Chandramouli, S., Leo, P., Lee, G., Elliott, R., Davis, C., Zhu, G., Fu, P., Epstein, J., Veltri, R., & Madabhushi, A.(2020).Computer Extracted Features from Initial H&E Tissue Biopsies Predict Disease Progression for Prostate Cancer Patients on Active Surveillance.Cancers,12(9).
Chandramouli, S., Leo, P., Lee, G., Elliott, R., Zhu, G., Veltri, R., & Madabhushi, A.(2018).MP12-17 COMPUTER EXTRACTED FEATURES OF NUCLEI SHAPE, ARCHITECTURE AND ORIENTATION FROM INITIAL H&E TISSUE BIOPSIES PREDICT DISEASE PROGRESSION FOR PROSTATE CANCER PATIENTS ON ACTIVE SURVEILLANCE.The Journal of Urology,199(4),e142-e143.
Leo, P., Gawlik, A., Zhu, G., Feldman, M., Gupta, S., Veltri, R., & Madabhushi, A.(2018).MP35-02 COMPUTER-EXTRACTED FEATURES OF NUCLEAR AND GLANDULAR MORPHOLOGY FROM DIGITAL H&E TISSUE IMAGES PREDICT PROSTATE CANCER BIOCHEMICAL RECURRENCE AND METASTASIS FOLLOWING RADICAL PROSTATECTOMY.The Journal of Urology,199(4),e446-e447.
Lee, G., Veltri, R., Zhu, G., Ali, S., Epstein, J., & Madabhushi, A.(2016).Nuclear Shape and Architecture in Benign Fields Predict Biochemical Recurrence in Prostate Cancer Patients Following Radical Prostatectomy: Preliminary Findings.European Urology Focus [24054569].
