Showing results (71-80 of 406) with videos related to
Sort By:
Pageof 41
IEEE Transactions on Medical Imaging|July 18, 2015
Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital PathologyShoshana B Ginsburg, George Lee, Sahirzeeshan Ali, et al.Journal of Medical Imaging (Bellingham, Wash.)|February 13, 2016
Association of computerized texture features on MRI with early treatment response following laser ablation for neuropathic cancer pain: preliminary findingsPallavi Tiwari, Shabbar F Danish, Benjamin Jiang, et al.Journal of Medical Imaging (Bellingham, Wash.)|April 7, 2017
Connecting Markov random fields and active contour models: application to gland segmentation and classificationJun Xu, James P Monaco, Rachel Sparks, et al.BMC Medical Imaging|January 7, 2017
Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-casesSatish E Viswanath, Pallavi Tiwari, George Lee, et al.Neurocomputing|September 17, 2014
A Learning Based Fiducial-driven Registration Scheme for Evaluating Laser Ablation Changes in Neurological DisordersTao Wan, B Nicolas Bloch, Shabbar Danish, et al.Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|October 20, 2007
Detecting prostatic adenocarcinoma from digitized histology using a multi-scale hierarchical classification approachScott Doyle, Carlos Rodriguez, Anant Madabhushi, et al.Neurocomputing|February 4, 2017
A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological imagesJun Xu, Xiaofei Luo, Guanhao Wang, et al.JCO Clinical Cancer Informatics|April 17, 2019
HistoQC: An Open-Source Quality Control Tool for Digital Pathology SlidesAndrew Janowczyk, Ren Zuo, Hannah Gilmore, et al.European Radiology|October 26, 2016
Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findingsPrateek Prasanna, Jay Patel, Sasan Partovi, et al.Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Variable importance in nonlinear kernels (VINK): classification of digitized histopathologyShoshana Ginsburg, Sahirzeeshan Ali, George Lee, et al.Pageof 41