B. Nicolas Bloch

Publications

Chirra, P., Leo, P., Yim, M., Bloch, B., Rastinehad, A., Purysko, A., Rosen, M., Madabhushi, A., & Viswanath, S. (2019). Multisite evaluation of radiomic feature reproducibility and discriminability for identifying peripheral zone prostate tumors on MRI. Journal of Medical Imaging, 6 (02).
Braman, N., Prasanna, P., Whitney, J., Singh, S., Beig, N., Etesami, M., Bates, D., Gallagher, K., Bloch, B., Vulchi, M., Turk, P., Bera, K., Abraham, J., Sikov, W., Somlo, G., Harris, L., Gilmore, H., Plecha, D., Varadan, V., & Madabhushi, A. (2019). Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2) �Positive Breast Cancer. JAMA Network Open, 2 (4), e192561.
Wang, X., Bloch, B., Plecha, D., Thompson, C., Gilmore, H., Jaffe, C., Harris, L., & Madabhushi, A. (2016). A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores.. Scientific reports, 6 , 21394.
Wan, T., Bloch, B., Plecha, D., Thompson, C., Gilmore, H., Jaffe, C., Harris, L., & Madabhushi, A. (2016). A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores. Scientific Reports [20452322], 6
Ginsburg, S., Viswanath, S. E., Bloch, B. E., Rofsky, N. E., Genega, E. E., Lenkinski, R. E., & Madabhushi, A. E. (2015). Novel PCA-VIP scheme for ranking MRI protocols and identifying computer-extracted MRI measurements associated with central gland and peripheral zone prostate tumors.. Journal of magnetic resonance imaging : JMRI, 41 (5), 1383-93.
Sparks, R., Bloch, B., Feleppa, E., Barratt, D., Moses, D., Ponsky, L., & Madabhushi, A. (2015). Multiattribute probabilistic prostate elastic registration (MAPPER): application to fusion of ultrasound and magnetic resonance imaging.. Medical physics, 42 (3), 1153-63.
Wang, X., Bloch, B., Danish, S., & Madabhushi, A. (2014). A Learning Based Fiducial-driven Registration Scheme for Evaluating Laser Ablation Changes in Neurological Disorders.. Neurocomputing, 144 , 24-37.
Rusu, M., Bloch, B., Jaffe, C., Genega, E., Lenkinski, R., Rofsky, N., Feleppa, E., & Madabhushi, A. (2014). Prostatome: a combined anatomical and disease based MRI atlas of the prostate.. Medical physics, 41 (7), 072301.
Rusu, M., Bloch, B., Jaffe, C., Rofsky, N., Genega, E., Feleppa, E., Lenkinski, R., & Madabhushi, A. (2013). Statistical 3D Prostate Imaging Atlas Construction via Anatomically Constrained Registration.. Proceedings of SPIE--the International Society for Optical Engineering, 8669
Sparks, R., Bloch, B., Feleppa, E., Barratt, D., & Madabhushi, A. (2013). Fully Automated Prostate Magnetic Resonance Imaging and Transrectal Ultrasound Fusion via a Probabilistic Registration Metric.. Proceedings of SPIE--the International Society for Optical Engineering, 8671
Viswanath, S. E., Bloch, B. E., Chappelow, J. E., Toth, R. E., Rofsky, N. E., Genega, E. E., Lenkinski, R. E., & Madabhushi, A. E. (2012). Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 Tesla endorectal, in vivo T2-weighted MR imagery.. Journal of magnetic resonance imaging : JMRI, 36 (1), 213-24.
Bulman, J., Toth, R., Patel, S., Bloch, B., McMahon, C., Otorongo, M., Madabhushi, A., & Rofsky, N. (2012). Automated computer-derived prostate volumes from MR imaging data: comparison with radiologist-derived MR imaging and pathologic specimen volumes.. Radiology, 262 (1), 144-51.
Xiao, G., Bloch, B., Chappelow, J., Genega, E., Rofsky, N., Lenkinski, R., Tomaszewski, J., Feldman, M., Rosen, M., & Madabhushi, A. (2011). Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 35 (7-8), 568-78.
Toth, R., Bloch, B., Genega, E., Rofsky, N., Lenkinski, R., Rosen, M., Kalyanpur, A., Pungavkar, S., & Madabhushi, A. (2011). Accurate prostate volume estimation using multifeature active shape models on T2-weighted MRI.. Academic radiology, 18 (6), 745-54.
Chappelow, J., Bloch, B., Rofsky, N., Genega, E., Lenkinski, R., DeWolf, W., & Madabhushi, A. (2011). Elastic registration of multimodal prostate MRI and histology via multiattribute combined mutual information.. Medical physics, 38 (4), 2005-18.
Viswanath, S. E., Bloch, B. E., Chappelow, J. E., Patel, P. E., Rofsky, N. E., Lenkinski, R. E., Genega, E. E., & Madabhushi, A. E. (2011). Enhanced Multi-Protocol Analysis via Intelligent Supervised Embedding (EMPrAvISE): Detecting Prostate Cancer on Multi-Parametric MRI.. Proceedings of SPIE--the International Society for Optical Engineering, 7963 , 79630U.
Viswanath, S. E., Bloch, B. E., Rosen, M. E., Chappelow, J. E., Toth, R. E., Rofsky, N. E., Lenkinski, R. E., Genega, E. E., Kalyanpur, A. E., & Madabhushi, A. E. (2009). Integrating Structural and Functional Imaging for Computer Assisted Detection of Prostate Cancer on Multi-Protocol <i>In Vivo</i> 3 Tesla MRI.. Proceedings of SPIE--the International Society for Optical Engineering, 7260 , 72603I.
Viswanath, S. E., Bloch, B. E., Genega, E. E., Rofsky, N. E., Lenkinski, R. E., Chappelow, J. E., Toth, R. E., & Madabhushi, A. E. (2008). A comprehensive segmentation, registration, and cancer detection scheme on 3 Tesla in vivo prostate DCE-MRI.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 11 (Pt 1), 662-9.