Center for Computational Imaging and Personalized Diagnostics Publications

Friday, February 1, 2019

Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images

Xue, Z., Gong, L., Wang, G., Lu, C., Gilmore, H., Zhang, S., ... Madabhushi, A. (2019). Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images. Journal of Medical Imaging, 6 (01), 1.

Tuesday, January 15, 2019

Quantitative Image Analysis of Human Epidermal Growth Factor Receptor 2 Immunohistochemistry for Breast Cancer: Guideline From the College of American Pathologists

Bui, M., Riben, M., Allison, K., Chlipala, E., Colasacco, C., Kahn, A., ... Hammond, M. (2019). Quantitative Image Analysis of Human Epidermal Growth Factor Receptor 2 Immunohistochemistry for Breast Cancer: Guideline From the College of American Pathologists. Archives of Pathology and Laboratory Medicine, ().

Tuesday, January 1, 2019

HistoQC: An open-source quality control tool for digital pathology slides

Janowczyk, A., Zuo, R., Gilmore, H., Feldman, M., & Madabhushi, A. (2019). HistoQC: An open-source quality control tool for digital pathology slides. JCO Clinical Cancer Informatics, 3 ().

Tuesday, January 1, 2019

HistoQC: An open-source quality control tool for digital pathology slides

Janowczyk, A., Zuo, R., Gilmore, H., Feldman, M., & Madabhushi, A. (2019). HistoQC: An open-source quality control tool for digital pathology slides. JCO Clinical Cancer Informatics, 3 ().

Tuesday, January 1, 2019

Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis

Chen, Y., Janowczyk, A., & Madabhushi, A. (2019). Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis. JCO Clinical Cancer Informatics, 3 (), 221-233.

Tuesday, January 1, 2019

Computational Histomorphometric Classifier Identifies Higher Risk Patients Who Might Benefit from Adjuvant Radiation within Clinically Defined" Low-Risk" Oral Cavity Squamous Cell Carcinomas

Lu, C., Bera, K., WAng, X., Lewis, J., & Madabhushi, A. (2019). Computational Histomorphometric Classifier Identifies Higher Risk Patients Who Might Benefit from Adjuvant Radiation within Clinically Defined" Low-Risk" Oral Cavity Squamous Cell Carcinomas. , 99 ().

Tuesday, January 1, 2019

Computerized nuclear morphometric features from H\&E slide images are prognostic of recurrence and predictive of added benefit of adjuvant chemotherapy in early stage non-small cell lung cancer

WAng, X., Barrera, C., Lu, C., Yang, M., Velcheti, V., & Madabhushi, A. (2019). Computerized nuclear morphometric features from H\&E slide images are prognostic of recurrence and predictive of added benefit of adjuvant chemotherapy in early stage non-small cell lung cancer. , 99 ().

Tuesday, January 1, 2019

Computerized Quantitation of Tumor Cell Multinucleation is Strongly Prognostic for p16-Positive Oropharyngeal Squamous Cell Carcinoma

Lewis, J., Zhang, Z., Xue, Z., Lu, C., Bishop, J., & Madabhushi, A. (2019). Computerized Quantitation of Tumor Cell Multinucleation is Strongly Prognostic for p16-Positive Oropharyngeal Squamous Cell Carcinoma. , 99 ().

Tuesday, January 1, 2019

Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score

Li, L., Shiradkar, R., Algohary, A., Leo, P., Magi-Galluzzi, C., Klein, E., ... Madabhushi, A. (2019). Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score. , 10950 ().

Tuesday, January 1, 2019

Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images

Tuesday, January 1, 2019

Spatial arrangement of leakage patterns in diabetic macular edema is associated with tolerance of aflibercept treatment interval length: preliminary findings

Prasanna, P., Ehlers, J., Bobba, V., Figueredo, N., Lu, C., Sharma, S., ... Madabhushi, A. (2019). Spatial arrangement of leakage patterns in diabetic macular edema is associated with tolerance of aflibercept treatment interval length: preliminary findings. , 10953 (), 1095311.

Saturday, December 1, 2018

Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings

Shiradkar, R., Ghose, S., Jambor, I., Taimen, P., Ettala, O., Purysko, A., ... Madabhushi, A. (2018). Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings. Journal of Magnetic Resonance Imaging, 48 (6), 1626-1636.

Saturday, December 1, 2018

Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer

Whitney, J., Corredor-Prada, G., Janowczyk, A., Ganesan, S., Doyle, S., Tomaszewski, J., ... Madabhushi, A. (2018). Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer. BMC Cancer, 18 (1).

Saturday, December 1, 2018

Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas

Alilou, M., Orooji, M., Beig, N., Prasanna, P., Rajiah, P., Donatelli, C., ... Madabhushi, A. (2018). Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas. Scientific Reports, 8 (1).

Saturday, December 1, 2018

Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma

Beig, N., Patel, S., Prasanna, P., Hill, V., Gupta, A., Correa, R., ... Tiwari, P. (2018). Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma. Scientific Reports, 8 (1).

Saturday, December 1, 2018

Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study

Leo, P., Elliott, R., Shih, N., Gupta, S., Feldman, M., & Madabhushi, A. (2018). Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study. Scientific Reports, 8 (1).

Thursday, November 1, 2018

Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers

Lu, C., Romo-Bucheli, D., WAng, X., Janowczyk, A., Ganesan, S., Gilmore, H., ... Madabhushi, A. (2018). Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers. Laboratory Investigation, 98 (11), 1438-1448.

Monday, September 10, 2018

Spatial architecture and arrangement of tumor-infiltrating lymphocytes for predicting likelihood of recurrence in early-stage non-small cell lung cancer

Corredor, G., WAng, X., Zhou, Y., Lu, C., Fu, P., Syrigos, K., ... Madabhushi, A. (2018). Spatial architecture and arrangement of tumor-infiltrating lymphocytes for predicting likelihood of recurrence in early-stage non-small cell lung cancer. Clinical Cancer Research, ().

Saturday, September 1, 2018

Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings

Algohary, A., Viswanath, S. E., Shiradkar, R., Ghose, S., Pahwa, S., Moses, D., ... Madabhushi, A. (2018). Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings. Journal of Magnetic Resonance Imaging, 48 (3), 818-828.

Friday, August 31, 2018

Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings

Penzias, G., Singanamalli, A., Elliott, R., Gollamudi, J., Shih, N., Feldman, M., ... Madabhushi, A. (2018). Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings. PLoS ONE, 13 (8).

Sunday, July 1, 2018

Abstract LB-021: Combination of quantitative histomorphometry with NF?B/p65 nuclear localization is better predictor of biochemical recurrence in prostate cancer patients

Leo, P., Shankar, E., Elliott, R., Janowczyk, A., Janaki, N., MacLennan, G., ... Gupta, S. (2018). Abstract LB-021: Combination of quantitative histomorphometry with NF?B/p65 nuclear localization is better predictor of biochemical recurrence in prostate cancer patients. Cancer Research, 78 (13 Supplement), LB-021-LB-021.

Friday, June 29, 2018

Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers

Wednesday, June 20, 2018

Advances in the computational and molecular understanding of the prostate cancer cell nucleus: CARLETON et al.

Carleton, N., Lee, G., Madabhushi, A., & Veltri, R. (2018). Advances in the computational and molecular understanding of the prostate cancer cell nucleus: CARLETON et al.. Journal of Cellular Biochemistry, ().

Wednesday, May 30, 2018

Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer

Thursday, May 24, 2018

High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection

Cruz-Roa, A., Gilmore, H., Basavanhally, A., Feldman, M., Ganesan, S., Shih, N., ... 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).

Case School of Engineering

Center for Computational Imaging and Personalized Diagnostics

Center for Computational Imaging and Personalized Diagnostics Publications

Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images

Quantitative Image Analysis of Human Epidermal Growth Factor Receptor 2 Immunohistochemistry for Breast Cancer: Guideline From the College of American Pathologists

HistoQC: An open-source quality control tool for digital pathology slides

HistoQC: An open-source quality control tool for digital pathology slides

Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis

Computational Histomorphometric Classifier Identifies Higher Risk Patients Who Might Benefit from Adjuvant Radiation within Clinically Defined" Low-Risk" Oral Cavity Squamous Cell Carcinomas

Computerized nuclear morphometric features from H\&E slide images are prognostic of recurrence and predictive of added benefit of adjuvant chemotherapy in early stage non-small cell lung cancer

Computerized Quantitation of Tumor Cell Multinucleation is Strongly Prognostic for p16-Positive Oropharyngeal Squamous Cell Carcinoma

Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score

Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images

Spatial arrangement of leakage patterns in diabetic macular edema is associated with tolerance of aflibercept treatment interval length: preliminary findings

Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings

Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer

Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas

Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma

Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study

Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers

Spatial architecture and arrangement of tumor-infiltrating lymphocytes for predicting likelihood of recurrence in early-stage non-small cell lung cancer

Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings

Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings

Abstract LB-021: Combination of quantitative histomorphometry with NF?B/p65 nuclear localization is better predictor of biochemical recurrence in prostate cancer patients

Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers

Advances in the computational and molecular understanding of the prostate cancer cell nucleus: CARLETON et al.

Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer

High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection

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