Evaluating stability of histomorphometric features across scanner and staining variations: predicting biochemical recurrence from prostate cancer whole slide images. - Patrick Leo; George Lee 002; Anant Madabhushi (Digital Pathology, 2016)

Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI. - Prathyush Chirra; Patrick Leo; Michael Yim; B. Nicolas Bloch; Ardeshir R. Rastinehad; Andrei S. Purysko; Mark Rosen; Anant Madabhushi; Satish Viswanath (Computer-Aided Diagnosis, 2018)

Combination of nuclear NF-κB/p65 localization and gland morphological features from surgical specimens appears to be predictive of early biochemical recurrence in prostate cancer patients. - Patrick Leo; Eswar Shankar; Robin Elliott; Andrew Janowczyk; Anant Madabhushi; Sanjay Gupta (Digital Pathology, 2018)

Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score. - Lin Li; Rakesh Shiradkar; Ahmad Algohary; Patrick Leo; Cristina Magi-Galluzzi; Eric Klein; Andrei S. Purysko; Anant Madabhushi (Computer-Aided Diagnosis, 2019)

Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation. - Sara ArabYarmohammadi; Zelin Zhang; Patrick Leo; Marjan Firouznia; Andrew Janowczyk; Haojia Li; Nathaniel M. Braman; Kaustav Bera; Behtash G. Nezami; Howard Meyerson; Jun Xu 005; Leland Metheny; et al. (Digital Pathology, 2020)

Computer extracted features related to the spatial arrangement of tumor-infiltrating lymphocytes predict overall survival in epithelial ovarian cancer receiving adjuvant chemotherapy. - Sepideh Azarianpour; Germán Corredor; Kaustav Bera; Patrick Leo; Nathaniel Braman; Pingfu Fu; Haider Mahdi; Anant Madabhushi (Digital Pathology, 2020)

Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores. - Ruiwen Ding; Prateek Prasanna; Germán Corredor; Cheng Lu 001; Priya Velu; Khoi Le; Patrick Leo; Niha G. Beig; Vamsidhar Velcheti; David L. Rimm; Kurt A. Schalper; Anant Madabhushi (Digital Pathology, 2020)

Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer. - Can Fahrettin Koyuncu; Andrew Janowczyk; Cheng Lu 001; Patrick Leo; Mehdi Alilou; Adam K. Glaser; Nicholas P. Reder; Jonathan T. C. Liu; Anant Madabhushi (Digital Pathology, 2020)

Texture features distinguish benign cell clusters from adenocarcinomas on bile duct brushing cytology images. - Shayan Monabbati; Patrick Leo; Kaustav Bera; Behtash G. Nezami; Claire W. Michael; Aparna Harbhajanka; Anant Madabhushi (Digital Pathology, 2020)

SPARTA: An Integrated Stability, Discriminability, and Sparsity Based Radiomic Feature Selection Approach. - Amir Reza Sadri; Sepideh Azarianpour Esfahani; Prathyush Chirra; Jacob Antunes; Pavithran Pattiam Giriprakash; Patrick Leo; Anant Madabhushi; Satish E. Viswanath (MICCAI (3), 2021)

Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers. - Cheng Lu 001; Can Koyuncu 001; Germán Corredor; Prateek Prasanna; Patrick Leo; Xiangxue Wang; Andrew Janowczyk; Kaustav Bera; James S. Lewis Jr.; Vamsidhar Velcheti; Anant Madabhushi (Medical Image Anal., 2021)

Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers. - Nathaniel Braman; Prateek Prasanna; Kaustav Bera; Mehdi Alilou; Mohammadhadi Khorrami; Patrick Leo; Maryam Etesami; Manasa Vulchi; Paulette Turk; Amit Gupta; Prantesh Jain; Pingfu Fu; et al. (CoRR, 2022)

Automatic myeloblast segmentation in acute myeloid leukemia images based on adversarial feature learning. - Zelin Zhang; Sara ArabYarmohammadi; Patrick Leo; Howard Meyerson; Leland Metheny; Jun Xu 005; Anant Madabhushi (Comput. Methods Programs Biomed., 2024)