Jeffrey J Rodriguez

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Scholarly Contributions

Journals/Publications

• Gao, X. (2020). A post-processing scheme for the performance improvement of vehicle detection in wide-area aerial imagery. Signal, Image and Video Processing, 14(3), 625-633.
• Gao, X., Szep, J., Satam, P., Hariri, S., Ram, S., & Rodríguez, J. J. (2020). Spatio-Temporal Processing for Automatic Vehicle Detection in Wide-Area Aerial Video. IEEE Access, 8, 199562-199572.
• Majdi, M. S., Keerthivasan, M. B., Rutt, B. K., Zahr, N. M., Rodriguez, J. J., & Saranathan, M. (2020). Automated thalamic nuclei segmentation using multi-planar cascaded convolutional neural networks. Magnetic Resonance Imaging, 73, 45-54.
• Malladi, S., Ram, S., & Rodriguez, J. J. (2020). Image Denoising Using Superpixel-Based PCA. IEEE Transactions on Multimedia, 1-1.
• Behkam, R., Kollech, H. G., Jana, A., Hill, A., Danford, F., Howerton, S., Ram, S., Rodríguez, J. J., Utzinger, U., Girkin, C. A., & Geest, J. (2019). Racioethnic differences in the biomechanical response of the lamina cribrosa. Acta Biomaterialia, 88, 131-140.
• Ding, D., Ram, S., & Rodríguez, J. J. (2019). Image Inpainting Using Nonlocal Texture Matching and Nonlinear Filtering. IEEE Transactions on Image Processing, 28(4), 1705-1719.
• Ding, D., Ram, S., & Rodriguez, J. J. (2018). Perceptually aware image inpainting. Pattern Recognition, 83, 174-184.
• Philip, R. C., Rodriguez, J. J., Niihori, M., Francis, R. H., Mudery, J. A., Caskey, J. S., Krupinski, E., & Jacob, A. (2018). Automated High-Throughput Damage Scoring of Zebrafish Lateral Line Hair Cells After Ototoxin Exposure. Zebrafish, 15(2), 145-155.
• Savage, R., Palafox, L. F., Morrison, C. T., Rodriguez, J. J., Barnard, K., Byrne, S., & Hamilton, C. W. (2018). A Bayesian Approach to Subkilometer Crater Shape Analysis Using Individual HiRISE Images. IEEE Transactions on Geoscience and Remote Sensing, 56(10), 5802-5812.
• Song, B., Sunny, S., Uthoff, R. D., Patrick, S., Suresh, A., Kolur, T., Keerthi, G., Anbarani, A., Wilder-Smith, P., Kuriakose, M. A., Birur, P., Rodriguez, J. J., & Liang, R. (2018). Automatic classification of dual-modalilty, smartphone-based oral dysplasia and malignancy images using deep learning. Biomed. Opt. Express, 9(11), 5318--5329.
• Rodriguez, J. J. (2017). Segmentation of the right ventricle in four chamber cine cardiac MR images using polar dynamic programming. Computerized Medical Imaging and Graphics, 62, 15-25.
• Todd, D. W., Philip, R. C., Niihori, M., Ringle, R. A., Coyle, K. R., Zehri, S. F., Zabala, L., Mudery, J. A., Francis, R. H., Rodriguez, J. J., & Jacob, A. (2017). A Fully Automated High-Throughput Zebrafish Behavioral Ototoxicity Assay. Zebrafish, 14(4), 331-342.
• Jha, A. K., Rodriguez, J. J., & Stopeck, A. T. (2016). A Maximum-Likelihood Method to Estimate a Single ADC Value of Lesions Using Diffusion MRI. Magnetic Resonance in Medicine, 76(6), 1919-1931.
• Ram, S., & Rodriguez, J. J. (2016). Size-Invariant Detection of Cell Nuclei in Microscopy Images. IEEE Trans. on Medical Imaging, 35(7), 1753-1764. doi:10.1109/TMI.2016.2527740
• Rodriguez, J. J. (2016). Dynamic Programming Using Polar Variance for Image Segmentation. IEEE Trans. on Image Processing, 25(12), 5857-5866.
• Salahieh, B., Rodriguez, J. J., Stetson, S., & Liang, R. (2016). Single-Image Full-Focus Reconstruction Using Depth-Based Deconvolution. Optical Engineering, 56(4), 041302.01-10. doi:10.1117/1.OE.56.4.041302
• Jayadevan, V. T., Rodriguez, J. J., & Cronin, A. D. (2015). A New Contrast Enhancing Feature for Cloud Detection in Ground-Based Sky Images. Journal of Atmospheric and Oceanic Technology, 32(2), 209-219. doi:10.1175/JTECH-D-14-00053.1
• Pacheco, S., Salahieh, B., Milster, T. D., Rodriguez, J. J., & Liang, R. (2015). Transfer Function Analysis in Epi-Illumination Fourier Ptychography. Optics Letters, 40(22), 5343-5346.
• Rosado-Toro, J. A., Barr, T., Galons, J., Marron, M. T., Stopeck, A., Thomson, C., Thompson, P., Caroll, D., Wolf, E., Altbach, M. I., & Rodriguez, J. J. (2015). Automated Breast Segmentation of Fat and Water MR Images Using Dynamic Programming. Academic Radiology, 22(2), 139-148. doi:10.1016/j.acra.2014.09.015
• Salahieh, B., Rodriguez, J. J., & Liang, R. (2015). Direct Superresolution for Realistic Image Reconstruction. Optics Express, 23(20), 26124-26138. doi:10.1364/OE.23.026124
• Stephen, R. M., Roe, D. J., Jha, A. K., Trouard, T. P., Galons, J., Kupinski, M. A., Frey, G., Cui, H., Squire, S., Pagel, M. D., Rodriguez, J. J., Gillies, R. J., & Stopeck, A. T. (2015). Diffusion MRI with Semi-Automated Segmentation Can Serve as a Restricted Predictive Biomarker of the Therapeutic Response of Liver Metastasis. Magnetic Resonance Imaging. doi:10.1016/j.mri.2015.08.006
• Huang, J. L., & Rodriguez, J. J. (2014). Non-Rigid Registration Using Gradient of Self-Similarity Response. Image and Vision Computing, 32(11), 825-834. doi:10.1016/j.imavis.2014.06.005
• Salahieh, B., Rodriguez, J. J., & Liang, R. (2014). Multi-Polarization Fringe Projection Imaging for High Dynamic Range Objects. Optics Express, 22(8), 10064-10071. doi:10.1364/OE.22.010064
• Jha, A. K., Kupinski, M. A., Rodriguez, J. J., & Stopeck, A. T. (2013). Corrigendum: Task-Based Evaluation of Segmentation Algorithms for Diffusion-Weighted MRI without Using a Gold Standard. Physics in Medicine and Biology, 58(1), 183. doi:10.1088/0031-9155/58/1/183
• Jha, A. K., Kupinski, M. A., Rodriguez, J. J., Stephen, R. M., & Stopeck, A. T. (2012). Task-Based Evaluation of Segmentation Algorithms for Diffusion-Weighted MRI without Using a Gold Standard. Physics in Medicine and Biology, 57(13), 4425-4446.
• Naik, S. L., Rodriguez, J. J., Kalra, N., & Sorrell, V. L. (2012). Tricuspid Annular Plane Systolic Excursion (TAPSE) Revisited Using CMR. Journal of Cardiovascular Magnetic Resonance, 14(Suppl 1), 299.
• Ram, S., Rodriguez, J. J., & Bosco, G. (2012). Segmentation and Detection of Fluorescent 3D Spots. Cytometry: Part A, 81A(3), 198-212.
• Watson, J. M., Rice, P. F., Marion, S. L., Brewer, M. A., Davis, J. R., Rodriguez, J. J., Utzinger, U., Hoyer, P. B., & Bartona, J. K. (2012). Analysis of second-harmonic-generation microscopy in a mouse model of ovarian carcinoma. Journal of Biomedical Optics, 17(7).
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  PMID: 22894485;PMCID: PMC3389559;Abstract: Second-harmonic-generation (SHG) imaging of mouse ovaries ex vivo was used to detect collagen structure changes accompanying ovarian cancer development. Dosing with 4-vinylcyclohexene diepoxide and 7,12-dimethylbenz[a]anthracene resulted in histologically confirmed cases of normal, benign abnormality, dysplasia, and carcinoma. Parameters for each SHG image were calculated using the Fourier transform matrix and gray-level co-occurrence matrix (GLCM). Cancer versus normal and cancer versus all other diagnoses showed the greatest separation using the parameters derived from power in the highest-frequency region and GLCM energy. Mixed effects models showed that these parameters were significantly different between cancer and normal (P > 0.008). Images were classified with a support vector machine, using 25% of the data for training and 75% for testing. Utilizing all images with signal greater than the noise level, cancer versus not-cancer specimens were classified with 81.2% sensitivity and 80.0% specificity, and cancer versus normal specimens were classified with 77.8% sensitivity and 79.3% specificity. Utilizing only images with greater than of 75% of the field of view containing signal improved sensitivity and specificity for cancer versus normal to 81.5% and 81.1%. These results suggest that using SHG to visualize collagen structure in ovaries could help with early cancer detection. ©2012 Society of Photo-Optical Instrumentation Engineers (SPIE).

Proceedings Publications

• Majdi, M. S., Salman, K. N., Morris, M. F., Merchant, N. C., & Rodriguez, J. J. (2020). Deep Learning Classification of Chest X-Ray Images. In 2020 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI).
• Ram, S., Nguyen, V. T., Limesand, K. H., & Rodriguez, J. J. (2020). Combined Detection and Segmentation of Cell Nuclei in Microscopy Images Using Deep Learning. In 2020 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI).
• Majdi, M. S., Ram, S., Gill, J. T., & Rodríguez, J. J. (2018). Drive-Net: Convolutional Network for Driver Distraction Detection. In 2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI).
• Malladi, S., Ram, S., & Rodríguez, J. J. (2018). A Ground-Truth Fusion Method for Image Segmentation Evaluation. In 2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI).
• Ram, S., Majdi, M. S., Rodríguez, J. J., Gao, Y., & Brooks, H. L. (2018). Classification of Primary Cilia in Microscopy Images Using Convolutional Neural Random Forests. In 2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI).
• Gao, X., Ram, S., & Rodriguez, J. J. (2016, March 6-8). A Performance Comparison of Automatic Detection Schemes in Wide-Area Aerial Imagery. In IEEE Southwest Symp. on Image Analysis and Interpretation, 125-128.
• Ram, S., & Rodriguez, J. J. (2016, March 6-8). Image Super-Resolution Using Graph Regularized Block Sparse Representation. In IEEE Southwest Symp. on Image Analysis and Interpretation, 69-72.
• Ram, S., & Rodriguez, J. J. (2016, Sept. 25-28). Vehicle Detection in Aerial Images Using Multiscale Structure Enhancement and Symmetry. In IEEE Intl. Conf. on Image Processing, 3817-3821.
• Salahieh, B., Rodriguez, J. J., & Liang, R. (2015, June 7-11). Computational Depth-Variant Deconvolution Technique for Full-Focus Imaging. In Imaging and Applied Optics 2015: Computational Optical Sensing and Imaging, CT3F.5.1-3.
• Salahieh, B., Rodriguez, J. J., & Liang, R. (2015, June 7-11). Direct Superresolution Technique for Solving a Miniature Multi-Shift Imaging System. In Imaging and Applied Optics 2015: Computational Optical Sensing and Imaging, JW3A.5.1-3.
• Malladi, S. S., Ram, S., & Rodriguez, J. J. (2014, April 6-8). Superpixels Using Morphology for Rock Image Segmentation. In 2014 IEEE Southwest Symp. on Image Analysis and Interpretation, 145-148.
• Phillip, R. C., Ram, S., Gao, X., & Rodriguez, J. J. (2014, April 6-8). A Comparison of Tracking Algorithm Performance for Objects in Wide Area Imagery. In 2014 IEEE Southwest Symp. on Image Analysis and Interpretation, 109-112.
• Ram, S., & Rodriguez, J. J. (2014, April 6-8). Single Image Super-Resolution Using Dictionary-Based Local Regression. In 2014 IEEE Southwest Symp. on Image Analysis and Interpretation, 121-124.
• Ram, S., & Rodriguez, J. J. (2013, May 26-31). Random Walker Watersheds: A New Image Segmentation Approach. In 2013 IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, 1473-1477.
• Ram, S., & Rodriguez, J. J. (2013, May 26-31). Symmetry-Based Detection of Nuclei in Microscopy Images. In 2013 IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, 1128-1132.
• Rosado-Toro, J. A., Barr, T., Galons, J., Marron, M. T., Stopeck, A., Thomson, C., Altbach, M. I., & Rodriguez, J. J. (2013, May 26-31). Automated Segmentation of Breast Fat-Water MR Images Using Empirical Analysis. In 2013 IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, 1018-1022.
• Jayadevan, V. T., Rodriguez, J. J., Lonij, V. P., & Cronin, A. D. (2012, May 13-17). Forecasting Solar Power Intermittency Using Ground-Based Cloud Imaging. In World Renewable Energy Forum, 3, 2100-2106.
• Jha, A. K., & Rodriguez, J. J. (2012, April 22-24). A Maximum-Likelihood Approach for ADC Estimation of Lesions in Visceral Organs. In IEEE Southwest Symp. on Image Analysis and Interpretation, 21-24.
• Ram, S., Rodriguez, J. J., & Bosco, G. (2012, April 22-24). Size-Invariant Cell Nucleus Segmentation in 3-D Microscopy. In 2012 IEEE Southwest Symp. on Image Analysis and Interpretation, 37-40.
• Rodriguez, J. J., Lonij, V. P., Jayadevan, V. T., Brooks, A. E., & Koch, K. (2012, June 3-8). Forecasts of PV Power Output Using Power Measurements of 80 Residential PV Installs. In 38th IEEE Photovoltaic Specialists Conf., 3300-3305.
• Rosado-Toro, J. A., & Rodriguez, J. J. (2012, April 22-24). Cell Splitting Using Dynamic Programming. In 2012 IEEE Southwest Symp. on Image Analysis and Interpretation, 33-36.

Presentations

• Rodriguez, J. J. (2015, Sept. 18). Video Processing System for Zebrafish Behavioral Assay. Arizona Cancer Center Collaborative Cancer Grand Rounds. Tucson, AZ.

Poster Presentations

• Kulkarni, R., Rodriguez, J. J., & Tuller, M. (2016, Nov. 6-9). Improved Surface Area Estimation Based on Surface Curvedness. ASA-CSSA-SSSA Intl. Annual Meeting. Phoenix, AZ: Soil Science Society of America (SSSA).
• Kulkarni, R., Schaap, M. G., Rodriguez, J. J., & Tuller, M. (2016, Nov. 6-9). Synthesis of Sphere Packings for Evaluation of Image Segmentation Algorithms. ASA-CSSA-SSSA Intl. Annual Meeting. Phoenix, AZ: Soil Science Society of America (SSSA).
• Ram, S., Howerton, S. J., Danford, F. L., Utzinger, U., Rodriguez, J. J., & Vande Geest, J. (2016, May 1-5). Racioethnic Differences in Biomechanical Environment of the Lamina Cribrosa. ARVO 2016 Annual Meeting. Seattle, WA: Assn. for Research in Vision and Ophthalmology.
• Rosado-Toro, J. A., Avery, R., Altbach, M. I., Abidov, A., & Rodriguez, J. J. (2016, May 7-13). Semi-Automated Segmentation of the Right Ventricle in 4-CH MR Images. ISMRM 24th Annual Meeting & Exhibition. Singapore: Intl. Society for Magnetic Resonance in Medicine.
• Todd, D. W., Philip, R. C., Niihori, M., Rodriguez, J. J., & Jacob, A. (2016, May 20-21). High-Throughput Behavioral Zebrafish Assay for Drug Development Targeting Hearing Loss. AOS 149th Annual Meeting. Chicago, IL: American Otological Society.
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  BEST POSTER AWARD.
• Rosado-Toro, J. A., Barr, T., Galons, J., Marron, M. T., Stopeck, A. T., Thomson, C. A., Thompson, P., Carroll, D., Wolf, E., Altbach, M. I., & Rodriguez, J. J. (2015, May 30 – June 5). Automatic Segmentation of Breast Images Using Clustering and Dynamic Programming. ISMRM 23rd Annual Meeting & Exhibition. Toronto, Canada: Intl. Society for Magnetic Resonance in Medicine.