Center for Computational Imaging and Personalized Diagnostics Publications

Thursday, July 29, 2021

Characterization of Ultra-widefield Angiographic Vascular Features in Diabetic 2 Retinopathy with Automated Severity Classification

Sevgi, D., Srivastava, S., Whitney, J., O’Connell, M., Sil Kar, S., Hu, M., ... Ehlers, J. (2021). Characterization of Ultra-widefield Angiographic Vascular Features in Diabetic 2 Retinopathy with Automated Severity Classification. Ophthalmology Science, ().
DOI: 10.1016/j.xops.2021.100049

Monday, July 19, 2021

Quick Annotator: an open-source digital pathology based rapid image annotation tool

Miao, R., Toth, R., Zhou, Y., Madabhushi, A., & Janowczyk, A. (2021). Quick Annotator: an open-source digital pathology based rapid image annotation tool. The Journal of Pathology: Clinical Research, ().
DOI: 10.1002/cjp2.229

Tuesday, July 13, 2021

Computational pathology reveals unique spatial patterns of immune response in H&E images from COVID-19 autopsies: preliminary findings

Corredor-Prada, G., Toro, P., Bera, K., Rasmussen, D., Sankar Viswanathan, V., Buzzy, C., ... Madabhushi, A. (2021). Computational pathology reveals unique spatial patterns of immune response in H&E images from COVID-19 autopsies: preliminary findings. Journal of Medical Imaging, 8 (Suppl 1), 017501.

Monday, July 12, 2021

A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer

Wang, X., Bera, K., Barrera, C., Zhou, Y., Lu, C., Vaidya, P., ... Madabhushi, A. (2021). A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer. EBioMedicine, (69), 103481.
DOI:

Monday, July 12, 2021

Multi-Compartment Spatially-derived Radiomics from Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary Findings

Sil Kar, S., Sevgi, D., Dong, V., Srivastava, S., Madabhushi, A., & Ehlers, J. (2021). Multi-Compartment Spatially-derived Radiomics from Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary Findings. IEEE Journal of Translational Engineering in Health and Medicine, ().

Thursday, July 1, 2021

An integrated nomogram combining deep learning, Prostate Imaging–Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study

Hiremath, A., Shiradkar, R., Fu, P., Mahran, A., Rastinehad, A., Tewari, A., ... Madabhushi, A. (2021). An integrated nomogram combining deep learning, Prostate Imaging–Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study. The Lancet Digital Health, 3 (7), E445 - E454.
DOI: 10.1016/S2589-7500(21)00082-0

Thursday, July 1, 2021

Artificial Intelligence in Surveillance of Barrett's Esophagus

Madabhushi, A., Toro, P., & Willis, J. (2021). Artificial Intelligence in Surveillance of Barrett's Esophagus. Cancer Research, 81 (13), 3446 - 3448.
DOI: 10.1158/0008-5472.can-21-1511

Thursday, June 24, 2021

Quality control stress test for deep learning-based diagnostic model in digital pathology

Schömig-Markiefka , B., Pryalukhin, A., Hulla, W., Bychkov, A., Fukuoka, J., Madabhushi, A., ... Tolkach, Y. (2021). Quality control stress test for deep learning-based diagnostic model in digital pathology. Modern Pathology, ().
DOI: 10.1038/s41379-021-00859-x

Monday, June 21, 2021

An automated computational image analysis pipeline for histological grading of cardiac allograft rejection

Peyster, E., Arabyarmohammadi , S., Janowczyk, A., Azarianpour-Esfahani, S., Sekulic, M., Cassol, C., ... Madabhushi, A. (2021). An automated computational image analysis pipeline for histological grading of cardiac allograft rejection. European Heart Journal, 42 (24), 2356-2369.
DOI: 10.1093/eurheartj/ehab241

Thursday, June 10, 2021

Deep Learning-Based Cancer Region Segmentation from H&E Slides for HPV-Related Oropharyngeal Squamous Cell Carcinomas

Lu, C., Koyuncu, C., Janowczyk, A., Griffith, C., Chute, D., Lewis, J., ... Madabhushi, A. (2021). Deep Learning-Based Cancer Region Segmentation from H&E Slides for HPV-Related Oropharyngeal Squamous Cell Carcinomas. Springer International Publishing, ().

Thursday, June 3, 2021

A Novel Nodule Edge Sharpness Radiomic Biomarker Improves Performance of Lung-RADS for Distinguishing Adenocarcinomas from Granulomas on Non-Contrast CT Scans

Alilou, M., Prasanna, P., Bera, K., Gupta, A., Rajiah, P., Yang, M., ... Madabhushi, A. (2021). A Novel Nodule Edge Sharpness Radiomic Biomarker Improves Performance of Lung-RADS for Distinguishing Adenocarcinomas from Granulomas on Non-Contrast CT Scans. Cancers, 13 (11), 2781.
DOI: 10.3390/cancers13112781

Monday, May 3, 2021

Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study

Leo, P., Janowczyk, A., Elliott, R., Janaki, N., Bera, K., Shiradkar, R., ... Madabhushi, A. (2021). Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study. NPJ Precision Oncology, 5 (1), 35.
DOI: 10.1038/s41698-021-00174-3

Saturday, May 1, 2021

Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans

Khorrami, M., Bera, K., Thawani, R., Rajiah, P., Gupta, A., Fu, P., ... Madabhushi, A. (2021). Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans. European Journal of Cancer, 148 (), 146 - 158.
DOI: 10.1016/j.ejca.2021.02.008

Friday, April 30, 2021

Computationally Derived Cribriform Area Index from Prostate Cancer Hematoxylin and Eosin Images Is Associated with Biochemical Recurrence Following Radical Prostatectomy and Is Most Prognostic in Gleason Grade Group 2

Leo, P., Chandramouli, S., Farre, X., Elliott, R., Janowczyk, A., Bera, K., ... Madabhushi, A. (2021). Computationally Derived Cribriform Area Index from Prostate Cancer Hematoxylin and Eosin Images Is Associated with Biochemical Recurrence Following Radical Prostatectomy and Is Most Prognostic in Gleason Grade Group 2. European Urology Focus, ().
DOI: 10.1016/j.euf.2021.04.016

Friday, April 16, 2021

Prospective Evaluation of Repeatability and Robustness of Radiomic Descriptors in Healthy Brain Tissue Regions In Vivo Across Systematic Variations in T2-Weighted Magnetic Resonance Imaging Acquisition Parameters

Eck, B., Chirra, P., Muchhala, A., Hall, S., Bera, K., Tiwari, P., ... Viswanath, S. E. (2021). Prospective Evaluation of Repeatability and Robustness of Radiomic Descriptors in Healthy Brain Tissue Regions In Vivo Across Systematic Variations in T2-Weighted Magnetic Resonance Imaging Acquisition Parameters. Journal of Magnetic Resonance Imaging (JMRI), ().
DOI: 10.1002/jmri.27635

Thursday, April 15, 2021

Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma

Koyuncu, C., Lu, C., Bera, K., Zhang, Z., Xue, Z., Toro, P., ... Madabhushi, A. (2021). Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma. The Journal of Clinical Investigation, 131 (8), e145488.
DOI: 10.1172/jci145488

Tuesday, March 9, 2021

A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT

Atta-Fosu, T., LaBarbara, M., Ghose, S., Schoenhagen, P., Saliba, W., Tchou, P., ... Madabhushi, A. (2021). A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT. BMC Medical Imaging, 21 (1), 45.
DOI:

Monday, March 1, 2021

Harnessing non-destructive 3D pathology

Liu, J., Glaser, A., Bera, K., True, L., Reder, N., Eliceiri, K., ... Madabhushi, A. (2021). Harnessing non-destructive 3D pathology. Nature Biomedical Engineering, 5 (3), 203 - 218.
DOI: 10.1038/s41551-020-00681-x

Monday, March 1, 2021

Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation

Firouznia, M., Feeney, A., LaBarbera, M., McHale, M., Cantlay, C., Kalfas, N., ... Madabhushi, A. (2021). Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation. Circulation: Arrhythmia and Electrophysiology, 14 (3), e009265.

Monday, March 1, 2021

Assessment of a computerized quantitative quality control tool for whole slide images of kidney biopsies

Chen, Y., Zee, J., Smith, A., Jayapandian, C., Hodgin, J., Howell, D., ... Janowczyk, A. (2021). Assessment of a computerized quantitative quality control tool for whole slide images of kidney biopsies. Journal of Pathology, 253 (3), 268-278.

Friday, February 26, 2021

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

Zhou, K., Greenspan, H., Davatzikos, C., Duncan, J., Van Ginneken, B., Madabhushi, A., ... Summers, R. (2021). A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. Proceedings of the IEEE, 109 (5), 820 - 838.
DOI: 10.1109/JPROC.2021.3054390

Monday, February 1, 2021

Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers

Lu, C., Koyuncu, C., Corredor-Prada, G., Prasanna, P., Leo, P., WAng, X., ... Madabhushi, A. (2021). Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers. Medical Image Analysis, 68 ().

Friday, January 1, 2021

Development and evaluation of deep learningbased segmentation of histologic structures in the kidney cortex with multiple histologic stains

Jayapandian, C., Chen, Y., Janowczyk, A., Palmer, M., Cassol, C., Sekulic, M., ... Adler, S. (2021). Development and evaluation of deep learningbased segmentation of histologic structures in the kidney cortex with multiple histologic stains. Kidney International, 99 (1), 86-101.

Friday, January 1, 2021

A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer

WAng, X., Bera, K., Barrera, C., Zhou, Y., Lu, C., Vaidya, P., ... Madabhushi, A. (2021). A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer. EBIOMEDICINE, 69 ().

Friday, January 1, 2021

Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps

Hiremath, A., Shiradkar, R., Merisaari, H., Prasanna, P., Ettala, O., Taimen, P., ... Madabhushi, A. (2021). Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps. European Radiology, 31 (1), 379-391.

Case School of Engineering

Center for Computational Imaging and Personalized Diagnostics

Center for Computational Imaging and Personalized Diagnostics Publications

Characterization of Ultra-widefield Angiographic Vascular Features in Diabetic 2 Retinopathy with Automated Severity Classification

Quick Annotator: an open-source digital pathology based rapid image annotation tool

Computational pathology reveals unique spatial patterns of immune response in H&E images from COVID-19 autopsies: preliminary findings

A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer

Multi-Compartment Spatially-derived Radiomics from Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary Findings

An integrated nomogram combining deep learning, Prostate Imaging–Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study

Artificial Intelligence in Surveillance of Barrett's Esophagus

Quality control stress test for deep learning-based diagnostic model in digital pathology

An automated computational image analysis pipeline for histological grading of cardiac allograft rejection

Deep Learning-Based Cancer Region Segmentation from H&E Slides for HPV-Related Oropharyngeal Squamous Cell Carcinomas

A Novel Nodule Edge Sharpness Radiomic Biomarker Improves Performance of Lung-RADS for Distinguishing Adenocarcinomas from Granulomas on Non-Contrast CT Scans

Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study

Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans

Computationally Derived Cribriform Area Index from Prostate Cancer Hematoxylin and Eosin Images Is Associated with Biochemical Recurrence Following Radical Prostatectomy and Is Most Prognostic in Gleason Grade Group 2

Prospective Evaluation of Repeatability and Robustness of Radiomic Descriptors in Healthy Brain Tissue Regions In Vivo Across Systematic Variations in T2-Weighted Magnetic Resonance Imaging Acquisition Parameters

Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma

A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT

Harnessing non-destructive 3D pathology

Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation

Assessment of a computerized quantitative quality control tool for whole slide images of kidney biopsies

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers

Development and evaluation of deep learningbased segmentation of histologic structures in the kidney cortex with multiple histologic stains

A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer

Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps

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