Pina C. Sanelli

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 10

Top Topics

Image Denoising

Medical Imaging

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

Publications

Anh T. Tran, Tal Ze'evi, Stefan P. Haider, Gaby Abou Karam, Elisa R. Berson, Hishan Tharmaseelan, Adnan I. Qureshi, Pina C. Sanelli, David J. Werring, Ajay Malhotra, Nils H. Petersen, Adam DeHavenon, Guido J. Falcone, Kevin N. Sheth, Seyedmehdi Payabvash
Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. npj Digit. Medicine 7 (1) (2024)
Nguyen P. Nguyen, Youngjin Yoo, Andrei Chekkoury, Eva Eibenberger, Thomas J. Re, Jyotipriya Das, Abishek Balachandran, Yvonne W. Lui, Pina C. Sanelli, Thomas J. Schroeppel, Uttam Bodanapally, Savvas Nicolaou, Tommi A. White, Filiz Bunyak, Dorin Comaniciu, Eli Gibson
Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans. ICCVW (2021)
Shikha Chaganti, Abishek Balachandran, Guillaume Chabin, Stuart Cohen, Thomas Flohr, Bogdan Georgescu, Philippe Grenier, Sasa Grbic, Siqi Liu, François Mellot, Nicolas Murray, Savvas Nicolaou, William Parker, Thomas J. Re, Pina C. Sanelli, Alexander W. Sauter, Zhoubing Xu, Youngjin Yoo, Valentin Ziebandt, Dorin Comaniciu
Quantification of Tomographic Patterns associated with COVID-19 from Chest CT. CoRR (2020)
Bogdan Georgescu, Shikha Chaganti, Gorka Bastarrika Aleman, Eduardo Jose Mortani Barbosa Jr., Jordi Broncano Cabrero, Guillaume Chabin, Thomas Flohr, Philippe Grenier, Sasa Grbic, Nakul Gupta, François Mellot, Savvas Nicolaou, Thomas J. Re, Pina C. Sanelli, Alexander W. Sauter, Youngjin Yoo, Valentin Ziebandt, Dorin Comaniciu
Machine Learning Automatically Detects COVID-19 using Chest CTs in a Large Multicenter Cohort. CoRR (2020)
Peng Liu, Mohammad D. El Basha, Yangjunyi Li, Yao Xiao, Pina C. Sanelli, Ruogu Fang
Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising. Medical Image Anal. 54 (2019)
Ruogu Fang, Ajay Gupta, Junzhou Huang, Pina C. Sanelli
TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion. Neurocomputing 229 (2017)
Yao Xiao, Ajay Gupta, Pina C. Sanelli, Ruogu Fang
STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion. MLMI@MICCAI (2017)
Ruogu Fang, Ajay Gupta, Pina C. Sanelli
Direct estimation of permeability maps for low-dose CT perfusion. ISBI (2016)
Ruogu Fang, Shaoting Zhang, Tsuhan Chen, Pina C. Sanelli
Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization. IEEE Trans. Medical Imaging 34 (7) (2015)
Ruogu Fang, Tsuhan Chen, Dimitris N. Metaxas, Pina C. Sanelli, Shaoting Zhang
Sparsity techniques in medical imaging. Comput. Medical Imaging Graph. 46 (2015)
Ruogu Fang, Kolbeinn Karlsson, Tsuhan Chen, Pina C. Sanelli
Improving low-dose blood-brain barrier permeability quantification using sparse high-dose induced prior for Patlak model. Medical Image Anal. 18 (6) (2014)
Ruogu Fang, Pina C. Sanelli, Shaoting Zhang, Tsuhan Chen
Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion. MICCAI (1) (2014)
Ruogu Fang, Tsuhan Chen, Pina C. Sanelli
Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion. MICCAI (1) (2013)
Ruogu Fang, Tsuhan Chen, Pina C. Sanelli
Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning. Medical Image Anal. 17 (4) (2013)
Ruogu Fang, Tsuhan Chen, Pina C. Sanelli
Sparsity-Based Deconvolution of Low-Dose Perfusion CT Using Learned Dictionaries. MICCAI (1) (2012)
Ruogu Fang, Tsuhan Chen, Pina C. Sanelli
Sparsity-based deconvolution of low-dose brain perfusion CT in subarachnoid hemorrhage patients. ISBI (2012)