MKS

Mostofa Kamal Sagor

Adjunct Lecturer

ext.mostofa.kamal@bracu.ac.bd

Websites

github:https://github.com/mostofakamalsagor1998 linkedin:https://www.linkedin.com/in/mostofa-kamal-sagor-8441a4214/

Paper I: An efficient deep learning approach for detecting lung disease from chest X‐Ray.
images using transfer learning and ensemble modeling. (IEEE CSDE 2021 Conference, Brisbane, Australia)
1ST AUTHOR 2021 (IEEE Xplore)
• Proposed the ensemble of Inception‐V3, Vgg 16 & ResNet 50 architectures.
• Used Transfer learning to interpret from the Lungs’ X‐ray images to classify a patient to be pneumonia or normal.
 

Paper II: Interpretable COVID‐19 Classification Leveraging Ensemble Neural Network & XAI. (BIOMESIP 2021 Conference, Gran Canaria, Spain)
3RD AUTHOR 2021 (SpringerLink)
• Proposed two variants ”COV19EXAI‐V1” & ”COV19EXAI‐V2” using the ensemble of Vgg 16, Vgg 19 & ResNet 101 architectures.
• Used Transfer learning & XAI technique to interpret from the Lungs’ CT‐scan images to classify a patient to be Covid or Non‐Covid.


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