Separation of Benign and Malignant Glands in Prostatic Adenocarcinoma. - Sabrina Rashid; Ladan Fazli; Alexander Boag; Robert Siemens; Purang Abolmaesumi; Septimiu E. Salcudean (MICCAI (3), 2013)

Multi-parametric 3D Quantitative Ultrasound Vibro-Elastography Imaging for Detecting Palpable Prostate Tumors. - Omid Mohareri; Angelica Ruszkowski; Julio Lobo; Joseph Ischia; Ali Baghani; Guy Nir; Hani Eskandari; Edward C. Jones; Ladan Fazli; Larry Goldenberg; Mehdi Moradi; Septimiu E. Salcudean (MICCAI (1), 2014)

Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts. - Guy Nir; Soheil Hor; Davood Karimi; Ladan Fazli; Brian F. Skinnider; Peyman Tavassoli; Dmitry Turbin; Carlos F. Villamil; Gang Wang; R. Storey Wilson; Kenneth A. Iczkowski; M. Scott Lucia; et al. (Medical Image Anal., 2018)

Automatic pathology of prostate cancer in whole mount slides incorporating individual gland classification. - Sabrina Rashid; Guy Nir; Ladan Fazli; Alexander H. Boag; D. Robert Siemens; S. Larry Goldenberg; Purang Abolmaesumi; Septimiu E. Salcudean (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)

Improving prostate cancer classification in H&E tissue micro arrays using Ki67 and P63 histopathology. - Yanan Shao; Guy Nir; Ladan Fazli; Larry Goldenberg; Martin E. Gleave; Peter C. Black; Zhen Jane Wang 001; Septimiu E. Salcudean (Comput. Biol. Medicine, 2020)

Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images - Role of Multiscale Decision Aggregation and Data Augmentation. - Davood Karimi; Guy Nir; Ladan Fazli; Peter C. Black; Larry Goldenberg; Septimiu E. Salcudean (IEEE J. Biomed. Health Informatics, 2020)

Multi-scale relational graph convolutional network for multiple instance learning in histopathology images. - Roozbeh Bazargani; Ladan Fazli; Martin E. Gleave; Larry Goldenberg; Ali Bashashati; Septimiu E. Salcudean (Medical Image Anal., 2024)