Cheng Lu

Research Assistant Professor, Biomedical Engineering
Email: cheng.lu2@case.edu

Publications

Lu, C., Koyuncu, C., Corredor-Prada, G., Prasanna, P., Leo, P., WAng, X., Janowczyk, A., Bera, K., Lewis, J., Velcheti, V., & Madabhushi, A. (2021). Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers. Medical Image Analysis, 68
WAng, X., Bera, K., Barrera, C., Zhou, Y., Lu, C., Vaidya, P., Fu, P., Yang, M., Schmid, R., Berezowska, S., Choi, H., Velcheti, V., & Madabhushi, A. (2021). A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer. EBIOMEDICINE, 69
Wang, Y., Lei, X., Lu, C., & Greenspan, H. (2021). Predicting Microbe-disease Association Based on Multiple Similarities and LINE Algorithm. IEEE/ACM Transactions on Computational Biology and Bioinformatics.
Li, H., Bera, K., Toro, P., Fu, P., Zhang, Z., Lu, C., Feldman, M., Ganesan, S., Goldstein, L., Davidson, N., & Others, N. (2021). Collagen fiber orientation disorder from H\&E images is prognostic for early stage breast cancer: clinical trial validation. npj Breast Cancer, 7 (1), 1--10.
Prasanna, P., Bobba, V., Figueiredo, N., Sevgi, D., Lu, C., Braman, N., Alilou, M., Sharma, S., Srivastava, S., Madabhushi, A., & Others, A. (2021). Radiomics-based assessment of ultra-widefield leakage patterns and vessel network architecture in the PERMEATE study: insights into treatment durability. British Journal of Ophthalmology, 105 (8), 1155--1160.
Koyuncu, C., Lu, C., Bera, K., Zhang, Z., Xue, Z., Toro, P., Corredor-Prada, G., Chute, D., Fu, P., Thorstad, W., & Others, W. (2021). Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma. The Journal of Clinical Investigation, 131 (8).
Lu, C., Bera, K., WAng, X., Prasanna, P., Xue, Z., Janowczyk, A., Beig, N., Yang, M., Fu, P., Lewis, J., Choi, H., Schmid, R., Berezowska, S., Schalper, K., Rimm, D., Velcheti, V., & Madabhushi, A. (2020). A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study. The Lancet Digital Health, 2 (11), e594-e606.
Cyphert, E., Lu, C., Marques, D., Learn, G., & Von Recum, H. (2020). Combination Antibiotic Delivery in PMMA Provides Sustained Broad-Spectrum Antimicrobial Activity and Allows for Postimplantation Refilling.. Biomacromolecules, 21 (2), 854-866.
Ji, M., Yuan, L., Lu, S., Gao, M., Zeng, Z., Zhan, N., Ding, Y., Liu, Z., Huang, P., Lu, C., & Others, C. (2020). Glandular orientation and shape determined by computational pathology could identify aggressive tumor for early colon carcinoma: a triple-center study. Journal of translational medicine, 18 (1), 1--12.
Prasanna, P., Bobba, V., Figueiredo, N., Sevgi, D., Lu, C., Braman, N., Alilou, M., Sharma, S., Srivastava, S., Madabhushi, A., & Others, A. (2020). Radiomics-based assessment of ultra-widefield leakage patterns and vessel network architecture in the PERMEATE study: insights into treatment durability. British Journal of Ophthalmology.
Xue, Z., Gong, L., Wang, G., Lu, C., Gilmore, H., Zhang, S., & Madabhushi, A. (2019). Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images. Journal of Medical Imaging, 6 (01), 1.
Corredor, Germ\'an, WAng, X., Zhou, Y., Lu, C., Fu, P., Syrigos, K., Rimm, D., Yang, M., Romero, E., Schalper, K., & Others, K. (2019). Spatial architecture and arrangement of tumor-infiltrating lymphocytes for predicting likelihood of recurrence in early-stage non--small cell lung cancer. Clinical cancer research, 25 (5), 1526--1534.
Xue, Z., Gong, L., Wang, G., Lu, C., Gilmore, H., Zhang, S., & Madabhushi, A. (2019). Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images. Journal of Medical Imaging, 6 (1), 017501.
Ji, M., Yuan, L., Jiang, X., Zeng, Z., Zhan, N., Huang, P., Lu, C., & Dong, W. (2019). Nuclear shape, architecture and orientation features from H\&E images are able to predict recurrence in node-negative gastric adenocarcinoma. Journal of translational medicine, 17 (1), 92.
Lu, C., Romo-Bucheli, D., WAng, X., Janowczyk, A., Ganesan, S., Gilmore, H., Rimm, D., & Madabhushi, A. (2018). Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers. Laboratory Investigation, 98 (11), 1438-1448.
Lu, C., Lewis, J., Dupont, W., Plummer, W., Janowczyk, A., & Madabhushi, A. (2017). An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival. Modern Pathology, 30 (12), 1655-1665.