE EVALUATION, 39(4). doi:10.1007/s10921-020-00723-z

Rubaiyat, A. H. M., Hallam, K. M., Nichols, J. M., Hutchinson, M. N., Li, S., & Rohde, G. K. (2020). Parametric Signal Estimation Using the Cumulative Distribution Transform.. IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society, 68, 3312-3324. doi:10.1109/tsp.2020.2997181

2019

Kundu, S., Ghodadra, A., Fakhran, S., Alhilali, L. M., & Rohde, G. K. (2019). Assessing Postconcussive Reaction Time Using Transport-Based Morphometry of Diffusion Tensor Images. AMERICAN JOURNAL OF NEURORADIOLOGY, 40(7), 1117-1123. doi:10.3174/ajnr.A6087

Corliss, B. A., Mathews, C., Doty, R., Rohde, G., & Peirce, S. M. (2019). Methods to label, image, and analyze the complex structural architectures of microvascular networks. MICROCIRCULATION, 26(5). doi:10.1111/micc.12520

Nichols, J. M., Hutchinson, M. N., Menkart, N., Cranch, G. A., & Rohde, G. K. (2019). Time Delay Estimation Via Wasserstein Distance Minimization. IEEE SIGNAL PROCESSING LETTERS, 26(6), 908-912. doi:10.1109/LSP.2019.2895457

Nichols, J. M., Emerson, T. H., & Rohde, G. K. (2019). A transport model for broadening of a linearly polarized, coherent beam due to inhomogeneities in a turbulent atmosphere. JOURNAL OF MODERN OPTICS, 66(8), 835-849. doi:10.1080/09500340.2019.1577506

2018

Qi, Q., Li, Y., Wang, J., Zheng, H., Huang, Y., Ding, X., & Rohde, G. K. (2019). Label-Efficient Breast Cancer Histopathological Image Classification. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 23(5), 2108-2116. doi:10.1109/JBHI.2018.2885134

Corliss, B. A., Ray, H. C., Patrie, J. T., Mansour, J., Kesting, S., Park, J. H., . . . Peirce, S. M. (2019). CIRCOAST: a statistical hypothesis test for cellular colocalization with network structures. BIOINFORMATICS, 35(3), 506-514. doi:10.1093/bioinformatics/bty638

Nichols, J. M., Emerson, T. H., Cattell, L., Park, S., Kanaev, A., Bucholtz, F., . . . Rohde, G. K. (2018). Transport-based model for turbulence-corrupted imagery. APPLIED OPTICS, 57(16), 4524-4536. doi:10.1364/AO.57.004524

Liu, C., Huang, Y., Ozolek, J. A., Hanna, M. G., Singh, R., & Rohde, G. K. (2019). SetSVM: An Approach to Set Classification in Nuclei-Based Cancer Detection. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 23(1), 351-361. doi:10.1109/JBHI.2018.2803793

Park, S. R., Cattell, L., Nichols, J. M., Watnik, A., Doster, T., & Rohde, G. K. (2018). De-multiplexing vortex modes in optical communications using transport-based pattern recognition. OPTICS EXPRESS, 26(4), 4004-4022. doi:10.1364/OE.26.004004

Park, S. R., Kolouri, S., Kundu, S., & Rohde, G. K. (2018). The cumulative distribution transform and linear pattern classification. APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 45(3), 616-641. doi:10.1016/j.acha.2017.02.002

2017

Kundu, S., Kolouri, S., Erickson, K. I., Kramer, A. F., McAuley, E., & Rohde, G. K. (2018). Discovery and visualization of structural biomarkers from MRI using transport-based morphometry. NEUROIMAGE, 167, 256-275. doi:10.1016/j.neuroimage.2017.11.006

Kolouri, S., Park, S. R., Thorpe, M., Slepcev, D., & Rohde, G. K. (2017). Optimal Mass Transport Signal processing and machine-learning applications. IEEE SIGNAL PROCESSING MAGAZINE, 34(4), 43-59. doi:10.1109/MSP.2017.2695801

Huang, Y., Zheng, H., Liu, C., Ding, X., & Rohde, G. K. (2017). Epithelium-Stroma Classification via Convolutional Neural Networks and Unsupervised Domain Adaptation in Histopathological Images. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 21(6), 1625-1632. doi:10.1109/JBHI.2017.2691738

Thorpe, M., Park, S., Kolouri, S., Rohde, G. K., & Slepcev, D. (2017). A Transportation Distance for Signal Analysis. JOURNAL OF MATHEMATICAL IMAGING AND VISION, 59(2), 187-210. doi:10.1007/s10851-017-0726-4

Pantanowitz, L., Liu, C., Huang, Y., Guo, H., & Rohde, G. K. (2017). Impact of Altering Various Image Parameters on Human Epidermal Growth Factor Receptor 2 Image Analysis Data Quality.. Journal of pathology informatics, 8, 39. doi:10.4103/jpi.jpi_46_17

Hanna, M. G., Liu, C., Rohde, G. K., & Singh, R. (2017). Predictive Nuclear Chromatin Characteristics of Melanoma and Dysplastic Nevi.. Journal of pathology informatics, 8, 15. doi:10.4103/jpi.jpi_84_16

2016

Huang, Y., Liu, C., Eisses, J. F., Husain, S. Z., & Rohde, G. K. (2016). A supervised learning framework for pancreatic islet segmentation with multi-scale color-texture features and rolling guidance filters. CYTOMETRY PART A, 89A(10), 893-902. doi:10.1002/cyto.a.22929

Kolouri, S., Tosun, A. B., Ozolek, J. A., & Rohde, G. K. (2016). A continuous linear optimal transport approach for pattern analysis in image datasets. PATTERN RECOGNITION, 51, 453-462. doi:10.1016/j.patcog.2015.09.019

Liu, C., Shang, F., Ozolek, J. A., & Rohde, G. K. (2016). Detecting and segmenting cell nuclei in two-dimensional microscopy images.. Journal of pathology informatics, 7, 42. doi:10.4103/2153-3539.192810

2015

Kolouri, S., Park, S. R., & Rohde, G. K. (2016). The Radon Cumulative Distribution Transform and Its Application to Image Classification. IEEE TRANSACTIONS ON IMAGE PROCESSING, 25(2), 920-934. doi:10.1109/TIP.2015.2509419

Johnson, G. R., Li, J., Shariff, A., Rohde, G. K., & Murphy, R. F. (2015). Automated Learning of Subcellular Variation among Punctate Protein Patterns and a Generative Model of Their Relation to Microtubules. PLOS COMPUTATIONAL BIOLOGY, 11(12). doi:10.1371/journal.pcbi.1004614

Eisses, J. F., Criscimanna, A., Dionise, Z. R., Orabi, A. I., Javed, T. A., Sarwar, S., . . . Husain, S. Z. (2015). Valproic Acid Limits Pancreatic Recovery after Pancreatitis by Inhibiting Histone Deacetylases and Preventing Acinar Redifferentiation Programs. AMERICAN JOURNAL OF PATHOLOGY, 185(12), 3304-3315. doi:10.1016/j.ajpath.2015.08.006

Johnson, G. R., Buck, T. E., Sullivan, D. P., Rohde, G. K., & Murphy, R. F. (2015). Joint modeling of cell and nuclear shape variation. MOLECULAR BIOLOGY OF THE CELL, 26(22), 4046-4056. doi:10.1091/mbc.E15-06-0370

Bonfield, C. M., Foley, L. M., Kundu, S., Fellows-Mayle, W., Hitchens, T. K., Rohde, G. K., . . . Mooney, M. P. (2015). The influence of surgical correction on white matter microstructural integrity in rabbits with familial coronal suture craniosynostosis. NEUROSURGICAL FOCUS, 38(5). doi:10.3171/2015.2.FOCUS14849

Rohde, G. K. (2015). Computational Analysis of Cell Images. CYTOMETRY PART A, 87A(4), 294-295. doi:10.1002/cyto.a.22653

Tosun, A. B., Yergiyev, O., Kolouri, S., Silverman, J. F., & Rohde, G. K. (2015). Detection of Malignant Mesothelioma Using Nuclear Structure of Mesothelial Cells in Effusion Cytology Specimens. CYTOMETRY PART A, 87A(4), 326-333. doi:10.1002/cyto.a.22602

Li, Y., Chen, H., Rohde, G. K., Yao, C., & Cheng, L. (2015). Texton analysis for mass classification in mammograms. PATTERN RECOGNITION LETTERS, 52, 87-93. doi:10.1016/j.patrec.2014.10.008

Basu, S., Liu, C., & Rohde, G. K. (2015). Extraction of Individual Filaments from 2D Confocal Microscopy Images of Flat Cells. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 12(3), 632-643. doi:10.1109/TCBB.2014.2372783

2014

Basu, S., Liu, C., & Rohde, G. K. (2015). Localizing and extracting filament distributions from microscopy images. JOURNAL OF MICROSCOPY, 258(1), 13-23. doi:10.1111/jmi.12209

Huang, H., Tosun, A. B., Guo, J., Chen, C., Wang, W., Ozolek, J. A., & Rohde, G. K. (2014). Cancer diagnosis by nuclear morphometry using spatial information. PATTERN RECOGNITION LETTERS, 42, 115-121. doi:10.1016/j.patrec.2014.02.008

Ozolek, J. A., Tosun, A. B., Wang, W., Chen, C., Kolouri, S., Basu, S., . . . Rohde, G. K. (2014). Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning. MEDICAL IMAGE ANALYSIS, 18(5), 772-780. doi:10.1016/j.media.2014.04.004

Xu, S., Sun, L., & Rohde, G. K. (2014). Robust efficient estimation of heart rate pulse from video. BIOMEDICAL OPTICS EXPRESS, 5(4), 1124-1135. doi:10.1364/BOE.5.001124

Basu, S., Kolouri, S., & Rohde, G. K. (2014). Detecting and visualizing cell phenotype differences from microscopy images using transportbased morphometry. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 111(9), 3448-3453. doi:10.1073/pnas.1319779111

Basu, S., Dahl, K. N., & Rohde, G. K. (2014). Localizing and extracting filament distributions from microscopy images (Retraction of vol 250, pg 57, 2013). JOURNAL OF MICROSCOPY, 254(3), 166. doi:10.1111/jmi.12129

Rohde, G. K., Bucholtz, F., & Nichols, J. M. (2014). Maximum empirical likelihood estimation of time delay in independently and identically distributed noise. IET SIGNAL PROCESSING, 8(7), 720-728. doi:10.1049/iet-spr.2013.0268

Eisses, J. F., Davis, A. W., Tosun, A. B., Dionise, Z. R., Chen, C., Ozolek, J. A., . . . Husain, S. Z. (2014). A Computer-Based Automated Algorithm for Assessing Acinar Cell Loss after Experimental Pancreatitis. PLOS ONE, 9(10). doi:10.1371/journal.pone.0110220

2013

Chen, C., Wang, W., Ozolek, J. A., & Rohde, G. K. (2013). A flexible and robust approach for segmenting cell nuclei from 2D microscopy images using supervised learning and template matching. CYTOMETRY PART A, 83A(5), 495-507. doi:10.1002/cyto.a.22280

Basu, S., Dahl, K. N., & Rohde, G. K. (2013). Localizing and extracting filament distributions from microscopy images (Retracted article. See vol. 254, pg. 166, 2014). JOURNAL OF MICROSCOPY, 250(1), 57-67. doi:10.1111/jmi.12018

Guo, J., Huang, H., Chen, C., & Rohde, G. K. (2013). Optimized Nonlinear Discriminant Analysis (ONDA) for Supervised Pixel Classification. IEEE SIGNAL PROCESSING LETTERS, 20(12), 1155-1158. doi:10.1109/LSP.2013.2278976

2012

Kustra, S., Wu, H., Basu, S., Rohde, G. K., & Bettinger, C. J. (2012). High-Throughput Arrays for Rapid Characterization of Solution-Processable Transparent Conducting Electrodes. SMALL, 8(24), 3746-3751. doi:10.1002/smll.201201330

Wang, W., Slepcev, D., Basu, S., Ozolek, J. A., & Rohde, G. K. (2013). A Linear Optimal Transportation Framework for Quantifying and Visualizing Variations in Sets of Images. INTERNATIONAL JOURNAL OF COMPUTER VISION, 101(2), 254-269. doi:10.1007/s11263-012-0566-z

Buck, T. E., Li, J., Rohde, G. K., & Murphy, R. F. (2012). Toward the virtual cell: Automated approaches to building models of subcellular organization "learned" from microscopy images. BIOESSAYS, 34(9), 791-799. doi:10.1002/bies.201200032

Holt, B. D., Shams, H., Horst, T. A., Basu, S., Rape, A. D., Wang, Y. -L., . . . Dahl, K. N. (2012). Altered Cell Mechanics from the Inside: Dispersed Single Wall Carbon Nanotubes Integrate with and Restructure Actin. JOURNAL OF FUNCTIONAL BIOMATERIALS, 3(2). doi:10.3390/jfb3020398

Li, J., Shariff, A., Wiking, M., Lundberg, E., Rohde, G. K., & Murphy, R. F. (2012). Estimating Microtubule Distributions from 2D Immunofluorescence Microscopy Images Reveals Differences among Human Cultured Cell Lines. PLOS ONE, 7(11). doi:10.1371/journal.pone.0050292

2011

Wang, W., Mo, Y., Ozolek, J. A., & Rohde, G. K. (2011). Penalized Fisher discriminant analysis and its application to image-based morphometry. PATTERN RECOGNITION LETTERS, 32(15), 2128-2135. doi:10.1016/j.patrec.2011.08.010

Chen, C., Ozolek, J. A., Wang, W., & Rohde, G. K. (2011). A General System for Automatic Biomedical Image Segmentation Using Intensity Neighborhoods. INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING, 2011. doi:10.1155/2011/606857

Choi, S., Wang, W., Ribeiro, A. J. S., Kalinowski, A., Gregg, S. Q., Opresko, P. L., . . . Dahl, K. N. (2011). Computational image analysis of nuclear morphology associated with various nuclear-specific aging disorders. NUCLEUS, 2(6), 570-579. doi:10.4161/nucl.2.6.17798

2010

Wang, W., Ozolek, J. A., Slepcev, D., Lee, A. B., Chen, C., & Rohde, G. K. (2011). An Optimal Transportation Approach for Nuclear Structure-Based Pathology. IEEE TRANSACTIONS ON MEDICAL IMAGING, 30(3), 621-631. doi:10.1109/TMI.2010.2089693