Pina C. Sanelli

According to our database, Pina C. Sanelli authored at least 17 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan.

Tran Anh Tuan, 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

npj Digit. Medicine, 2024

2021

Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Machine Learning Automatically Detects COVID-19 using Chest CTs in a Large Multicenter Cohort.

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

CoRR, 2020

Quantification of Tomographic Patterns associated with COVID-19 from Chest CT.

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

CoRR, 2020

2019

Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising.

Peng Liu, Mohammad D. El Basha, Yangjunyi Li, Yao Xiao, Pina C. Sanelli, Ruogu Fang

Medical Image Anal., 2019

Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration.

Yao Xiao, Skylar E. Stolte, Peng Liu, Yun Liang, Pina C. Sanelli, Ajay Gupta, Jana Ivanidze, Ruogu Fang

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2017

TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion.

Ruogu Fang, Ajay Gupta, Junzhou Huang, Pina C. Sanelli

Neurocomputing, 2017

STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion.

Yao Xiao, Ajay Gupta, Pina C. Sanelli, Ruogu Fang

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

2016

Direct estimation of permeability maps for low-dose CT perfusion.

Ruogu Fang, Ajay Gupta, Pina C. Sanelli

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization.

Ruogu Fang, Shaoting Zhang, Tsuhan Chen, Pina C. Sanelli

IEEE Trans. Medical Imaging, 2015

Sparsity techniques in medical imaging.

Ruogu Fang, Tsuhan Chen, Dimitris N. Metaxas, Pina C. Sanelli, Shaoting Zhang

Comput. Medical Imaging Graph., 2015

2014

Improving low-dose blood-brain barrier permeability quantification using sparse high-dose induced prior for Patlak model.

Ruogu Fang, Kolbeinn Karlsson, Tsuhan Chen, Pina C. Sanelli

Medical Image Anal., 2014

Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion.

Ruogu Fang, Pina C. Sanelli, Shaoting Zhang, Tsuhan Chen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning.

Ruogu Fang, Tsuhan Chen, Pina C. Sanelli

Medical Image Anal., 2013

Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion.

Ruogu Fang, Tsuhan Chen, Pina C. Sanelli

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012

Sparsity-Based Deconvolution of Low-Dose Perfusion CT Using Learned Dictionaries.

Ruogu Fang, Tsuhan Chen, Pina C. Sanelli

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Sparsity-based deconvolution of low-dose brain perfusion CT in subarachnoid hemorrhage patients.

Ruogu Fang, Tsuhan Chen, Pina C. Sanelli

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012