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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
Hierarchical normalized cuts: unsupervised segmentation of vascular biomarkers from ovarian cancer tissue microarraysAndrew Janowczyk, Sharat Chandran, Rajendra Singh, et al.Scientific Reports|July 30, 2024
Combination of optical coherence tomography-derived shape and texture features are associated with development of sub-foveal geographic atrophy in dry AMDSudeshna Sil Kar, Hasan Cetin, Joseph Abraham, et al.Medical Physics|March 5, 2015
Multiattribute probabilistic prostate elastic registration (MAPPER): application to fusion of ultrasound and magnetic resonance imagingRachel Sparks, B Nicolas Bloch, Ernest Feleppa, et al.Research Square|January 18, 2024
Computational Image and Molecular Analysis Reveal Unique Prognostic Features of Immune Architecture in African Versus European American Women with Endometrial CancerAnant Madabhushi, Sepideh Azarianpour-Esfahani, Sirvan Khalighi, et al.IEEE Reviews in Biomedical Engineering|July 31, 2010
Histopathological image analysis: a reviewMetin N Gurcan, Laura E Boucheron, Ali Can, et al.Journal of Medical Imaging (Bellingham, Wash.)|November 3, 2016
Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide imagesPatrick Leo, George Lee, Natalie N C Shih, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRIPratik Patel, Jonathan Chappelow, John Tomaszewski, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Supervised regularized canonical correlation analysis: integrating histologic and proteomic data for predicting biochemical failuresAbhishek Golugula, George Lee, Stephen R Master, et al.Breast Cancer Research : BCR|October 19, 2019
Quantitative nuclear histomorphometric features are predictive of Oncotype DX risk categories in ductal carcinoma in situ: preliminary findingsHaojia Li, Jon Whitney, Kaustav Bera, et al.Frontiers in Cardiovascular Medicine|October 24, 2022
Machine learning derived ECG risk score improves cardiovascular risk assessment in conjunction with coronary artery calcium scoringShruti Siva Kumar, Sadeer Al-Kindi, Nour Tashtish, et al.Pageof 41