Mark Rosen

Patents Received

2012, "Computer Assisted Diagnosis (CAD) of cancer using Multi-Functional Multi-Modal in vivo Magnetic Resonance Spectroscopy (MRS) and Imaging (MRI)" US 8295575 B2, Anant Madabhushi, Michael Feldman, John Tomaszewski, Mark Rosen, Satish Viswanath, Pallavi Tiwari, & Robert Toth.
2012, "Computer Assisted Diagnosis (CAD) of cancer using Multi-Functional Multi-Modal in vivo Magnetic Resonance Spectroscopy (MRS) and Imaging (MRI)" 8,295,575, Pallavi Tiwari, Anant Madabhushi, Satish Viswanath, Robert Toth, Michael Feldman, John Tomaszewski, & Mark Rosen.
2012, "Systems and methods for classification of biological datasets" 8204315, Anant Madabhushi, Michael Feldman, John Tomaszewski, Mark Rosen, & Jianbo Shi.

Patents Pending

2010, "System and Method for Automated Segmentation, Characterization, and Classification of possibly malignant Lesions and Stratification of Malignant tumors" US 2011/0026798 A1, Anant Madabhushi, Shannon Agner, & Mark Rosen.
2009, "Defining Quantitative Signatures for Different Gleason Grades of Prostate Cancer Using Magnetic Resonance Spectroscopy and Magnetic Resonance Imaging" US 2010/0169024 A1, Anant Madabhushi, Pallavi Tiwari, & Mark Rosen.

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).
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.
Criss, C., Petro, C., Krpata, D., Seafler, C., Lai, N., Fiutem, J., Novitsky, Y., & Rosen, M. (2014). Functional abdominal wall reconstruction improves core physiology and quality-of-life.. Surgery, 156 (1), 176-82.
Agner, S., Rosen, M., Englander, S., Tomaszewski, J., Feldman, M., Zhang, P., Miesner, C., Schnall, M., & Madabhushi, A. (2014). Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility study.. Radiology, 272 (1), 91-9.
Agner, S., Rosen, M., Englander, S., Tomaszewski, J., Feldman, M., Zhang, P., Miesner, C., Schnall, M., & Madabhushi, A. (2014). Computerized Image Analysis for Identifying Triple-Negative Breast Cancers and Differentiating Them from Other Molecular Subtypes of Breast Cancer on Dynamic Contrast-enhanced MR Images: A Feasibility Study.. Radiology.
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.
Agner, S., Soman, S., Libfeld, E., McDonald, M., Thomas, K., Englander, S., Rosen, M., Chin, D., Nosher, J., & Madabhushi, A. (2011). Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification.. Journal of digital imaging, 24 (3), 446-63.
Toth, R., Tiwari, P., Rosen, M., Reed, G., Kurhanewicz, J., Kalyanpur, A., Pungavkar, S., & Madabhushi, A. (2011). A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation.. Medical image analysis, 15 (2), 214-25.
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.
Tiwari, P., Kurhanewicz, J., Rosen, M., & Madabhushi, A. (2010). Semi supervised multi kernel (SeSMiK) graph embedding: identifying aggressive prostate cancer via magnetic resonance imaging and spectroscopy.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 13 (Pt 3), 666-73.
Tiwari, P., Rosen, M., & Madabhushi, A. (2009). A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS).. Medical physics, 36 (9), 3927-39.
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.
Tiwari, P., Rosen, M., Reed, G., Kurhanewicz, J., & Madabhushi, A. (2009). Spectral embedding based probabilistic boosting tree (ScEPTre): classifying high dimensional heterogeneous biomedical data.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 12 (Pt 2), 844-51.
Tiwari, P., Rosen, M., & Madabhushi, A. (2008). Consensus-locally linear embedding (C-LLE): application to prostate cancer detection on magnetic resonance spectroscopy.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 11 (Pt 2), 330-8.
Toth, R., Chappelow, J., Rosen, M., Pungavkar, S., Kalyanpur, A., & Madabhushi, A. (2008). Multi-attribute non-initializing texture reconstruction based active shape model (MANTRA).. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 11 (Pt 1), 653-61.
Tiwari, P., Madabhushi, A., & Rosen, M. (2007). A hierarchical unsupervised spectral clustering scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS).. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 10 (Pt 2), 278-86.
Madabhushi, A., Yang, P., Rosen, M., & Weinstein, S. (2006). Distinguishing lesions from posterior acoustic shadowing in breast ultrasound via non-linear dimensionality reduction.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 1 , 3070-3.
Madabhushi, A., Shi, J., Rosen, M., Tomaszeweski, J., & Feldman, M. (2005). Graph embedding to improve supervised classification and novel class detection: application to prostate cancer.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 8 (Pt 1), 729-37.