Center for Computational Imaging and Personalized Diagnostics Publications

Thursday, January 24, 2013

Digital imaging in pathology: whole-slide imaging and beyond.

Ghaznavi, F., Evans, A., Madabhushi, A., & Feldman, M. (2013). Digital imaging in pathology: whole-slide imaging and beyond.. Annual review of pathology, 8 (), 331-59.

Tuesday, January 1, 2013

Cell orientation entropy (COrE): predicting biochemical recurrence from prostate cancer tissue microarrays.

Lee, G., Karabalin, R., Veltri, R., Epstein, J., Christudass, C., & Madabhushi, A. (2013). Cell orientation entropy (COrE): predicting biochemical recurrence from prostate cancer tissue microarrays.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 16 (Pt 3), 396-403.

Tuesday, January 1, 2013

Variable importance in nonlinear kernels (VINK): classification of digitized histopathology.

Ginsburg, S., Karabalin, R., Lee, G., Basavanhally, A., & Madabhushi, A. (2013). Variable importance in nonlinear kernels (VINK): classification of digitized histopathology.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 16 (Pt 2), 238-45.

Tuesday, January 1, 2013

Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation

Madabhushi, A., Rusu, M., Sparks, R., Toth, R., & Hwang, E. (2013). Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation. Conference Proceedings IEEE Engineering in Medicine and Biology Society, 2013 (), 4006-9.

Tuesday, January 1, 2013

A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection.

Cruz-Roa, A., Arevalo Ovalle, J., Madabhushi, A., & González Osorio, F. (2013). A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 16 (Pt 2), 403-10.

Tuesday, January 1, 2013

Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation.

Hwuang, E., Danish, S., Rusu, M., Sparks, R., Toth, R., & Madabhushi, A. (2013). Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2013 (), 4006-9.

Tuesday, January 1, 2013

Spatially aware cell cluster(spACC1) graphs: predicting outcome in oropharyngeal pl6+ tumors.

Karabalin, R., Lewis, S., & Madabhushi, A. (2013). Spatially aware cell cluster(spACC1) graphs: predicting outcome in oropharyngeal pl6+ tumors.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 16 (Pt 1), 412-9.

Saturday, December 1, 2012

Class-specific weighting for Markov random field estimation: application to medical image segmentation.

Monaco, J., & Madabhushi, A. (2012). Class-specific weighting for Markov random field estimation: application to medical image segmentation.. Medical image analysis, 16 (8), 1477-89.

Saturday, December 1, 2012

Class-specific weighting for Markov random field estimation: application to medical image segmentation.

Monaco, J., & Madabhushi, A. (2012). Class-specific weighting for Markov random field estimation: application to medical image segmentation.. Medical image analysis, 16 (8), 1477-89.

Tuesday, October 30, 2012

Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer.

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.

Wednesday, August 1, 2012

Multifeature landmark-free active appearance models: application to prostate MRI segmentation.

Toth, R., & Madabhushi, A. (2012). Multifeature landmark-free active appearance models: application to prostate MRI segmentation.. IEEE transactions on medical imaging, 31 (8), 1638-50.

Wednesday, August 1, 2012

Multifeature landmark-free active appearance models: application to prostate MRI segmentation.

Toth, R., & Madabhushi, A. (2012). Multifeature landmark-free active appearance models: application to prostate MRI segmentation.. IEEE transactions on medical imaging, 31 (8), 1638-50.

Sunday, July 1, 2012

An integrated region-, boundary-, shape-based active contour for multiple object overlap resolution in histological imagery.

Karabalin, R., & Madabhushi, A. (2012). An integrated region-, boundary-, shape-based active contour for multiple object overlap resolution in histological imagery.. IEEE transactions on medical imaging, 31 (7), 1448-60.

Sunday, July 1, 2012

Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 Tesla endorectal, in vivo T2-weighted MR imagery.

Viswanath, S. E., Bloch, B., Chappelow, J., Toth, R., Rofsky, N., Genega, E., ... Madabhushi, A. (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.

Tuesday, May 1, 2012

A boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsies.

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.

Tuesday, May 1, 2012

High-throughput biomarker segmentation on ovarian cancer tissue microarrays via hierarchical normalized cuts.

Janowczyk, A., Chandran, S., Singh, U., Sasaroli, D., Coukos, G., Feldman, M., ... Madabhushi, A. (2012). High-throughput biomarker segmentation on ovarian cancer tissue microarrays via hierarchical normalized cuts.. IEEE transactions on bio-medical engineering, 59 (5), 1240-52.

Sunday, April 1, 2012

Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning.

Chowdhury, N., Toth, R., Chappelow, J., Kim, S., Motwani, S., Punekar, S., ... Madabhushi, A. (2012). Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning.. Medical physics, 39 (4), 2214-28.

Sunday, April 1, 2012

Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection.

Tiwari, P., Viswanath, S. E., Kurhanewicz, J., Sridharan, A., & Madabhushi, A. (2012). Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection.. NMR in biomedicine, 25 (4), 607-19.

Wednesday, February 8, 2012

Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data.

Viswanath, S. E., & Madabhushi, A. (2012). Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data.. BMC bioinformatics, 13 (), 26.

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.

Sunday, January 1, 2012

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

Sunday, January 1, 2012

Automated computer-derived prostate volumes from MR imaging data: comparison with radiologist-derived MR imaging and pathologic specimen volumes.

Bulman, J., Toth, R., Patel, S., Bloch, B., McMahon, C., Otorongo, M., ... 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.

Sunday, January 1, 2012

Image segmentation with implicit color standardization using spatially constrained expectation maximization: detection of nuclei.

Monaco, J., Hipp, J., Lucas, D., Smith, S., Balis, U., & Madabhushi, A. (2012). Image segmentation with implicit color standardization using spatially constrained expectation maximization: detection of nuclei.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 15 (Pt 1), 365-72.

Sunday, January 1, 2012

Image segmentation with implicit color standardization using spatially constrained expectation maximization: detection of nuclei.

Sunday, January 1, 2012

Integration of architectural and cytologic driven image algorithms for prostate adenocarcinoma identification.

Hipp, J., Monaco, J., Kunju, L., Cheng, J., Yagi, Y., Rodriguez-Canales, J., ... Balis, U. (2012). Integration of architectural and cytologic driven image algorithms for prostate adenocarcinoma identification.. Analytical cellular pathology (Amsterdam), 35 (4), 251-65.

Case School of Engineering

Center for Computational Imaging and Personalized Diagnostics

Center for Computational Imaging and Personalized Diagnostics Publications

Digital imaging in pathology: whole-slide imaging and beyond.

Cell orientation entropy (COrE): predicting biochemical recurrence from prostate cancer tissue microarrays.

Variable importance in nonlinear kernels (VINK): classification of digitized histopathology.

Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation

A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection.

Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation.

Spatially aware cell cluster(spACC1) graphs: predicting outcome in oropharyngeal pl6+ tumors.

Class-specific weighting for Markov random field estimation: application to medical image segmentation.

Class-specific weighting for Markov random field estimation: application to medical image segmentation.

Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer.

Multifeature landmark-free active appearance models: application to prostate MRI segmentation.

Multifeature landmark-free active appearance models: application to prostate MRI segmentation.

An integrated region-, boundary-, shape-based active contour for multiple object overlap resolution in histological imagery.

Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 Tesla endorectal, in vivo T2-weighted MR imagery.

A boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsies.

High-throughput biomarker segmentation on ovarian cancer tissue microarrays via hierarchical normalized cuts.

Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning.

Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection.

Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data.

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

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

Automated computer-derived prostate volumes from MR imaging data: comparison with radiologist-derived MR imaging and pathologic specimen volumes.

Image segmentation with implicit color standardization using spatially constrained expectation maximization: detection of nuclei.

Image segmentation with implicit color standardization using spatially constrained expectation maximization: detection of nuclei.

Integration of architectural and cytologic driven image algorithms for prostate adenocarcinoma identification.

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