Savvas Nicolaou

According to our database, Savvas Nicolaou authored at least 10 papers between 2003 and 2024.

Collaborative distances:

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

2024

The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset.

Jeffrey D. Rudie, Hui-Ming Lin, Robyn L. Ball, Sabeena Jalal, Luciano M. Prevedello, Savvas Nicolaou, Brett S. Marinelli, Adam E. Flanders, Kirti Magudia, George Shih, Melissa A. Davis, John Mongan, Peter D. Chang, Ferco H. Berger, Sebastiaan Hermans, Meng Law, Tyler Richards, Jan-Peter Grunz, Andreas Steven Kunz, Shobhit Mathur, Sandro Galea-Soler, Andrew D. Chung, Saif Afat, Chin-Chi Kuo, Layal Aweidah, Ana Villanueva Campos, Arjuna Somasundaram, Felipe Antonio Sanchez Tijmes, Attaporn Jantarangkoon, Leonardo Kayat Bittencourt, Michael Brassil, Ayoub El Hajjami, Hakan Dogan, Muris Becircic, Agrahara G. Bharatkumar, Eduardo Moreno Júdice de Mattos Farina, Dataset Curator Group, Dataset Contributor Group, Dataset Annotator Group, Errol Colak

CoRR, 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

Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients.

Keegan Lensink, Issam H. Laradji, Marco Law, Paolo Emilio Barbano, Savvas Nicolaou, William Parker, Eldad Haber

CoRR, 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

AI Is Bringing USB Back: Implementing a Beta Chest X-ray Neural Network.

William Parker, Brian Lee, Savvas Nicolaou

J. Digit. Imaging, 2019

2015

Deep venous thrombosis identification from analysis of ultrasound data.

Julian Guerrero, James A. McEwen, Bassam A. Masri, Savvakis Nicolaou, Septimiu E. Salcudean

Int. J. Comput. Assist. Radiol. Surg., 2015

2007

Real-Time Vessel Segmentation and Tracking for Ultrasound Imaging Applications.

Julian Guerrero, Septimiu E. Salcudean, James A. McEwen, Bassam A. Masri, Savvas Nicolaou

IEEE Trans. Medical Imaging, 2007

2006

System for deep venous thrombosis detection using objective compression measures.

Julian Guerrero, Septimiu E. Salcudean, James A. McEwen, Bassam A. Masri, Savvas Nicolaou

IEEE Trans. Biomed. Eng., 2006

2003

Measurement-Based Deep Venous Thrombosis Screening System.

Julian Guerrero, Septimiu E. Salcudean, James A. McEwen, Bassam A. Masri, Savvas Nicolaou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003