Center for Computational Imaging and Personalized Diagnostics Publications

Sunday, January 1, 2012

A visual latent semantic approach for automatic analysis and interpretation of anaplastic medulloblastoma virtual slides.

Cruz-Roa, A., Gonzalez, F., Galaro, J., Judkins, A., Ellison, D., Baccon, J., ... Romero, E. (2012). A visual latent semantic approach for automatic analysis and interpretation of anaplastic medulloblastoma virtual slides.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 15 (Pt 1), 157-64.

Monday, December 19, 2011

Supervised regularized canonical correlation analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery.

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.

Thursday, December 1, 2011

A high-throughput active contour scheme for segmentation of histopathological imagery.

Xu, J., Janowczyk, A., Chandran, S., & Madabhushi, A. (2011). A high-throughput active contour scheme for segmentation of histopathological imagery.. Medical image analysis, 15 (6), 851-62.

Friday, October 28, 2011

An active learning based classification strategy for the minority class problem: application to histopathology annotation.

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.

Saturday, October 1, 2011

Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer.

Xiao, G., Bloch, B., Chappelow, J., Genega, E., Rofsky, N., Lenkinski, R., ... 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.

Saturday, October 1, 2011

HistoStitcher(©): an interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments.

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.

Saturday, October 1, 2011

Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.

Madabhushi, A., Agner, S., Basavanhally, A., Doyle, S., & Lee, G. (2011). Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 35 (7-8), 506-14.

Friday, July 1, 2011

Weighted maximum posterior marginals for random fields using an ensemble of conditional densities from multiple Markov chain Monte Carlo simulations.

Monaco, J., & Madabhushi, A. (2011). Weighted maximum posterior marginals for random fields using an ensemble of conditional densities from multiple Markov chain Monte Carlo simulations.. IEEE transactions on medical imaging, 30 (7), 1353-64.

Wednesday, June 1, 2011

Accurate prostate volume estimation using multifeature active shape models on T2-weighted MRI.

Toth, R., Bloch, B., Genega, E., Rofsky, N., Lenkinski, R., Rosen, M., ... Madabhushi, A. (2011). Accurate prostate volume estimation using multifeature active shape models on T2-weighted MRI.. Academic radiology, 18 (6), 745-54.

Wednesday, June 1, 2011

Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification.

Agner, S., Soman, S., Libfeld, E., McDonald, M., Thomas, K., Englander, S., ... 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.

Friday, April 1, 2011

A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation.

Toth, R., Tiwari, P., Rosen, M., Reed, G., Kurhanewicz, J., Kalyanpur, A., ... Madabhushi, A. (2011). A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation.. Medical image analysis, 15 (2), 214-25.

Friday, April 1, 2011

Elastic registration of multimodal prostate MRI and histology via multiattribute combined mutual information.

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.

Friday, March 4, 2011

Enhanced Multi-Protocol Analysis via Intelligent Supervised Embedding (EMPrAvISE): Detecting Prostate Cancer on Multi-Parametric MRI.

Viswanath, S. E., Bloch, B., Chappelow, J., Patel, P., Rofsky, N., Lenkinski, R., ... Madabhushi, A. (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.

Tuesday, March 1, 2011

CADOnc<sup>©</sup>: An Integrated Toolkit For Evaluating Radiation Therapy Related Changes In The Prostate Using Multiparametric MRI.

Viswanath, S. E., Tiwari, P., Chappelow, J., Toth, R., Kurhanewicz, J., & Madabhushi, A. (2011). CADOnc^©: An Integrated Toolkit For Evaluating Radiation Therapy Related Changes In The Prostate Using Multiparametric MRI.. Proceedings. IEEE International Symposium on Biomedical Imaging, 2011 (), 2095-2098.

Tuesday, March 1, 2011

MULTI-MODAL DATA FUSION SCHEMES FOR INTEGRATED CLASSIFICATION OF IMAGING AND NON-IMAGING BIOMEDICAL DATA.

Tiwari, P., Viswanath, S. E., Lee, G., & Madabhushi, A. (2011). MULTI-MODAL DATA FUSION SCHEMES FOR INTEGRATED CLASSIFICATION OF IMAGING AND NON-IMAGING BIOMEDICAL DATA.. Proceedings. IEEE International Symposium on Biomedical Imaging, 2011 (), 165-168.

Saturday, January 1, 2011

Aggregated distance metric learning (ADM) for image classification in presence of limited training data.

Xiao, G., & Madabhushi, A. (2011). Aggregated distance metric learning (ADM) for image classification in presence of limited training data.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 14 (Pt 3), 33-40.

Saturday, January 1, 2011

An integrated texton and bag of words classifier for identifying anaplastic medulloblastomas.

Galaro, J., Judkins, A., Ellison, D., Baccon, J., & Madabhushi, A. (2011). An integrated texton and bag of words classifier for identifying anaplastic medulloblastomas.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2011 (), 3443-6.

Saturday, January 1, 2011

Automated vector selection of SIVQ and parallel computing integration MATLAB™: Innovations supporting large-scale and high-throughput image analysis studies.

Cheng, J., Hipp, J., Monaco, J., Lucas, D., Madabhushi, A., & Balis, U. (2011). Automated vector selection of SIVQ and parallel computing integration MATLAB™: Innovations supporting large-scale and high-throughput image analysis studies.. Journal of pathology informatics, 2 (), 37.

Saturday, January 1, 2011

Computer aided diagnostic tools aim to empower rather than replace pathologists: Lessons learned from computational chess.

Hipp, J., Flotte, T., Monaco, J., Cheng, J., Madabhushi, A., Yagi, Y., ... Balis, U. (2011). Computer aided diagnostic tools aim to empower rather than replace pathologists: Lessons learned from computational chess.. Journal of pathology informatics, 2 (), 25.

Saturday, January 1, 2011

Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models.

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.

Saturday, January 1, 2011

Graphical processing unit implementation of an integrated shape-based active contour: Application to digital pathology.

Karabalin, R., & Madabhushi, A. (2011). Graphical processing unit implementation of an integrated shape-based active contour: Application to digital pathology.. Journal of pathology informatics, 2 (), S13.

Saturday, January 1, 2011

Image microarrays (IMA): Digital pathology's missing tool.

Hipp, J., Cheng, J., Pantanowitz, L., Hewitt, S., Yagi, Y., Monaco, J., ... Balis, U. (2011). Image microarrays (IMA): Digital pathology's missing tool.. Journal of pathology informatics, 2 (), 47.

Saturday, January 1, 2011

Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX.

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.

Saturday, January 1, 2011

Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI.

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.

Saturday, January 1, 2011

Interplay between bias field correction, intensity standardization, and noise filtering for T2-weighted MRI.

Palumbo, D., Yee, B., O'Dea, P., Leedy, S., Viswanath, S. E., & Madabhushi, A. (2011). Interplay between bias field correction, intensity standardization, and noise filtering for T2-weighted 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 (), 5080-3.

Case School of Engineering

Center for Computational Imaging and Personalized Diagnostics

Center for Computational Imaging and Personalized Diagnostics Publications

A visual latent semantic approach for automatic analysis and interpretation of anaplastic medulloblastoma virtual slides.

Supervised regularized canonical correlation analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery.

A high-throughput active contour scheme for segmentation of histopathological imagery.

An active learning based classification strategy for the minority class problem: application to histopathology annotation.

Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer.

HistoStitcher(©): an interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments.

Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.

Weighted maximum posterior marginals for random fields using an ensemble of conditional densities from multiple Markov chain Monte Carlo simulations.

Accurate prostate volume estimation using multifeature active shape models on T2-weighted MRI.

Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification.

A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation.

Elastic registration of multimodal prostate MRI and histology via multiattribute combined mutual information.

Enhanced Multi-Protocol Analysis via Intelligent Supervised Embedding (EMPrAvISE): Detecting Prostate Cancer on Multi-Parametric MRI.

CADOnc<sup>©</sup>: An Integrated Toolkit For Evaluating Radiation Therapy Related Changes In The Prostate Using Multiparametric MRI.

MULTI-MODAL DATA FUSION SCHEMES FOR INTEGRATED CLASSIFICATION OF IMAGING AND NON-IMAGING BIOMEDICAL DATA.

Aggregated distance metric learning (ADM) for image classification in presence of limited training data.

An integrated texton and bag of words classifier for identifying anaplastic medulloblastomas.

Automated vector selection of SIVQ and parallel computing integration MATLAB™: Innovations supporting large-scale and high-throughput image analysis studies.

Computer aided diagnostic tools aim to empower rather than replace pathologists: Lessons learned from computational chess.

Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models.

Graphical processing unit implementation of an integrated shape-based active contour: Application to digital pathology.

Image microarrays (IMA): Digital pathology's missing tool.

Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX.

Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI.

Interplay between bias field correction, intensity standardization, and noise filtering for T2-weighted MRI.

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