Jiantie Xu

Publications

Ding, X., Xu, J., Sun, Y., Yao, L., & Mao, B. (2022). Coordinated frequency control for isolated power systems with high penetration of DFIG-based wind power. CSEE Journal of Power and Energy Systems.
Sunday, M., Xu, J., Zhu, H., Yu, X., & Yang, J. (2020). Clinical presentation and management of acquired thrombotic thrombocytopenic purpura: a case series of 55 patients.. Therapeutic apheresis and dialysis : official peer-reviewed journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy.
Hasan, M., Fraiwan, A., Nrasimhan, S., Alapan, Y., Adelung, R., Akkus, A., Xu, J., Rezac, A., Kocmich, N., Creary, M., Oginni, T., Olanipekun, G., Hassan-Hanga, F., Jibir, B., Gambo, S., Verma, A., Bharti, P., Riolueang, S., Ngimhung, T., Suksangpleng, T., Thota, P., Werner, G., Shanmugam, R., Adas, S., Viprakasit, V., Piccone, C., Little, J., Obaro, S., & Gurkan, U. (2020). Paper-based microchip electrophoresis for point-of-care hemoglobin testing.. The Analyst, 145 (7), 2525-2542.
Xu, J., Mahmood, J., Dou, Y., Dou, S., Lin, F., Dai, L., & Baek, J. (2017). 2D Frameworks of C 2 N and C 3 N as New Anode Materials for Lithium-Ion Batteries. Advanced Materials, 29 (34).
Qie, L., Lin, Y., Connell, J., Xu, J., & Dai, L. (2017). Highly Rechargeable Lithium-CO 2 Batteries with a Boron- and Nitrogen-Codoped Holey-Graphene Cathode. Angewandte Chemie - International Edition, 56 (24), 6970-6974.
Lu, W., Xu, Y., Xu, J., Gilmore, H., Mandal, M., & Madabhushi, A. (2016). Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images.. Scientific reports, 6 , 33985.
Shui, J., Lin, Y., Connell, J., Xu, J., Fan, X., & Dai, L. (2016). Nitrogen-Doped Holey Graphene for High-Performance Rechargeable Li–O2Batteries. ACS Energy Letters, 1 (1), 260-265.
Xu, J., Luo, R., Wang, P., Gilmore, H., & Madabhushi, A. (2016). A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images.. Neurocomputing, 191 , 214-223.
Cui, T., Sun, Y., Xu, J., & Zhang, H. (2016). Excitation Voltage Control for Emergency Frequency Regulation of Island Power Systems Integrated with Voltage-Dependent Loads. IEEE Trans. on Power Systems, 31 (2), 1204-1217.
Xu, J., Xiang, L., Liu, Q., Gilmore, H., Wu, J., Stangl, J., & Madabhushi, A. (2016). Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images.. IEEE transactions on medical imaging, 35 (1), 119-30.
Xu, J., Xiang, L., Wang, P., Ganesan, S., Feldman, M., Shih, N., Gilmore, H., & Madabhushi, A. (2015). Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 46 Pt 1 , 20-9.
Agner, S., Xu, J., & Madabhushi, A. (2013). Spectral embedding based active contour (SEAC) for lesion segmentation on breast dynamic contrast enhanced magnetic resonance imaging.. Medical physics, 40 (3), 032305.
Xu, J., Janowczyk, A., Chandran, S., & Madabhushi, A. (2011). A high-throughput active contour scheme for segmentation of histopathological imagery.. Medical image analysis, 15 (6), 851-62.
Fatakdawala, H., Xu, J., Basavanhally, A., Bhanot, G., Ganesan, S., Feldman, M., Tomaszewski, J., & Madabhushi, A. (2010). Expectation-maximization-driven geodesic active contour with overlap resolution (EMaGACOR): application to lymphocyte segmentation on breast cancer histopathology.. IEEE transactions on bio-medical engineering, 57 (7), 1676-89.
Xu, J., Monaco, J., & Madabhushi, A. (2010). Markov random field driven region-based active contour model (MaRACel): application to medical image segmentation.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 13 (Pt 3), 197-204.