2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2021 Open Preview.

CHLG-1: COVID-19 Diagnosis

Session Type: Poster
Time: Monday, 7 June, 09:30 - 12:00
Location: Zoom
Virtual Session: View on Virtual Platform
 
 CHLG-1.1: MULTI-SCALE RESIDUAL NETWORK FOR COVID-19 DIAGNOSIS USING CT-SCANS
         Pratyush Garg; Indian Institute of Technology, Delhi
         Rishabh Ranjan; Indian Institute of Technology, Delhi
         Kamini Upadhyay; Indian Institute of Technology, Delhi
         Monika Agrawal; Indian Institute of Technology, Delhi
         Desh Deepak; Dr. Ram Manohar Lohia Hospital, Delhi
 
 CHLG-1.2: DIAGNOSING COVID‐19 FROM CT IMAGES BASED ON AN ENSEMBLE LEARNING FRAMEWORK
         Bingyang Li; Beijing University of Posts and Telecommunications
         Qi Zhang; Beijing University of Posts and Telecommunications
         Yinan Song; Beijing University of Posts and Telecommunications
         Zhicheng Zhao; Beijing University of Posts and Telecommunications
         Zhu Meng; Beijing University of Posts and Telecommunications
         Fei Su; Beijing University of Posts and Telecommunications
 
 CHLG-1.3: CNR-IEMN: A DEEP LEARNING BASED APPROACH TO RECOGNISE COVID-19 FROM CT-SCAN
         Fares Bougourzi; CNR
         Riccardo Contino; CNR
         Cosimo Distante; CNR
         Abdelmalik Taleb-Ahmed; Univ. Polytechnique Hauts-de-France, Univ. Lille
 
 CHLG-1.4: COVID-19 DIAGNOSTIC USING 3D DEEP TRANSFER LEARNING FOR CLASSIFICATION OF VOLUMETRIC COMPUTERISED TOMOGRAPHY CHEST SCANS
         Shuohan Xue; University of Sheffield
         Charith Abhayaratne; University of Sheffield
 
 CHLG-1.5: A MULTI-STAGE PROGRESSIVE LEARNING STRATEGY FOR COVID-19 DIAGNOSIS USING CHEST COMPUTED TOMOGRAPHY WITH IMBALANCED DATA
         Zaifeng Yang; Institute of High Performance Computing, A*STAR
         Yubo Hou; Institute for Infocomm Research, A*STAR
         Zhenghua Chen; Institute for Infocomm Research, A*STAR
         Le Zhang; Institute for Infocomm Research, A*STAR
         Jie Chen; Hong Kong Baptist University
 
 CHLG-1.6: DETECTING COVID-19 AND COMMUNITY ACQUIRED PNEUMONIA USING CHEST CT SCAN IMAGES WITH DEEP LEARNING
         Shubham Chaudhary; IIT Jammu
         Sadbhawna Thakur; IIT Jammu
         Vinit Jakhetiya; IIT Jammu
         Badri N Subudhi; IIT Jammu
         Ujjwal Baid; University of Pennsylvania
         Sharath Chandra Guntuku; University of Pennsylvania