Electrical, Computer, and Systems Engineering Publications

Sunday, August 1, 2021

Degradation mechanisms and partial shading of glass-backsheet and double-glass photovoltaic modules in three climate zones determined by remote monitoring of time-series current–voltage and power datastreams

Liu, J., Wang, M., Curran, A., Schnabel, E., Köhl, M., \customboldJennifer L. Braid, ... French, R. H. (2021). Degradation mechanisms and partial shading of glass-backsheet and double-glass photovoltaic modules in three climate zones determined by remote monitoring of time-series current–voltage and power datastreams. Solar Energy, 224 (), 1291--1301.

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, ().

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, ().

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.

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

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.

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.

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, ().

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.

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.

Tuesday, June 1, 2021

Degradation of Monofacial Double Glass and Glass Backsheet Photovoltaic Modules with Multiple Packaging Combinations

Liu, J., Venkat, S., \customboldJ. L. Braid, Yuhnke, Jr., B., Brent, B., Liu, X., ... French, R. H. (2021). Degradation of Monofacial Double Glass and Glass Backsheet Photovoltaic Modules with Multiple Packaging Combinations. , ().

Tuesday, June 1, 2021

Degradation of PERC and Al-BSF Cells with UV Cutoff and White Variations of EVA and POE Encapsulant

Curran, A., Colvin, D., Iqbal, N., Davis, K., Moran, T., Huey, B., ... French, R. H. (2021). Degradation of PERC and Al-BSF Cells with UV Cutoff and White Variations of EVA and POE Encapsulant. , ().

Tuesday, June 1, 2021

Degradation pathway modeling of PV minimodule variants with different packaging materials under indoor accelerated exposures

Venkat, S., Liu, J., Wegmueller, J., Yuhnke, Jr., B., Gould, B., Liu, X., ... French, R. H. (2021). Degradation pathway modeling of PV minimodule variants with different packaging materials under indoor accelerated exposures. IEEE, ().

Tuesday, June 1, 2021

Impact of surface passivation on UV stability of bifacial mc-Si PERC solar modules

Yuhnke, Jr., B., Jaubert, J., Wu, H., Wu, X., Jiang, F., Zhang, G., ... French, R. H. (2021). Impact of surface passivation on UV stability of bifacial mc-Si PERC solar modules. IEEE, ().

Tuesday, June 1, 2021

Properties of PV Cell Fractures and Effects on Performance of Al-BSF and PERC Modules

Whitaker, C., Pierce, B., French, R. H., & \customboldJ. L. Braid (2021). Properties of PV Cell Fractures and Effects on Performance of Al-BSF and PERC Modules. , ().

Tuesday, June 1, 2021

Toward Findable, Accessible, Interoperable and Reusable (FAIR) Photovoltaic System Time Series Data

Nihar, A., Curran, A., Karimi, A., \customboldJ. L. Braid, Bruckman, L., Koyutürk, M., ... French, R. H. (2021). Toward Findable, Accessible, Interoperable and Reusable (FAIR) Photovoltaic System Time Series Data. , ().

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.

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.

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, ().

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), ().

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.

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.

Friday, March 5, 2021

Microfluidic electrical impedance assessment of red blood cell-mediated microvascular occlusion.

Freeman, B., Maji, D., Nrasimhan, S., Ahuja, S., Little, J., Suster, M., ... Gurkan, U. (2021). Microfluidic electrical impedance assessment of red blood cell-mediated microvascular occlusion.. Lab on a chip, ().

Case School of Engineering

Electrical, Computer, and Systems Engineering

Electrical, Computer, and Systems Engineering Publications

Degradation mechanisms and partial shading of glass-backsheet and double-glass photovoltaic modules in three climate zones determined by remote monitoring of time-series current–voltage and power datastreams

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

Artificial Intelligence in Surveillance of Barrett's Esophagus

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

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

Degradation of Monofacial Double Glass and Glass Backsheet Photovoltaic Modules with Multiple Packaging Combinations

Degradation of PERC and Al-BSF Cells with UV Cutoff and White Variations of EVA and POE Encapsulant

Degradation pathway modeling of PV minimodule variants with different packaging materials under indoor accelerated exposures

Impact of surface passivation on UV stability of bifacial mc-Si PERC solar modules

Properties of PV Cell Fractures and Effects on Performance of Al-BSF and PERC Modules

Toward Findable, Accessible, Interoperable and Reusable (FAIR) Photovoltaic System Time Series Data

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

Microfluidic electrical impedance assessment of red blood cell-mediated microvascular occlusion.

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