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Nature Medicine|November 27, 2023
A population-level digital histologic biomarker for enhanced prognosis of invasive breast cancerMohamed Amgad, James M Hodge, Maha A T Elsebaie, et al.
NPJ Digital Medicine|July 16, 2019
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilizationPegah Khosravi, Ehsan Kazemi, Qiansheng Zhan, et al.
Hong Kong Medical Journal = Xianggang Yi Xue Za Zhi|June 5, 2013
Late presentation of simple virilising 21-hydroxylase deficiency in a Chinese woman with Turner's syndromeK F Lee, Angel O K Chan, Juliana M C Fok, et al.
Neuro-Oncology|March 18, 2016
Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patientsJames S Cordova, Hui-Kuo G Shu, Zhongxing Liang, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|April 26, 2023
A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment CharacterizationRuichen Rong, Hudanyun Sheng, Kevin W Jin, et al.
Molecular Pharmacology|January 15, 2017
AKT1, LKB1, and YAP1 Revealed as MYC Interactors with NanoLuc-Based Protein-Fragment Complementation AssayXiulei Mo, Qi Qi, Andrei A Ivanov, et al.
Scientific Reports|November 17, 2017
5-Aminolevulinic Acid Guided Sampling of Glioblastoma Microenvironments Identifies Pro-Survival Signaling at Infiltrative MarginsJames L Ross, Lee A D Cooper, Jun Kong, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|February 28, 2023
An Automated Pipeline for Differential Cell Counts on Whole-Slide Bone Marrow Aspirate SmearsJoshua E Lewis, Conrad W Shebelut, Bradley R Drumheller, et al.
IEEE Transactions on Bio-Medical Engineering|September 28, 2011
Integrative, multimodal analysis of glioblastoma using TCGA molecular data, pathology images, and clinical outcomesJun Kong, Lee A D Cooper, Fusheng Wang, et al.
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers|October 21, 2014
Digital Pathology: Data-Intensive Frontier in Medical Imaging: Health-information sharing, specifically of digital pathology, is the subject of this paper which discusses how sharing the rich images in pathology can stretch the capabilities of all otherwise well-practiced disciplinesLee A D Cooper, Alexis B Carter, Alton B Farris, et al.
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