Andrew Janowczyk

Affiliations: 
Bioengineering Case Western Reserve University, Cleveland Heights, OH, United States 
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"Andrew Janowczyk"
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Lu C, Bera K, Wang X, et al. (2020) A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study. The Lancet. Digital Health. 2: e594-e606
Shiradkar R, Panda A, Leo P, et al. (2020) Correction to: T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology. European Radiology
Shiradkar R, Panda A, Leo P, et al. (2020) T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology. European Radiology
Jayapandian CP, Chen Y, Janowczyk AR, et al. (2020) Development and evaluation of deep learning-based segmentation of histologic structures in the kidney cortex with multiple histologic stains. Kidney International
Chen Y, Janowczyk A, Madabhushi A. (2020) Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis. Jco Clinical Cancer Informatics. 4: 221-233
Bhargava HK, Leo P, Elliott R, et al. (2020) Computationally Derived Image Signature of Stromal Morphology Is Prognostic of Prostate Cancer Recurrence Following Prostatectomy in African American Patients. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research
Janowczyk A, Zuo R, Gilmore H, et al. (2019) HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides. Jco Clinical Cancer Informatics. 1-7
Lu C, Romo-Bucheli D, Wang X, et al. (2018) Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers. Laboratory Investigation; a Journal of Technical Methods and Pathology
Whitney J, Corredor G, Janowczyk A, et al. (2018) Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer. Bmc Cancer. 18: 610
Janowczyk A, Doyle S, Gilmore H, et al. (2018) A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images. Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization. 6: 270-276
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