Lingli Li

Publications

Shiradkar, R., Panda, A., Leo, P., Janowczyk, A., Farre, X., Janaki, N., Li, L., Pahwa, S., Mahran, A., Buzzy, C., Fu, P., Elliott, R., MacLennan, G., Ponsky, L., Gulani, V., & Madabhushi, A. (2020). Correction to: T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology. European Radiology.
Shiradkar, R., Panda, A., Leo, P., Janowczyk, A., Farre, X., Janaki, N., Li, L., Pahwa, S., Mahran, A., Buzzy, C., Fu, P., Elliott, R., MacLennan, G., Ponsky, L., Gulani, V., & Madabhushi, A. (2020). T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology. European Radiology.
Hiremath, A., Shiradkar, R., Merisaari, H., Li, L., Prasanna, P., Ettala, O., Taimen, P., Aronen, H., Boström, P., Pierce, J., Tirumani, S., Rastinehad, A., Jambor, I., Purysko, A., & Madabhushi, A. (2020). PD57-05 A DEEP LEARNING NETWORK ALONG WITH PIRADS CAN DISTINGUISH CLINICALLY SIGNIFICANT AND INSIGNIFICANT PROSTATE CANCER ON BI-PARAMETRIC MRI: A MULTI-CENTER STUDY. The Journal of Urology, 203
Shiradkar, R., Panda, A., Leo, P., Janowczyk, A., Farre, X., Janaki, N., Li, L., Pahwa, S., Mahran, A., Buzzy, C., Fu, P., Elliott, R., MacLennan, G., Ponsky, L., Gulani, V., & Madabhushi, A. (2020). T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology. European Radiology.
Li, L., Shiradkar, R., Leo, P., Purysko, A., Algohary, A., Klein, E., Magi-Galluzzi, C., & Madabhushi, A. (2019). Association of radiomic features from prostate bi-parametric MRI with Decipher risk categories to predict risk for biochemical recurrence post-prostatectomy.. Journal of Clinical Oncology, 37 (15_suppl), e16561-e16561.
Purysko, A., Magi-Galluzzi, C., Mian, O., Davicioni, E., Plessis, M., Buerki, C., Bullen, J., Li, L., Madabhushi, A., Stephenson, A., & Klein, E. (2019). MP28-04 CORRELATION BETWEEN MRI PHENOTYPES AND A GENOMIC CLASSIFIER OF PROSTATE CANCER. The Journal of Urology, 201 (Supplement 4).
Purysko, A., Magi-Galluzzi, C., Mian, O., Sittenfeld, S., Davicioni, E., Du Plessis, M., Buerki, C., Bullen, J., Li, L., Madabhushi, A., Stephenson, A., & Klein, E. (2019). Correlation between MRI phenotypes and a genomic classifier of prostate cancer: preliminary findings. European Radiology, 29 (9), 4861-4870.
Li, L., Jambor, I., Taimen, P., Merisaari, H., Minn, H., Boström, P., Aronen, H., Algohary, A., & Madabhushi, A. (2018). MP35-01 PROSTATE TUMOR TEXTURAL HETEROGENEITY OF 11 C-ACETATE POSITRON EMISSION TOMOGRAPHY AND T2-WEIGHTED MAGNETIC RESONANCE IMAGING CORRELATE WITH BIOCHEMICAL RECURRENCE: PRELIMINARY FINDINGS. The Journal of Urology, 199 (4).
Li, L., Pahwa, S., Penzias, G., Rusu, M., Gollamudi, J., Viswanath, S. E., & Madabhushi, A. E. (2017). Co-Registration of ex vivo Surgical Histopathology and in vivo T2 weighted MRI of the Prostate via multi-scale spectral embedding representation. Scientific Reports, 7 (1).
Cheng, R., Li, L., Ou, S., Bu, Y., Ge, C., Dai, L., & Xue, Y. (2016). Determination of Ag+ions by a graphene oxide based dual-output nanosensor with high selectivity. RSC Adv., 6 (43), 36218-36222.