N Shih

Publications

De Leon, A., Lee, G., Shih, N., Elliott, R., Feldman, M., & Madabhushi, A. (2016). Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images.. Journal of medical imaging (Bellingham, Wash.), 3 (4), 047502.
Penzias, G., Janowczyk, A., Singanamalli, A., Rusu, M., Shih, N., Feldman, M., Stricker, P., Delprado, W., Tiwari, S., Böhm, M., Haynes, A., Ponsky, L., Viswanath, S. E., & Madabhushi, A. E. (2016). AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments.. Scientific reports, 6 , 29906.
Singanamalli, A., Rusu, M., Sparks, R., Shih, N., Ziober, A., Wang, Y., Tomaszewski, J., Rosen, M., Feldman, M., & Madabhushi, A. (2016). Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancer.. Journal of magnetic resonance imaging : JMRI, 43 (1), 149-58.
Litjens, G., Elliott, R., Shih, N., Feldman, M., Kobus, T., De Hulsbergen-van Kaa, C., Barentsz, J., Huisman, H., & Madabhushi, A. (2016). Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging.. Radiology, 278 (1), 135-45.
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.
Lee, G., Singanamalli, A., Wang, Z., Feldman, M., Master, S., Shih, N., Spangler, E., Rebbeck, T., Tomaszewski, J., & Madabhushi, A. (2015). Supervised multi-view canonical correlation analysis (sMVCCA): integrating histologic and proteomic features for predicting recurrent prostate cancer.. IEEE transactions on medical imaging, 34 (1), 284-97.
Litjens, G., Huisman, H., Elliott, R., Shih, N., Feldman, M., Viswanath, S. E., Futterer, J. E., Bomers, J. E., & Madabhushi, A. E. (2014). Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy.. Journal of medical imaging (Bellingham, Wash.), 1 (3), 035001.
Wang, Z., Cruz-Roa, A., Basavanhally, A., Gilmore, H., Shih, N., Feldman, M., Tomaszewski, J., Gonzalez, F., & Madabhushi, A. (2014). Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features.. Journal of medical imaging (Bellingham, Wash.), 1 (3), 034003.
Lee, G., Sparks, R., Karabalin, R., Shih, N., Feldman, M., Spangler, E., Rebbeck, T., Tomaszewski, J., & Madabhushi, A. (2014). Co-occurring gland angularity in localized subgraphs: predicting biochemical recurrence in intermediate-risk prostate cancer patients.. PloS one, 9 (5), e97954.
Toth, R., Shih, N., Tomaszewski, J., Feldman, M., Kutter, O., Cymbalyuk, G., Paulus, Jr, J., Paladini, G., & Madabhushi, A. (2014). Histostitcher™: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework.. Journal of pathology informatics, 5 (1), 8.
Basavanhally, A., Ganesan, S., Feldman, M., Shih, N., Miesner, C., Tomaszewski, J., & Madabhushi, A. (2013). Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides.. IEEE transactions on bio-medical engineering, 60 (8), 2089-99.
Doyle, S., Feldman, M., Shih, N., Tomaszewski, J., & Madabhushi, A. (2012). Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer.. BMC bioinformatics, 13 , 282.
Chappelow, J., Tomaszewski, J., Feldman, M., Shih, N., & Madabhushi, A. (2011). HistoStitcher(©): an interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 35 (7-8), 557-67.
Hipp, J., Cheng, J., Pantanowitz, L., Hewitt, S., Yagi, Y., Monaco, J., Madabhushi, A., Rodriguez-Canales, J., Hanson, J., Roy-Chowdhuri, S., Filie, A., Feldman, M., Tomaszewski, J., Shih, N., Brodsky, V., Giaccone, G., Emmert-Buck, M., & Balis, U. (2011). Image microarrays (IMA): Digital pathology's missing tool.. Journal of pathology informatics, 2 , 47.
Basavanhally, A., Feldman, M., Shih, N., Miesner, C., Tomaszewski, J., Ganesan, S., & Madabhushi, A. (2011). Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX.. Journal of pathology informatics, 2 , S1.
Yu, S., Monaco, J., Tomaszewski, J., Shih, N., Feldman, M., & Madabhushi, A. (2011). Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2011 , 3427-30.
Patel, P., Chappelow, J., Tomaszewski, J., Feldman, M., Rosen, M., Shih, N., & Madabhushi, A. (2011). Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2011 , 6269-72.