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Chen, Y., Holmes, J. H., Corum, C., Magnotta, V., & Jacob, M. (2023). Deep Factor Model: A Novel Approach for Motion Compensated Multi-Dimensional MRI. https://doi.org/10.48550/arxiv.2304.00102

Dogra, S., Misra, P., Bedi, T.S., & Jacob, M. (2023). Isolated brachioradialis symptomatic cysticercosis in a young female: a rare entity surgically managed. Medical Journal Armed Forces India. https://doi.org/10.1016/j.mjafi.2023.04.005

Fan, F., Kirby, L., Gralczyk, A., & Song, X. (2023). Binder-free additive manufacturing of ceramics using hydrothermal-assisted jet fusion. Journal of the European Ceramic Society. https://doi.org/10.1016/j.jeurceramsoc.2023.06.056

Galloy, A.E., Reinhardt, J.M., & Raghavan, M.L. (2023). Role of lung lobar sliding on parenchymal distortion during breathing. Journal of Applied Physiology. https://doi.org/10.1152/japplphysiol.00631.2022

Gourronc, F. A., Chimenti, M. S., Lehmler, H.-J., Ankrum, J. A., & Klingelhutz, A. J. (2023). Hydroxylation markedly alters how the polychlorinated biphenyl (PCB) congener, PCB52, affects gene expression in human preadipocytes. Toxicology in Vitro, 89, 105568–105568. https://doi.org/10.1016/j.tiv.2023.105568

Han, W., & Nashed, M.Z. (2023). On variation-hemivariational inequalities in Banach spaces. Communications in Nonlinear Science and Numerical Simulation, 124, 107309. https://doi.org/10.1016/j.cnsns.2023.107309

Kletzing, C.A., Bortnik, J., Hospodarsky, W.S., Santolik, O., Smitth, C.W., . . . Sen Gupta, A. (2023). The Electric and Magnetic Fields Instrument Suite and Integrated Science (EMFISIS): Science, data, and usage best practices. Space Science Reviews 219(28). https://doi.org/10.1007/s11214-023-00973-z

Kubicek, B., Sen Gupta, A., & Kirsteins, I. (2023). Feature Extraction and Classification of Simulated Monostatic Acoustic Echoes from Spherical Targets of Various Materials Using Convolutional Neural Networks. Journal of Marine Science and Engineering, 11(571), 571. https://doi.org/10.3390/jmse11030571

Lee, D., & Rahman, S. (2023). High-dimensional stochastic design optimization under dependent random variables by a dimensionally decomposed generalized polynomial chaos expansion. International Journal for Uncertainty Quantification. DOI: 10.1615/Int.J.UncertaintyQuantification.2023043457

Lee, H., Moon, B., Buss, A. et al. (2023). Consistent foamed asphalt contents needed for cold in-place recycled pavement layers in practice. Engineering Proceedings. https://doi.org/10.3390/engproc2023036062

Li, J., Cai, M., Wang, Z., & Xiao S. (2023). Model-based motion planning in POMDPs with temporal logic specifications. Advanced Robotics, DOI: 10.1080/01691864.2023.2226191

Linhardt, T. J., Sen Gupta, A., & Bays, M. (2023). Convolutional autoencoding of small targets in the littoral sonar acoustic backscattering domain. Journal of Marine Science and Engineering, 11(1):21. https://doi.org/10.3390/jmse11010021

Mo, Y., Xing, R., Hou H., & Dasgupta, S. (2023). Finite time input-to-state stability of discrete time autonomous systems. IEEE Control Systems Letters, doi: 10.1109/LCSYS.2023.3287502

Pramanik, A., & Jacob, M. (2023). Accelerated parallel MRI using memory efficient and robust monotone operator learning (MOL). arXiv:2304.01351v1 [cs.LG]. https://doi.org/10.48550/arXiv.2304.01351

Priya, S., Dhruba, D.D., Perry, S.S., Aher, P.Y., Gupta, A., Nagpal, P., & Jacob, M. (2023). Optimizing deep learning for cardiac MRI segmentation: The impact of automated slice range classification, Academic Radiology. https://doi.org/10.1016/j.acra.2023.07.008

Priya, S., Dhruba, D.D., Sorenson E., Aher, P.Y., Narayanasamy, S., Nagpal, P., Jacob, M., & Cartner, K.D. (2023). ComBat harmonization of myocardial radiomic features sensitive to cardiac MRI acquisition parameters. Radiology: Cardiothroacic Imaging, 5(4). https://doi.org/10.1148/ryct.220312

Raghuram, A., Galloy, A., Nino, M., Sanchez, S., Hasan, D., Raghavan, S., & Samaniego, E.A. (2023). Comprehensive morphomechanical analysis of brain aneurysms. Acta Neurochir, 165: 461–470. https://doi.org/10.1007/s00701-022-05476-4

Samanta, A., Huang, W., & Ding, H. (2023). Efficient fog harvesting on metal surfaces with venation-inspired wetting patterns fabricated via laser-based maskless approach. Journal of Manufacturing Processes, 98, 351-356. https://doi.org/10.1016/j.jmapro.2023.05.045

Samanta, A., Huang, W., Lee, K., He, X., Kumara, C., Qu, J., & Ding, H. (2023). Role of surface wetting on tribological behavior for laser nanotextured steel using ionic liquid lubricants. Journal of Manufacturing Processes 95, 302-311.

Sander, E. A., & Quinn, K. P. (2023). Special Issue: Honoring the Editorial Accomplishments of Beth Winkelstein and Victor Barocas. Journal of Biomechanical Engineering, 145(3). https://doi.org/10.1115/1.4056720

Schrodt, M.V., Behan-Bush, R.M., ... Ankrum, J.A. (2023). Efferocytosis of viable versus heat-inactivated MSC induces human monocytes to distinct immunosuppressive phenotypes. Stem Cell Research & Therapy. https://doi.org/10.1186/s13287-023-03443-z

Scott, M., Bangel III, A.W., Song, X., & Xie, Y. (2023). Acoustic-modulated, selective particle deposition for multi-material additive manufacturing. Advanced Materials Technologies. https://doi.org/10.1002/admt.202300424

Smith, R., Ruben, C., Pradhan, O., Brogden, N., & Fiegel, J. (2023). Spray coverage analysis of topical sprays formed by cold thermoreversible hydrogels. Drug Development and Industrial Pharmacy, DOI: 10.1080/03639045.2023.2229919

Tollefson, M. R., Gogal, R. A., Weaver, A. M., Schaefer, A. M., Marini, R. J., Azaiez, H., … Schnieders, M. (2023). Assessing Variants of Uncertain Significance Implicated in Hearing Loss Using a Comprehensive Deafness Proteome. American Journal Experts.

Uc, E., Anjum, F., Dasgupta, S., & Narayanan, N. (2023). Resting-state EEG predicts cognitive impairment in Parkinson’s disease (P6-11.015). Neurology 17(2). https://doi.org/10.1212/WNL.0000000000203685

Wu, X., Zhou, L., Zaman, F., Qiu, B., Buatti, J.M. (2023). Model-Informed Deep Learning for Surface Segmentation in Medical Imaging. In: Frangi, A., de Bruijne, M., Wassermann, D., Navab, N. (eds) Information Processing in Medical Imaging. IPMI 2023. Lecture Notes in Computer Science, vol 13939. Springer, Cham. https://doi.org/10.1007/978-3-031-34048-2_63

Abdel-Malek, K., Bhatt, R., Murphy, C., & Tena Salais, M. (2022) Santos the virtual soldier predicts human behavior. Proceedings of the 7th International Digital Human Modeling Symposium 7(1): 48. doi: https://doi.org/10.17077/dhm.31790

Ahmed, A.H., Zou, Q., Nagpal, P., & Jacob, M. (2022). Dynamic imaging using deep bi-linear unsupervised representation (DEBLUR). IEEE Transactions on Medical Imaging. https://doi.org/10.1109/TMI.2022.3168559

Al-Bazoon, M., & Arora, J.S. (2022). A hybrid stochastic algorithm with domain reduction for discrete structural optimization. Misan Journal of Engineering Sciences 1(2).

Attarian, S., & Xiao, S. (2022). Development of a 2NN-MEAM potential for Ti-B system and studies of the temperature dependence of the nanohardness of TiB₂. Computational Materials Science 201, 110875. https://doi.org/10.1016/j.commatsci.2021.110875

Attarian, S., & Xiao, S. (2022). Investigating the strength of Ti/TiB interfaces at multiple scales using density functional theory, molecular dynamics, and cohesive zone modeling. Ceramics International 48(22):33185-33199. https://doi.org/10.1016/j.ceramint.2022.07.259

Boland, L., Bitterlich, L.M., Hogan, A.E., Ankrum, J.A., & English, K. (2022). Translating MSC therapy in the age of obesity. Frontiers in Immunology 13, 943333. https://doi.org/10.3389/fimmu.2022.943333

Christensen, A., Sen Gupta, A., & Kirsteins, I. (2022). Braid manifold discovery using temporal graph networks. OCEANS 2022, Hampton Roads, Hampton Roads, VA, USA, 2022, pp. 1-4, doi: 10.1109/OCEANS47191.2022.9977338.

Christensen, A., Sen Gupta, A., & Kirsteins, I. (2022). Graph representation learning on braid manifolds. The Journal of the Acoustical Society of America 152, A39. https://doi.org/10.1121/10.0015466

Christensen, A., Sen Gupta, A., & Kirsteins, I. (2022). Sonar target feature representation using temporal graph networks [abstract]. The Journal of the Acoustical Society of America 151, A102. https://doi.org/10.1121/10.0010791

Corum, C.A., Kruger, S.J., Jacob, M., Magnotta, V.A., & Holmes, J.H. (2022). Robust and computationally efficient missing point and phase estimation for multi-channel acquisition with  ZTE sequences [Abstract #4068]. Presented at the Joint Annual Meeting ISMRM-ESMRMB, London, England, UK.

Ding, L., & Han, W. (2022). Morozov's discrepancy principle for αℓ1− βℓ2 sparsity regularization. Inverse Problems and Imaging 17(1): 157-179.

Donahue, R., Hardin, R., and Beckermann, C. (2022). Effect of gating system and pour order on steel casting cleanliness. In Proceedings of the 76th SFSA Technical and Operating Conference (paper no. 3.4). Steel Founders' Society of America, Chicago, IL.

Duan, W., Zhi, H., Keefe, D.W., Gao, B., LeFevre, G., & Toor, F. (2022). Sensitive and specific detection of estrogens featuring doped silicon nanowire arrays. ACS Omega 2022, 7, 50, 47341–47348. https://doi.org/10.1021/acsomega.1c00210

Dybeck, E.C., Thiel, A., Schnieders, M.J., Pickar IV, F.C., Wood, G.P.F., Krzyzaniak, J.F., & Hancock, B.C. (2022). A comparison of methods for computing relative anhydrous–hydrate stability with molecular simulation. Cryst. Growth Des. 2023, 23, 1, 142–167. https://doi.org/10.1021/acs.cgd.2c00832

Espinoza, A.I., May, P., Anjum, M.F., Singh, A., Cole, R.C., Trapp, N., Dasgupta, S., Narayanan, N.S. (2022). A pilot study of machine learning of resting-state EEG and depression in Parkinson’s disease. Clinical Parkinsonism & Related Disorders 7, 100166. https://doi.org/10.1016/j.prdoa.2022.100166

Feng, F., Han, W., & Huang, J. (2022). A nonconforming virtual element method for a fourth-order hemivariational inequality in Kirchhoff plate problem. Journal of Scientific Computing 90(89). https://doi.org/10.1007/s10915-022-01759-1

Frey-Law, L., Bhatt, R., Schneider, R., Laguna Mosqueda, G., Tena Salais, M., Evans, L., & Abdel-Malek, K. (2022) Modeling ability to perform common soldier tasks based on the Army Combat Fitness Test dead lift. Proceedings of the 7th International Digital Human Modeling Symposium 7(1): 42. doi: https://doi.org/10.17077/dhm.31784

Galloy, A.E., Amelon, R.E., Reinhardt, J.M., & Raghavan, M.L. (2022). Contact mechanics model of lung lobar sliding. Applications in Engineering Science, 100098. https://doi.org/10.1016/j.apples.2022.100098

Gao, B., Rojas Chavez, A.A., Malkawi, W.I., Keefe, D.W., Smith, R., Haim, H., Salem, A.K., & Toor, F. (2022). Sensitive detection of SARS-CoV-2 spike protein using vertically-oriented silicon nanowire array-based biosensor. Sensing and Bio-Sensing Research 36, 10048. https://doi.org/10.1016/j.sbsr.2022.100487

Gourronc, F.A., Helm, B.K., Robertson, L.W., Chimenti, M.S., Lehmler, H.-J., Ankrum, J.A., & Klingelhutz, A.J. (2022). Dataset of transcriptomic changes that occur in human preadipocytes over a 3-day course of exposure to 3,3′,4,4′,5-Pentachlorobiphenyl (PCB126). Data in Brief 45: 108571. https://doi.org/10.1016/j.dib.2022.108571

Gourronc, F.A., Helm, B.K., Robertson, L.W., Chimenti, M.S., Lehmler, H.-J., Ankrum, J.A., & Klingelhutz, A.J. (2022). Transcriptome sequencing of 3,3′,4,4′,5-Pentachlorobiphenyl (PCB126)-treated human preadipocytes demonstrates progressive changes in pathways associated with inflammation and diabetes. Toxicology in Vitro 83, 105396. https://doi.org/10.1016/j.tiv.2022.105396

Han, W., Ling, M., & Wang, F. (2022). Numerical solution of an H (curl)-elliptic hemivariational inequality. IMA Journal of Numerical Analysis, drac007. https://doi.org/10.1093/imanum/drac007

Han, W., & Matei, A. (2022). Well-posedness of a general class of elliptic mixed hemivariational-variational inequalities. Nonlinear Analysis: Real World Applications 66, 103553. https://doi.org/10.1016/j.nonrwa.2022.103553

Han, W., & Sofonea, M. (2022). Numerical analysis of a general elliptic variational-hermivariational inequality. Journal of Nonlinear and Variational Analysis 6(5):517-534.

Highland, P., Schnell, T., Woodruff, K., & Avdic-McIntire, G. (2022). Towards human objective real-time trust of autonomy measures for combat aviation. The International Journal of Aerospace Psychology. DOI: 10.1080/24721840.2022.2127724

Hu, H., Eluchie, C., Huang, W., Ding, H., & Hu, H. (2022). An experimental study to compare water droplet impinging dynamics and wind-driven water runback process over laser treated surfaces with different wettability characteristics (AIAA 2022-4095). AIAA Aviation 2022 Forum. https://doi.org/10.2514/6.2022-4095

Huang, W., Nelson, B., Tian, S., Ordikhani-Seyedlar, R., Auyeung, R.C.Y., Samanta, A., Hu, H., Shaw, S., Lamuta, C., & Ding, H. (2022). Superhydrophobic surface processing for metal 3D printed parts. Applied Materials Today 29: 101630. https://doi.org/10.1016/j.apmt.2022.101630

Jahanbin, R., & Rahman, S. (2022). Stochastic isogeometric analysis on arbitrary multipatch domains by spline dimensional decomposition. Computer Methods in Applied Mechanics and Engineering 393, 114813. https://doi.org/10.1016/j.cma.2022.114813

Karimpour, A., Rahmatalla, S., & Harwood, C. (2022). Effect of directional added mass on highway bridge response during flood events. Infrastructures 7(3), 42. https://doi.org/10.3390/infrastructures7030042

Keefe, D., Smith, R., Gao, B., Malkawi, W.I., Geary, S.M., Kasi, P.M., Sharif, S., Salem, A.K., & Toor, F. (2022). Colorectal cancer biosensor using vertically-oriented silicon nanowires. 2022 IEEE Sensors, Dallas, TX, USA, 2022, pp. 1-4, doi: 10.1109/SENSORS52175.2022.9967069

King, B., & Fiegel, J. (2022). Zwitterionic polymer coatings enhance gold nanoparticle stability and uptake in various biological environments. The AAPS Journal 24, 18. https://doi.org/10.1208/s12248-021-00652-3

Kirby, L., Fei, F., & Song, X. (2022). Stress shielding effect in pressure-assisted binder jetting. Powder Technology 415, 118146. https://doi.org/10.1016/j.powtec.2022.118146

Kubicek, B., Sen Gupta, A., & Kirsteins, I. (2022). Braid feature extraction and representation of active sonar data. The Journal of the Acoustical Society of America 152, A39. https://doi.org/10.1121/10.0015465

Kubicek, B., Sen Gupta, A., & Kirsteins, I. (2022). Canonical correlation analysis as a feature extraction method to classify active sonar targets with shallow neural networks. The Journal of the Acoustical Society of America 152, 2893. https://doi.org/10.1121/10.0015136

Kubicek, B., Sen Gupta, A., & Kirsteins, I. (2022). Feature Engineering and Classification of Elastic Waves from Partial Wave Simulations of Active Sonar Targets. OCEANS 2022, Hampton Roads, Hampton Roads, VA, USA, 2022, pp. 1-5, doi: 10.1109/OCEANS47191.2022.9977330.

Kubicek, B., Sen Gupta, A., & Kirsteins, I. (2022). Statistical-based feature extraction and classification of active sonar data [abstract]. The Journal of the Acoustical Society of America 151, A267. https://doi.org/10.1121/10.0011297

Lee, D., & Rahman, S. (2022). Reliability-based design optimization under dependent random variables by a generalized polynomial chaos expansion. Structural and Multidisciplinary Optimization 65(21). https://doi.org/10.1007/s00158-021-03123-7

Lee, D., Jahanbin, R. & Rahman, S. (2022). Robust design optimization by spline dimensional decomposition. Probabilistic Engineering Mechanics, 103218. https://doi.org/10.1016/j.probengmech.2022.103218

Li, Z., Cai, M., Xiao, S., & Kan, Z. (2022). Online motion planning with soft metric interval temporal logic in unknown dynamic environment. IEEE Control Systems Letters. doi: 10.1109/LCSYS.2022.3145058

Ling, M., Han, W., & Zeng, S. (2022). A pressure projection stabilized mixed finite element method for a Stokes hemivariational inequality. Journal of Scientific Computing 92, 13. https://doi.org/10.1007/s10915-022-01871-2 

Linhardt, T., & Sen Gupta, A. (2022). Cost-benefit analysis of metavariable variation in convolutional autoencoders applied to acoustic backscattering data from small underwater targets. OCEANS 2022, Hampton Roads, Hampton Roads, VA, USA, pp. 1-4, doi: 10.1109/OCEANS47191.2022.9977333.

Linhardt, T., & Sen Gupta, A. (2022). Empirical analysis of latent space encodings for submerged small target acoustic backscattering data [abstract]. The Journal of the Acoustical Society of America 151, A102. https://doi.org/10.1121/10.0010792

Linhardt, T., & Sen Gupta, A. (2022). Refining the metavariables of convolutional autoencoders for better performance on littoral acoustic backscattering data. The Journal of the Acoustical Society of America 152, A296. https://doi.org/10.1121/10.0016336

Liu, S., Brennecke, B.R., Yang, U., Ankrum, J.A., & Imai Y. (2022). 1458-P: Lipophagy is constitutively active in pancreatic beta cells and maintains insulin secretion. Diabetes 71, Supplement 1, 1458-P. https://doi.org/10.2337/db22-1458-P

Lyons, J., Highland, P., Bos, N., Lyons, D., Skinner, A., Schnell, T., & Hefron, R. (2022). Measuring perceived agent appropriateness in a live-flight human-autonomy teaming scenario. Ergonomics in Design: The Quarterly of Human Factors Applications. https://doi.org/10.1177/10648046221129

Mani, M., Yang, B., Bathla, G., Jacobs, M., & Magnotta, V. (2022). qModeL: A model-based deep learning framework for the recovery of diffusion-based microstructural parameters from healthy and lesion data [Abstract #0512]. Presented at the Joint Annual Meeting ISMRM-ESMRMB, London, England, UK.

Mani, M., Yang, B., Magnotta, V.A., & Jacobs, M. (2022). Rapid multi-shell diffusion MRI enabled by learning compact and rotation invariant q-space representations [Abstract #0768]. Presented at the Joint Annual Meeting ISMRM-ESMRMB, London, England, UK.

McCarthy, R.A., Sen Gupta, A., & Kemerling, M. (2022). Estimation and interpretation of multipath channel activity using braiding techniques [abstract]. The Journal of the Acoustical Society of America 151, A267. https://doi.org/10.1121/10.0011295

Mo, Y., Audrito, G., Dasgupta, S., & Beal, J. (2022). Near-optimal knowledge-free resilient leader election. Automatica 146, 110583. https://doi.org/10.1016/j.automatica.2022.110583

Mo, Y., and Dasgupta, S. (2022). "Small gain conditions for finite time input-to-state stability of interconnected discrete time systems," 2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, pp. 7714-7719, doi: 10.1109/CDC51059.2022.9992807.

Mo, Y., Yu, C., & Dasgupta, S. (2022). Improved small gain conditions for input-to-state stability with respect to measurement functions: Discrete time networked system. 2021 60th IEEE Conference on Decision and Control (CDC), pp. 3875-3880. doi: 10.1109/CDC45484.2021.9683129

Moll, G., Ankrum, J.A., Olson, S.D., & Nolta, J.A. (2022). Improved MSC minimal criteria to maximize patient safety: A call to embrace tissue factor and hemocompatibility assessment of MSC products. Stem Cells Translational Medicine, szab005. https://doi.org/10.1093/stcltm/szab005

Moon, B., & Lee, H. (2022). Drone-image based fast crack analysis algorithm using machine learning for highway pavements. Engineering Proceedings 17, 1, 15. https://doi.org/10.3390/engproc2022017015

Motezaker, M., Xiao, S., Khoei, A.R., & Zakeri J.A. (2022). Studies of frictional sliding contact by molecular dynamics assisted continuum mechanics. Mechanics of Advanced Materials and Structures. https://doi.org/10.1080/15376494.2022.2137885

Otsuka, K., Makihara, K., & Sugiyama, H. (2022). Recent advances in the absolute nodal coordinate formulation: Literature review from 2012 to 2020. Journal of Computational and Nonlinear Dynamics. https://doi.org/10.1115/1.4054113

Parker, D.E., Corum, C.A., Keller, J.H., Magnotta, V.A., & Jacob, M. (2022). A K-space based learning approach to head motion correction for 4D (3D+time) radial sequences [Abstract #4487]. Presented at the Joint Annual Meeting ISMRM-ESMRMB, London, England, UK.

Pramanik, A., & Jacob, M. (2022). Stable and memory-efficient image recovery using monotone operator learning (MOL). https://arxiv.org/pdf/2206.04797.pdf

Raghuram, A., Galloy, A., Nino, M., Sanchez, S., Hickerson, M., Raghavan, S., & Samaniego, E. (2022). 0-004 Mapping wall tension, wall shear stress, and aneurysm wall enhancement in 3D. Journal of NeuroInterventional Surgery 14, A2-A3. http://dx.doi.org/10.1136/neurintsurg-2022-SNIS.4

Rahmatalla, S., Qiao, G., DeShaw, J., & Kinsler, R. (2022). Quantifying supine human discomfort in off-road whole-body vibration. Ergonomics. https://doi.org/10.1080/00140139.2022.2096261

Rusho, R.Z., Haseeb Ahmed, A., Kruger, S., Alam, W., Meyer, D., Howard, D., Titze, I., Jacob, M., & Lingala, S.G. (2022). Rapid dynamic speech imaging at 3 Tesla using combination of a custom vocal tract coil, variable density spirals and manifold regularization. https://arxiv.org/abs/2209.02768 

Rusho, R.Z., Zou, Q., Alam, W., Erattakulangara, S., Jacob, M., & Lingala, S.G. (2022). Accelerated pseudo 3D dynamic speech MR imaging at 3T using unsupervised deep variational manifold learning.  In: Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. MICCAI 2022. Lecture Notes in Computer Science, vol 13436. Springer, Cham. https://doi.org/10.1007/978-3-031-16446-0_66

Rusho, R.Z., Zou, Q., Jacob, M., & Lingala, S.G. (2022). Joint recovery of time aligned multi-slice dynamic speech MR images from under-sampled data using a deep generative manifold model [Abstract #3503]. Presented at the Joint Annual Meeting ISMRM-ESMRMB, London, England, UK.

Russo, J., Fiegel, J., & Brogden, N.K. (2022). Effect of salt form on gelation and drug delivery properties of diclofenac-loaded poloxamer gels for delivery to impaired skin. Pharmaceutical Research 39: 2515-2527. https://doi.org/10.1007/s11095-022-03356-1 

Schrodt, M.V., & Ankrum, J.A. (2022). Chemomechanically antifibrotic stromal cells. Nature Biomedical Engineering 6, 6-7. 

Sen Gupta, A., Kofron, N., & Riherd, E. (2022). Recent results in shallow water acoustic channel estimation and equalization. The Journal of the Acoustical Society of America 152,A40. https://doi.org/10.1121/10.0015469

Sen Gupta, A., Kubicek, B., & Kirsteins, I. (2022). Sonar acoustic feature interpretation using braid manifolds [abstract]. The Journal of the Acoustical Society of America 151, A102. https://doi.org/10.1121/10.0010790

Scholp, A.J., Jensen, J., Chinnathambi, S., Atluri, K., Mendenhall, A., Fowler, T., Salem, A.K., Martin, J.A., & Sander, E.A. (2022). Force-bioreactor for assessing pharmacological therapies for mechanobiological targets. Frontiers in Bioengineering and Biotechnology 10, 907611. https://doi.org/10.3389/fbioe.2022.907611

Sellers, I.R., & Toor, F. (2022). Special section guest editorial: Novel photovoltaic device architectures. Journal of Photonics for Energy12(3).

Sullivan, C., Yamashita, H., & Sugiyama, H. (2022). Reduced order modeling of deformable tire-soil interaction with proper orthogonal decomposition. Journal of Computational and Nonlinear Dynamics. https://doi.org/10.1115/1.4053592

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Williams, T.J., & Beckermann, C. (2022). Benchmark Al-Cu solidification experiments in microgravity and on Earth. Metallurgical and Materials Transactions A 54: 405–422.

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Zaman, F.A., Zhang, L., Zhang, H., Sonka, M., & Wu, X. (2022). Segmentation quality assessment by automated detection of erroneous surface regions in medical images.IEEE Transactions on Medical Imaging. https://doi.org/10.36227/techrxiv.19767661.v1 

Zhu, D., Wu, X., & Yang, T. (2022). Benchmarking deep AUROC optimization: Loss functions and algorithmic choices. https://arxiv.org/abs/2203.14177 

Zou, Q., Ahmed, A.H., Nagpal, P., Priya, S., Schulte, R.F., & Jacob, M. (2022). Alignment and joint recovery of multi-slice free-breathing cardiac cine using manifold learning [Abstract #1002]. Presented at the Joint Annual Meeting ISMRM-ESMRMB, London, England, UK.

Zou, Q., & Jacob, M. (2022). Joint cardiac T₁ mapping and cardiac function estimation using a deep manifold framework. https://arxiv.org/abs/2205.07994

Zou, Q., Torres, L.A., Fain, S.B., & Jacob, M. (2022). High-resolution dynamic 3D UTE Lung MRI using motion-compensated manifold learning [Abstract #0661]. Presented at the Joint Annual Meeting ISMRM-ESMRMB, London, England, UK.

Aggarwal, H.K., & Jacob, M. (2021). Model adaptation for image reconstruction using Generalized Stein's Unbiased Risk Estimator. arXiv preprint arXiv:2102.00047

Aggarwal, H.K., Pramanik, A., & Jacob, M. (2021). ENSURE: Ensemble Stein’s Unbiased Risk Estimator for Unsupervised Learning. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1160-1164. doi: 10.1109/ICASSP39728.2021.9414513.

Ahmed, A.H., Nagpal, P., & Jacob, M. (2021). Dynamic deep imaging using deep bi-linear unsupervised regularization (DEBLUR). arXiv preprint arXiv:2106.15785

Ahmed, A.H., Nagpal, P., Kruger, S., & Jacob, M. (2021). Dynamic imaging using deep bilinear unsupervised learning (Deblur). 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1099-1102, doi: 10.1109/ISBI48211.2021.9433882.

Al-Bazoon, M., & Arora, J.S. (2021). Discrete variable optimization of structures subjected to dynamic loads using equivalent static loads and metaheuristic algorithms. Optimization and Engineering. https://doi.org/10.1007/s11081-021-09599-y

Attarian, S., & Xiao, S. (2021). Development of a 2NN-MEAM potential for TiB system and studies of the temperature dependence of the nanohardness of TiB2. Computational Materials Science 201, 110875.

Cai, M., Hasanbeig, M., Xiao, S., Abate, A., & Kan, Z. (2021). Modular deep reinforcement learning for continuous motion planning with temporal logic. IEEE Robotics and Automation Letters 6(4), 7973-7980. 

Cai, M., Xiao, S., Li, Z., & Kan, Z. (2021). Optimal probabilistic motion planning with potential infeasible LTL constraints. arXIv: 2007.14325.

Cai, M., Xiao, S., Li, Z., & Kan, Z. (2021). Reinforcement learning based temporal logic control with soft constraints using limit-deterministic Büchi automata. eprint arXiv: 2101.10284.

Cai, M., Xiao, S., Li, B., Li, Z., & Kan, Z. (2021). Reinforcement learning based temporal logic control with maximum probabilistic satisfaction. 2021 IEEE International Conference on Robotics and Automation (ICRA), 806-812.

Chen, G., Yamashita H., Ruan, Y., Jayakumar, P., Knap, J., Leiter, K., Yang, X., & Sugiyama, H. (2021). Enhancing hierarchical multiscale off-road mobility model by neural network surrogate model. Journal of Computational and Nonlinear Dynamics 16(8), 081005.

Chen, X., Wang, J., Xu, X., Zhou, M., Zhang, H., Castro Garcia, L. et al. (2021). First retrieval of absorbing aerosol height over dark target using TROPOMI oxygen B band: Algorithm development and application for surface particulate matter estimates. Remote Sensing of Environment 265, 112674.

Chen, X., Xu, X., Wang, J., & Diner, D.J. (2021). Can multi-angular polarimetric measurements in the oxygen-A and B bands improve the retrieval of aerosol vertical distribution? Journal of Quantitative Spectroscopy and Radiative Transfer 270, 107679.

Cheng, C., & Bai, E. (2021). Variable selection based on squared derivative averages. Automatica 127, 109491. https://doi.org/10.1016/j.automatica.2021.109491

Cheng, C., Bai, E., & Peng, Z. (2021). Identification of sparse volterra systems. IEEE Transactions on Automatic Control.

Corrigan, R.A., Qi, G., Thiel, A.C., Lynn, J.R., Walker, B.D., Casavant, T.L., ... Schnieders, M.J. (2021). Implicit solvents for the polarizable atomic multipole AMOEBA force field. Journal of Chemical Theory and Computation 17(4), 2323-2341.

Dasgupta, B., & Dasgupta, S. (2021). Erratum of "A Hermitian analogue of the Morita theorems." Communications in Algebra 49(2).

Dixler, S., Jahanbin, R., & Rahman, S. (2021). Uncertainty quantification by optimal spline dimensional decomposition. International Journal for Numerical Methods in Engineering 122(20), 5898-5934.

Fei, F., He, L., Kirby, L., & Song, X. (2021). Study of droplet diffusion in hydrothermal-assisted transient jet fusion of ceramics. Journal of Manufacturing Science and Engineering 143(5), 051001.

Fei, F., Kotak, P., He, L., Li, X., Vanderhoef, C., Lamuta, C., & Song, X. (2021). Cephalopod-inspired stretchable self-morphing skin via embedded printing and twisted spiral artificial muscles. Advanced Functional Materials. https://doi.org/10.1002/adfm.202105528

Feng, F., Han, W., & Huang, J. (2021). The virtual element method for an elliptic hemivariational inequality with convex constraint. Numerical Mathematics: Theory, Methods & Applications 14(3), 589-612.

Feng, F., Han, W., & Huang, J. (2021). The virtual element method for an obstacle problem of a Kirchhoff-Love plate. Communications in Nonlinear Science and Numerical Simulation. https://doi.org/10.1016/j.cnsns.2021.106008

Fiegel, J., Rundlett, B., Bradley, A.A. Jr., Murhammer, K.R. (2021). Piloting an ethics choose-your-own adventure activity in early engineering education. 2021 ASEE Virtual Annual Conference. 

Gao, B., Walhof, A.C., Laird, D.A., Toor, F., & Prineas, J. (2021). Analytical evaluation of mobile in situ soil nitrate infrared sensor designs for precision agriculture. IEEE Sensors Journal. DOI: 10.1109/JSEN.2021.3096856

Gao, J., Han, W., He, Y., Zhao, H., Li, H., Zhang, Y., & Xu, Z. (2021). Seismic wave equations in tight oil/gas sandstone media. Science China Earth Sciences 64, 377-387.

Gao, Y., Wu, T., Wang, J., & Tang, S. (2021). Evaluation of GPM dual-frequency precipitation radar (DPR) rainfall products using the rain gauge network over China. Journal of Hydrometeorology 22(3), 547-559.

Gomes, V.C., da Silva, L.F.F., Raghavan, M.L., Gomes, J., Silvestre, G.C., Queiroz, A., et al. (2021). Biomechanical and histological data from abdominal aortas harvested in autopsy. Data in Brief 35, 106953. https://doi.org/10.1016/j.dib.2021.106953

Gomes, V.C., Raghavan, M.L., da Silva, L.F.F., Gomes, J., Silvestre, G.C., Queiroz, A., et al. (2021). Experimental study of rupture pressure and elasticity of abdominal aortic aneurysms found at autopsy. Annals of Vascular Surgery 70, 517-527. https://doi.org/10.1016/j.avsg.2020.08.111

Guerra, F.V., Archer, L., Hardin, R.A., & Beckermann, C. (2021). Measurement of air entrainment during pouring of an aluminum alloy. Metallurgical and Materials Transactions B 52(1), 123-137.

Han, W. (2021). A revisit of elliptic variational-hemivariational inequalities. Numerical Functional Analysis and Optimization 42(4), 371-395.

Han, W., Czuprynski, K., & Jing, F. (2021). Mixed finite element method for a hemivariational inequality of stationary Navier–Stokes equations. Journal of Scientific Computing 89(8). 

Han, W., & Matei, A. (2021). Minimax principles for elliptic mixed hemivariational-variational inequalities. Nonlinear Analysis: Real World Applications 64, 103448.

Han, W., Song, C., Wang, F., & Gao, J. (2021). Numerical analysis of the diffusive-viscous wave equation. Computers & Mathematics with Applications 102, 54-64.

Han, W., & Wang, C. (2021). Numerical analysis of a parabolic hemivariational inequality for semipermeable media. Journal of Computational and Applied Mathematics 389, 113326.

He, L., Han, W., Wang, F., & Cai, W. (2021). Unconditional stability and optimal error estimates of discontinuous Galerkin methods for the second-order wave equation. Applicable Analysis 100(6), 1143-1157.

He, L., Han, W., & Wang, F. (2021). On a family of discontinuous Galerkin fully-discrete schemes for the wave equation. Computational and Applied Mathematics 40(2), 1-24.

He, L., Wang, X., Fei, F., Chen, L., & Song, X. (2021). Selectively doped piezoelectric ceramics with tunable piezoelectricity via suspension-enclosing projection stereolithography. Additive Manufacturing, 102407. https://doi.org/10.1016/j.addma.2021.102407

He, X., Avril, S., & Lu, J. (2021). Estimating aortic thoracic aneurysm rupture risk using tension–strain data in physiological pressure range: an in vitro study. Biomechanics and Modeling in Mechanobiology 20(2), 683-699.

He, X., Avril, S., & Lu, J. (2021). Prediction of local strength of ascending thoracic aortic aneurysms. Journal of the Mechanical Behavior of Biomedical Materials 115, 104284. https://doi.org/10.1016/j.jmbbm.2020.104284

Highland, P., Harp, D., Schnell, T., Geiseln, E., & Havig, P. (2021). The customer is always right...towards Rhino pointing and eye tracking interfaces for combat aviators. 48th International Symposium on Aviation Psychology, 86-91.

Hinz, B.E., Walker, S.G., Xiong, A., Gogal, R.A., Schnieders, M.J., & Wallrath, L.L. (2021). In silico and in vivo analysis of amino acid substitutions that cause laminopathies. International Journal of Molecular Sciences 22(20), 11226.

Huang, W., Ordikhani-Seyedlar, R., Samanta, A., Shaw, S., & Ding, H. (2021). Quantification of superhydrophic functionalization for laser textured metal surfaces. Colloids and Surfaces A: Physicochemical and Engineering Aspects 636, 128126. https://doi.org/10.1016/j.colsurfa.2021.128126

Huang, W., Samanta, A., Chen, Y., Baek, S., Shaw, S.K., & Ding, H. (2021). Machine learning model for understanding laser superhydrophobic surface functionalization. Journal of Manufacturing Processes 69, 491-502. https://doi.org/10.1016/j.jmapro.2021.08.007

Israelson, B., Wu, P., Woodruff, K., Avdic-McIntire, G., Radlbeck, A., McLean, A., Highland, P., Schnell, T., Javorsek, D. (2021). Introducing SMRTT: A structural equation model of multimodal real-time trust. HRI '21 Companion: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 126-130. 

Jahanbin, R., & Rahman, S. (2021). Isogeometric methods for Karhunen-Loeve representation of random fields on arbitrary multipatch domains. International Journal for Uncertainty Quantification 11(3), 27-57.

Jana, S., Olszta, M., Edwards, D., Engelhard, M., Samanta, A., Ding, H. et al. (2021). Microstructural basis for improved corrosion resistance of laser surface processed AZ31 Mg alloy. Corrosion Science. DOI: 10.1016/j.corsci.2021.109707

John, M., Aggarwal, H.K., Zou, Q., & Jacob, M. (2021). Deep image prior using Stein's unbiased risk estimator: SURE-DIP. arXiv:2111.10892

Joy, A., Jacob, M., & Paul, J.S. (2021). Compressed sensing MRI using an interpolation‐free nonlinear diffusion model. Magnetic Resonance in Medicine 85(3), 1681-1696. https://doi.org/10.1002/mrm.28493

Karimpour, A., & Rahmatalla, S. (2021). Extended Empirical Wavelet Transformation: Application to structural updating. Journal of Sound and Vibration 500, 116026.

Karimpour, A., Rahmatalla, S., & Ghadikolaee, H. (2021). Finite element model-based weight-over process philosophy for bridge loading capacity evaluation and rating factor estimation. Advances in Civil Engineering 2021, 2244202. https://doi.org/10.1155/2021/2244202

Kemerling, M., & Sen Gupta, A. (2021). Interpreting the underwater acoustic channel impulse response and Doppler spread using braid representations. Proceedings of SYMPOL 2021.

Kletzing, C.A., Gupta, A.S., Christopher, I.W., & McCarthy, R. (2021). Chorus element properties: Statistics from automated chorus detection. 2021 International Conference on Electromagnetics in Advanced Applications (ICEAA), 150-150. doi: 10.1109/ICEAA52647.2021.9539574

Kubicek, B., Sen Gupta, A., Kirsteins, I. (2021). Active sonar target classification using a physics-cognizant feature representation. The Journal of the Acoustical Society of America 149(4), A55-A66.

Larson, E., Hines, M., Tanas, M., Miller, B., Coleman, M., & Toor, F. (2021). Mid-infrared absorption by soft tissue sarcoma and cell ablation using a mid-infrared interband cascade laser. Journal of Biomedical Optics 26(4), 045012.

Lee, D., & Rahman, S. (2021). Robust design optimization under dependent random variables by a generalized polynomial chaos expansion. Structural and Multidisciplinary Optimization 63, 2425-2457.

Li, N., Tang, K., Wang, Y., Wang, J., Feng, W., Zhang, H. et al. (2021). Is the efficacy of satellite-based inversion of SO₂ emission model dependent? Environmental Research Letters 16(3), 035018.

Li, R., Tao, M., Zhang, M., Chen, L., Wang, L., Wang, Y., ... Wang, J. (2021). Application potential of satellite thermal anomaly products in updating industrial emission inventory of China. Geophysical Research Letters 48(8), e2021GL092997.

Li, X., Walhof, A.C., Dai, W., Arlsan, I., Liu, Y., Toor, F., & Prineas, J.P. (2021). Enhanced radiative and thermal properties from surface encapsulation of InAs nanowires. Optical Materials Express 11(3), 719-728. 

Li, Z., Cai, M., Xiao, S., & Kan, Z. (2021). Online motion planning with soft timed temporal logic in dynamic and unknown environment. arXiv: 2110.09007.

Ling, M., & Han, W. (2021). Minimization principle in study of a Stokes hemivariational inequality. Applied Mathematics Letters 121, 107401.

Ling, M., & Han, W. (2021). Well-posedness analysis of a stationary Navier–Stokes hemivariational inequality. Fixed Point Theory and Algorithms for Sciences and Engineering 2021(22). https://doi.org/10.1186/s13663-021-00707-2

Mani, M., Magnotta, V.A., & Jacob, M. (2021). qModeL: A plug-and-play model-based reconstruction for highly accelerated multi-shot diffusion MRI using learned priors. Magnetic Resonance in Medicine 86(2), 835-851. https://doi.org/10.1002/mrm.28756

Mani, M., Yang, B., Bathla, B., Magnotta, V.A., & Jacob, M. (2021). Multi-band- and in-plane-accelerated diffusion MRI enabled by model-based deep learning in q-space and its extension to learning in the spherical harmonic domain. Magnetic Resonance in Medicine. doi:10.1002/mrm.29095

Marques, T., Santiago, Y., Reno, M., Maya, D., Sphaier, L., Shi, Y., & Ratner, A. (2021). Environmental and energetic evaluation of refuse-derived fuel gasification for electricity generation. Processes 9(12), 2255. https://doi.org/10.3390/pr9122255

Maya, D.M.Y., Lora, E.S., Andrade, R.V., Ratner, A., & Martinez, J.D. (2021). Biomass gasification using mixtures of air, saturated steam, and oxygen in a two-stage downdraft gasifier. Assessment using a CFD modeling approach. Renewable Energy 177, 1014-1030.

McCarthy, R.A., & Sen Gupta, A. (2021). Employing and interpreting a machine learning target-cognizant technique for analysis of unknown signals in multiple reaction monitoring. IEEE Access 9, 24727-24737.

McCarthy, R.A., & Sen Gupta, A. (2021). Underwater channel estimation exploiting multipath feature morphology. The Journal of the Acoustical Society of America 149(2), 983-996.

McCarthy, R.A., Sen Gupta, A., & Kemerling, M. (2021). Autonomous learning and interpretation of channel multipath scattering using braid manifolds in underwater acoustic communications. The Journal of the Acoustical Society of America 150(2), 906-919. 

McKee, A., Samanta, A., Rassoolkhani, A., Koonce, J., Huang, W., Fields, J., Shaw, S.K., Gomes, J., Ding, H., & Mubeen, S. (2021). Effect of silver electrode wetting state on oxygen reduction electrochemistry. Chemical Communications. DOI: 10.1039/D1CC01438B 

Mela, C.A., Papay, F.A., & Liu, Y. (2021). Enhance fluorescence imaging and remove motion artifacts by combining pixel tracking, interleaved acquisition, and temporal gating. IEEE Photonics Journal 13(1). doi: 10.1109/JPHOT.2021.3055809.

Mela, C.A., Papay, F.A., & Liu, Y. (2021). Novel multimodal, multiscale imaging system with augmented reality. Diagnostics, 11(3), 441; doi.org/10.3390/diagnostics11030441.

Migórski, S., Han, W., & Zeng, S. (2021). A new class of hyperbolic variational-hemivariational inequalities driven by non-linear evolution equations. European Journal of Applied Mathematics 32(1), 59-88.

Mishra, A., Liu, S., Promes, J., Harata, M., Sivitz, W., Fink, B., Bhardwaj, G., ... Ankrum J. et al. (2021). Perilipin 2 downregulation in β cells impairs insulin secretion under nutritional stress and damages mitochondria. JCI Insight 6(9).

Mo, Y., Dasgupta, S., & Beal, J. (2021). A Lyapunov analysis of a most probable path finding algorithm. IEEE Control Systems Letters 6, 1052-1057.

Mo, Y., Dasgupta, S., & Beal, J. (2021). Stability and resilience of distributed information spreading on aggregate computing. arXiv:2102.10319

Moghram, W.I., Kruger, A., Sander, E.A., & Selby, J.C. (2021). Magnetic tweezers with magnetic flux density feedback control. Review of Scientific Instruments 92, 034101. 

Moghram, W.I., Singh, P., VandeLune, C.A., Sander, E.A., & Selby, J.C. (2021). Integration of magnetic tweezers and traction force microscopy for the exploration of matrix rheology and keratinocyte mechanobiology: Model force- and displacement-controlled experiments. AIP Advances 11(4), 045216-045216-22.

Moon, B., Bozorgzad, A., Lee, H.D., Kwon, S.A., Jeong, K.D., & Cho, N.J. (2021). Development of Warm In-Place Recycling technique as an eco-friendly asphalt rehabilitation method. Infrastructures 6(7), 101. https://doi.org/10.3390/infrastructures6070101

Nascimento, F.R.M., González, A.M., Lora, E.E.S., Ratner, A., Palacio, J.C.E., & Reinaldo, R. (2021). Bench-scale bubbling fluidized bed systems around the world - Bed agglomeration and collapse: A comprehensive review. International Journal of Hydrogen Energy 46(36), 1840-18766.

Paulos, A., Dasgupta, S., Beal, J., Mo, Y., Schewe, J., Wald, A., et al. (2021). Priority-enabled load balancing for dispersed computing. 2021 IEEE 5th International conference on Fog and Edge Computing, 1-8. doi: 10.1109/ICFEC51620.2021.00009.

Peng, Y., Zheng, H., Zaman, F., Zhang, L., Wu, X., Sonka, M., & Chen, D.Z. (2021). KCB-Net: A 3D knee cartilage and bone segmentation network via sparse annotation. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.16611568.v1

Podolsky, J.H., Arabzadeh, A., Saw, B., Williams, R.C., Cochran, E.W., & Lee, H. (2021). Performance of field produced rejuvenated 30% RAP surface mix in Northwest Iowa. Road Materials and Pavement Design. https://doi.org/10.1080/14680629.2021.1898451

Polzer, S., Kracik, J., Novotný, T., Kubíček, L., Staffa, R., & Raghavan, M.L. (2021). Methodology for estimation of annual risk of rupture for abdominal aortic aneurysm. Computer Methods and Programs in Biomedicine 200, 105916. https://doi.org/10.1016/j.cmpb.2020.105916

Polzer, S., Man, V., Vlachovský, R., Kubíček, L., Kracik, J., Staffa, R., Novotný, T., Burša, J., & Raghavan, M.L. (2021). Failure properties of abdominal aortic aneurysm tissue are orientation dependent, Journal of the Mechanical Behavior of Biomedical Materials 114, 104181. https://doi.org/10.1016/j.jmbbm.2020.104181

Pramanik, A., & Jacob, M. (2021). Reconstruction and segmentation of parallel MR data using image domain deep-SLR. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, 1095-1098. doi: 10.1109/ISBI48211.2021.9434056.

Pramanik, A., & Jacob, M. (2021). Improved model based deep learning using monotone operator learning (MOL). arXIV:2111.11380

Pramanik, A., Wu, X., & Jacob, M. (2021). Joint calibrationless reconstruction and segmentation of parallel MRI. arXiv preprint arXiv:2105.09220

Priya, S., Aggarwal, T., Ward, C., Bathla, G., Jacob, M., Gerke, A., Hoffman, E.A., & Nagpal, P. (2021). Cardiac MRI derived radiomics based machine learning (ML) models in identifying pulmonary hypertension (PH)-Impact of segmentation, radiomics side experiments and DAFIT approach on model performance. https://doi.org/10.21203/rs.3.rs-242269/v1

Priya, S., Aggarwal, T., Ward, C., Bathla, G., Jacob, M., Gerke, A., Hoffman, E.A., & Nagpal, P. (2021). Radiomics detection of pulmonary hypertension via texture-based assessments of cardiac MRI: A machine-Learning model comparison—Cardiac MRI radiomics in pulmonary hypertension. Journal of Clinical Medicine 10(9), 1921. https://doi.org/10.3390/jcm10091921

Priya, S., Aggarwal, T., Ward, C., Bathla, G., Jacob, M., Gerke, A., Hoffman, E.A., & Nagpal, P. (2021). Radiomics side experiments and DAFIT approach in identifying pulmonary hypertension using Cardiac MRI derived radiomics based machine learning models. Scientific Reports 11(1), 1-13.

Qi, G., Tollefson, M.R., Gogal, R.A., Smith, R.J.H., AlQuraishi, M., & Schnieders, M.J. (2021). Protein structure prediction using a maximum likelihood formulation of a recurrent geometric network. bioRxiv preprint. https://doi.org/10.1101/2021.09.03.458873 

Qiao, G., & Rahmatalla, S. (2021). Dynamics of Euler-Bernoulli beams with unknown viscoelastic boundary conditions under a moving load. Journal of Sound and Vibration 491, 115771.

Qiao, G., & Rahmatalla, S. (2021). Dynamics of interaction between an Euler-Bernoulli beam and a moving damped sprung mass: Effect of beam surface roughness. Structures 32, 2247-2265.

Qiao, G., & Rahmatalla, S. (2021). Influences of elastic supports on moving load identification of Euler-Bernoulli beams using angular velocity. Journal of Vibration and Acoustics 143(4), 041010.

Qiao, G., & Rahmatalla, S. (2021). Moving load identification on Euler-Bernoulli beams with viscoelastic boundary conditions by Tikhonov regularization. Inverse Problems in Science and Engineering 29(8), 1070-1107.

Quang, T.T., Chen, W.F., Papay, F.A., & Liu, Y. (2021). Dynamic, real-time, fiducial-free surgical navigation with integrated multimodal optical imaging. IEEE Photonics Journal 13(1). doi: 10.1109/JPHOT.2020.3042269.

Raghuram, A., Varon, A., Roa, J.A., Ishii, D., Lu, Y., Raghavan, M.L., Wu, C., Magnotta, V.A., Hasan, D.M., Koscik, T.R., & Samaniego, E.A. (2021). Semiautomated 3D mapping of aneurysmal wall enhancement with 7T-MRI. Scientific Reports 11, 18344. 

Rahman, S., & Jahanbin, R. (2021). Orthogonal spline expansions for uncertainty quantification in linear dynamical systems. Journal of Sound and Vibration, 116366.

Rahmatalla, S. (2021). Prehospital Transport and Whole-Body Vibration. Elsevier.

Rahmatalla, S., Kinsler, R., Qiao, G., DeShaw, J., & Mayer, A. (2021). Effect of gender, stature, and body mass on immobilized supine human response during en route care transport. Journal of Low Frequency Noise, Vibration and Active Control 40(1), 3-17.

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Karimpour, A., Rahmatalla, S., & Markfort, C. (2020). Identification of damage parameters during flood events applicable to multi-span bridges. Journal of Civil Structural Health Monitoring 10(5), 973–985.

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