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BMC Bioinformatics|December 21, 2011
Supervised regularized canonical correlation analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgeryAbhishek Golugula, George Lee, Stephen R Master, et al.Scientific Reports|February 19, 2016
A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk ScoresTao Wan, B Nicolas Bloch, Donna Plecha, et al.Plos One|April 4, 2018
A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissueJeffrey J Nirschl, Andrew Janowczyk, Eliot G Peyster, et al.Experimental Biology and Medicine (Maywood, N.J.)|June 4, 2009
Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imagingGabriela Lexe, James Monaco, Scott Doyle, et al.Cancer Letters|June 13, 2025
AI-based radiomic features predict outcomes and the added benefit of chemoimmunotherapy over chemotherapy in extensive stage small cell lung cancer: A multi-institutional studyMohammadhadi Khorrami, Pushkar Mutha, Cristian Barrera, et al.Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
A visual latent semantic approach for automatic analysis and interpretation of anaplastic medulloblastoma virtual slidesAngel Cruz-Roa, Fabio González, Joseph Galaro, et al.IEEE Journal of Biomedical and Health Informatics|January 27, 2022
RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to TreatmentJacob T Antunes, Marwa Ismail, Imran Hossain, et al.The Lancet. Digital Health|July 10, 2024
A prognostic and predictive computational pathology immune signature for ductal carcinoma in situ: retrospective results from a cohort within the UK/ANZ DCIS trialHaojia Li, Arpit Aggarwal, Paula Toro, et al.Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network featuresHaibo Wang, Angel Cruz-Roa, Ajay Basavanhally, et al.Journal for Immunotherapy of Cancer|October 14, 2020
Novel, non-invasive imaging approach to identify patients with advanced non-small cell lung cancer at risk of hyperprogressive disease with immune checkpoint blockadePranjal Vaidya, Kaustav Bera, Pradnya D Patil, et al.Pageof 41