Pina C. Sanelli

21 papers Journal 12Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis. CoRR Youngjin Yoo, Han Liu, Bogdan Georgescu, Yanbo Zhang, Sasa Grbic, Michael Baumgartner, Thomas J. Re, Jyotipriya Das, Poikavila Ullaskrishnan, Eva Eibenberger, Andrei Chekkoury, Uttam Bodanapally, Savvas Nicolaou, Pina C. Sanelli, Thomas J. Schroeppel, Yvonne W. Lui, Eli Gibson
2025	—	`conf`	A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage. MICCAI (4) Youngjin Yoo, Bogdan Georgescu, Yanbo Zhang, Sasa Grbic, Han Liu, Gabriela D. Aldea, Thomas J. Re, Jyotipriya Das, Poikavila Ullaskrishnan, Eva Eibenberger, Andrei Chekkoury, Uttam Bodanapally, Savvas Nicolaou, Pina C. Sanelli, Thomas J. Schroeppel, Yvonne W. Lui, Eli Gibson
2025	J	`jnl`	A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage. CoRR Youngjin Yoo, Bogdan Georgescu, Yanbo Zhang, Sasa Grbic, Han Liu, Gabriela D. Aldea, Thomas J. Re, Jyotipriya Das, Poikavila Ullaskrishnan, Eva Eibenberger, Andrei Chekkoury, Uttam Bodanapally, Savvas Nicolaou, Pina C. Sanelli, Thomas J. Schroeppel, Yvonne W. Lui, Eli Gibson
2025	J	`jnl`	Physiology-Informed Generative Multi-Task Network for Contrast-Free CT Perfusion. CoRR Wasif Khan, Kyle B. See, Simon Kato, Ziqian Huang, Amy Lazarte, Kyle Douglas, Xiangyang Lou, Teng J. Peng, Dhanashree A. Rajderkar, John H. Rees, Pina C. Sanelli, Amita Singh, Ibrahim Tuna, Christina A. Wilson, Ruogu Fang
2024	J	`jnl`	Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. npj Digit. Medicine 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
2021	—	`conf`	Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans. ICCVW 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
2020	J	`jnl`	Machine Learning Automatically Detects COVID-19 using Chest CTs in a Large Multicenter Cohort. CoRR 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
2020	J	`jnl`	Quantification of Tomographic Patterns associated with COVID-19 from Chest CT. CoRR 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
2019	J	`jnl`	Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising. Medical Image Anal. Peng Liu, Mohammad D. El Basha, Yangjunyi Li, Yao Xiao, Pina C. Sanelli, Ruogu Fang
2019	—	`ch.`	Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Yao Xiao, Skylar E. Stolte, Peng Liu, Yun Liang, Pina C. Sanelli, Ajay Gupta, Jana Ivanidze, Ruogu Fang
2017	—	`conf`	STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion. MLMI@MICCAI Yao Xiao, Ajay Gupta, Pina C. Sanelli, Ruogu Fang
2017	J	`jnl`	TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion. Neurocomputing Ruogu Fang, Ajay Gupta, Junzhou Huang, Pina C. Sanelli
2016	—	`conf`	Direct estimation of permeability maps for low-dose CT perfusion. ISBI Ruogu Fang, Ajay Gupta, Pina C. Sanelli
2015	J	`jnl`	Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization. IEEE Trans. Medical Imaging Ruogu Fang, Shaoting Zhang, Tsuhan Chen, Pina C. Sanelli
2015	J	`jnl`	Sparsity techniques in medical imaging. Comput. Medical Imaging Graph. Ruogu Fang, Tsuhan Chen, Dimitris N. Metaxas, Pina C. Sanelli, Shaoting Zhang
2014	J	`jnl`	Improving low-dose blood-brain barrier permeability quantification using sparse high-dose induced prior for Patlak model. Medical Image Anal. Ruogu Fang, Kolbeinn Karlsson, Tsuhan Chen, Pina C. Sanelli
2014	—	`conf`	Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion. MICCAI (1) Ruogu Fang, Pina C. Sanelli, Shaoting Zhang, Tsuhan Chen
2013	—	`conf`	Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion. MICCAI (1) Ruogu Fang, Tsuhan Chen, Pina C. Sanelli
2013	J	`jnl`	Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning. Medical Image Anal. Ruogu Fang, Tsuhan Chen, Pina C. Sanelli
2012	—	`conf`	Sparsity-Based Deconvolution of Low-Dose Perfusion CT Using Learned Dictionaries. MICCAI (1) Ruogu Fang, Tsuhan Chen, Pina C. Sanelli
2012	—	`conf`	Sparsity-based deconvolution of low-dose brain perfusion CT in subarachnoid hemorrhage patients. ISBI Ruogu Fang, Tsuhan Chen, Pina C. Sanelli