Gustavo Kunde Rohde
Professor of Biomedical Engineering, Biomedical Engineering
Bio & Overview
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
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