Penley, D., Vicchio, S., Getman, R., & Gurkan, B.(2021).Energetics of Li+ Coordination with Asymmetric Anions in Ionic Liquids by Density Functional Theory. Frontiers in Energy Research, 9(570). DOI: 10.3389/fenrg.2021.725010
Gaur, S., Edgehouse, K., Klemm, A., Wei, P., Gurkan, B., & Pentzer, E.(2021).Capsules with polyurea shells and ionic liquid cores for CO2 capture. Journal of Polymer Science,(). DOI: 10.1002/pol.20210342
Hnat, S., Audu, M. L., Triolo, R., & Quinn, R. D.(2021).Estimating Center of Mass Kinematics During Perturbed Human Standing Using Accelerometers. Journal of Applied Biomechanics,().
Alfurayi, I., Fraenza, C., Zhang, Y., Pandian, R., Spittle, S., Hansen, B., ... Burda, C.(2021).Solvation Dynamics of Wet Ethaline: Water is the Magic Component. The Journal of Physical Chemistry B, 125(31), 8888-8901. DOI: 10.1021/acs.jpcb.1c04629
Friederich, A., Audu, M. L., & Triolo, R.(2021).Characterization of the Force Production Capabilities of Paralyzed Trunk Muscles Activated with Functional Neuromuscular Stimulation in Individuals with Spinal Cord Injury. IEEE Transactions on Biomedical Engineering, 68(8), 2389-2399.
Sevgi, D., Srivastava, S., Whitney, J., O’Connell, M., Sil Kar, S., Hu, M., ... Ehlers, J.(2021).Characterization of Ultra-widefield Angiographic Vascular Features in Diabetic 2 Retinopathy with Automated Severity Classification. Ophthalmology Science,(). DOI: 10.1016/j.xops.2021.100049
Miao, R., Toth, R., Zhou, Y., Madabhushi, A., & Janowczyk, A.(2021).Quick Annotator: an open-source digital pathology based rapid image annotation tool. The Journal of Pathology: Clinical Research,(). DOI: 10.1002/cjp2.229
Sil Kar, S., Sevgi, D., Dong, V., Srivastava, S., Madabhushi, A., & Ehlers, J.(2021).Multi-Compartment Spatially-derived Radiomics from Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary Findings. IEEE Journal of Translational Engineering in Health and Medicine,().
Hiremath, A., Shiradkar, R., Fu, P., Mahran, A., Rastinehad, A., Tewari, A., ... Madabhushi, A.(2021).An integrated nomogram combining deep learning, Prostate Imaging–Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study. The Lancet Digital Health, 3(7), E445 - E454. DOI: 10.1016/S2589-7500(21)00082-0
Schömig-Markiefka , B., Pryalukhin, A., Hulla, W., Bychkov, A., Fukuoka, J., Madabhushi, A., ... Tolkach, Y.(2021).Quality control stress test for deep learning-based diagnostic model in digital pathology. Modern Pathology,(). DOI: 10.1038/s41379-021-00859-x
Lu, C., Koyuncu, C., Janowczyk, A., Griffith, C., Chute, D., Lewis, J., ... Madabhushi, A.(2021).Deep Learning-Based Cancer Region Segmentation from H&E Slides for HPV-Related Oropharyngeal Squamous Cell Carcinomas. Springer International Publishing,().
Alilou, M., Prasanna, P., Bera, K., Gupta, A., Rajiah, P., Yang, M., ... Madabhushi, A.(2021).A Novel Nodule Edge Sharpness Radiomic Biomarker Improves Performance of Lung-RADS for Distinguishing Adenocarcinomas from Granulomas on Non-Contrast CT Scans. Cancers, 13(11), 2781. DOI: 10.3390/cancers13112781
Curran, A., Colvin, D., Iqbal, N., Davis, K., Moran, T., Huey, B., ... Bruckman, L.(2021).Degradation of PERC and Al-BSF Cells with UV Cutoff and White Variations of EVA and POE Encapsulant. ,().
Coston, J., Robinson, C., King, B., \customboldJ. L. Braid, Riley, D., & Goldstein, L.(2021).Effects of Solar Angle of Incidence on Intramodular Photovoltaic Irradiance Uniformity. ,().
Yuhnke, Jr., B., Jaubert, J., Wu, H., Wu, X., Jiang, F., Zhang, G., ... \customboldJ. L. Braid(2021).Impact of surface passivation on UV stability of bifacial mc-Si PERC solar modules. IEEE,().
Nihar, A., Curran, A., Karimi, A., \customboldJ. L. Braid, Bruckman, L., Koyutürk, M., ... Wu, Y.(2021).Toward Findable, Accessible, Interoperable and Reusable (FAIR) Photovoltaic System Time Series Data. ,().
Leo, P., Janowczyk, A., Elliott, R., Janaki, N., Bera, K., Shiradkar, R., ... Madabhushi, A.(2021).Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study. NPJ Precision Oncology, 5(1), 35. DOI: 10.1038/s41698-021-00174-3
Mazumder, R., Salman, A., Li, Y., & Yu, X.(2021).Asset Management Decision Support Model for Water Distribution Systems: Impact of Water Pipe Failure on Road and Water Networks. Journal of Water Resources Planning and Management, ASCE, 147(5), 04021022.
Khorrami, M., Bera, K., Thawani, R., Rajiah, P., Gupta, A., Fu, P., ... Madabhushi, A.(2021).Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans. European Journal of Cancer, 148(), 146 - 158. DOI: 10.1016/j.ejca.2021.02.008
Leo, P., Chandramouli, S., Farre, X., Elliott, R., Janowczyk, A., Bera, K., ... Madabhushi, A.(2021).Computationally Derived Cribriform Area Index from Prostate Cancer Hematoxylin and Eosin Images Is Associated with Biochemical Recurrence Following Radical Prostatectomy and Is Most Prognostic in Gleason Grade Group 2. European Urology Focus,(). DOI: 10.1016/j.euf.2021.04.016
Eck, B., Chirra, P., Muchhala, A., Hall, S., Bera, K., Tiwari, P., ... Viswanath, S. E.(2021).Prospective Evaluation of Repeatability and Robustness of Radiomic Descriptors in Healthy Brain Tissue Regions In Vivo Across Systematic Variations in T2-Weighted Magnetic Resonance Imaging Acquisition Parameters. Journal of Magnetic Resonance Imaging (JMRI),(). DOI: 10.1002/jmri.27635
Gong, X., Zhao, B., Manas-Zloczower, I., & Feke, D. L.(2021).Effect of curing bath conditions on the morphology and structure of poly(high internal phase emulsion) fibers. Journal of Applied Polymer Science, 138(11), 50019.
Gong, X., Zhao, B., Manas-Zloczower, I., & Feke, D. L.(2021).Effect of curing bath conditions on the morphology and structure of poly(high internal phase emulsion) fibers. Journal of Applied Polymer Science, 138(11).
Atta-Fosu, T., LaBarbara, M., Ghose, S., Schoenhagen, P., Saliba, W., Tchou, P., ... Madabhushi, A.(2021).A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT. BMC Medical Imaging, 21(1), 45. DOI:
Freeman, B., Maji, D., Nrasimhan, S., Ahuja, S., Little, J., Suster, M., ... Gurkan, U.(2021).Microfluidic electrical impedance assessment of red blood cell-mediated microvascular occlusion.. Lab on a chip,().
Ke, K., Yue, L., Shao, H., Yang, M., Yang, W., & Manas-Zloczower, I.(2021).Boosting Electrical and Piezoresistive Properties of Polymer Nanocomposites via Hybrid Carbon Fillers: A Review. Carbon, 173(), 1020-1040. DOI: 10.1016/j.carbon.2020.11.070
Song, Y., Wu, H., Wen, D., Zhu, H., Graner, P., Ciancibello, L., ... Wilson, D. L.(2021).Detection of coronary calcifications with dual energy chest X-rays: clinical evaluation.. The international journal of cardiovascular imaging, 37(3), 767-774.
Firouznia, M., Feeney, A., LaBarbera, M., McHale, M., Cantlay, C., Kalfas, N., ... Madabhushi, A.(2021).Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation. Circulation: Arrhythmia and Electrophysiology, 14(3), e009265.
Gong, X., Sang, Z., Guo, H., Ke, K., Manas-Zloczower, I., & Feke, D. L.(2021).Piezoresistive Strain Sensors Based on Psyllium-Carbon Nanostructure Skeletons. Composites B, 209(), 108610.
Mazumder, R., Salman, A., & Li, Y.(2021).Post-Disaster Sequential Recovery Planning for Water Distribution Systems Using Topological and Hydraulic Metrics. Journal of Structure and Infrastructure Engineering,().
Niu, X., & Gao, X.(2021).Static Output Feedback Control of a Chain of Integrators with Input Constraints Using Multiple Saturations and Delays. Automatica, 125(), 1-8. DOI: 10.1016/j.automatica.2020.109457
Zhou, K., Greenspan, H., Davatzikos, C., Duncan, J., Van Ginneken, B., Madabhushi, A., ... Summers, R.(2021).A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. Proceedings of the IEEE, 109(5), 820 - 838. DOI: 10.1109/JPROC.2021.3054390
Cai, Z., Skabeev, A., Morozova, S., & Pham, J.(2021).Fluid separation and network deformation in wetting of soft and swollen surfaces. Communications Materials, 2().
