John Tomaszewski

Patents Received

2012, "Malignancy diagnosis using content-based image retreival of tissue histopathology" EP2174263 A1, Anant Madabhushi, Scott Doyle, Michael Feldman, & John Tomaszewski.
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, "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, "Systems and methods for classification of biological datasets" 8204315, Anant Madabhushi, Michael Feldman, John Tomaszewski, Mark Rosen, & Jianbo Shi.

Patents Pending

2009, "System and Method for Accurate and Rapid Identification of Diseased Regions on Biological Images with Applications to Disease Diagnosis and Prognosis" US 2011/0243417 A1, Anant Madabhushi, James Monaco, Michael Feldman, John Tomaszewski, & Ajay Basavanhally.

Publications

Meng, J., Huang, T., Mei, X., Yu, X., Pan, Z., Tomaszewski, J., Schepelmann, A., Chen, J., Guo, X., & Yang, Z. (2020). Adjuvant breast inversely planned intensity-modulated radiotherapy with simultaneous integrated boost for early stage breast cancer : Results from a phase II trial.. Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al].
Whitney, J., Corredor-Prada, G., Janowczyk, A., Ganesan, S., Doyle, S., Tomaszewski, J., Feldman, M., Gilmore, H., & Madabhushi, A. (2018). Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer. BMC Cancer, 18 (1).
Whitney, J., Corredor-Prada, G., Janowczyk, A., Ganesan, S., Doyle, S., Tomaszewski, J., Feldman, M., Gilmore, H., & Madabhushi, A. (2018). Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer. BMC Cancer, 18 (1).
Cruz-Roa, A., Gilmore, H., Basavanhally, A., Feldman, M., Ganesan, S., Shih, N., Tomaszewski, J., Madabhushi, A., & Gonz�lez, F. (2018). High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection. PLoS ONE, 13 (5).
Verma, N., Harding, D., Mohammadi, A., Goldstein, L., Gilmore, H., Feldman, M., Tomaszewski, J., Basavanhally, A., Lloyd, M., Fu, P., Ganesan, S., Davidson, N., Madabhushi, A., & Monaco, J. (2018). Image-based risk score to predict recurrence of ER+ breast cancer in ECOG-ACRIN Cancer Research Group E2197.. Journal of Clinical Oncology, 36 (15_suppl), 540-540.
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.
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.
Madabhushi, A., Cruz-Rao, A., Basanvanhally, A., Gilmore, H., Shih, N., Feldman, M., Tomaszewski, J., & Gonzalez, F. (2014). Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features. Journal of Medical Imaging, 1 (3), 13 pages.
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.
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.
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.
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.
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.
Doyle, S., Feldman, M., Tomaszewski, J., & Madabhushi, A. (2012). A boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsies.. IEEE transactions on bio-medical engineering, 59 (5), 1205-18.
Hipp, J., Monaco, J., Kunju, L., Cheng, J., Yagi, Y., Rodriguez-Canales, J., Emmert-Buck, M., Hewitt, S., Feldman, M., Tomaszewski, J., Toner, M., Tompkins, R., Flotte, T., Lucas, D., Gilbertson, J., Madabhushi, A., & Balis, U. (2012). Integration of architectural and cytologic driven image algorithms for prostate adenocarcinoma identification.. Analytical cellular pathology (Amsterdam), 35 (4), 251-65.
Golugula, A., Lee, G., Master, S., Feldman, M., Tomaszewski, J., Speicher, D., & Madabhushi, A. (2011). Supervised regularized canonical correlation analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery.. BMC bioinformatics, 12 , 483.
Doyle, S., Monaco, J., Feldman, M., Tomaszewski, J., & Madabhushi, A. (2011). An active learning based classification strategy for the minority class problem: application to histopathology annotation.. BMC bioinformatics, 12 , 424.
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.
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.
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.
Golugula, A., Lee, G., Master, S., Feldman, M., Tomaszewski, J., & Madabhushi, A. (2011). Supervised regularized canonical correlation analysis: integrating histologic and proteomic data for predicting biochemical failures.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2011 , 6434-7.
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.
Monaco, J., Tomaszewski, J., Feldman, M., Hagemann, I., Moradi, M., Mousavi, P., Boag, A., Davidson, C., Abolmaesumi, P., & Madabhushi, A. (2010). High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models.. Medical image analysis, 14 (4), 617-29.
Madabhushi, A., Doyle, S., Lee, G., Basavanhally, A., Monaco, J., Masters, S., Tomaszewski, J., & Feldman, M. (2010). Integrated diagnostics: a conceptual framework with examples.. Clinical chemistry and laboratory medicine, 48 (7), 989-98.
Fatakdawala, H., Xu, J., Basavanhally, A., Bhanot, G., Ganesan, S., Feldman, M., Tomaszewski, J., & Madabhushi, A. (2010). Expectation-maximization-driven geodesic active contour with overlap resolution (EMaGACOR): application to lymphocyte segmentation on breast cancer histopathology.. IEEE transactions on bio-medical engineering, 57 (7), 1676-89.
Basavanhally, A., Ganesan, S., Agner, S., Monaco, J., Feldman, M., Tomaszewski, J., Bhanot, G., & Madabhushi, A. (2010). Computerized image-based detection and grading of lymphocytic infiltration in HER2+ breast cancer histopathology.. IEEE transactions on bio-medical engineering, 57 (3), 642-53.